Conservative management of adnexal tumors: how to tell good from bad-Reference-Cited by-同舟云学术

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Conservative management of adnexal tumors: how to tell good from bad

Published:2023-02 Issue:2 Volume:61 Page:149-151
ISSN:0960-7692
Container-title:Ultrasound in Obstetrics & Gynecology
language:en
Short-container-title:Ultrasound in Obstet & Gyne

Author:

Jurkovic D.¹^ORCID

Affiliation:

1. Elizabeth Garrett Anderson Institute for Women's Health, University College London London UK

Abstract

Linked article: This Editorial comments on Landolfo et al. Click here to view the article.

Publisher

Wiley

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/uog.26158

Reference16 articles.

1. Benign descriptors and ADNEX in two‐step strategy to estimate risk of malignancy in ovarian tumors: retrospective validation in IOTA5 multicenter cohort

2. Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) group

3. Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study

4. Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

5. O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee

Cited by 2 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. Diagnostic Efficacy of Ultrasound-Based International Ovarian Tumor Analysis Simple Rules and Assessment of the Different Neoplasias in the Adnexa Model in Malignancy Prediction Among Women With Adnexal Masses: A Systematic Review;Cureus;2024-08-21

2. Diagnostic Performance of Ultrasonography-Based Risk Models in Differentiating Between Benign and Malignant Ovarian Tumors in a US Cohort;JAMA Network Open;2023-07-13

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