Your browser doesn't support javascript.
loading
Value of MRI Ovarian-Adnexal Reporting and Data System in Differentiating Benign and Malignant Ovarian-Adnexal Lesions / 中山大学学报(医学科学版)
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 99-105, 2023.
Article in Chinese | WPRIM | ID: wpr-961835
ABSTRACT
ObjectiveTo explore the value of MRI ovarian-adnexal reporting and data system (O-RADS MRI) in differentiating benign and malignant ovarian-adnexal masses.MethodsTotally 146 patients (202 masses) with ovarian-adnexal lesions who underwent pelvic examination at 3.0 T MRI according to standardized scan protocol of O-RADS MRI and were pathologically confirmed in The First Affiliated Hospital of Sun Yat-sen University between January 2020 and February 2022 were retrospectively analyzed. Two radiologists classified the ovarian-adnexal masses as risk levels 1~5 according to O-RADS MRI and evaluated their consistency by Cohen’s kappa. Using pathological findings as the gold standard, the detection yield of malignant lesions with O-RADS MRI classification was analyzed. Sensitivityspecificity, accuracy, and the area under the receiver operating characteristic curve were calculated (cutoff for malignancy, score ≥ 4).ResultsOf 202 masses, 62 (30.7%) were malignant, 140 (69.3%) were benign. The two radiologists presented good agreement in O-RADS MRI classification of ovarian adnexal masses (Kappa=0.932). The malignancy rates of masses with scores of 1, 2, 3, 4 and 5 were 0%, 0%, 7.7%, 95%, 97.6%, respectively. Sensitivityspecificity, accuracy, and the area under the receiver operating characteristic curve were 96.8% (60/62), 98.6% (138/140), 98.0% (198/202), 0.977.ConclusionsO-RADS MRI yields high diagnostic efficiency for benign and malignant ovarian adnexal masses and its widespread implementation will improve communication between radiologists and clinicians, and facilitate optimal patient management. Therefore, O-RADS MRI warrants widespread use in clinical setting.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Sun Yat-sen University(Medical Sciences) Year: 2023 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Sun Yat-sen University(Medical Sciences) Year: 2023 Type: Article