Sonographic Study of Adnexal Masses Using Gynecologic Imaging-Reporting and Data System (GI-RADS)

Abstract : Background and Objective: The Gynecology Reporting and Data System (GI-RADS) is a standardized framework designed to improve adnexal mass characterization and streamline clinician-radiologist communication. By utilizing morphological features and Doppler vascularity, GI-RADS reduce subjectivity in ultrasound interpretation. This study evaluated its diagnostic performance in predicting malignancy risk and providing clear clinical pathways for patient management. Methodology: A clinical study was conducted at Al-Auda Medical Center, Saudi Arabia, The study included 300 female patients (ages 17+) undergoing ultrasound evaluation for adnexal lesions. Data were analyzed using SPSS version 20. Results: The mean age was 35.7±10.3 years. Masses were most prevalent in premenopausal married women aged 26–45 (58%), with pelvic pain as the primary indicator (61.3%). Analysis showed 85% of masses had regular capsules and 93.7% were well-defined. Septation occurred in 13.3%, while posterior shadowing and vascularization were noted in 40.3% and 25.7%, respectively. A strong significant correlation (P=0.000) was found between GI-RADS grades and sonographic parameters. Simple ovarian cysts were the most frequent diagnosis (25%), while malignant outcomes were minimal (1.3%). Distribution showed GI-RADS 3 was most frequent (51.7%), followed by GI-RADS 2 (36.3%), GI-RADS 4 (8%), GI-RADS 5 (2%), and GI-RADS 1 (2%). Conclusion: GI-RADS is a reliable tool for preoperative assessment, effectively distinguishing benign (GI-RADS 2/3) from suspicious (GI-RADS 4/5) lesions. Implementing this standardized language enhances diagnostic accuracy and optimizes surgical management. The researcher recommends mandatory inclusion of GI-RADS scores in all pelvic ultrasound reports to guide clinical decision-making.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-26
DOI
https://doi.org/10.5281/zenodo.19787649
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
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article

Sonographic Study of Adnexal Masses Using Gynecologic Imaging-Reporting and Data System (GI-RADS)

Alauda Mohammed Abdelaziz, Mohammednor Eman Mahgoub Mustafa, Osman Kamal Mahgoub Omer, Osman Manahil Abdelazim Suliman et al.
Zenodo (CERN European Organization for Nuclear Research)
Ovarian cancer diagnosis and treatment
article

Sonographic Study of Adnexal Masses Using Gynecologic Imaging-Reporting and Data System (GI-RADS)

Alauda Mohammed Abdelaziz, Mohammednor Eman Mahgoub Mustafa, Osman Kamal Mahgoub Omer, Osman Manahil Abdelazim Suliman, Hassan Ikhlas Abdelaziz, Mohamed Muna Ahmed
article en

Abstract

Abstract : Background and Objective: The Gynecology Reporting and Data System (GI-RADS) is a standardized framework designed to improve adnexal mass characterization and streamline clinician-radiologist communication. By utilizing morphological features and Doppler vascularity, GI-RADS reduce subjectivity in ultrasound interpretation. This study evaluated its diagnostic performance in predicting malignancy risk and providing clear clinical pathways for patient management. Methodology: A clinical study was conducted at Al-Auda Medical Center, Saudi Arabia, The study included 300 female patients (ages 17+) undergoing ultrasound evaluation for adnexal lesions. Data were analyzed using SPSS version 20. Results: The mean age was 35.7±10.3 years. Masses were most prevalent in premenopausal married women aged 26–45 (58%), with pelvic pain as the primary indicator (61.3%). Analysis showed 85% of masses had regular capsules and 93.7% were well-defined. Septation occurred in 13.3%, while posterior shadowing and vascularization were noted in 40.3% and 25.7%, respectively. A strong significant correlation (P=0.000) was found between GI-RADS grades and sonographic parameters. Simple ovarian cysts were the most frequent diagnosis (25%), while malignant outcomes were minimal (1.3%). Distribution showed GI-RADS 3 was most frequent (51.7%), followed by GI-RADS 2 (36.3%), GI-RADS 4 (8%), GI-RADS 5 (2%), and GI-RADS 1 (2%). Conclusion: GI-RADS is a reliable tool for preoperative assessment, effectively distinguishing benign (GI-RADS 2/3) from suspicious (GI-RADS 4/5) lesions. Implementing this standardized language enhances diagnostic accuracy and optimizes surgical management. The researcher recommends mandatory inclusion of GI-RADS scores in all pelvic ultrasound reports to guide clinical decision-making.

Zenodo (CERN European Organization for Nuclear Research)
University of Medical Sciences and Technology (SD), University of Hafr Al-Batin (SA), Sudan University of Science and Technology (SD)
Gender equality
Openalex Percentile: Top 5%
Ovarian cancer diagnosis and treatment
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