Prediction of Femoral Neck Strength in Patients with Diabetes Mellitus with Trabecular Bone Analysis and Tomosynthesis Images-Reference-Cited by-同舟云学术

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

Published:2016-12 Issue:3 Volume:281 Page:933-939
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Fujii Masami,Aoki Takatoshi,Okada Yosuke,Mori Hiroko,Kinoshita Shunsuke,Hayashida Yoshiko,Hajime Maiko,Tanaka Kenichi,Tanaka Yoshiya,Korogi Yukunori

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2016151657

Reference30 articles.

1. The effect of modelling and remodelling on human vertebral body architecture

2. Diagnosis of osteoporosis and assessment of fracture risk

3. Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study

4. Association of BMD and FRAX Score With Risk of Fracture in Older Adults With Type 2 Diabetes

5. Predictive Value of BMD for Hip and Other Fractures

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1. Microvascular permeability and texture analysis of bone marrow in diabetic rabbits with critical limb ischemia based on dynamic contrast‐enhanced magnetic resonance imaging;Journal of Diabetes Investigation;2024-01-19

2. Performance evaluation of fuzzy genetic, fuzzy particle swarm and similar insects’ optimization algorithms on denoising problem based on novel combined filter for digital X-ray and CT images in Pelvic Region;Multimedia Tools and Applications;2023-07-13

3. Comparison of diagnostic accuracy of 2D and 3D measurements to determine opportunistic screening of osteoporosis using the proximal femur on abdomen-pelvic CT;PLOS ONE;2022-01-04

4. Comparison of HU histogram analysis and BMD for proximal femoral fragility fracture assessment: a retrospective single-center case–control study;European Radiology;2021-10-13

5. Prediction of femoral osteoporosis using machine-learning analysis with radiomics features and abdomen-pelvic CT: A retrospective single center preliminary study;PLOS ONE;2021-03-04

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