Evidence map›Paper›PMID 39177575›Full record

ArticleThe British journal of radiology2024

A dual-center study: can ultrasound radiomics differentiate type I and type II epithelial ovarian cancer patients with normal CA125 levels?

Lixuan Chen, Chenyang Jin, Bo Chen, Asta Debora, Weizeng Su, Qingwen Zhou, Shuai Zhou, Jinyan Bian, Yunjun Yang, Li Lan

Abstract readMulticenter Study
In one paragraph

Article in The British journal of radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    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

10 authors.

Lixuan ChenThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Chenyang JinDepartment of Ultrasound, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China.
Bo ChenThe Department of Medical Record, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Asta DeboraThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Weizeng SuThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Qingwen ZhouThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Shuai ZhouThe Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Jinyan BianDepartment of Obstetrics and Gynecology Ultrasound, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215000, China.
Yunjun YangThe Department of Nuclear, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.ORCID 0000-0003-2080-2417
Li LanThe Department of Ultrasound, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.ORCID 0000-0003-1255-5102

Funding

Wenzhou Science and Technology Foundation ZY20220068
6 · The paper itself

Abstract

objectiveCA125 is recommended by many countries as the primary screening test for ovarian cancer. But there are patients with ovarian cancer having normal CA125. We hope to identify the types of EOC with normal CA125 levels better by building a refined model based on the ultrasound radiomics, thus providing precise medical treatment for patients.

methodsWe included 58 patients with EOC with normal CA125 from 2 centres, who were confirmed by preoperative ultrasound and pathology. We extracted 1130 radiomics features based on the tumour's region of interest from the most typical ultrasound image of each patient. We selected radiomics and clinical features by LASSO and logistic regression to construct Rad-score and clinical models, respectively. Receiver operating characteristic curves judged their test efficacy. On the basis of the combined model, we developed a nomogram.

resultsArea under the curves (AUCs) of 0.93 and 0.83 were achieved in both the training and test groups for the combined model. There were similar AUCs between the Rad-score and clinical models of 0.82 and 0.80, respectively. By analysing the calibration curves, it was determined that the nomogram matched actual observations in the training cohort.

conclusionUltrasound radiomics can differentiate type I and type II EOC with normal CA125 levels. ADVANCES IN KNOWLEDGE: This study is the first to focus on EOC cases with normal level of CA125. The subset of patients constituting 20% of the disease population may require more refined radiomics models.

Indexed as

CA-125 AntigenCarcinoma, Ovarian EpithelialOvarian NeoplasmsUltrasonographyAdultAgedFemaleHumansMiddle AgedNomogramsRadiomicsRetrospective StudiesROC CurveCA-125 AntigenCA-125 antigenovarian cancerradiomicsultrasound

Identifiers

PMID39177575
PMCPMC11417353

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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.