Evidence map›Paper›PMID 42886294›Full record

ArticleInsights into imaging2026

Diagnostic accuracy of a modified non-contrast O-RADS MRI scoring system: a retrospective study.

Yan Ren, Can Cui, Zhijing Zhang, Wei Liao, Chen Zhang, Yue Cheng, Wen Shen

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Article in Insights into imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Yan Ren *First Central Hospital of Tianjin Medical University, Tianjin, China.
Can Cui *First Central Hospital of Tianjin Medical University, Tianjin, China.
Zhijing Zhang *Department of Radiology, The No.988 Hospital of Joint Logistic Support Force of Chinese People's Liberation Army, Zhengzhou, China.
Wei LiaoSchool of Medicine, Nankai University, Tianjin, China.
Chen ZhangMR Collaborations, Siemens Healthcare Ltd., Beijing, China.
Yue ChengDepartment of Radiology, First Central Hospital of Tianjin Medical University, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, Tianjin, China. chengyue200017076@163.com.
Wen ShenDepartment of Radiology, First Central Hospital of Tianjin Medical University, Tianjin First Central Hospital, Tianjin Institute of Imaging Medicine, Tianjin, China. shenwen66happy@126.com.ORCID http://orcid.org/0000-0002-8466-2989

Funding

National Natural Science Foundation of China 82271971Tianjin Health Research Project TJWJ2023XK012Tianjin Key Medical Discipline Construction Project and Tianjin Institute of imaging medicine TJYXZDXK-3-012BTianjin Science and Technology Plan Project 25ZXWZSY00060
6 · The paper itself

Abstract

objectiveTo develop a modified non-contrast O-RADS MRI scoring system and validate its diagnostic performance. MATERIALS AND

methodsThe modified non-contrast O-RADS MRI scoring system was developed by incorporating the significant signs from the standard O-RADS MRI system. This study retrospectively enrolled the 176 adnexal masses in cohort A. MRI imaging features were compared between benign and malignant tumors within this cohort. The diagnostic performance of the two scoring models was assessed by estimating the area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI). In addition, 352 adnexal lesions from cohorts B and C were included to further evaluate the diagnostic ability of the modified scoring system.

resultsIn cohort A, the papillary projections exhibiting the sea anemone sign were highly indicative of borderline lesions (p = 0.001). Diffusion restriction in solid components significantly distinguished benign from malignant masses (p = 0.001). The apparent diffusion coefficient (ADC) value of cystic components yielded a cutoff of 1.74 (p < 0.05). The DeLong test revealed no statistically significant difference in AUCs between the two systems in cohort A (p > 0.05). The NRI and IDI for the modified non-contrast O-RADS MRI scoring system were -4.13% and -0.04, respectively (all p > 0.05). In cohorts B and C, the AUCs were 0.933 and 0.910.

conclusionThe diagnostic efficacy of the modified non-contrast O-RADS MRI scoring system was comparable to that of the standard O-RADS MRI risk stratification system, facilitating the distinction between benign and malignant adnexal neoplasms. KEY POINTS: Question How can a modified non-contrast O-RADS MRI scoring system be developed, and can this scoring system accurately classify adnexal masses? Findings The modified non-contrast O-RADS MRI system demonstrates excellent diagnostic performance and reliable risk stratification of adnexal masses by evaluating key imaging features. Critical relevance statement The modified non-contrast O-RADS MRI scoring system contributes to the risk stratification of adnexal masses, particularly for patients who cannot undergo contrast agent administration. This system provides a reliable tool to optimize treatment strategies and improve patient outcomes.

Indexed as

Magnetic resonance imagingOvarian neoplasmsRisk assessment

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.