Gynecologic Imaging and Reporting Data System for classifying adnexal masses

Area of Science:

• Gynecologic imaging
• Diagnostic performance evaluation
• Adnexal mass classification

Background:

• Adnexal masses require accurate classification for appropriate management.
• The Gynecologic Imaging and Report Data System (GI-RADS) is a proposed tool for standardizing adnexal mass assessment.
• Systematic evaluation of GI-RADS diagnostic performance is needed.

Approach:

• A systematic review and meta-analysis were conducted.
• Searched multiple databases (Medline, Google Scholar, Scopus, Cochrane, Web of Science) from January 2009 to December 2021.
• Pooled sensitivity, specificity, likelihood ratios, and DOR were calculated; study quality assessed using QUADAS-2.

Key Points:

• 26 studies including 7350 adnexal masses were analyzed.
• GI-RADS demonstrated high pooled sensitivity (94%) and specificity (90%) for classifying adnexal masses.
• High heterogeneity was observed, explained by multiple observers and study design.

Conclusions:

• The GI-RADS system exhibits good diagnostic performance in classifying adnexal masses.
• This supports its utility as a standardized reporting system in gynecologic imaging.
• Further research may address heterogeneity to refine its application.