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ArticleCancer management and research2026

Development and Validation of a Clinical Radiomics Nomogram for Predicting Early Recurrence After Microwave Ablation in Hepatocellular Carcinoma Patients With Type 2 Diabetes.

Ze Sun, Neng Wang, Xufan Wu, Tianyi Wang, Dong Liu, Yiran Zou, Ruilin He, Ningyang Jia

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Article in Cancer management and research, 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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4 · The record

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5 · Who and what money

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8 authors.

Ze Sun *Department of Imaging Medicine and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Neng Wang *Department of Ultrasound Interventional Department, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Xufan Wu *Department of Imaging Medicine and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Tianyi WangDepartment of Imaging Medicine and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Dong LiuDepartment of Imaging Medicine and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Yiran ZouDepartment of Ultrasound Interventional Department, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Ruilin HeDepartment of Imaging Medicine and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.
Ningyang JiaDepartment of Imaging Medicine and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, People's Republic of China.ORCID 0000-0001-9587-3637

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a non-invasive model for predicting early recurrence (ER) after microwave ablation (MWA) in patients with hepatocellular carcinoma (HCC) and comorbid type 2 diabetes (T2D). Methods: This retrospective study enrolled 186 HCC patients with T2D who underwent MWA and were divided into training (n=149) and validation (n=37) cohorts. Preoperative clinical parameters and portal-venous phase MRI radiomic features were extracted. A radiomics score (RAD -score) was constructed using the K-nearest neighbors (KNN) algorithm after feature selection. A clinical model was built using logistic regression, and a nomogram integrating clinical factors and the RAD -score was established. Model performance was evaluated using ROC curves, calibration curves, and decision curve analysis (DCA). Kaplan--Meier curves, pathological analysis, and immunohistochemistry validated prognostic stratification. Results: Four core radiomic features were identified. The combined nomogram achieved AUCs of 0.877 (training) and 0.846 (validation), outperforming the clinical (AUC 0.718) and radiomics (AUC 0.774) models alone. In the validation cohort, the sensitivity, specificity, and negative predictive value were 80.0%, 83.8%, and 90.1%, respectively. DCA showed a significant net benefit across threshold probabilities of 0.1-0.9. High-risk patients had a 5.8-fold (training) and 2.51-fold (validation) higher recurrence risk with significantly shorter progression-free survival. Pathological and immunohistochemical analyses confirmed more aggressive tumor features (higher rates of microvascular invasion, poor differentiation, thick-trabecular type, CD34 expression, and glypican-3 expression) in the high-risk group. Conclusion: The nomogram provides a satisfactory prediction of early recurrence within two years after MWA in HCC patients with T2D, enabling individualized postoperative surveillance and intervention.

Indexed as

early recurrencehepatocellular carcinomamicrowave ablationradiomics nomogramtype 2 diabetes

Identifiers

PMID42483272
PMCPMC13387203

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