Literature DB >> 34728487

DXA and clinical challenges of fracture risk assessment in primary care.

Susan Williams1, Leila Khan1, Angelo A Licata2.   

Abstract

Dual-energy x-ray absorptiometry (DXA) can detect bone mineral density loss before it can be identified on usual skeletal radiography, making it possible to diagnose osteoporosis in postmenopausal women and older men before clinical fractures arise. However, when DXA is used outside these populations or if the clinical picture does not match the reported T-scores, mistakes can arise in interpreting results and determining the need for pharmaceutical therapy.
Copyright © 2021 The Cleveland Clinic Foundation. All Rights Reserved.

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Year:  2021        PMID: 34728487     DOI: 10.3949/ccjm.88a.20199

Source DB:  PubMed          Journal:  Cleve Clin J Med        ISSN: 0891-1150            Impact factor:   2.321


  2 in total

1.  Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool.

Authors:  Perry J Pickhardt; Thang Nguyen; Alberto A Perez; Peter M Graffy; Samuel Jang; Ronald M Summers; John W Garrett
Journal:  Radiol Artif Intell       Date:  2022-08-31

2.  A Meaningful Journey to Predict Fractures with Deep Learning.

Authors:  Jeonghoon Ha
Journal:  Endocrinol Metab (Seoul)       Date:  2022-08-29
  2 in total

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