Distinguishing benign from malignant thyroid nodules via virtual biopsy: a study on using quantitative parameters and classical radiomics features from dual-energy CT imaging

The fusion model, which combined the NIC and the optimal multi-image radiomics model, demonstrates strong diagnostic capability in predicting benign and malignant thyroid nodules.

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Publication Details

Journal
BMC Cancer
Published
2025-11-25
DOI
https://doi.org/10.1186/s12885-025-15261-y
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Distinguishing benign from malignant thyroid nodules via virtual biopsy: a study on using quantitative parameters and classical radiomics features from dual-energy CT imaging

Mengting Hu, Jianying Li, Yijun Liu, Jingyi Zhang et al.
BMC Cancer
Advanced X-ray and CT Imaging
article

Distinguishing benign from malignant thyroid nodules via virtual biopsy: a study on using quantitative parameters and classical radiomics features from dual-energy CT imaging

Mengting Hu, Jianying Li, Yijun Liu, Jingyi Zhang, Chuan Du, Jian He, Jiageng Shen, Qiye Cheng
article en

Abstract

The fusion model, which combined the NIC and the optimal multi-image radiomics model, demonstrates strong diagnostic capability in predicting benign and malignant thyroid nodules.

BMC CancerVol. 25(1)
Dalian Medical University (CN), First Affiliated Hospital of Dalian Medical University (CN)
Openalex Percentile: Top 65%
Advanced X-ray and CT Imaging
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