A nomogram based on dual-layer spectral detector CT-derived 40KeV virtual monoenergetic images for preoperative prediction of simultaneous distant metastasis in colorectal cancer

The nomogram incorporating radiomics features of DLSCT-derived 40KeV-VMI, spectral parameters and clinical features showed excellent predictive performance in preoperatively predicting SDM in CRC, which can help clinicians make accurate individualized treatment plans.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-11-11
DOI
https://doi.org/10.1186/s12880-025-02008-1
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36
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article

A nomogram based on dual-layer spectral detector CT-derived 40KeV virtual monoenergetic images for preoperative prediction of simultaneous distant metastasis in colorectal cancer

Xuelian Bian, Guangqiang Chen, Qi Sun, Feiwen Feng et al.
1 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.36
article

A nomogram based on dual-layer spectral detector CT-derived 40KeV virtual monoenergetic images for preoperative prediction of simultaneous distant metastasis in colorectal cancer

Xuelian Bian, Guangqiang Chen, Qi Sun, Feiwen Feng, Shuangqing Chen
article en
1 citations

Abstract

The nomogram incorporating radiomics features of DLSCT-derived 40KeV-VMI, spectral parameters and clinical features showed excellent predictive performance in preoperatively predicting SDM in CRC, which can help clinicians make accurate individualized treatment plans.

BMC Medical ImagingVol. 25(1)
Soochow University (CN), Suzhou Municipal Hospital (CN), Second Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
Openalex Percentile: Top 14%
Radiomics and Machine Learning in Medical Imaging
1.36
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