| Title |
A systematic approach to adnexal masses discovered on ultrasound: the ADNEx MR scoring system
|
|---|---|
| Published in |
Abdominal Radiology, September 2017
|
| DOI | 10.1007/s00261-017-1272-7 |
| Pubmed ID | |
| Authors |
Elizabeth A. Sadowski, Jessica B. Robbins, Andrea G. Rockall, Isabelle Thomassin-Naggara |
| Abstract |
Adnexal lesions are a common occurrence in radiology practice and imaging plays a crucial role in triaging women appropriately. Current trends toward early detection and characterization have increased the need for accurate imaging assessment of adnexal lesions prior to treatment. Ultrasound is the first-line imaging modality for assessing adnexal lesions; however, approximately 20% of lesions are incompletely characterized after ultrasound evaluation. Secondary assessment with MR imaging using the ADNEx MR Scoring System has been demonstrated as highly accurate in the characterization of adnexal lesions and in excluding ovarian cancer. This review will address the role of MR imaging in further assessment of adnexal lesions discovered on US, and the utility of the ADNEx MR Scoring System. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 53% |
| United Kingdom | 1 | 6% |
| Chile | 1 | 6% |
| France | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 35% |
| Practitioners (doctors, other healthcare professionals) | 5 | 29% |
| Members of the public | 4 | 24% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 9% |
| Student > Bachelor | 5 | 9% |
| Other | 4 | 7% |
| Lecturer | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 11 | 20% |
| Unknown | 25 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 41% |
| Computer Science | 2 | 4% |
| Unspecified | 1 | 2% |
| Nursing and Health Professions | 1 | 2% |
| Unknown | 29 | 52% |