Evidence map›Paper›PMID 42902302›Full record

ArticleBMC women's health2026

Exploratory evaluation of a CEUS-derived substitution for solid-component measurement in the ADNEX model.

Manli Wu, Ying Chen, Shuangyu Wu, Ruili Wang, Xiaotao Meng, Hong Wen, Rui Zhang, Liang Mu, Li Xiao, Tingting Liu and 10 more

Abstract readMulticenter Study
In one paragraph

Article in BMC 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.

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5 · Who and what money

Authors and funding

20 authors.

Manli Wu *Department of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Ying Chen *Department of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Shuangyu Wu *Department of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Ruili WangDepartment of Ultrasound, Henan Provincial People's Hospital, Zhengzhou, People's Republic of China.
Xiaotao MengDepartment of Ultrasound, The Third Hospital of BaoGang Group, The Maternity Hospital of Bao Tou, Baotou, People's Republic of China.
Hong WenDepartment of Ultrasound, Huizhou Central People's Hospital, Huizhou, People's Republic of China.
Rui ZhangDepartment of Ultrasound, Children's Hospital of Shanxi (Women's Health Center of Shanxi), Taiyuan, People's Republic of China.
Liang MuUltrasound Diagnosis Center, Shaanxi Provincial People's Hospital, Xian, People's Republic of China.
Li XiaoDepartment of Ultrasound, The Fifth People's Hospital of Chengdu, Chengdu, People's Republic of China.
Tingting LiuDepartment of Ultrasound Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Sijia ChenDepartment of Ultrasound, Nanchong Central Hospital, Nanchong, People's Republic of China.
Zeping HuangDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Junlin ZhongDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Yatong ChenDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Ying WangDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Man ZhangDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Licong HuangDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Jingjing LiuDepartment of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China.
Xiaofeng Sun *Department of Ultrasound, Wuhan Central Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 26 Shengli Street, Jiang'an District, Wuhan, 430014, People's Republic of China. sxf7251@zxhospital.com.
Xinling Zhang *Department of Ultrasound, the Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, People's Republic of China. zhxinl@mail.sysu.edu.cn.ORCID https://orcid.org/0000-0002-7021-3533

Funding

GuangDong Basic and Applied Basic Research Foundation 2023A1515220008Guangdong Province Hospital Association Ultrasound Medicine Research Special Fund 2023CSM004Guangzhou Basic and Applied Basic Research Foundation 2024A04J4786Guangzhou Basic and Applied Basic Research Scheme 2025A03J3213Guangzhou Medical Research Fund Project 2026KL-A1001National Natural Science Foundation of China 82402296Science and Technology Projects of Guangzhou 2023A03J0217
6 · The paper itself

Abstract

backgroundAlthough the Assessment of Different Neoplasias in the adnexa (ADNEX) model has been widely validated, there remains challenges in differentiating true solid components from benign mimics. We aimed to evaluate the feasibility and value of substituting conventional ultrasound-derived solid component size with CEUS-derived measurements in the ADNEX model for adnexal lesions discrimination.

methodsThis multicenter prospective study recruited consecutive patients with suspected adnexal lesions with solid components detected at ultrasound between January 2022 and June 2024. All patients underwent preoperative CEUS examination. Pathological results serve as the reference standard. Each adnexal lesion was evaluated using ADNEX, a CEUS-based modified ADNEX score (CEUS-derived substitution for solid-component measurement without updating model coefficients) and Ovarian-Adnexal Reporting and Data System (O-RADS) Ultrasound (US) score.

resultsA total of 204 patients (median age, 47.0 years [IQR: 33.0-56.0 years]) with 204 lesions were included. The area under the receiver operating characteristic curve (AUROC) for CEUS-based modified ADNEX was 0.906 (95% CI: 0.867-0.944), which was superior to that of ADNEX (AUROC:0.865; 95% CI, 0.814-0.916; P = 0.019) and O-RADS US (AUROC: 0.783; 95% CI, 0.726 -0.840; P < 0.001) in classifying adnexal lesions with solid components. CEUS-based modified ADNEX demonstrated greater specificity (0.664) compared to ADNEX (0.283; P < 0.001) and O-RADS US (0.221; P < 0.001).

conclusionsCEUS-derived modification for solid-component measurement in the ADNEX model showed potential improvements in the diagnostic specificity and clinical benefit compared with the original ADNEX framework in the classification of adnexal lesions with solid components.

Indexed as

Adnexal DiseasesAdnexa UteriAdultContrast MediaFeasibility StudiesFemaleHumansMiddle AgedOvarian NeoplasmsProspective StudiesROC CurveSensitivity and SpecificityUltrasonographyContrast MediaAdnexal LesionContrast-enhanced UltrasoundMalignancy

Identifiers

PMID42902302
PMCPMC13685161

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