Evidence map›Paper›PMID 42358537›Full record

ArticleFrontiers in oncology2026

Diagnostic value of high-frequency ultrasound in preoperative evaluation of benign and malignant skin tumors.

Yang Zhao, Yu-Jing Zhou, Dan-Hua Li, Ting Liang, Yu-Jing Zhao, Dan-Dan Shan, Chuan Qin

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Article 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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yang ZhaoDepartment of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.
Yu-Jing ZhouDepartment of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.
Dan-Hua LiDepartment of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.
Ting LiangDepartment of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.
Yu-Jing ZhaoDepartment of Radiology, Shanghai Skin Disease Hospital of Tongji University, Shanghai, China.
Dan-Dan ShanDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Chuan QinDepartment of Medical Ultrasound, Jinshan Hospital of Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a High-frequency ultrasound (HFUS)-based predictive nomogram integrating clinical and ultrasound features for distinguishing malignant from benign skin tumors. Methods: This retrospective study enrolled 185 patients who underwent preoperative HFUS examination for skin tumors. Patients were randomly divided into training (n=130; 73 malignant, 57 benign) and validation (n=55; 31 malignant, 24 benign) cohorts. Clinical characteristics and ultrasound features were systematically analyzed. Univariate and multivariate logistic regression analyses were used to identify independent predictors of malignancy, which were incorporated into a nomogram. Model performance was evaluated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Results: Malignant tumors demonstrated significantly greater multilayer involvement, irregular margins, heterogeneous echogenicity, raised surface morphology, and abundant intralesional vascularity compared to benign tumors (all P<0.001). Multivariate analysis identified five independent predictors of malignancy: advanced age (OR = 1.01, 95% CI: 1.00 - 1.01), multilayer involvement (OR = 1.19, 95% CI: 1.12 - 1.26), unclear margins (OR = 1.36, 95% CI: 1.21 - 1.54), raised surface morphology (OR = 1.10, 95% CI: 1.01 - 1.21), and heterogeneous echogenicity (OR = 1.09, 95% CI: 0.99 - 1.21). The nomogram achieved area under the curve (AUC) values of 0.98 (95% CI 0.95-1.00) in the training cohort and 0.98 (95% CI 0.95-1.00) in the validation cohort. Conclusions: HFUS provides valuable information for preoperative evaluation of skin tumors. The nomogram demonstrates good diagnostic performance and clinical utility for distinguishing malignant from benign skin tumors.

Indexed as

benign tumorhigh-frequency ultrasoundmalignancynomogramskin tumor

Identifiers

PMID42358537
PMCPMC13290524

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