Construction and Validation of a Nomogram Based on Radiomics and Clinical Features for Discerning Malignant Soft Tissue Tumors

The diagnostic model based on clinical, US radiomic, and imaging features presented a high diagnostic performance in STTs, which can have potential value in further clinical utilization.

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Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2026-01-15
DOI
https://doi.org/10.2174/0115734056409620251212101514
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Construction and Validation of a Nomogram Based on Radiomics and Clinical Features for Discerning Malignant Soft Tissue Tumors

Nan Zhuang, Haiqin Xie, Yong Zhang, Licong Dong et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews
Radiomics and Machine Learning in Medical Imaging
article

Construction and Validation of a Nomogram Based on Radiomics and Clinical Features for Discerning Malignant Soft Tissue Tumors

Nan Zhuang, Haiqin Xie, Yong Zhang, Licong Dong, Wangjie Wu, Chenyang Zhao, Lu Xie, Heng Lv, Desheng Sun
article en

Abstract

The diagnostic model based on clinical, US radiomic, and imaging features presented a high diagnostic performance in STTs, which can have potential value in further clinical utilization.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 22
Peking University Shenzhen Hospital (CN)
Openalex Percentile: Top 79%
Radiomics and Machine Learning in Medical Imaging
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