Improving DXA Quality by Avoiding Common Technical and Diagnostic Pitfalls: Part 1

被引:1
|
作者
Banks, Kevin P. [1 ,2 ]
Farrell, Mary Beth [3 ]
Gunther, Rutger S. [1 ]
Mcwhorter, Nathan E. [1 ,2 ]
Byerly, Doug W. [1 ,2 ]
Peacock, Justin G. [1 ,2 ]
机构
[1] Brooke Army Med Ctr, Dept Radiol, San Antonio, TX USA
[2] Uniformed Serv Univ Hlth Sci, Dept Radiol, Bethesda, MD USA
[3] Intersocietal Accreditat Commiss, Ellicott City, MD 21043 USA
关键词
dual-energy x-ray absorptiometry; DXA; DEXA; bone mineral density; osteoporosis; osteopenia; X-RAY ABSORPTIOMETRY; BONE; OSTEOPOROSIS;
D O I
10.2967/jnmt.122.264885
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Dual-energy x-ray absorptiometry (DXA) is an accurate means to assess bone mineral density, determine the risk of a fragility fracture, and monitor response to therapy. Despite its seemingly straightforward nature-the review of 2-to-3 nondiagnostic images and a few automatically generated numbers-the proper perfor-mance and interpretation of DXA can often be complex. It is com-plex because it is highly dependent on many factors, such as image acquisition, processing, analysis, and subsequent examina-tion interpretation. Each step is subject to potential errors, artifacts, and diagnostic pitfalls; hence, meticulous attention must be paid to the technique by both the technologist and the interpreting physi-cian to provide high-quality results and, in turn, maximize the examination's clinical utility. This article is part 1 of a 2-part series. Part 1 will begin with a review of bone physiology and osteoporosis etiology, followed by a discussion of the principles underlying DXA and the technical procedure. Part 2 will focus on DXA interpretation and discuss scanning pitfalls and clues to recognizing issues and improving scan quality.
引用
收藏
页码:167 / 175
页数:9
相关论文
共 26 条
  • [1] Pitfalls in liver MRI: Technical approach to avoiding misdiagnosis and improving image quality
    Yacoub, Joseph H.
    Elsayes, Khaled M.
    Fowler, Kathryn J.
    Hecht, Elizabeth M.
    Mitchell, Donald G.
    Santillan, Cynthia
    Szklaruk, Janio
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 49 (01) : 41 - 58
  • [2] Statistics for the hand surgeon. Part 2: avoiding common pitfalls
    Harvey, Mary Rose
    Rodrigues, Jeremy
    Lane, Jennifer C. E.
    Wade, Ryckie George
    Broekstra, Dieuwke C.
    Harrison, Conrad
    JOURNAL OF HAND SURGERY-EUROPEAN VOLUME, 2023, 48 (11) : 1237 - 1243
  • [3] Avoiding pitfalls in chronic disease quality measurement: A case for the next generation of technical quality measures
    Kerr, EA
    Krein, SL
    Vijan, S
    Hofer, TP
    Hayward, RA
    AMERICAN JOURNAL OF MANAGED CARE, 2001, 7 (11): : 1033 - 1043
  • [4] Learning From Experience: Avoiding Common Pitfalls in Multicenter Quality Improvement Collaboratives
    Thackeray, Jonathan D.
    Baker, Carrie A.
    Berger, Rachel P.
    PEDIATRIC QUALITY & SAFETY, 2019, 4 (05)
  • [5] A Case of Herpes Simplex Virus Meningitis in an Immunocompromised Individual: Avoiding Common Diagnostic Pitfalls
    Silwal, Swechchha
    Hassan, Esraa
    Jain, Shikha
    Rauf, Ibtisam
    Obulareddy, Sri J.
    Suleman, Sara
    Yousuf, Faraaz A.
    Urena, Eric O. Gomez
    Campioli, Cristina Corsini
    Jain, Nitesh K.
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (07)
  • [6] Avoiding pitfalls in diagnostic immunohistochemistry-important technical aspects that every pathologist should know
    Miller, Rodney T.
    SEMINARS IN DIAGNOSTIC PATHOLOGY, 2019, 36 (05) : 312 - 335
  • [7] Avoiding Pitfalls: What an Endoscopist Should Know in Liver Transplantation—Part 1
    Sharad Sharma
    Ahmet Gurakar
    Nicolas Jabbour
    Digestive Diseases and Sciences, 2008, 53 : 1757 - 1773
  • [8] Avoiding pitfalls: What an endoscopist should know in liver transplantation - Part 1
    Sharma, Sharad
    Gurakar, Ahmet
    Jabbour, Nicolas
    DIGESTIVE DISEASES AND SCIENCES, 2008, 53 (07) : 1757 - 1773
  • [9] Using routine comparative data to assess the quality of health care: understanding and avoiding common pitfalls
    Powell, AE
    Davies, HTO
    Thomson, RG
    QUALITY & SAFETY IN HEALTH CARE, 2003, 12 (02): : 122 - 128
  • [10] Improving Data Quality and Avoiding Pitfalls of Online Text-Based Focus Groups: A Practical Guide
    Vicsek, Lilla
    QUALITATIVE REPORT, 2016, 21 (07) : 1232 - 1242