Literature DB >> 27308958

Prediction of Femoral Neck Strength in Patients with Diabetes Mellitus with Trabecular Bone Analysis and Tomosynthesis Images.

Masami Fujii1, Takatoshi Aoki1, Yosuke Okada1, Hiroko Mori1, Shunsuke Kinoshita1, Yoshiko Hayashida1, Maiko Hajime1, Kenichi Tanaka1, Yoshiya Tanaka1, Yukunori Korogi1.   

Abstract

Purpose To determine trabecular bone analysis values by using tomosynthesis images in determining femoral neck strength in patients with diabetes mellitus and compare its parameters between vertebral compression fracture and nonfracture groups. Materials and Methods The institutional review board approved this study, and written informed consent was obtained from all patients. Forty-nine patients with diabetes mellitus were included. Within 1 week, patients underwent dual x-ray absorptiometry (DXA), tomosynthesis, and computed tomography (CT) covering the T10 vertebral body to the hip joints. The trabecular patterns of tomosynthesis images were extracted, and the total strut length, bone volume per tissue volume, and five textural features (homogeneity, entropy, correlation, contrast, and variance) were obtained as the indices of tomosynthesis images. Failure load of the femoral neck, which was determined with the CT-based finite-element method (FEM), was used as the reference standard for bone strength. A forward stepwise multiple regression analysis for evaluating the availability of the tomosynthesis image indices was performed. The bone mineral density (BMD) at DXA and tomosynthesis image indices were compared between the vertebral compression fracture (n = 16) and nonfracture groups (n = 33) according to Genant semiquantitative morphometry methods by using one-way analysis of variance. Results The combination of BMD with the bone volume per tissue volume at the principal tensile group and the correlation at the principal compressive group showed the highest correlation to the failure load at CT FEM, and the correlation (r2 = 0.83) was higher than that between the failure load and the BMD alone (r2 = 0.76; P < .001). The averages of the bone volume per tissue volume and entropy at the principal tensile group in the vertebral compression fracture group were lower than those in the nonfracture group (P = .017 and P = .029, respectively), but there was no difference in BMD. Conclusion Tomosynthesis-based trabecular bone analysis is technically feasible and, in combination with BMD measurements, can potentially be used to determine bone strength in patients with diabetes mellitus. © RSNA, 2016 Online supplemental material is available for this article.

Entities:  

Mesh:

Year:  2016        PMID: 27308958     DOI: 10.1148/radiol.2016151657

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

1.  Comparison of the diagnostic performance of CT Hounsfield unit histogram analysis and dual-energy X-ray absorptiometry in predicting osteoporosis of the femur.

Authors:  Hyun Kyung Lim; Hong Il Ha; Sun-Young Park; Kwanseop Lee
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

2.  Assessment of vertebral wedge strength using cancellous textural properties derived from digital tomosynthesis and density properties from dual energy X-ray absorptiometry and high resolution computed tomography.

Authors:  Yener N Yeni; Woong Kim; Daniel Oravec; Mary Nixon; George W Divine; Michael J Flynn
Journal:  J Biomech       Date:  2018-08-22       Impact factor: 2.712

3.  Comparison of HU histogram analysis and BMD for proximal femoral fragility fracture assessment: a retrospective single-center case-control study.

Authors:  Sun-Young Park; Hong Il Ha; Injae Lee; Hyun Kyung Lim
Journal:  Eur Radiol       Date:  2021-10-13       Impact factor: 7.034

4.  The added value of tomosynthesis in endoscopic retrograde cholangiography with radiography for the detection of choledocholithiasis.

Authors:  Yohsuke Suyama; Yoshitake Yamada; Hideki Yamaguchi; Gou Someya; Seiji Otsuka; Yoshitami Murayama; Hiroshi Shinmoto; Masahiro Jinzaki; Kenji Ogawa
Journal:  Br J Radiol       Date:  2018-04-16       Impact factor: 3.039

5.  Digital tomosynthesis based digital volume correlation: A clinically viable noninvasive method for direct measurement of intravertebral displacements using images of the human spine under physiological load.

Authors:  Daniel Oravec; Michael J Flynn; Roger Zauel; Sudhaker Rao; Yener N Yeni
Journal:  Med Phys       Date:  2019-08-31       Impact factor: 4.071

6.  Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study.

Authors:  Hyun Kyung Lim; Hong Il Ha; Sun-Young Park; Junhee Han
Journal:  PLoS One       Date:  2021-03-04       Impact factor: 3.240

7.  Comparison of diagnostic accuracy of 2D and 3D measurements to determine opportunistic screening of osteoporosis using the proximal femur on abdomen-pelvic CT.

Authors:  Sun-Young Park; Hong Il Ha; Sang Min Lee; In Jae Lee; Hyun Kyung Lim
Journal:  PLoS One       Date:  2022-01-04       Impact factor: 3.240

8.  Effects of Hip Structure Analysis Variables on Hip Fracture: A Propensity Score Matching Study.

Authors:  Yong-Chan Ha; Jun-Il Yoo; Jeongkyun Yoo; Ki Soo Park
Journal:  J Clin Med       Date:  2019-09-20       Impact factor: 4.241

9.  Reliability of 3D image analysis and influence of contrast medium administration on measurement of Hounsfield unit values of the proximal femur.

Authors:  Hye-Won Lee; Hong Il Ha; Sun-Young Park; Hyun Kyung Lim
Journal:  PLoS One       Date:  2020-10-21       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.