Literature DB >> 35313901

Methods for bone quality assessment in human bone tissue: a systematic review.

Fangxing Wang1,2, Leyu Zheng3, Jan Theopold3, Stefan Schleifenbaum4, Christoph-Eckhard Heyde3, Georg Osterhoff3.   

Abstract

BACKGROUND: For biomechanical investigations on bone or bone implants, bone quality represents an important potential bias. Several techniques for assessing bone quality have been described in the literature. This study aims to systematically summarize the methods currently available for assessing bone quality in human bone tissue, and to discuss the advantages and limitations of these techniques.
METHODS: A systematic review of the literature was carried out by searching the PubMed and Web of Science databases from January 2000 to April 2021. References will be screened and evaluated for eligibility by two independent reviewers as per PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Studies must apply to bone quality assessment with imaging techniques, mechanical testing modalities, and compositional characterization. The terms used for the systematic search were: "(bone quality". Ti,ab.) AND "(human bone specimens)".
RESULTS: The systematic review identified 502 relevant articles in total. Sixty-eight articles met the inclusion criteria. Among them, forty-seven articles investigated several imaging modalities, including radiography, dual-energy X-ray absorptiometry (DEXA), CT-based techniques, and MRI-based methods. Nineteen articles dealt with mechanical testing approaches, including traditional testing modalities and novel indentation techniques. Nine articles reported the correlation between bone quality and compositional characterization, such as degree of bone mineralization (DBM) and organic composition. A total of 2898 human cadaveric bone specimens were included.
CONCLUSIONS: Advanced techniques are playing an increasingly important role due to their multiple advantages, focusing on the assessment of bone morphology and microarchitecture. Non-invasive imaging modalities and mechanical testing techniques, as well as the assessment of bone composition, need to complement each other to provide comprehensive and ideal information on the bone quality of human bone specimens.
© 2022. The Author(s).

Entities:  

Keywords:  Bone composition; Bone quality; Imaging; Mechanical testing

Mesh:

Year:  2022        PMID: 35313901      PMCID: PMC8935787          DOI: 10.1186/s13018-022-03041-4

Source DB:  PubMed          Journal:  J Orthop Surg Res        ISSN: 1749-799X            Impact factor:   2.359


Introduction

As humans age, the rate of bone resorption by osteoclast cells outpaces the rate of bone formation. The mineral content of aged bones declines, eventually resulting in osteoporosis—a condition in which bones become more fragile and prone to fractures [1]. In accordance with World Health Organization (WHO) criteria, 10% of US women older than 50 years had osteoporosis and another 49% had osteopenia at the femur neck in 2005–2006 [2]. In 2010, osteoporosis affected roughly 22 million women and 5.5 million men in the European Union. In view of the variety of fragility fractures, including hip fractures, vertebral fractures, forearm fractures, the estimated economic burden is €37 billion per year [3]. Hence, research on osteoporotic fractures has increased over the past decades. Although bone mineral density (BMD) is considered to be the gold standard for the evaluation of bone strength and fracture risk [4], bone strength is determined by many other factors as bone microstructure, and bone components [4]. Besides methods for bone quality assessment that have been established in the clinical context, there are methods available to directly analyse the mechanical strength of bone tissue, such as micro-indentation, or nano-indentation tests [5, 6]. The aim of this study was to systematically summarize the current techniques commonly used to assess bone quality in human bone specimens, as well as the advantages and limitations of these methods.

Methods

The PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) checklist and algorithm [7] was used to conduct a systematic review of the literature to find all studies concerning the bone quality assessment of human bone specimens. Since data collection has already been completed at the time of PROSPERO registration, this review could not be registered with PROSPERO. No primary personal data were collected; therefore, no additional ethical approval needed to be obtained.

Information source

A systematic review of the literature was searched by PubMed and Web of Science databases from January 2000 to April 2021. The language of the journal was limited to English, and the searched species was selected to be “human”. To further extend the search, the “similar articles” option of PubMed was employed in each paper.

Search strategy

A search was performed independently by two reviews (F.W. and L.Z.), and terms were used for the systematic search: “(bone quality”. Ti,ab.) AND “(human bone specimens). After removing duplicates, the reviewers scanned the search results by titles and abstracts. After identifying potentially pertinent articles, full-text articles were sourced and checked for suitability according to the inclusion and exclusion criteria (Fig. 1). Any controversy between the two authors was sent and discussed with a third independent author.
Fig. 1

Preferred reporting item systematic reviews and meta-analysis (PRISMA) flow diagram of study selection

Preferred reporting item systematic reviews and meta-analysis (PRISMA) flow diagram of study selection

Eligibility criteria

Studies were selected on the basis of the following inclusion criteria: (a) in vitro experiments regarding the bone quality assessment of human bone specimens; (b) research on bone composition (DBM, organic composition); (c) articles published in English. Exclusion criteria were: (a) no access to full text; (b) case reports and review papers; (c) studies on bone implants or screws, bone histological analysis, and clinical patients; (d) non-English language publications; (e) studies on animal bone specimens; (f) studies on finite element analysis (FEA) models.

Data extraction and analysis

Two authors (F.W. and L.Z.) independently performed data extraction and recorded this data using standard spreadsheet software (Excel for Mac 2016, version 16.2.9, Microsoft, Redmond, WA, USA). This included testing methods, authors and year of publication, journal of publication, study design, number of bone specimens, age, the site of specimens, main findings or summaries.

Assessment of study quality

The Newcastle–Ottawa Scale (NOS) [8] which contains three primary components: selection, comparability, and exposure/outcome, is being used to evaluate the quality of non-randomized trials. For this review, the quality of all studies, including bias, was assessed using the adapted Newcastle–Ottawa Quality Assessment Scale (Additional file 1). According to the total quality score, studies were evaluated with the highest score of eleven, as unsatisfactory (0–5), satisfactory (6–8), and good (9–11), which refers to a published article [9]. Two authors (F.W., and L.Z.) assessed all the included articles independently. Disagreements were recorded by discussion.

Statistical analysis

Continuous variables were described by the mean and standard deviation or median and range. Categorical variables were expressed with absolute and relative frequencies. Statistical significance is defined with P < 0.05. The large heterogeneity and lack of randomized controlled trials made it impossible to perform a meta-analysis. Furthermore, since the distributions of some indicators were only ranges, no other statistical analysis was possible.

Results

Study description and quality assessment

After scrutinizing the titles and abstracts, as well as examining the full texts, the remaining sixty-eight studies were included in the systematic review. Among them, forty-seven articles investigated several imaging modalities, including radiography, dual-energy X-ray absorptiometry (DEXA), CT-based techniques, and MRI-based modalities. Nineteen articles dealt with mechanical testing approaches, including traditional testing methods and novel indentation techniques. Nine articles reported the correlation between bone quality and bone composition, such as DBM, organic composition (Figs. 2 and 3).
Fig. 2

Different testing methods of bone quality, as well as the intrinsic bone composition that affects bone quality

Fig. 3

The percentage of different modalities in assessing bone quality

Different testing methods of bone quality, as well as the intrinsic bone composition that affects bone quality The percentage of different modalities in assessing bone quality A total of 2898 human cadaveric bone specimens were included (Table 1). The number of specimens ranged from 4 to 189 with a mean of 42.62 ± 42.39. Each bone quality assessment method has its advantages and limitations, the details see Table 2. The individual scores of each study are recorded in Table 3. Overall, 4, 52, and 12 of the included studies were rated as “unsatisfactory”, “satisfactory”, and “good”, respectively.
Table 1 

Summary of methods of bone quality with important outcomes, advantages, and limitations

Testing methodsAuthors and year of publicationJournal of publicationStudy designNumber of specimensAge (years)The site of specimensMain findings or summaries
RadiographsTingart, M. J. et al. 2003The Journal of Bone and Joint SurgeryCTI1972 ± 11HumeriThe cortical thickness of the proximal diaphysis is a reliable predictor of the bone quality of the proximal humerus
RadiographsEbraheim N. et al. 2000SpineInternal architecture757–78SacrumThe strongest part of the sacrum is the anterior cortex above the foramina in S1 and S2. The weakest point of the sacrum was found to lie at the level of the junction of S2 and S3
RadiographsHuber, M. B. et al. 2009Medical PhysicsBMD, texture information1470.8 (66.1–73.2)Femoral specimensTexture information contained in trabecular bone structure visualized on radiographs may predict whether an implant anchorage can be used and may determine the local bone quality from preoperative radiographs
RadiographsThevenot, J. et al. 2013Journal of Bone and Mineral ResearchBMD, THI17879.3 ± 10.4Femoral boneConventional radiography is a low‐cost method for evaluating geometry, structure, and fracture risk of bone
Plain radiographs, DEXA, pQCTClavert, P. et al. 2016Surgical Radiologic AnatomyBMD, CMI21NRDistal humerusMore than a direct evaluation of the bone density with a CT-scan, the cortio-medullar index (CMI) of the distal humerus diaphysis is a predictor of the bone quality of the distal humerus
DEXATan, J. S. et al. 2010The Spine JournalBMD189NRLumbar specimensIn vitro BMD scan on explanted specimens measured lower DEXA values than in situ BMD scans on full cadavers. A correction factor when used resulted in more accurate measure of the in situ BMD
DEXAHua Y. et al. 2009Clinical Oral Implants ResearchFractal analysis, morphometry19NRMandibular boneThey investigated the accuracy of fractal analysis and morphometry for bone quality assessment as measured with DEXA
DEXAChoel, L. et al. 2003Oral Surgery Oral Medicine Oral Pathology, and Oral RadiologyBMD, BMC6380.8 ± 10, 82.7 ± 7.3Mandibular boneThe intra-alveolar trabecular bone of these 21 mandibles is affected by the same local and systemic influences as cortical bone, whereas the infra-alveolar trabecular bone is mostly sensitive to dental status
DEXAYang, J. et al. 2012Journal of Biomechanical EngineeringBMD, BMC9NRFemursThe proposed technique is capable of detecting differences in bone quality. The ability to measure site-specific properties without exposure to radiation has the potential to be further developed for clinical applications
DEXA, QCTJohannesdottir, F. et al. 2017BoneBMD, microstructures7674 ± 8.8Proximal femursBoth cortical and trabecular bone contribute to femoral strength, the contribution of cortical bone being higher in femurs with lower trabecular bone density
pQCTChaplais E et al. 2014BMC Musculoskelet DisordMaterial properties of bone1175 (59–93)LegThis protocol extends the capabilities of pQCT to evaluate bone quality in people who may be at an increased risk of metatarsal insufficiency fractures
HR-pQCTKirchhoff C. et al. 2012BMC Musculoskelet DisordGeneral morphology6472.3 ± 17.4Humeral headThe presented microarchitectural data measured by HR-pQCT allow for future subtle biomechanical testing comprising knowledge on age- and sex-related changes of the tuberosities of the humeral head
HR-pQCTde Jong, J. J. et al. 2016The Journal of Bone and Joint SurgeryBone parameters1562–90Distal radialHR-pQCT can be used a promising tool to assess the fracture-healing process in patients with fiberglass cast
HR-pQCT; micro-CTLiu X.S., Sekhon K.K. et al. 2010J Bone and Mineral ResearchMicrostructural of human distal tibia1970.6 (55–84)TibiaMicrostructural measurements and mechanical parameters of distal tibia can be efficiently derived from HR-pQCT images and provide additional information regarding bone fragility
HR-pQCT; micro-CTJorgenson, B. L. et al. 2015BoneCortical porosity and density2366.3 (55–85)Mid-shaft region of tibiaeThe accuracy of the threshold-based method will improve as new HR-pQCT systems emerge and provide a robust quantitative approach to measure cortical porosity
pQCTDiederichs, G. et al. 2006Archives of Orthopaedic and Trauma SurgeryRegional BMD8875.8 ± 13.5HumeriBone quality at the humeral head is best predicted by BMD measurements at the contralateral location rather than the ipsilateral distal site
HR-pQCTManske, S. L. et al. 2015BoneBone microarchitecture2070 (49–95)RadiiThese data support the application of analysis techniques in HR-pQCT that are analogous to those traditionally used for micro-CT to assess trabecular microarchitecture
QCTMann, C. et al. 2018Scientific ReportsBMD1080 (59–92)Lumbar spineA well-established alternative to DXA is QCT, a three-dimensional method which measures trabecular BMD in milligrams per cubic centimeter by indirectly quantifying hydroxyapatite in comparison with a reference phantom
QCTZheng Y et al. 2000SpineBMD1331 (24–36)SacrumThis report detailed BMD variations of the S1 body and ala in a young male group of specimens
pQCTLu WW. et al. 2000Clinical Orthopaedics and Related ResearchBMD1331 (24–36)SacrumThe highest bone mineral density in the lumbosacral spine is found at the pedicles and regions closest to pedicle bases
Micro-CTLee, J. H. et al. 2017Journal of Periodontal &Implant Science3D-microstructure6075.7 (67.3–96)HemimaxillaeBone quality depended on trabecular separation (Tb.Sp) and number—that is, endosteal space architecture—rather than bone surface and trabecular thickness (Tb.Th). Regardless of bone quality, Tb.Th showed little variation
Micro-CTChen, R. E. et al. 2019Clinical Orthopaedics and Related ResearchBMD, CTI1063 (59–67)Distal clavicular regionsIn the distal clavicle, BMD and cortical thickness are greatest in the conoid tubercle and intertubercle space
Micro-CTXie, F. et al. 2018Archives of OsteoporosisMicrostructural properties67NRSpinous processesPost-menopausal women and older men with osteoporosis have worse bone quality in autografts than non-osteoporotic men and women. Postmenopausal women with osteoporosis presented serious microarchitectural deterioration in older population
Micro-CTDing, M. et al. 2012Bonemicroarchitectural, mechanical, collagen and mineral properties of normal adolescent cancellous bone23NRLeft proximal tibiaeMicro-CT can be used to measure various parameters, such as 3D microarchitecture, mechanical properties, collagen and mineral properties of adolescent cancellous bone
Micro-CT, radiographyRupprecht, M. et al. 2006Journal of Orthopaedic ResearchBone microarchitecture60NRCalcaneiBone mass and structure are risk factors in respect to the occurrence and severity of calcaneal fractures, and indicate that calcaneal fractures are at least in part osteoporotic fractures
Micro-CTGreenwood, C. et al. 2018Aging and DiseaseBone microarchitecture16421–93Femoral headsMicro-computed tomography was utilised to investigate the microarchitecture of femoral head trabecular bone from a relatively large cohort of non-fracture and fracture human donors
Micro-CTKuhn, G. et al. 2007Journal Homo of Comparative Human BiologyBone surface structures, microarchitecture5NRPostcranialMicro-CT is a tool of high value for the examination of postcranial bone disorders. It cannot replace histological examinations completely because it cannot assess the bone quality (woven or lamellar)
Micro-CTArnold, E. L. et al. 2020Journal of the mechanical behaviour of biomechanical materialsBMD, TMD, microarchitectural parameters10020–93Femoral headsProperties which are not age dependent are significantly different between age-matched non-fracture and fracture specimens, indicating osteoporosis is a disease, and not just an accelerated aging process
Micro-CTDing, M. et al. 2003The Journal of Bone and Joint Surgery3D microstructural properties12073 (63–81); 72 (58–85)Proximal tibiaeUsing unbiased 3-D methods, we have demonstrated microstructural changes in subchondral cancellous bone in human tibial early OA
Micro-CTMarinozzi, F. et al. 2012Ann Ist Super Sanita3D-structure, morphometric parameters6NRfemoral headsMicro-CT is a promising technique for trabecular bone analysis. Bone morphometric parameters obtained by microtomographic processing allows to completely characterize human bone
Micro-CTKim, Y. J. et al. 2015Clinical Implant Density and Related ResearchBMD, 3D-microarchitecture34NRJawTwo aspects of bone density using micro-CT, the BV/TV and BMD, are highly correlated with 3D micro-architecture parameters, which represent the quality of trabecular bone. This noninvasive method may adequately enhance evaluation of the alveolar bone
Micro-CTKamal, M. et al. 2018The Journal of Craniofacial SurgeryBMD, structural morphometric6069.5 (57.3–81.2)Calvarium, maxillary tuberosity, mandibular ramus, mandibular symphysis, anterior iliac crest, and tibiaThe results show great variation in bone densities and 3D morphometric values across different donor sites
Micro-CTThomsen J.S. et al. 2013BoneBV/TV, Tb.Th, Tb.N, SMI, CD, DA7921.7–96.4; 22.6–94.6Second lumbar vertebral (L2)Vertical and horizontal oriented bone density decreases with age in both women and men, and that vertical oriented bone is lost more quickly in women than in men,
NMRNi, Q.W. et al. 2007Measurement Science and TechnologyBound and mobile water1065.9 (51–87)FemursBound to mobile water may be used as a measure of bone quality describing both porosity and water content, both of which may be important determinants of bone strength and fracture resistance
HR-MRILink, T. M. et al. 2003European RadiologyTrabecular bone structure3976.9 ± 7.2Distal radiusHigh-resolution MR-derived structure parameters, however, performed better in the prediction of trabecular bone structure
MRI (HR-MRI)Vieth V. et al. 2001Investigative RadiologyTrabecular bone structure parameters3068.5 ± 8.2CalcaneusTrabecular bone structure depicted by HR-MRI is significantly correlated with that shown in macro-sections
Micro-MRILiu, X. S., Rajapakse C. S. et al. 2010Journal of Bone and Mineral Research3D model-independent microstructural measurements2570.6 (55–84)Distal tibiasMost microstructural and mechanical properties of the distal tibia can be derived efficiently from micro-MR images and can provide additional information regarding bone quality
Cyclic compressive loadingGoff, M. G.et al. 2015BoneBone microdamage3278 ± 8.8Vertebral cancellous boneMicrodamage accumulation in fatigue is likely dominated by heterogeneity in tissue material properties rather than stress concentrations caused by micro-scale geometry
Compression-tension loadingBevill, G. et al. 2006BoneBone volume fraction and architecture, bone strength5470 ± 11Femoral neck, greater trochanter, proximal tibia, vertebral bodyWithin very low-density bone, the potentially important biomechanical effect of large-deformation failure mechanisms on trabecular bone strength is highly heterogeneous and is not well explained by standard architectural metrics
Compression testDing M et al. 2001Acta Orthop ScandMechanical and compositional properties1073 (63–81)Proximal tibiaeCancellous bone quality is reflected by the amount of bone tissue present, the mechanical properties of the tissue, and its trabecular architecture
Compression testKalouche, I. et al. 2010Clinical biomechanicsMechanical properties8288.9 (76–96)Cadaveric shouldersGood correlation between apparent density and elastic modulus was found only in the sagittal planes but not in the coronal and axial plane
Compression testBayraktar, H. H. et al. 2004Journal of BiomechanicsElastic and yield properties9465.5 ± 9.1; 71.8 ± 8.8Femoral neckThe elastic modulus and yield strains for trabecular tissue are just slightly lower than those of cortical tissue, because of the cumulative effect of these differences, tissue strength is about 25% greater for cortical bone
Micro-indentationDall'Ara, E. et al. 2012BoneBone microdamage3544–82Thoracolumbar vertebral bodies (T12-L5)Micro-indentation was found to discriminate between highly damaged and intact tissue in both trabecular and cortical bone tested in vitro. It remains to be investigated whether this technique would be able to detect also the damage
RPI, bending testGranke, M. et al. 2014Journal of the mechanical behaviour of biomechanical materialsTissue anisotropy, mechanical behaviour2625–101Femoral mid-shaftWith a transverse isotropic behaviour akin to tissue hardness and modulus as determined by micro- and nanoindentation and a significant association with toughness, RPI properties are likely influenced by both elastic and plastic behaviour of bone tissue
RPIJenkins, T. et al. 2015Journal of the mechanical behaviour of biomechanical materialsMaximum load, sample orientation, mode of use, sample preparation and measurement spacing567–89Femoral headsRPI users can minimize the potential confounding effects associated with the variables investigated here and reduce the coefficient of variation, hence achieving more consistent testing
NanoindentationAlbert, C. et al. 2013Clinical biomechanicsBone tissue elastic modulus and hardness115–18Lower extremity long bonesNanoindentation can be used to measure bone material properties, providing valuable data
Cyclic fatigue loading; Micro-CTLambers, F. M.et al. 2013PLoS OneMechanical properties, microdamage and bone microarchitecture3276 ± 8.8The third lumbar vertebral bodiesEven small amounts of microscopic tissue damage in human vertebral cancellous bone may have large effects on subsequent biomechanical performance
Micro-CT, compression testingCharlebois, M. et al. 2010Journal of Biomechanics EngineeringVolume fraction, compressive behaviour14853–100T12 vertebrae, distal radii, femoral head, calcaneiReasonable predictions of their compressive mechanical behaviour can be made using the volume fraction and fabric over a broad range of strains
Radiographs, Micro-CT, compressive loadingYeni, Y. N., Wu B., et al. 2013Journal of Biomechanics EngineeringMicrostructure at various levels of compressive deformation7NRFemoral and tibial cancellous bone cylindersThe heterogeneity of the microstructure is especially sensitive to deformation and these could be good parameters to use to estimate strain history in the tissue
QCT, uniaxial compression testWachter NJ. et al. 2001Clinical BiomechanicsSingh index, mechanical competence3168.3 ± 11.7FemursAssessment of bone mineral density by QCT is a reliable and precise method for the estimation of cancellous bone material properties
NMR, three-point bending testingNyman, J S. et al. 2008BoneMobile and bound water; Bone strength and toughness1866.3 (47–87)FemursQuantifying mobile and bound water with magnetic resonance techniques could potentially serve as indicators of bone quality
Bending test, CT scannerLettry, S. et al. 2003BoneMechanical properties, CT numbers585.8 (53–106)MandibleA weak correlation was found between the modulus values and the CT number of the mandible. This would not be sufficient for accurate predictions of the bone properties from CT scans
Micro-CT, compression testKarim, L. et al. 2011Journal of Orthopaedic ResearchBone microdamage2618–97Tibial plateausLow bone volume fraction and increased structure model index have strong influences on microdamage accumulation in bone through altered initiation
Micro-CT, micro-indentation, and bending testMerlo, K. et al. 2020Journal of Orthopaedic ResearchMicroarchitecture, Mechanical Properties, and AGEs4073.1 ± 10.9TibiasThe accumulation of AGEs would cause lower elastic modulus and lower fracture toughness in human cortical bone
Micro-CT, RPIBeutel, B. G. et al. 2015BoneBV/TV, Porosity, Mechanical outputs679 (76–88)TibiaeRPI parameters will help to further facilitate its use as a clinical diagnostic tool
RPI, bending testKrege J.B. et al. 2016BoneIDI, TID, bone toughness476–85FemoraRPI measurements alone, as compared to bending tests, are insufficient to reach conclusions regarding mechanical properties of bone
Indentation testing, CT scannerZumstein, V. et al. 2012Journal of Shoulder and Elbow SurgeryMechanical strength, subchondral mineralization3280.5 (59–95)ShoulderMechanical strength and subchondral mineralization in the humeral head are significantly associated
X-ray radiograms, tensile fracture toughnessYeni, Y. N. Brown C. U.et al. 2013Journal of the mechanical behaviour of biomechanical materialsFemoral cortex geometry, tissue mechanical properties2553.3 ± 19.7femursFracture toughness of the tissue was significantly related to radiogram metric indices and that some of these indices explained a greater variability in toughness than porosity, age or gender
Micro-CT, nanoindentation, compressive loadingLi, Z. C. et al. 2012Arthritis RheumFatigue strength, microarchitecture, mineralization degree, and biomechanical properties6053–86; 59–87Femoral headThe difference in mechanical properties between osteoarthritis and osteoporosis cancellous bone is attributed to different bone mass and bone structure
Compressive loading, microscopic analysisHernandez, C. J. et al. 2014BoneMechanical properties, BV/TV and microdamage4764–92Vertebral cancellous boneSmall amounts of microdamage do not necessarily indicate impaired mechanical performance, the presence of modest amounts of microdamage is always indicative of large reductions in cancellous bone stiffness and strength
Bending test, RPI, nanoindentationKatsamenis, O. L. et al. 2015BoneFracture toughness, crack growth resistance463.25 (43–83)FemursRPI is an emerging technique with the clinical potential for the direct assessment of the mechanical properties of the bone
Bone composition; Compression testFollet, H. et al. 2004BoneDBM, mechanical properties2078 ± 8CalcaneusThe increase in bone strength when DBM is modified in a physiological range without necessary changes of bone matrix volume and bone microarchitecture
Bone compositionSaito, M. et al. 2006Calcified Tissue InternationalDBM, collagen crosslinking50

78 ± 6

77 ± 6

HipDetrimental crosslinking in both low and high mineralized bone result in impaired bone quality in osteoporotic patients
Bone compositionKarim, L. et al. 2012PLoS OneHeterogeneous glycation4259.3 ± 22.1tibial plateausThe extent of NEG in tibial cancellous bone was the dominant predictor of bone fragility and was associated with changes in microarchitecture and microdamage
Bone compositionWillett, T. L.et al. 2019Bonebone collagen integrity parameters, fracture toughness5464.4 ± 21.3Femurs or femur mid-shaftsBone collagen integrity as measured by thermomechanical methods is a key factor in cortical bone fracture toughness
Bone compositionPoundarik, A. A. et al. 2015Journal of the mechanical behaviour of biomechanical materialsGlycated collagen934–85TibiaeAdvanced glycation end-products (AGEs) are predictive of bone quality in aging humans and have diagnostic applications in fracture risk
Bone compositionUral, A. et al. 2015Osteoporosis internationalNEG9660.6 ± 21.0Proximal end of tibiaeAGEs alter the resorption process and/or accumulate in the tissue as a result of reduced resorption and may lead to bone fragility by adversely affecting fracture resistance through altered bone matrix properties
Bone compositionWang X et al. 2002BoneCollagen molecular structures, mechanical integrity of the collagen network, mechanical properties of bone3019–89FemursThe adverse changes in the collagen network occur as people age and such changes may lead to the decreased toughness of bone. Also, the results suggest that nonenzymatic glycation may be an important contributing factor causing changes in collagen and, consequently, leading to the age-related deterioration of bone quality

CTI: Cortical thickness; 2D: Two-dimensional; 3D: Three-dimensional; DEXA: Dual-energy X-ray absorptiometry; BMD: Bone mineral density; BMC: Bone mineral content; Micro-CT: Micro-computed tomography; μMRI: Micro-magnetic resonance imaging; BV/TV: Bone volume fraction; Tb.Th: Trabecular thickness; Tb.Sp: Trabecular spacing; Tb.N: Trabecular number; BS/TV: Bone surface density; SMI: Structure model index; Conn.D.: Connectivity density; CD: Connectivity density; DA: Degree of anisotropy; HR-MRI: High-resolution magnetic resonance imaging; RPI: Reference point indentation; HR-pQCT: High-resolution peripheral quantitative computed tomography; CMI: Cortical-medullar index; THI: Trabecular homogeneity index; NMR: Nuclear magnetic resonance; IDI: Indentation distance increase; TID: Total indentation distance; DBM: Degree of bone mineralization; AGEs: Advanced glycation end products; NEG: Non-enzymatic glycation; TMD: Tissue mineral density

Table 2 

Summary of studies characteristics, patient or specimen demographic details and main findings or summaries

CategoryMethodsMain indicatorsAdvantagesLimitations
Imaging modalitiesX-ray-based modalitiesRadiographyCTI, CMI, THISimplicity, low-cost, low radiation doseInsufficient precision, 2D imaging
DEXABMC, BMDLow radiation dose, accuracy, simplicity2D imaging, cannot capture the 3D micro-architecture
CT-based modalitiesQCT, pQCT, HR-pQCT3D-morphology, BMC, BMDHigh spatial resolution,, reproducible, 3D imaging, non-invasivenessLarger radiation does, expensive equipment
Micro-CT3D-microstructure, BV/TV, Tb.Th, Tb.Sp; Tb.N, BS/TV, BS/BV, SMI, Conn.D

Comprehensive, high spatial resolution,

3D bone structure, non-invasiveness

Larger radiation does, expensive equipment
MR-based modalitiesNMR, HR-MRI, μMRI3D bone geometry, trabecular morphology

High accuracy, no radiation, high-resolution

3D imaging, non-invasiveness

Expensive equipment, professional operation, more susceptible to image post-processing
Mechanical testingTraditional testingCompression, tension, bending, and torsion tests

Elastic modulus, Ultimate strength,

Yield strength

Directness, accuracy, simplicityDestructive testing, cannot be repeated
Indentation testingMacro-indentation, RPI, nano-indentationHardness, BrittlenessDirectness, simplicity, minimally invasivenessIts outcomes are relatively sole, limited to superficial sites, reliability and significance of parameters need to be validated further
Bone compositionComputerized quantitative contact microradiography method, HPLC, et alDBM, Organic phasesAn intrinsic effect on bone stiffness and strengthNot comprehensive enough
Table 3

Quality Assessment of the Studies by the Newcastle–Ottawa Scale

StudySelection comparability outcomeTotal (11/11)
SelectionComparabilityOutcome
Representativeness of anatomical sites or factorsRepresentativeness of parametric dataSample sizeComparability of test/controls on the basis of the analysisAssessment of outcomeAssessment methodOutcome descriptionSpecimen information (age)Amount of specimens large enoughStatistical test
Wang X. et al. 20020007/11
Tang JS et al. 20100007/11
Ebraheim N et al. 200000006/11
Tingart MJ et al. 2003008/11
Link TM et al. 20030007/11
Kim YJ et al. 201500006/11
Xie F et al. 20180007/11
Chen RE et al. 201900006/11
Greenwood C et al. 2018008/11
Hua Y. et al. 201900006/11
Choel L et al. 2003008/11
Huber, M. B. et al. 20090007/11
Johannesdottir, F. et al. 20170★★09/11
Yang J et al. 201200006/11
Thevenot, J. et al. 2013008/11
Kuhn, G. et al. 20070000004/11
Arnold, E. L. et al. 2020008/11
Lee JH et al. 2017008/11
Kamal M et al. 20180007/11
Lu WW et al. 2000000005/11
Zheng Y et al. 2000000005/11
Mann, C. et al. 20180007/11
Manske, S. L. et al. 20150007/11
Diederichs, G. et al. 2006008/11
Kirchhoff C. et al. 2012008/11
Rupprecht, M. et al. 20060★★0007/11
Albert, C. et al. 20130007/11
Ding, M. et al. 201200006/11
Jenkins, T. et al. 20150007/11
Clavert, P. et al. 20160★★0007/11
Katsamenis, O. L. et al. 20150★★008/11
Hernandez, C. J. et al. 2014★★009/11
Liu, X. S. et al. 20100007/11
de Jong, J. J. et al. 20160★★008/11
Chaplais E et al. 201400★★0006/11
Li, Z. C. et al. 20120★★09/11
Yeni, Y. N. et al. 20130★★0007/10
Zumstein, V. et al. 2012★★009/11
Krege, J.B. et al. 20160★★008/11
Beutel, B. G. et al. 20150★★008/11
Merlo, K. et al. 2020★★009/11
Karim, L. et al. 20110★★008/11
Ni, Q.W. et al. 200700006/11
Bayraktar, H. H. et al. 20040007/11
Lettry, S. et al. 200300★★007/11
Lambers, F. M.et al. 20130★★008/11
Kalouche, I. et al. 201009/11
Ding M et al. 20010007/11
Bevill, G. et al. 2006008/11
Goff, M. G.et al. 20150007/11
Dall'Ara, E. et al. 20120007/11

Granke, M. et al

2014

0★★008/11
Follet, H. et al. 20040★★008/11
Ural, A. et al. 2015008/11
Poundarik, A. A. et al. 201500006/11
Nyman JS. et al. 20060007/11
Willett, T. L.et al. 2019008/11
Karim, L. et al. 2012008/11
Saito, M. et al. 2006008/11
Yeni, Y. N. et al. 20130★★008/11
Charlebois, M. et al. 20100★★09/11
Thomsen, J S. et al. 20130★★09/11
Wachter NJ. et al. 20010★★09/11
Jorgenson, B. L. et al. 20150★★09/11
Marinozzi, F. et al. 20120000004/11

Ding, M. et al

2003

09/11

Liu XS. et al

2010

0★★09/11

Vieth V. et al

2001

008/11
Summary of methods of bone quality with important outcomes, advantages, and limitations 78 ± 6 77 ± 6 CTI: Cortical thickness; 2D: Two-dimensional; 3D: Three-dimensional; DEXA: Dual-energy X-ray absorptiometry; BMD: Bone mineral density; BMC: Bone mineral content; Micro-CT: Micro-computed tomography; μMRI: Micro-magnetic resonance imaging; BV/TV: Bone volume fraction; Tb.Th: Trabecular thickness; Tb.Sp: Trabecular spacing; Tb.N: Trabecular number; BS/TV: Bone surface density; SMI: Structure model index; Conn.D.: Connectivity density; CD: Connectivity density; DA: Degree of anisotropy; HR-MRI: High-resolution magnetic resonance imaging; RPI: Reference point indentation; HR-pQCT: High-resolution peripheral quantitative computed tomography; CMI: Cortical-medullar index; THI: Trabecular homogeneity index; NMR: Nuclear magnetic resonance; IDI: Indentation distance increase; TID: Total indentation distance; DBM: Degree of bone mineralization; AGEs: Advanced glycation end products; NEG: Non-enzymatic glycation; TMD: Tissue mineral density Summary of studies characteristics, patient or specimen demographic details and main findings or summaries Comprehensive, high spatial resolution, 3D bone structure, non-invasiveness High accuracy, no radiation, high-resolution 3D imaging, non-invasiveness Elastic modulus, Ultimate strength, Yield strength Quality Assessment of the Studies by the Newcastle–Ottawa Scale Granke, M. et al 2014 Ding, M. et al 2003 Liu XS. et al 2010 Vieth V. et al 2001

Imaging modalities

Imaging modalities for assessing bone quality have various advantages, including non-invasiveness, multiple measurements. Especially, the development of advanced imaging techniques allows the assessment of bone quality at the three-dimensional (3D) microstructure level, such as QCT, micro-CT, high-resolution magnetic resonance imaging (HR-MRI).

X-ray-based modalities

Radiography

Traditional radiography is a cost-effective, widely available method for examining bone geometry, structure, and fracture risk that has been utilized in a wide range of studies [10-16]. The fracture toughness of bone tissue is highly connected to the bone shape defined by parameters based on plane X-ray radiogrammetry [11]. Furthermore, cortical thickness (CTI) and cortical-medullar index (CMI), as predictors of bone quality, can be obtained from anteroposterior radiographs [10, 15]. Tingart et al. [15] used anteroposterior radiographs to measure the CTI of 19 human cadaver humeri. The results indicated that the CTI of the proximal diaphysis can be a reliable indicator of the bone quality of the proximal humerus. Moreover, the CTI measured by radiographs has a significant positive correlation with BMD evaluated by DEXA. Clavert et al. [10] tested the CMI of 21 cadaveric distal humeri by plain radiographs showed that it is a predictor of the bone quality of the distal humerus and has a significant positive correlation with BMD measured by DEXA and CT-scan (pQCT). Aside from CTI and CMI, the trabecular homogeneity index (THI) was also used to assess bone quality using a plain radiograph, and it shows a strong connection with DEXA and CT-derived data [12]. However, radiography has its limitations, such as low sensitivity, unable to further visualize the microstructure of bone specimens, and that only 2D images are available.

Dual-energy X-ray absorptiometry (DEXA)

DEXA can provide an integrated examination of cortical and trabecular bone, which is frequently practiced in routine practice [10, 17–21]. Choel et al. [17] used 63 mandibular bone specimens to investigate the potential utilization of DEXA for the assessment of bone mineral content (BMC) and BMD prior to implant placement. Furthermore, Hua et al. [18] used 19 mandibular bone samples to evaluate the accuracy of fractal analysis and morphometry measured by DEXA. However, the limitations of the DEXA technique also need to be considered. Yang et al. [19] suggested that BMD measured by DEXA is only one aspect of the complex understanding of bone quality. Tan et al. [20] used 189 human lumbar specimens to verify and quantify the difference in DEXA-BMD between unexplained (in situ) and explanted (in vitro) scans. They found that the in vitro BMDs of the specimens were lower than those of in situ scans. This implied that several factors can affect the accuracy of the DEXA technique, such as the process of preparation, the surrounding soft tissue and their composition, and the scanning conditions. Additionally, Johannesdottir F [21] found that the aBMD of the femoral neck by DEXA (R2 = 0.69) was significantly lower than bone strength measured by QCT-based FEA in predicting femoral failure load.

CT-based modalities

Quantitative computed tomography (QCT)

As a reliable and accurate technique, QCT and HR-pQCT scans have been used in the laboratory and provide us with valuable and comprehensive insight into bone quality [10, 22–32]. A study by Wachter et al. [30] concluded that QCT is a better predictor for the mechanical strength of the intertrochanteric region with objectivity and high precision. Liu et al. [28] reported that microstructural measurements and mechanical characteristics of the distal tibia can be efficiently derived from HR-pQCT images. Also, HR-pQCT is a promising tool for assessing the fracture healing process at the microscale [23]. Briefly, pQCT has emerged as an accurate technique for measuring bone quality with multiple advantages, including measured density-independent of overlying tissue, less susceptible to interference from bone size, relatively safe, higher accuracy, and 3D visualization [26, 31, 32]. Compared to the first-generation HR-pQCT with a nominal isotropic voxel size of 82 μm, the second-generation HR-pQCT has been improved to 61 μm, which allows a more accurate assessment of trabecular thickness (Tb.Th) [24].

Micro-computed tomography (Micro-CT, μCT)

Micro-CT is an advanced imaging modality for quantifying bone quality with high resolution. Currently, it has been gradually applied to assess the bone quality of human bone specimens, with a range of isotropic voxel resolution from 9 to 37 μm [14, 25, 28, 33–47]. Micro-CT imaging technique has higher accuracy compared to HR-pQCT, and it is considered as the “gold standard” in bone quality assessment, which allows objective and quantitative evaluation of trabecular bone structure [28, 38, 46]. Moreover, the combination of micro-CT images and mechanical tests can provide valuable and comprehensive information about the microarchitecture and microdamage of human cancellous bone specimens [41, 43]. To explore the influences of osteoporosis and gender on the microstructure of bone grafts, Xie et al. [35] used micro-CT to measure several important microstructure parameters, including bone volume fraction (BV/TV), bone surface density (BS/TV), specific bone surface (BS/BV), trabecular thickness (Tb.Th), trabecular number (Tb.N), trabecular separation (Tb.Sp), structure model index (SMI), and connectivity density (Conn.D.). This non-invasive technique may be sufficient to enhance the evaluation of the bone quality of human bone tissue.

MR-based modalities

The MR-based modalities are a promising tool for evaluating bone morphometry due to their non-invasiveness, and high innate contrast between bone and soft tissue [46, 48–50]. Applications of MR-based scanning include nuclear magnetic resonance (NMR), high-resolution MRI (HR-MRI), and micro-MRI (μMRI). Link et al. [49] compared parameters of the trabecular bone structure obtained from HR-MRI and multi-slice computed tomography (MSCT) with 39 distal radius bone specimens. Their data indicated that structure parameters derived from HR-MRI performed better in the prediction of trabecular bone structure, although this technology is more susceptible to image post-processing. In addition, the distribution and changes of water within bone tissue in relation to bone quality (i.e. bone strength and toughness) were also investigated by nuclear magnetic resonance (NMR) [48]. The findings demonstrated that quantification of mobile and bound water by MR imaging techniques could potentially serve as an indicator of bone quality. Correspondingly, Ni et al. [48] reported that the distribution of bound and free water measured by NMR could be considered as an important factor to determine bone quality. For microstructure analysis of micro-MRI images, Liu et al. [46] validated the 3D model-independent microstructure measurements by micro-MRI and micro-CT. They concluded that the microstructural and mechanical properties of most bone specimens could be efficiently derived from micro-MRI, as well as provide additional information on bone quality.

Mechanical testing methods

Traditional testing

In addition to indirect imaging modalities, traditional mechanical methods can provide an accurate and direct assessment of bone quality at the tissue level, such as structural stiffness, bone strength, elastic modulus, and ultimate stress [51-55]. Several studies quantitatively investigate the changes in microstructure and morphology of human bone specimens using a combination of mechanical testing methods and micro-CT [56-60]. A uniaxial compression test was employed by Kalouche et al. [55] to determine the mechanical characteristics of glenoid cancellous bone in the three planes (axial, coronal, and sagittal). Bayraktar et al. [51] compared the mechanical properties at the tissue level by compression and tensile tests using human trabecular and cortical bone specimens. Charlebois et al. [56] studied 148 bone specimens from different anatomical regions using unconfined and confined compression methods. The data on the behaviour of human trabecular bone at large strain under compression indicated that the influence of tissue fabric would decrease with strain and plays a significant role in the softening behaviour of bone tissue. Furthermore, the application of mechanical loading also allows the microdamage of bone specimens to be studied, which is an aspect of bone quality [59, 60]. Lambers et al. [57] suggested that microdamage has a greater impact on the bone quality of human cancellous bone. Hence, the application of these traditional testing methods can provide more direct data on bone quality at both the tissue and micro-levels when combined with micro-CT.

Indentation testing

Currently, micro-indentation testing can measure bone properties at the millimeter level, and nano-indentation testing has the potential to measure the mechanical properties of bone at the level of trabeculae or osteons. These novel techniques are being used in vitro to evaluate bone quality at various anatomical sites [5, 6, 61–67]. A study by Dall'Ara et al. [5] concluded that micro-indentation has the ability to distinguish between severely damaged and intact tissue for human vertebral bone tissue. Jenkins et al. [63] claimed that reference point micro-indentation (RPI) can be used as a useful tool for evaluating the mechanical properties of bone in the laboratory. Two studies directly compared RPI with traditional mechanical tests (bending test) [66, 67]. Granke et al. [66] claimed that RPI properties are likely to be influenced by both elastic and plastic behaviour of bone tissue. However, Krege et al. [67] reported that the RPI technique alone is not sufficient to evaluate the mechanical properties of bone. For nanoindentation, it provides a novel perspective that has been applied to the research on bone materials, especially for volumes as small as lamellae [6, 65]. Albert et al. [6] used nanoindentation to investigate the effects of disease severity (osteogenesis imperfecta) on the local elastic modulus and hardness of bone tissue. The nanoindentation technique makes it possible to investigate the characterization of bone material properties and evaluate modulus and hardness at a smaller scale.

Compositional characterization

As mentioned above, water within bone tissue has a certain effect on bone quality (i.e. bone strength and toughness), which can be measured by NMR. But additionally, compositional characterization (i.e. DBM and organic compositions) is generally acknowledged as being important.

Degree of bone mineralization

The mineralization process consists of a primary deposition of mineral substance on the calcification front, followed by a slow and progressive increase in mineral deposition named secondary mineralization [68]. According to Follet et al. [68], the more mineralized the cancellous bone, the greater the stiffness and compressive strength. Although the increase in DBM may make bone stiffer and more resistant to mechanical loading, too high a mineral to matrix ratio would result in increased brittleness (i.e. higher tendency to crack propagation), and decreased toughness (i.e. the ability to deform without fracturing). Contrastly, this ratio that is too low can lead to bone softening, reduced stiffness and strength. Saito et al. [69] reported that DBM is related to distinct patterns of enzymatic and non-enzymatic cross-links in human bones and is an important element in assessing bone quality.

Organic composition

The ability of bone strength is not only determined by DBM, but also by organic composition (i.e. collagen glycation, collagen cross-links), which has been explored in various studies [47, 70–75]. As the major organic interagent, type I collagen is vulnerable to enzymatic and non-enzymatic biomechanical alterations that impact bone quality in numerous ways [47, 73]. The testing data by Poundarik et al. [72] indicated that advanced glycation end products (advanced glycation end products, AGEs) created by non-enzymatic glycation could be used for diagnostic applications in fracture risk assessment. Ural et al. [70] measured total fluorescent AGEs from 96 human cortical bone specimens indicated that AEGs may contribute to bone fragility by altering bone matrix properties. Furthermore, the extent of non-enzymatic glycation (NEG) is linked to alterations in the microarchitecture and microdamage of cancellous bone [73]. Willett et al. [71] used hydrothermal isometric tension (HIT) to measure the collagen’s thermal stability and network connectivity in order to observe the correlation between bone collagen integrity and fracture toughness of cortical bone. They found that the integrity of bone collagen is a critical factor for the fracture toughness of cortical bone. Therefore, the investigation of the bone matrix at the microstructure, and in particular collagen, plays a fundamental role in the mechanical properties of bone tissue at the macroscopic level.

Discussion

The application of each method is closely related to the study design and the outcomes of interest. The X-ray-based imaging methods, including radiography and DEXA, have the advantages of low-cost, low-radiation. However, their limitations make it impossible to provide comprehensive and accurate information on bone quality. For CT-based techniques, including QCT, HR-pQCT, and micro-CT, they can perform 3D image reconstruction and microstructure analysis of human bone specimens, which enables more accurate and comprehensive bone quality information. Many studies have taken micro-CT imaging analysis as the “gold standard” of bone quality assessment [28, 38, 46]. The micro-CT technique can be considered as a comprehensive, high-resolution, three-dimensional, non-invasive technique for the assessment of bone microstructure. Moreover, the development of advanced MRI-based techniques, such as NMR, HR-MRI, micro-MRI, has shown promising results in the assessment of bone structure and water composition, providing additional information [46, 50]. However, most of the advanced imaging techniques described in this review are limited to a minority of laboratories due to expensive equipment and professional operation. Related research and technological breakthroughs need to be explored in order to make these novel imaging techniques to in vivo research and eventually to the clinic. Compared to indirect imaging techniques, conventional mechanical methods can directly provide the performance of whole bone or bulk tissue specimens. Nevertheless, they are used only for ex vivo bone specimens due to the nature of destruction. However, with the development of indentation techniques, it is possible to directly test bone quality in a minimally invasive manner [5, 62, 66]. This technique has the advantages of being direct, simple, minimally invasive, as well as allowing in vivo testing. The shortcomings are that its results are relatively sole (only tissue hardness and brittleness) [66] and are limited to superficial sites, such as the tibial midshaft. Also, the reliability and significance of the parameters need to be validated further [76]. From our perspective, the combination of imaging modalities and mechanical testing methods would be a good choice for the assessment of bone quality ideally and comprehensively at both micro- and tissue levels. Furthermore, compositional characterization, both DBM and organic composition, plays an essential role in assessing the mechanical properties of bone tissue and can provide more fundamental information that yields mechanistic insights into affecting bone quality [68, 69, 71]. Especially for bone collagen, there is a significant association with clinically relevant bone diseases, such as osteoporosis, osteogenesis imperfecta, and diabetes-related diseases [77, 78]. Previous studies have reported that collagen content in human bones reaches a maximum during adolescence and gradually decreases thereafter with aging [77, 79]. Compared with age-matched healthy subjects, osteoporotic bone indicated that reductions in the enzymatic cross-links and an increase in AGEs cross-links in bone [69, 80]. In diabetic bone tissue, BMD may be normal, but bone strength has decreased, which correlates with the increased formation of AGEs [77, 81]. For osteogenesis imperfecta, it is also a disease closely associated with collagen, and studies have shown that the orientation of collagen is highly disordered and that the collagen-mineral particle network is profoundly altered [78]. Therefore, the alteration of bone quality and biomechanical performances is the macroscopic result of a sequence of composition and microstructural events. There are several limitations to our systematic review. First, not all test methods and studies were summarized in our review, which is a limitation of all systematic reviews. In this article, “bone quality” and “human bone specimens” were used as search terms. Actually, “bone quality” is not universally defined, and there are several other interchangeable phrases used, including “bone material quality”, “bone matrix quality”, etc. Similarly, the search term “human bone specimens” is interchangeable with “human bone samples”. Due to the limitation of content, it is difficult, or even almost impossible, to use all possible search terms in a review. In order to further expand the search, the “similar articles” option of PubMed and the references for main articles were used in this review. Second, there is the risk of selection bias since the presence of heterogeneous. Finally, this review focuses only on imaging techniques, mechanical testing methods, and the effects of compositional characterization, computational techniques such as FEA are not included.

Conclusions

Advanced techniques are playing an increasingly important role due to their multiple advantages, focusing on the assessment of bone morphology and microarchitecture. Non-invasive imaging modalities and mechanical testing techniques, as well as the assessment of bone composition, need to complement each other in order to provide comprehensive and ideal information on the bone quality of human bone specimens. Additional file 1. The adapted Newcastle-Ottawa Quality Assessment Scale was used for quality assessment of the included studies.
  79 in total

1.  Microindentation can discriminate between damaged and intact human bone tissue.

Authors:  E Dall'Ara; R Schmidt; P Zysset
Journal:  Bone       Date:  2012-01-14       Impact factor: 4.398

2.  The role of fabric in the large strain compressive behavior of human trabecular bone.

Authors:  Mathieu Charlebois; Michael Pretterklieber; Philippe K Zysset
Journal:  J Biomech Eng       Date:  2010-12       Impact factor: 2.097

Review 3.  Methods for assessing bone quality: a review.

Authors:  Eve Donnelly
Journal:  Clin Orthop Relat Res       Date:  2011-08       Impact factor: 4.176

4.  Degree of mineralization-related collagen crosslinking in the femoral neck cancellous bone in cases of hip fracture and controls.

Authors:  Mitsuru Saito; Katsuyuki Fujii; Keishi Marumo
Journal:  Calcif Tissue Int       Date:  2006-09-11       Impact factor: 4.333

5.  Correlation between mineralization and mechanical strength of the subchondral bone plate of the humeral head.

Authors:  Valentin Zumstein; Marko Kraljević; Dieter Wirz; Rolf Hügli; Magdalena Müller-Gerbl
Journal:  J Shoulder Elbow Surg       Date:  2011-08-26       Impact factor: 3.019

6.  Three-dimensional microarchitecture of adolescent cancellous bone.

Authors:  Ming Ding; Carl Christian Danielsen; Ivan Hvid; Søren Overgaard
Journal:  Bone       Date:  2012-08-02       Impact factor: 4.398

7.  The relationships between femoral cortex geometry and tissue mechanical properties.

Authors:  Yener N Yeni; Christopher U Brown; Thomas A Gruen; Timothy L Norman
Journal:  J Mech Behav Biomed Mater       Date:  2013-01-23

8.  In Vitro-Induced High Sugar Environments Deteriorate Human Cortical Bone Elastic Modulus and Fracture Toughness.

Authors:  Kelly Merlo; Jacob Aaronson; Rachana Vaidya; Taraneh Rezaee; Vijaya Chalivendra; Lamya Karim
Journal:  J Orthop Res       Date:  2019-12-08       Impact factor: 3.494

9.  Variability in reference point microindentation and recommendations for testing cortical bone: maximum load, sample orientation, mode of use, sample preparation and measurement spacing.

Authors:  T Jenkins; L V Coutts; D G Dunlop; R O C Oreffo; C Cooper; N C Harvey; P J Thurner
Journal:  J Mech Behav Biomed Mater       Date:  2014-10-24

10.  Microdamage caused by fatigue loading in human cancellous bone: relationship to reductions in bone biomechanical performance.

Authors:  Floor M Lambers; Amanda R Bouman; Clare M Rimnac; Christopher J Hernandez
Journal:  PLoS One       Date:  2013-12-30       Impact factor: 3.240

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  1 in total

1.  Factors associated with trabecular bone score in postmenopausal women with type 2 diabetes and normal bone mineral density.

Authors:  Olga N Fazullina; Anton I Korbut; Vadim V Klimontov
Journal:  World J Diabetes       Date:  2022-07-15
  1 in total

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