Prospective evaluation of IOTA logistic regression models LR1 and LR2 in comparison with subjective pattern recognition for diagnosis of ovarian cancer in an outpatient setting-Reference-Cited by-同舟云学术

Prospective evaluation of IOTA logistic regression models LR1 and LR2 in comparison with subjective pattern recognition for diagnosis of ovarian cancer in an outpatient setting

Published:2018-06 Issue:6 Volume:51 Page:829-835
ISSN:0960-7692
Container-title:Ultrasound in Obstetrics & Gynecology
language:en
Short-container-title:Ultrasound Obstet Gynecol

Author:

Nunes N.¹^ORCID,Ambler G.²,Foo X.¹,Widschwendter M.³,Jurkovic D.¹^ORCID

Affiliation:

1. Gynaecological Diagnostic Outpatient Treatment Unit; University College Hospital; London UK

2. Department of Statistical Science; University College London; London UK

3. Department of Women's Cancer; University College London, Elizabeth Garrett Anderson Institute for Women's Health; London UK

Funder

Department of Health's NIHR Biomedical Research Centres funding scheme

Publisher

Wiley

Subject

Obstetrics and Gynecology,Radiology, Nuclear Medicine and imaging,Reproductive Medicine,General Medicine,Radiological and Ultrasound Technology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/uog.18918/fullpdf

Reference20 articles.

1. Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group;Timmerman;J Clin Oncol,2005

2. Education and Practical Standards Committee, European Federation of Societies for Ultrasound in Medicine and Biology. Minimum training recommendations for the practice of medical ultrasound;Ultraschall Med,2006

3. Minimum training requirements for the practice of Medical Ultrasound in Europe;Education and Practical Standards Committee, European Federation of Societies for Ultrasound in Medicine and Biology;Ultraschall Med,2010

4. Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group;Timmerman;Ultrasound Obstet Gynecol,2010

5. Medicine based evidence, a prerequisite for evidence based medicine;Knottnerus;BMJ,1997

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A meta-analysis of the predictive value of different images for benign and malignant ovarian tumors;WFUMB Ultrasound Open;2024-07

2. A modified CEUS risk stratification model for adnexal masses with solid components: prospective multicenter study and risk adjustment;European Radiology;2024-02-19

3. Differential ultrasound diagnosis of benign and malignant ovarian tumors: diagnostic models, algorithms, stratification systems, consensuses (1990–2023).;Ultrasound & Functional Diagnostics;2023-12-22

4. Comparative diagnostic accuracy of the IOTA SRR and LR2 scoring systems for discriminating between malignant and Benign Adnexal masses by junior physicians in Chinese patients: a retrospective observational study;BMC Women's Health;2023-11-08

5. Adnexal Lesion Imaging: Past, Present, and Future;Radiology;2023-06-01