Evidence map›Paper›PMID 38374482›Full record

ArticleEuropean radiology2024

A modified CEUS risk stratification model for adnexal masses with solid components: prospective multicenter study and risk adjustment.

Manli Wu, Man Zhang, Enze Qu, Xiaofeng Sun, Rui Zhang, Liang Mu, Li Xiao, Hong Wen, Ruili Wang, Tingting Liu and 7 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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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

17 authors.

Manli Wu *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Man Zhang *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Enze Qu *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Xiaofeng SunDepartment of Ultrasound, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Rui ZhangDepartment of Ultrasound, Children's Hospital of Shanxi (Women Health Center of Shanxi), Taiyuan, China.
Liang MuUltrasound Diagnosis Center, Shaanxi Provincial People's Hospital, Xi'an, China.
Li XiaoDepartment of Ultrasound, The Fifth People's Hospital of Chengdu, Chengdu, China.
Hong WenDepartment of Ultrasound, Huizhou Central People's Hospital, Huizhou, China.
Ruili WangDepartment of Ultrasound, Henan Provincial People's Hospital, Zhengzhou, China.
Tingting LiuDepartment of Ultrasound Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiaotao MengDepartment of Ultrasound, The Third Hospital of BaoGang Group, The Maternity Hospital Of Bao Tou, Baotou, China.
Shuangyu WuDepartment of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Ying ChenDepartment of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Manting SuDepartment of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Ying WangDepartment of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jian GuDepartment of Gynecology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. gujian@mail.sysu.edu.cn.
Xinling ZhangDepartment of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China. zhxl@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7021-3533

Funding

Fundamental Research Funds for the Central Universities Sun Yat-sen University 23qnpy142Guangzhou Basic and Applied Basic Research Scheme: Project for Maiden Voyage SL2023A04J02108National Natural Science Foundation of China 82202191
6 · The paper itself

Abstract

objectivesTo evaluate the additional advantages of integrating contrast-enhanced ultrasound (CEUS) into the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) for the characterization of adnexal lesions with solid components. MATERIALS AND

methodsThis prospective multicenter study recruited women suspected of having adnexal lesions with solid components between September 2021 and December 2022. All patients scheduled for surgery underwent preoperative CEUS and US examinations. The lesions were categorized according to the O-RADS US system, and quantitative CEUS indexes were recorded. Pathological results served as the reference standard. Univariable and multivariable analyses were performed to identify risk factors for malignancy in adnexal lesions with solid components. Receiver operating characteristic (ROC) curve analysis was employed to assess diagnostic performance.

resultsA total of 180 lesions in 175 women were included in the study. Among these masses, 80 were malignant and 100 were benign. Multivariable analysis revealed that serum CA-125, the presence of acoustic shadowing, and peak intensity (PI) ratio (PI

conclusionOur findings underscore the potential value of CEUS as an adjunctive tool for enhancing the precision of diagnostic evaluations of O-RADS US. CLINICAL RELEVANCE STATEMENT: The promising performance of the modified CEUS risk stratification model suggests its potential to mitigate unnecessary surgeries in the characterization of adnexal lesions with solid components. KEY POINTS: • The additional value of CEUS to O-RADS US in distinguishing between benign and malignant adnexal lesions with solid components requires further evaluation. • The modified CEUS risk stratification model displayed superior diagnostic value and specificity in characterizing adnexal lesions with solid components when compared to O-RADS US. • The inclusion of CEUS demonstrated potential in reducing the need for unnecessary surgeries in the characterization of adnexal lesions with solid components.

Indexed as

Adnexal DiseasesContrast MediaUltrasonographyAdultAgedFemaleHumansMiddle AgedProspective StudiesRisk AdjustmentRisk AssessmentSensitivity and SpecificityContrast MediaContrast mediaDiagnosisOvarian cancerUltrasonography

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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.