Title |
The clothes maketh the sign
|
---|---|
Published in |
Insights into Imaging, June 2016
|
DOI | 10.1007/s13244-016-0507-4 |
Pubmed ID | |
Authors |
Bryan Buckley, Victoria O. Chan, David P. Mitchell, Shaunagh McDermott, Ron L. Eisenberg, Eric J. Heffernan, Carole A. Ridge |
Abstract |
Pattern recognition is a key tool that enables radiologists to evoke certain diagnoses based on a radiologic appearance. In Shakespeare's Hamlet, Polonius tells his son Laertes to dress well because "apparel oft proclaims the man"; this phrase is now expressed in modern parlance as "the clothes maketh the man". Similarly in radiology, appearances are everything, and in the case of radiologic signs, occasionally "the clothes maketh the sign". The radiologic signs described in this pictorial review resemble items of clothing, fabric types, headwear, or accessories and are found in the musculoskeletal, pulmonary, gastrointestinal, and genitourinary systems. These "clothing signs" serve as a useful visual trigger to help radiologists to identify particular disease entities. • Pattern recognition enables radiologists to evoke a diagnosis based on radiologic appearance. • The radiologic signs described in this review resemble clothing, fabric, or accessories. • These "clothing signs" serve as visual triggers that evoke particular disease entities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 25% |
Australia | 1 | 13% |
United Kingdom | 1 | 13% |
Cyprus | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 15% |
Professor | 2 | 15% |
Other | 1 | 8% |
Lecturer | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 3 | 23% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 54% |
Social Sciences | 1 | 8% |
Nursing and Health Professions | 1 | 8% |
Unknown | 4 | 31% |