Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging

The proposed fusion model combing NIC and the optimal multi-image radiomics model in DECT showed good diagnostic capability in predicting muscle invasiveness of BCa.

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Publication Details

Journal
BMC Medical Imaging
Published
2024-09-16
DOI
https://doi.org/10.1186/s12880-024-01427-w
Citations
2
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.37
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article

Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging

Lei Liu, Mengting Hu, Jianying Li, Shigeng Wang et al.
2 citations
BMC Medical Imaging
Advanced X-ray and CT Imaging
0.37
article

Assessing muscle invasion in bladder cancer via virtual biopsy: a study on quantitative parameters and classical radiomics features from dual-energy CT imaging

Lei Liu, Mengting Hu, Jianying Li, Shigeng Wang, Xiaoyu Tong, Wei Wei, Yijun Liu, Jingyi Zhang, Qiye Cheng, Yong Fan
article en
2 citations

Abstract

The proposed fusion model combing NIC and the optimal multi-image radiomics model in DECT showed good diagnostic capability in predicting muscle invasiveness of BCa.

BMC Medical ImagingVol. 24(1)
Dalian Medical University (CN), First Affiliated Hospital of Dalian Medical University (CN)
Openalex Percentile: Top 44%
Advanced X-ray and CT Imaging
0.37
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