The diagnostic performance of ultrasound in the diagnosis of indeterminate adnexal masses based on the O-RADS US scoring system

被引:0
|
作者
Tantawy, Heba Fathy Ahmad [1 ]
Ebrahim, Saeed Abdel Monem [1 ]
Kamal, Marwa Rashad Ahmad [2 ]
Hassan, Rania Mostafa [1 ]
机构
[1] Zagazig Univ, Fac Med, Dept Radiodiag, Zagazig, Egypt
[2] Al Ahrar Teaching Hosp, Zagazig, Egypt
来源
关键词
O-RADS; US; Indeterminate adnexal masses; OVARIAN-CANCER; MORTALITY; SYMPTOMS;
D O I
10.1186/s43055-024-01184-4
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundOne of the most frequent reasons for gynecologic imaging is adnexal masses. The aim of the study is to assess the diagnostic performance of ultrasonography in the identification of ambiguous adnexal masses using the O-RADS US scoring system.MethodsThis study included 108 cases and involved females with indeterminate adnexal masses, with any age group who were sent to the diagnostic ultrasonography department for evaluation of a worrisome adnexal mass lesion. We excluded patients who refused the examination despite informed discussion with the sonographer and patients with a previous history of operated adnexal lesion.ResultsBased on the O-RADS US score, more than half masses (52.8%) were diagnosed as O-RADS 3, which is low-risk malignant, and 47.2% were diagnosed as O-RADS 4, being intermediate-risk malignant. Regarding US O-RADS categorization in relation to the reference results by pathology, 57 lesions were categorized as O-RADS 3 by the US, and 18 of them was diagnosed as malignant according to pathology. Out of 51 lesions categorized as O-RADS 4 by the US, 30 were diagnosed as benign by pathology. At cutoff 4, the O-RADS US score for malignancy gave a sensitivity of 93.13% (95% CI 25.13-80.78), specificity of 66.72% (95% CI 34.49-76.81), PPV of 93.18% (95% CI 26.07-58.16), and NPV of 75.42% (95% CI 52.13-81.17) with an overall accuracy of 92.56% (95% CI 38.10-72.06).ConclusionsIn order to distinguish between benign and malignant neoplastic lesions, the US O-RADS classification system is a crucial non-invasive diagnostic tool for suspected ovarian tumors.
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页数:8
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