Evidence map›Paper›PMID 39164457›Full record

ArticleAbdominal radiology (New York)2025

Diagnostic performance of a modified O-RADS classification system for adnexal lesions incorporating clinical features.

Minrong Wu, Songqi Cai, Liuhong Zhu, Daohui Yang, Shunfa Huang, Xiaolan Huang, Qiying Tang, Yingying Guan, Shengxiang Rao, Jianjun Zhou

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Minrong Wu *Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Songqi Cai *Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Xuhui District, Shanghai, 200032, People's Republic of China.
Liuhong Zhu *Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Daohui YangDepartment of Ultrasound, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Shunfa HuangDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Xiaolan HuangDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Qiying TangDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Yingying GuanDepartment of Pathology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China.
Shengxiang RaoDepartment of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Xuhui District, Shanghai, 200032, People's Republic of China. raoxray@163.com.
Jianjun ZhouDepartment of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City, 361015, Fujian, People's Republic of China. zhoujianjunzs@126.com.

Funding

Xiamen Medical and Health Guidance Project, China 3502Z20224ZD1093
6 · The paper itself

Abstract

purposeTo compare the diagnostic efficacy of the Ovarian-Adnexal Reporting and Data System (O-RADS) MRI score with that of the modified O-RADS score on the basis of a simplified contrast-enhanced (CE) MRI protocol in characterizing adnexal masses with solid tissue. The added value of clinical features was evaluated to improve the ability of the scoring system to classify adnexal masses.

methodsA total of 124 patients with 124 adnexal lesions containing solid tissue were included in this two-center retrospective study. Among them, there were 40 benign lesions (40/124, 32.3%) and 84 were malignant lesions (84/124, 67.7%). Three radiologists independently reviewed the images and assigned the O-RADS MRI score and the modified O-RADS score for each adnexal mass. Histopathology was used as the reference standard. The diagnostic efficacy of the two scoring methods was compared. Univariate and multivariate logistic regression were performed to evaluate the value of significant features in the prediction of malignant tumors.

resultsThe O-RADS MRI score and modified O-RADS score showed sensitivity at 100.0% (95% CI, 95.7-100.0%) and 71.4% (95% CI, 60.5-80.8%), specificity at 12.5% (95% CI, 4.2-26.8%) and 75.0% (95% CI, 58.8-87.3%), respectively. The area under the curve of the modified O-RADS score was higher than the O-RADS score (0.732 [95% CI, 0.645-0.808] vs 0.575 [95% CI, 0.483-0.663]; p < 0.001). Multivariate analysis showed that the modified O-RADS score 4b or 5 combined with patient age > 38.5 years, nullipara, maximum diameter > 40.5 mm and HE4 > 78.9 pmol/L significantly improved the diagnostic efficacy up to 0.954 (95% CI, 0.901-0.984) (p < 0.001).

conclusionA modified O-RADS score combined with certain clinical features can significantly improve the diagnostic efficacy in predicting malignant tumors.

Indexed as

Adnexal DiseasesMagnetic Resonance ImagingAdolescentAdultAgedAged, 80 and overContrast MediaDiagnosis, DifferentialFemaleHumansMiddle AgedRadiology Information SystemsRetrospective StudiesSensitivity and SpecificityContrast MediaAdnexal diseaseCancer antigen 125Diagnostic performanceMagnetic resonance imagingOvarian-Adnexal Reporting and Data SystemSensitivity and specificity

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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.