Evidence map›Paper›PMID 42614437›Full record

ReviewFrontiers in oncology2026

A review of ovarian-adnexal reporting and data system and radiomics in ovarian cancer: focus on ultrasound applications.

Yang Yu, Huidong Li, Ying Liu

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 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

3 authors.

Yang Yu *Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer/Tianjin's Clinical Research Center for Cancer/Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Huidong Li *Department of Ultrasound, Tianjin Central Hospital of Gynecology Obstetrics, Tianjin, China.
Ying LiuDepartment of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer/Tianjin's Clinical Research Center for Cancer/Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is predominantly diagnosed at advanced stages, highlighting an urgent unmet need for effective early detection. The Ovarian-Adnexal Reporting and Data System (O-RADS) provides standardized criteria for ovarian ultrasound interpretation, and ultrasound based radiomics has evolved into a promising auxiliary modality for OC assessment. Cumulative evidence suggests that integrating radiomics features with O-RADS risk stratification can enhance non-invasive characterization of ovarian tumors, support diagnosis, and help evaluate treatment response. However, several critical barriers hinder its routine clinical implementation, including the lack of multicenter standardization, heterogeneous imaging protocols and poor cross-institutional reproducibility. This review systematically outlines the core diagnostic framework of O-RADS, summarizes recent advances in ultrasound radiomics, and explores the synergistic diagnostic performance of the combined workflow to guide clinical practice and future research endeavors.

Indexed as

imaging diagnosisO-RADSovarian cancerradiomicsultrasound

Identifiers

PMID42614437
PMCPMC13481873

What OpenQuestion holds

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Registered trials

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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.