Literature DB >> 18478296

Tarsal and metatarsal bone mineral density measurement using volumetric quantitative computed tomography.

Paul K Commean1, Tao Ju, Lu Liu, David R Sinacore, Mary K Hastings, Michael J Mueller.   

Abstract

A new method for measuring bone mineral density (BMD) of the tarsal and metatarsals is described using volumetric quantitative computed tomography (VQCT) in subjects with diabetes mellitus and peripheral neuropathy. VQCT images of a single foot were acquired twice from eight subjects (mean age 51 [11 SD], seven males, one female). The cortical shells of the seven tarsal and five metatarsal bones were identified and semiautomatically segmented from adjacent bones. Volume and BMD of each bone were measured separately from the two acquired scans for each subject. Whole-bone semiautomatic segmentation measurement errors were determined as the root mean square coefficient of variation for the volume and BMD of 0.8% and 0.9%, respectively. In addition to the whole-bone segmentation methods, we performed atlas-based partitioning of subregions within the second metatarsal for all subjects, from which the volumes and BMDs were obtained for each subregion. The subregion measurement BMD errors (root mean square coefficient of variation) within the shaft, proximal end, and distal end were shown to vary by approximately 1% between the two scans of each subject. The new methods demonstrated large variations in BMDs between the 12 bones of the foot within a subject and between subjects, and between subregions within the second metatarsal. These methods can provide an important outcome measure for clinical research trials investigating the effects of interventions, aging, or disease progression on bone loss, or gain, in individual foot bones.

Entities:  

Mesh:

Year:  2008        PMID: 18478296      PMCID: PMC2745489          DOI: 10.1007/s10278-008-9118-z

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  29 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  An evaluation of dual-energy X-ray absorptiometry and comparison with dual-photon absorptiometry.

Authors:  B Lees; J C Stevenson
Journal:  Osteoporos Int       Date:  1992-05       Impact factor: 4.507

3.  Effect of footwear and orthotic devices on stress reduction and soft tissue strain of the neuropathic foot.

Authors:  Donovan J Lott; Mary K Hastings; Paul K Commean; Kirk E Smith; Michael J Mueller
Journal:  Clin Biomech (Bristol, Avon)       Date:  2006-12-19       Impact factor: 2.063

4.  Reliability of a diabetic foot evaluation.

Authors:  J E Diamond; M J Mueller; A Delitto; D R Sinacore
Journal:  Phys Ther       Date:  1989-10

Review 5.  Quantitative CT for determination of bone mineral density: a review.

Authors:  C E Cann
Journal:  Radiology       Date:  1988-02       Impact factor: 11.105

6.  Long-term reproducibility of quantitative computed tomography vertebral mineral measurements.

Authors:  V B Graves; R Wimmer
Journal:  J Comput Tomogr       Date:  1985-01

7.  Quantitative computed tomography for spinal density measurement. Factors affecting precision.

Authors:  D I Rosenthal; M A Ganott; G Wyshak; D M Slovik; S H Doppelt; R M Neer
Journal:  Invest Radiol       Date:  1985 May-Jun       Impact factor: 6.016

8.  Long-term follow-up in diabetic Charcot feet with spontaneous onset.

Authors:  J Fabrin; K Larsen; P E Holstein
Journal:  Diabetes Care       Date:  2000-06       Impact factor: 19.112

Review 9.  Brain segmentation and white matter lesion detection in MR images.

Authors:  A P Zijdenbos; B M Dawant
Journal:  Crit Rev Biomed Eng       Date:  1994

10.  Lisfranc injury of the foot: a commonly missed diagnosis.

Authors:  K E Burroughs; C D Reimer; K B Fields
Journal:  Am Fam Physician       Date:  1998-07       Impact factor: 3.292

View more
  20 in total

1.  Bone mineral density of the tarsals and metatarsals with reloading.

Authors:  Mary Kent Hastings; Judy Gelber; Paul K Commean; Fred Prior; David R Sinacore
Journal:  Phys Ther       Date:  2008-04-03

2.  Inflammatory osteolysis in diabetic neuropathic (charcot) arthropathies of the foot.

Authors:  David R Sinacore; Mary K Hastings; Kathryn L Bohnert; Faye A Fielder; Dennis T Villareal; Vilray P Blair; Jeffrey E Johnson
Journal:  Phys Ther       Date:  2008-09-18

3.  Semi-automatic micro-CT segmentation of the midfoot using calibrated thresholds.

Authors:  Melissa R Requist; Yantarat Sripanich; Andrew C Peterson; Tim Rolvien; Alexej Barg; Amy L Lenz
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-02-19       Impact factor: 2.924

4.  A Candidate Imaging Marker for Early Detection of Charcot Neuroarthropathy.

Authors:  Paul K Commean; Kirk E Smith; Charles F Hildebolt; Kathryn L Bohnert; David R Sinacore; Fred W Prior
Journal:  J Clin Densitom       Date:  2017-06-28       Impact factor: 2.617

5.  Volumetric quantitative computed tomography measurement precision for volumes and densities of tarsal and metatarsal bones.

Authors:  Paul K Commean; Jared A Kennedy; Karen A Bahow; Charles F Hildebolt; Lu Liu; Kirk E Smith; Mary K Hastings; Tao Ju; Fred W Prior; David R Sinacore
Journal:  J Clin Densitom       Date:  2011-07-01       Impact factor: 2.617

6.  Automated, foot-bone registration using subdivision-embedded atlases for spatial mapping of bone mineral density.

Authors:  Lu Liu; Paul K Commean; Charles Hildebolt; Dave Sinacore; Fred Prior; James P Carson; Ioannis Kakadiaris; Tao Ju
Journal:  J Digit Imaging       Date:  2013-06       Impact factor: 4.056

7.  Subdivision meshes for organizing spatial biomedical data.

Authors:  Tao Ju; James Carson; Lu Liu; Joe Warren; Musodiq Bello; Ioannis Kakadiaris
Journal:  Methods       Date:  2009-08-05       Impact factor: 3.608

8.  Pedal bone density, strength, orientation, and plantar loads preceding incipient metatarsal fracture after charcot neuroarthropathy: 2 case reports.

Authors:  David J Gutekunst; David R Sinacore
Journal:  J Orthop Sports Phys Ther       Date:  2013-09-09       Impact factor: 4.751

9.  Automated pipeline for atlas-based annotation of gene expression patterns: application to postnatal day 7 mouse brain.

Authors:  James Carson; Tao Ju; Musodiq Bello; Christina Thaller; Joe Warren; Ioannis A Kakadiaris; Wah Chiu; Gregor Eichele
Journal:  Methods       Date:  2009-08-19       Impact factor: 3.608

10.  Predicting ex vivo failure loads in human metatarsals using bone strength indices derived from volumetric quantitative computed tomography.

Authors:  David J Gutekunst; Tarpit K Patel; Kirk E Smith; Paul K Commean; Matthew J Silva; David R Sinacore
Journal:  J Biomech       Date:  2012-12-06       Impact factor: 2.712

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.