Evidence map›Paper›PMID 42699266›Full record

ArticleInternational journal of women's health2026

A Simple O-RADS-Based Ultrasound Scoring System for Risk Stratification of Ovarian Cystic Lesions: A Multicenter Study.

Liping Gong, Yingnan Wu, Xiaoying Li, Shuang Zhang, Lei Wu, Yaoting Wang, Ailin Cui, Yanqing Peng, Xiaoshan Du, Jing Zhao and 1 more

Abstract read
In one paragraph

Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

11 authors.

Liping Gong *Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Yingnan Wu *Cancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Xiaoying LiCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Shuang ZhangDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, People's Republic of China.
Lei WuDepartment of Ultrasound, Chongqing University Fuling Hospital, Chongqing, People's Republic of China.
Yaoting WangCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Ailin CuiCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Yanqing PengCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Xiaoshan DuDepartment of Ultrasound, Heilongjiang Tianyuan Maternity Hospital, Harbin, Heilongjiang, People's Republic of China.
Jing ZhaoDepartment of Ultrasound Medicine, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, Sichuan, People's Republic of China.
Litao SunCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0002-4724-0971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a simple and practical scoring system based on O-RADS ultrasound features for distinguishing benign from malignant ovarian cystic lesions. Methods: This multi-institutional retrospective study included women with ovarian cystic lesions who underwent pelvic ultrasound and had either histopathological confirmation or at least 2 years of imaging follow-up. Participants were randomized into training (70%, n=1715) and internal validation (30%, n=711) sets, with an external validation set (n=278) from another center. Univariate and multivariate logistic regression identified independent O-RADS predictors of malignancy, which were assigned weights to construct a scoring system. Performance was validated internally and externally, and compared with O-RADS. Inter-observer agreement was assessed between two junior sonographers and two senior sonographers. Results: Seven independent predictors were identified: maximum diameter ≥10 cm (score 2), solid component (2), irregular internal wall (2), color score 3-4 (2), ascites (2), >3 papillary projections (1), and acoustic shadowing (-2), with an optimal cutoff value of 4 points. In the training set, the scoring system achieved an AUC of 0.973, sensitivity of 95.3%, and specificity of 92.5%, compared to O-RADS (AUC of 0.954, sensitivity of 97.3%, specificity of 86.7%). The scoring system maintained stable performance in internal validation (AUC of 0.968, sensitivity of 93.8%, specificity of 91.8%) and external validation (AUC of 0.964, sensitivity of 93.0%, specificity of 90.2%). Inter-observer agreement was excellent among all sonographers (κ=0.80, p<0.001), as well as between junior (κ=0.82) and senior (κ=0.79) sonographers. Conclusion: The O-RADS-based scoring system demonstrated excellent and stable diagnostic performance, potentially offering a simple and practical tool for clinical practice; however, prospective multicenter validation in diverse populations is warranted before widespread adoption.

Indexed as

adnexal massO-RADSscoring systemultrasound

Identifiers

PMID42699266
PMCPMC13544139

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.