↓ Skip to main content

Osteoporosis, obesity, and sarcopenia on abdominal CT: a review of epidemiology, diagnostic criteria, and management strategies for the reporting radiologist

Overview of attention for article published in Abdominal Radiology, April 2017
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
82 Mendeley
Title
Osteoporosis, obesity, and sarcopenia on abdominal CT: a review of epidemiology, diagnostic criteria, and management strategies for the reporting radiologist
Published in
Abdominal Radiology, April 2017
DOI 10.1007/s00261-017-1124-5
Pubmed ID
Authors

Timothy É. Murray, David Williams, Michael J. Lee

Abstract

Abdominal computed tomography (CT) is a widely performed examination, with many indications. Assessment of bone, fat, and muscle on abdominal CT can be performed in a quantitative manner. Published studies have developed diagnostic cutoffs for osteoporosis, obesity, and sarcopenia, which are summarized with pictorial examples. The epidemiological and prognostic significance of these disease states are outlined. Further diagnostic steps and treatment strategies are outlined to inform both the managing clinician and reporting radiologist. This article summarizes an unglamorous yet information-rich field, which is ripe for assessment in the dawning era of personalized medicine, and one in which the radiologist is well placed to add value to patient care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Postgraduate 9 11%
Student > Bachelor 8 10%
Student > Doctoral Student 8 10%
Student > Ph. D. Student 8 10%
Other 18 22%
Unknown 19 23%
Readers by discipline Count As %
Medicine and Dentistry 36 44%
Nursing and Health Professions 4 5%
Psychology 3 4%
Business, Management and Accounting 2 2%
Computer Science 2 2%
Other 12 15%
Unknown 23 28%