Literature DB >> 23776890

Dual energy X-ray absorptiometry: Pitfalls in measurement and interpretation of bone mineral density.

M K Garg1, Sandeep Kharb.   

Abstract

Osteoporosis is common disorder of elderly population all over the world as well as in India. The presence of osteoporosis predicts fracture risk. Fragility fracture has marked morbidity as well as mortality. Thus, osteoporosis has marked therapeutic and economic implications. Osteoporosis is defined by low bone mineral density (BMD). The gold-standard method to assess BMD is dual X-ray absorptiometry (DXA). In India, hologic and lunar machines are most commonly used to measure BMD; these machines have their own normative data from which patients BMD is compared and results are generated. As per recommendations, all postmenopausal women and men above 70 years need BMD estimation other than quite a few other specific indications as well. With increasing life expectancy, increased awareness of osteoporosis, and availability of DXA machines, there is flooding of requests for BMD estimation. In view of all this, it becomes imperative on part of physicians, orthopedicians, rheumatologists, and endocrinologists alike to be fully aware about pitfalls in BMD assessment by DXA and interpretation of BMD reports.

Entities:  

Keywords:  Bone mineral density; dual energy x-ray absorptiometry; osteopenia; osteoporosis

Year:  2013        PMID: 23776890      PMCID: PMC3683192          DOI: 10.4103/2230-8210.109659

Source DB:  PubMed          Journal:  Indian J Endocrinol Metab        ISSN: 2230-9500


INTRODUCTION

Osteoporosis as a term was defined for the first time by Fuller Albright in 1950s as too little bone.[1] NIH in 1988 defined osteoporosis as a skeletal disorder characterized by compromised bone strength predisposing a person to an increased risk of fracture. Bone strength primarily reflects the integration of bone density and bone quality.[2] NIH later updated its definition of osteoporosis in 2001 as a systemic skeletal disease characterized by low bone mass and microarchitectural deterioration of bone tissue leading to enhanced bone fragility and consequent increase in fracture risk.[3] Although this definition covers all components of osteoporosis, estimation of bone mineral mass and microarchitectural structure has been a difficult preposition. In view of these difficulties, world health organization (WHO) in 1994 gave operational definition of osteoporosis as follows: Normal: Bone mineral density (BMD) higher than 1 SD below the young adult mean; Osteopenia, or low bone mass: BMD between 1 and 2.5 SD below the young adult mean; Osteoporosis: BMD lower than and equal to 2.5 SD below the young adult mean and Established (or severe) osteoporosis: BMD lower than 2.5 SD below the young adult mean and the presence of one or more fragility fractures.[4] There are different techniques to assess BMD. Densitometric techniques have evolved over last century from initial use of dental radiographs of mandible by dentists to quantitative morphometry using plain radiographs, ultrasonography-based methods, dual energy absorptiometry, and finally CT scan-based modalities like peripheral quantitative computed tomography (QCT) and high resolution QCT.[56] Peripheral X-ray absorptiometry (DXA) systems, which are portable and less expensive can be used for screening and as risk assessment tools, but cannot be used for diagnosis, treatment, and follow-up.[7] Osteoporosis is a disease predominantly affecting elderly population with significant morbidity and mortality. In Asia, the percentage of elderly population above 65 years of age is likely to increase from 5.3% in 1995 to 9.3% in 2025, implying increased number of people exposed to osteoporosis and increased prevalence of osteoporosis. Thus, osteoporosis presently has attained epidemic proportions because of increased life expectancy and other life style factors.[8] Osteoporosis represents a major public health problem because of its association with low-energy trauma or fragility fractures. It has been estimated that 1 of 3 women more than 50 years of age is affected with osteoporosis.[9] One of 5 men more than 50 years of age is affected with osteoporosis and by 60 years of age in USA 50% of women are osteoporotic.[10] In India, expert groups peg the number of osteoporosis patients at approximately 26 million (2003 figures), with the numbers projected to increase to 36 million by 2013.[11] The gold-standard technique for estimation of BMD is the DXA technique because of their reproducibility, large normative data, non-invasive nature, little time requirement for procedure, and minimal radiation exposure.[12] Presently, in India DXA machines, manufactured by Hologic and Lunar, are available to assess BMD. Hologic machine uses fan beam technology while Lunar machine uses a pencil beam technique for assessment of BMD. With availability of DXA machines and increasing awareness about bone health, BMD measurement has become common in larger cities.[8] In coming time, primary care physician will often see BMD reports, which they will have to interpret and take decision on treatment. Most often than not, whenever a primary care physician is given a BMD report he looks at final conclusion which is computer generated and makes decision accordingly. This may be misleading and a wrong interpretation of report can cause inappropriate treatment. Hence, it is essential for every primary care physician to be aware of pitfalls in interpretation of BMD report.

PITFALLS IN INDICATION

First question should be asked as to why BMD was done? Indications for BMD are given in Table 1. However, in India we will find BMD done for other than indications on the behest of patient's request or inappropriate physician's advice. Osteoporosis is defined particularly with population-based fracture studies in postmenopausal women above the age of 50 years. Suppose when it is done in menstruating women below the age of 50 years, interpretation becomes difficult. An average age of menopause in Indian women is 46 years[13] which is earlier by 3 and 5 years from other Asian[14] and Caucasian women.[15] With this in mind should we advise Indian women to undergo BMD 5 years earlier than recommended by National Osteoporosis Foundation[16] or International Society of Clinical Densitometry?[17] Also peak BMD in Indian women is reported less than Caucasian counterpart.[18] This will also cause early onset of osteoporosis with accelerated bone less with onset of menopause. This is further supported by recent data in healthy Indian population, where 25% of males and 42% of female above the age of 50 years was found to be osteoporotic.[9] There is requirement of studies evaluating relation between fracture risk BMD data in our population to form cut off criteria for BMD.
Table 1

Indications and contraindications to bone mineral density measurement

Indications and contraindications to bone mineral density measurement

PITFALLS IN MEASUREMENTS OF BONE MINERAL DENSITY

Next we look at the X-ray photo given in the report. In this we must be aware of positioning and anatomical variation in population, which can lead to erroneous report.

At L1-L4

A. Positioning: In BMD assessment at L1–L4 level, first requirement is correct positioning of patient. The spinous process should be centered in straight midline and should include part of the sacrum (ilium) and part of a vertebra with ribs (usually T12) [Figure 1a]. Rotation of spine [Figure 1b] leads to low estimation of BMD. Vertebral area increases with increasing rotation up to 50°-60° in either direction from midline. Although BMC almost remains neutral, but BMD is assessed as BMC per area so it leads to falsely low BMD assessment. From neutral to 60°, the decrease in BMD is almost 20%.[19] In patients with scoliosis, measurement of BMD becomes invalid because pateint can not be positioned straight.
Figure 1

Correct position (Right panel) and anatomy of vertebral column and left femur, and incorrect position (Left Panel) and anatomy of vertebral column (not centered as spinous process are rotated) and left femur (inadequate rotation as lesser trochanter not visible)

Correct position (Right panel) and anatomy of vertebral column and left femur, and incorrect position (Left Panel) and anatomy of vertebral column (not centered as spinous process are rotated) and left femur (inadequate rotation as lesser trochanter not visible) B. Anatomical variation: During evaluation of BMD, sometimes there can be 6 lumbar vertebrae or floating 12th rib which can lead to wrong numbering of vertebra by software of the machines [Figure 2a]. Hence, vertebrae should be counted from sacrum or vertebrae can be identified by morphology. L1 is U shaped, L2 is V shaped, L3 is Y shaped and L4 is H-shaped and L5 appears as a capital I lying on its side. Also, on lateral view 12th rib overlaps L1 and pelvis overlaps L4, which can help in identifying lumbar vertebrae in case of confusion.[20]
Figure 2

Anatomical variation and artifact: (a) Six lumbar vertebrae, (b) Compression fracture visible of lateral film, (c) Hip prosthesis

Anatomical variation and artifact: (a) Six lumbar vertebrae, (b) Compression fracture visible of lateral film, (c) Hip prosthesis Among lumbar vertebrae, L1 has lowest BMD which increases from L1 to L4.[20] One study has shown that 17% of skeletons examined had an abnormal pattern of vertebral segmentation and rib placement other than 5 lumbar vertebrae and lowest ribs on T12.[21] In the case of the absence of 12th rib vertebrae, T12 will be mislabeled as L1 leads to lowering of BMD at L1 and BMC averages from L1 to L4 will also be lowered.[20] Vice-versa, in the presence of six lumbar vertebrae; L2 can be labeled as L1 if counted from below, overestimating BMD. C. Normal progression: In assessing BMD at L1–L4, take average of all four vertebra if possible and do not infer any conclusion if BMD is low only in one vertebra [Figure 3]. In the case of sudden change in BMD from one to next vertebra, look for the presence of fracture or any other artifact like osteosclerosis, aortic calcification [Figure 4], etc., If one or two vertebrae are affected, they should be excluded from final interpretation [Figure 5]. In Figure 5, report suggests osteopenia, but after exclusion of vertebra with old fracture corrected report revealed osteoporosis leading to different therapeutic outcome and implications for patient. If more than three vertebrae are affected and only one vertebra is available, then it is better to ignore BMD report at lumbar spine and decision should be based on BMD at femoral neck.
Figure 3

Bone mineral density measured and reported on one vertebra

Figure 4

Aortic calcification – leading to an increase in bone mineral density at L2 (also observe the difference of more than 1 SD between L1 and L2)

Figure 5

Fracture of L3 vertebra causing erroneously high bone mineral density (BMD) (osteopenia), but after exclusion BMD report shows osteoporosis

Bone mineral density measured and reported on one vertebra Aortic calcification – leading to an increase in bone mineral density at L2 (also observe the difference of more than 1 SD between L1 and L2) Fracture of L3 vertebra causing erroneously high bone mineral density (BMD) (osteopenia), but after exclusion BMD report shows osteoporosis D. Artifacts: While assessing BMD at lumbar spine in antero-posterior view, one must look for artifacts. Artifacts can be metallic objects like surgical clips, navel rings, barium sulfate, metal from zipper, coin, clip, or other object. In the case of artifacts like osteoarthritis, fracture [Figure 2b], end plate sclerosis, calcified aorta, radio-opaque material (e.g. thorotrast) correction should be made by removal of artifacts, or exclusion of vertebra. Osteoporotic fractures commonly occurs in the T7–T9 and T12–L2 regions.[22] Osteophytes can also lead to overestimation of BMD. The magnitude of increase in BMD due to osteophytes vary from 9.5% at L4 to 13.9% at L1.[23] In one study, the effect of osteophytes on BMD was sufficient enough to cause 50% of men and 25% of women with osteopenia to be misdiagnosed and 20% of men and 10% of women with osteoporosis were misdiagnosed because of osteophytes.[24] Thus, the effect of osteophytes can be dramatic. Aortic calcification is believed to be common in elderly, i.e., up to 30%.[23] However, the effect of aortic calcification on BMD is believed to be insignificant. In a recent ex vivo study of cadavers, removal of aorta leads to an average decrease in BMD by 5%.[25] Facet sclerosis can also significantly affect BMD.[26] Other possible artifacts which have been reported include pancreatic calcifications, renal stones, gall stones, contrast agents, ingested tablets. Some objects like tantalium clips used in vascular surgery, lead bullets have very high density and appear as black hole on DXA in place of white.[27] These lead to increased BMD estimation.

At proximal femur

A. Positioning: In BMD assessment at femoral neck, lesser trochanter should be just visible [Figure 1c]. The absence [Figure 1d] or overvisualization of lesser trochanter lead to falsely high BMD values. In positioning of femur internal rotation of femur by 15-20% is required which brings femoral neck axis parallel to plane of scan table. In one cadaveric study, the mean increase in BMD at femur neck was 2.8% in the anteverted position as compared to the neutral position.[28] Hip analysis includes one midline, which should be centered for correct analysis and division of regions. BMD at femoral neck if highest at proximal and lowest at distal part. Femoral neck box is placed differently in GE lunar and Hologic machines, hence may give different results. In GE Lunar, it is placed at narrowest part, which is half way between the femoral head and the trochanter, whereas in Hologic, it is placed at the most distal part of the femoral neck. B. Artifacts: Structural changes and artifacts interfering with DXA at proximal femur are less often as compared to spine. Osteoarthritic changes at hip joint may cause increased BMD assessment in femoral neck and Ward's area. However, the trochantric region is not affected by osteoarthritis and thus is the preferred site to evaluate patients in patients with osteoarthritis of hip.[29] Scoliosis however has been seen to cause lower bone densities on the side of convexity.[30] Proximal femur fracture and implants render BMD assessment inaccurate at the femur site [Figure 2c]. If femur cannot be rotated due to arthritis or pain, BMD should not be done on that side and other side femur can be used because generally there is no effect of leg dominance on BMD estimation.[31] C. Ward's area: Another important thing to be remembered is regarding Ward's area. Ward's area was originally called Ward's triangle, which is formed by intersection of three trabecular bundles running from greater trochanter to head and lesser trochanter to head and one bundle joining greater and lesser trochanter. Ward's area should not be used for interpretation of BMD.[32]

Forearm in densitometry

BMD assessment at forearm is quite variable in the sense that different sites are used to assess BMD. Commonly measured sites are 33% or one third site, the 50% or 10% sites, the 5 and 8 mm sites and ultradistal sites. Sites mentioned in percentage are based on location of site in relation to overall length of the ulna. So 50% site on radius means site on the radius which is directly across from the site on ulna that marks 50% on ulnar length, not 50% of radial length. 5 or 8 mm site are the location where separation between radius and ulna is 5 or 8 mm, respectively. 33% and 50% sites are considered mid radial sites, while 10% site is considered as distal site. The ultradistal site is usually centered at 5% of ulnar length. Significance of these sites is such that they reflect percentage of cortical bone at these sites. The ultradistal site has around 66% of trabecular bone.[28] Authors preferably use 33% site to assess forearm BMD at their center if forearm DXA is required to assess cortical bone BMD. Unlike proximal femur, arm dominance has a profound effect on BMD at forearm. In healthy individual, BMC at 33% radial site differs by 6-9% between dominant and non-dominant arm.[33] Difference of 3% is reported at 8 mm site.[34] Traditionally, non-dominant arm is used to assess BMD and most data is also from non-dominant arm, thus it is advisable to assess BMD of non-dominant forearm. Forearm site is relatively free of artifacts and confounding factors which are seen in lumbar spine. Prior fracture of forearm leads to an increase in BMC by 20% at distal radius as compared to non-fractured forearm irrespective of dominant or non-dominant forearm.[35] Also, movement artifacts are quite common in forearm BMD as up to 20% of scans in the oldest study group. Movement leads to underestimation of BMD.[36]

PITFALLS IN INTERPRETATION OF BMD DATA

In the BMD report you will see BMC; BM area and BMD value; T-score; and Z-score. In this, BMD is the measured parameter and allows the calculation of the bone mineral content (BMC) in grams with the help of two-dimensional projected area in cm2 of the bone (s) and BMD; thus, the units of BMD are g/cm2. The T-score is calculated using the formula: (patient's BMD – young normal mean)/SD of young, normal, healthy Caucasian female. Z-score is calculated similarly to the T-score, except that the patient's BMD is compared with an age-matched (and race- and gender-matched) mean, and the result expressed as a SD score.[37] Numerical assessment is also quite important in BMD estimation and in the case of atypical results, one should review image and take history and correct for that defect. At L1–L4, normally BMD should increase from L1 to L4 and variation of T score by more than 1 SD should raise suspicion of some anatomical variation or artifact.[20] In premenopausal women, a low Z-score (below –2.0) indicates that bone density is lower than expected and should trigger a search for an underlying cause [Table 2].
Table 2

Causes of secondary osteoporosis

Variation in BMD according to ethnicity: The prevalence of osteoporosis among older population (>50 years of age) varies widely in different races and ethnicity. Indian population is placed at higher risk of osteoporosis.[9] Among different populations, the prevalence of osteoporosis is as follows: US Caucasian (Women – 18%; Men – 6%); Europe (Denmark – 41% women; 18% men; Sweden – 21% women; men – 6%); Taiwan (11.4% women and 1.6% men); and India (42.5% women and 24.8% men) have osteoporosis.[9] Importance of population-based normative data on peak BMD—GE Lunar and recent Hologic machines use the database for young-normal Caucasians to calculate T-scores, regardless of the race of the subject. Indian population is mixture of various racial denominations. Recently, few studies have assessed the peak BMD in normal healthy Indian males and females and have shown it to be significantly lower than values reported in white Caucasian populations.[38] For example, the peak BMD at femoral neck in females ranged from 0.850 ± 0.101 g/cm2 to 0.967 ± 0.107 g/cm2 depending on the model and manufacturer of the DXA machine used, which is significantly lower than that reported in US and European populations.[394041] A population-bases ICMR study reported peak mean BMD values in women were 0.901 ± 0.111, 0.538 ± 0.044, and 0.954 ± 0.095 at the hip, forearm, and spine. The ICMR study has proposed the cut-off values for diagnosing osteoporosis in women as 0.624, 0.428, and 0.717 gm/cm2 compared to 0.637, 0.539 and 0.774 at hip, forearm and spine respectively from reference data for Hologic machines.[41] This could be attributed to differences in frame size, height, vertebral size, hip width and BMI, and nutritional and genetic factors.[9] This data have not been validated against fracture risk in the population. And this normative data did not find place in available machines. Hence, comparing normal Indian population BMD with peak value of Caucasian population may lead to overestimation of osteoporosis. The prevalence of osteoporosis significantly decreases when Indian reference data is applied.[9] Hence, applying peak BMD data of Caucasians to define cutoffs for osteoporosis and osteopenia in Indian population remains an issue for debate. Which skeletal site to use for diagnosis? If possible measure BMD at both lumbar spine and proximal femur. At lumbar spine, reported BMD is an average of BMD from L1 to L4. Accept BMD from either of femur neck or total femur, whichever is lower.[42] Final reporting of BMD is based on lowest T/Z score among average L1–L4 and proximal femur.[42] In the case of doubt review image quality and accuracy of scan acquisition and analysis. The lateral spine and Ward's triangle region of the hip should not be used for diagnosis, because these sites overestimate osteoporosis and results can be false positive. Radial BMD (33% site or 1/3rd radial site in non-dominant arm) can be used for estimation of osteoporosis only when BMD cannot be measured at lumbar vertebrae or femur or in very obese pateints, in patients of hyperparathyroidismand males receiving androgen deprivation therapy.[32] Also, radial BMD can be used for population screening in view of its high negative predictitvity. Causes of secondary osteoporosis

BMD estimation in pediatric population

Before interpreting pediatric DXA scan, a physician should be clear that diagnosis of osteoporosis can not be reached on the basis of BMD alone because till now there is paucity of data which corelates BMD scores with fracture risk, also BMD estimation is affected by bone area which is variable in children.[43] Diagnosis of osteopororsis in children requires the presence of clinically significant fracture history and low BMD or low bone mass (Z score <−2.0). Clinically significant fracture history is defined as one or more of the following: Long bone fracture of lower exterimities, vertebral compression fracture, or two or more fractures of long bone of upper extremities.[44]

PITFALLS IN FOLLOW-UP

For follow-up of patients who are on antiosteoporosis therapy, repeat BMD can be done after 1 to 2 years of therapy as per different guidelines, while patients for whom BMD was done and it does not fulfill the criteria for treatment, repeat BMD can be planned depending on T-score of patient. As per one recent study, interval period of screening may be 15 years for women with normal bone density or mild osteopenia (T score, greater than −1.50) at the initial assessment, 5 years for women with moderate osteopenia (T score, −1.50 to −1.99), and 1 year for women with advanced osteopenia (T score, −2.00 to −2.49).[45] Authors also propose that interval of BMD can be predicted on the basis of original bone mineral content and rate of decline in bone mineral content in post menopausal (1-2% in perimenopausal age for 10 years and 0.5-1% thereafter and same in elderly males). For example, if a postmenopausal woman has BMD value of 0.900 gm/cm2 at lumbar spine. For Hologic machines, reference peak BMD at spine is 1.047 ± 0.110 gm/cm2. BMD at −2.5 SD will be 0.774 gm/cm2. If we take maximum possible loss of BMD at 2%, then it will take at least 7 years (0.900-0.774/0.018) to develop osteoporosis. Hence, BMD can be repeated safely after 7 years. Finally, repeat BMD should be performed on the same machine and preferably by same technician as some variability occurs on repeat measurement. This variability is calculated by least significant change (LSC) for that machine and technician. LSC is calculated to determine if observed change is a true interval change as opposed to observer's variability. In order to be 95% sure that change is true interval change rather than observer variability, monitoring interval should be more than LSC. LSC is calculated by formula LSC = 2.8 × Precision error. Thus, finally monitoring time interval = expected gain in BMD/LSC.[37] Another important issue during follow up is use of different BMD machine for subsequent BMD assessment. In such a situation, it is advised to standardize BMD (sBMD) as per different machines. Conversion tables are available on internet and reader is referred to use them for conversion BMD from one machine to another.[46] sBMD at femoral neck is calculated by formula: sBMD = 1000 (a + b × BMD), where for Hologic machines a = 0.019 and b = 1.087 and for Lunar machines a = –0.023 and b = 0.939.[40] Similarly, for calculating sBMD at spine, the formula for Hologic is: 1.0550 (BMD – 0.972) +1.0436, and for Lunar is: 0.9683 (BMD – 1.100) +1.0436.[4748] In conclusion, correct interpretationof BMD requires attention to detail in anthropometric information, patient positioning, correct scan analysis (definition of ROI), BMD pattern of individual vertebrae, and identification of artefacts.
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1.  Bone health in healthy Indian population aged 50 years and above.

Authors:  R K Marwaha; N Tandon; M K Garg; R Kanwar; A Narang; A Sastry; A Saberwal; K Bhadra; A Mithal
Journal:  Osteoporos Int       Date:  2011-01-27       Impact factor: 4.507

2.  The effect of overlying calcification on lumbar bone densitometry.

Authors:  P J Drinka; A A DeSmet; S F Bauwens; A Rogot
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Review 3.  Advanced imaging assessment of bone quality.

Authors:  Harry K Genant; Yebin Jiang
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4.  Universal standardization of bone density measurements: a method with optimal properties for calibration among several instruments.

Authors:  S L Hui; S Gao; X H Zhou; C C Johnston; Y Lu; C C Glüer; S Grampp; H Genant
Journal:  J Bone Miner Res       Date:  1997-09       Impact factor: 6.741

5.  Bone mineral content of the forearm in a healthy population.

Authors:  P Karjalainen; E M Alhava
Journal:  Acta Radiol Ther Phys Biol       Date:  1977-04

Review 6.  Osteoporosis imaging: state of the art and advanced imaging.

Authors:  Thomas M Link
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

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Authors:  Foo-Hoe Loh; Lay-Wai Khin; Seang-Mei Saw; Jeannette J M Lee; Ken Gu
Journal:  Maturitas       Date:  2005-01-06       Impact factor: 4.342

8.  Earlier wrist fracture: a confounding factor in distal forearm bone screening.

Authors:  K Akesson; P Gärdsell; I Sernbo; O Johnell; K J Obrant
Journal:  Osteoporos Int       Date:  1992-07       Impact factor: 4.507

9.  Early age of natural menopause in India, a biological marker for early preventive health programs.

Authors:  M Singh
Journal:  Climacteric       Date:  2012-02-18       Impact factor: 3.005

10.  Correlation between vertebral body rotation and two-dimensional vertebral bone density measurement.

Authors:  F P Girardi; H K Parvataneni; H S Sandhu; F P Cammisa; H Grewal; R Schneider; J M Lane
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

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Authors:  Mohammed Kamran Shakeel; Mariappan Jonathan Daniel; Subramaniam Vasudevan Srinivasan; Ramadoss Koliyan; Jimsha Vannathan Kumar
Journal:  J Clin Diagn Res       Date:  2015-07-01

Review 2.  Screening and early diagnosis of osteoporosis through X-ray and ultrasound based techniques.

Authors:  Paola Pisani; Maria Daniela Renna; Francesco Conversano; Ernesto Casciaro; Maurizio Muratore; Eugenio Quarta; Marco Di Paola; Sergio Casciaro
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3.  Analysis of bone cement distribution around fenestrated pedicle screws in low bone quality lumbosacral vertebrae.

Authors:  Sergio Gómez González; Gerard Cabestany Bastida; Maria Daniela Vlad; José López López; Pablo Buenestado Caballero; Luis Alvarez-Galovich; Maria Rodríguez-Arguisjuela; Enrique Fernández Aguado
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4.  Bone mineral density and wounding capacity of handguns: implications for estimation of caliber.

Authors:  Anna Paschall; Ann H Ross
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5.  Lumbar Vertebrae Morphological Analysis and an Additional Approach for Vertebrae Identification in Lumbar Spine DXA Images.

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Journal:  J Clin Densitom       Date:  2018-09-15       Impact factor: 2.617

6.  Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

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Journal:  Comput Biol Med       Date:  2019-09-20       Impact factor: 4.589

Review 7.  Implications of the Fracture Risk Assessment Algorithm for the assessment and improvement of bone health in patients with prostate cancer: A comprehensive review.

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Review 10.  Osteoporosis: a discussion on the past 5 years.

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