
Gynecologic Imaging-Reporting and Data System (GI-RADS)
2024年5月17日 · The Gynecologic Imaging-Reporting and Data System (GI-RADS) is a reporting system that was created for reporting the findings in adnexal masses based on transvaginal …
O-RADS分类、GI-RADS分类、简单规则对卵巢肿瘤诊断性能的比较
摘要: 目的:探究卵巢–附件超声报告和数据系统的风险分层与管理 (O-RADS)、妇科影像报告与数据系统 (GI-RADS)、简单规则对卵巢肿瘤良恶性的诊断能力。 方法:回顾性分析卵巢肿瘤患 …
GI-RADS reporting system for ultrasound evaluation of …
The GI-RADS reporting system performed well in identifying adnexal masses at high risk of malignancy and seems to be useful for clinical decision-making.
Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding ... - PubMed
Five experienced consultant radiologists independently categorized each AM according to O-RADS, gynecologic imaging reporting and data system (GI-RADS), and international ovarian …
GI-RADS: A valuable tool to improve ultrasound reporting of …
2019年6月14日 · GI-RADS is a standardized reporting system for radiologists to use with transabdominal or transvaginal sonography to characterize adnexal masses and their risk of …
GI‐RADS reporting system for ultrasound evaluation of adnexal …
2011年4月4日 · We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR−) of the …
Gynecology Imaging Reporting and Data System (GI-RADS
Considering combined GR4 and GR5 as a predictor for malignancy, the sensitivity, specificity, and accuracy of GI-RADS were 97.6%, 93.9%, and 95.4%, respectively. The IRA of the GI-RADS …
The diagnostic performance of the Gynecologic Imaging …
Gynecologic Imaging Reporting and Data System (GI-RADS) is a useful diagnostic tool based on objective ultrasound features to diagnose the malignancy of the female genital system. …
GI-RADS分类及超声弹性成像在卵巢肿瘤诊断中的应用进展
本文就卵巢癌的诊断现状、妇科影像报告和数据系统(gynecologic imaging reporting and data system,GI-RADS)分类及超声弹性成像新技术在其诊断中的应用情况作如下综述。 在临床诊 …
超声GI-RADS分级与血清肿瘤标志物在小儿卵巢肿瘤良恶性鉴别中 …
目的: 探讨妇科影像报告和数据系统(Gynecology Imaging Reporting and Data System,GI-RADS)分级与肿瘤标志物在小儿卵巢肿瘤良恶性鉴别中的价值。 方法: 回顾并分析100例小 …