Evidence map›Paper›PMID 41220029›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2025

Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications.

Yiyang Huang, Wangrui Peng, Huai Yang, Zichao Liu, Tingyu Zhang, Linyuan Jin, Wen He, Meng Du, Zhiyi Chen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Differentiating high- and low-grade serous ovarian carcinoma using radiomics: a pilot study.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2026
    Observational
  2. A multimodal MRI radiomics model for distinguishing borderline from malignant ovarian epithelial tumors.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Review
  4. Review
  5. Review
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

9 authors.

Yiyang Huang *Department of Ultrasound, Department of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, 161 ShaoShan South Road, Changsha, Hunan, 410004, China.
Wangrui Peng *Key Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, College of Hunan Province, The Affiliated Changsha Central Hospital, University of South China, Changsha, China.
Huai YangKey Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, College of Hunan Province, The Affiliated Changsha Central Hospital, University of South China, Changsha, China.
Zichao LiuKey Laboratory of Medical Imaging Precision Theranostics and Radiation Protection, College of Hunan Province, The Affiliated Changsha Central Hospital, University of South China, Changsha, China.
Tingyu ZhangDepartment of Ultrasound, Department of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, 161 ShaoShan South Road, Changsha, Hunan, 410004, China.
Linyuan JinDepartment of Ultrasound, Department of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, 161 ShaoShan South Road, Changsha, Hunan, 410004, China.
Wen HeDepartment of Ultrasound, Department of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, 161 ShaoShan South Road, Changsha, Hunan, 410004, China. hewen@bjtth.org.
Meng DuDepartment of Ultrasound, Department of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, 161 ShaoShan South Road, Changsha, Hunan, 410004, China. dumeng_work@126.com.
Zhiyi ChenDepartment of Ultrasound, Department of Medical Imaging, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, 161 ShaoShan South Road, Changsha, Hunan, 410004, China. zhiyi_chen@usc.edu.cn.

Funding

Clinical Research 4310 Program of the Affiliated Changsha Central Hospital of the University of South China 20214310NHYCG06Health Research Project of Hunan Provincial Health Commission W20241010Hunan Provincial Health High-Level Talent Scientific Research Project R2023010National Natural Science Foundation of China 82272028Postgraduate Scientific Research Innovation Project of Hunan Province CX20251496
6 · The paper itself

Abstract

Ovarian cancer (OC) is a leading cause of gynecologic cancer mortality, poses significant diagnostic challenges due to its inter- and intra-tumoral heterogeneity. Conventional qualitative imaging often fails to capture such complexity, whereas radiomics is specifically designed to address it. By integrating imaging features with clinical, genomic, or proteomic data, these approaches reveal sub-visual heterogeneity and enhance diagnostic accuracy. Ultrasound-based radiomics and radiogenomics further extend its clinical utility. Virtual biopsy techniques, such as radiomic habitat maps fused with ultrasound, enable real-time, multi-site sampling to predict prognosis, peritoneal metastasis, and recurrence. This review synthesizes recent advancements in ultrasound-based radiomics and radiogenomics for OC, focusing on their clinical utility in improving diagnostic accuracy, prognostic stratification, and personalized therapeutic strategies. Despite progress, challenges such as insufficient standardization and limited model interpretability persist. Future efforts should prioritize AI-augmented analytical pipelines, multicenter prospective validation, and biomarker discovery to bridge imaging phenotypes with precision oncology framework in OC management.

Indexed as

Ovarian NeoplasmsFemaleGenomicsHumansRadiomicsUltrasonographyOvarian cancerRadiogenomicsRadiomicsUltrasoundVirtual biopsy

Identifiers

PMID41220029
PMCPMC12607164

What OpenQuestion holds

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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.