Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer

The spectral CT parameters of the primary colorectal tumor and the largest regional LNs, especially the LN-to-primary tumor ratio, have significant clinical value in predicting TDs in CRC.

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Publication Details

Journal
World Journal of Radiology
Published
2025-04-22
DOI
https://doi.org/10.4329/wjr.v17.i4.103359
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer

J. Li, Dinghua Xu, Yongqing Lai, Jiaying Zhang et al.
World Journal of Radiology
Radiomics and Machine Learning in Medical Imaging
article

Spectral computed tomography parameters of primary tumors and lymph nodes for predicting tumor deposits in colorectal cancer

J. Li, Dinghua Xu, Yongqing Lai, Jiaying Zhang, Haiyang Dai, Zhongcheng Liang
article en

Abstract

The spectral CT parameters of the primary colorectal tumor and the largest regional LNs, especially the LN-to-primary tumor ratio, have significant clinical value in predicting TDs in CRC.

World Journal of RadiologyVol. 17(4)
Guangdong Medical College (CN), Huizhou Central People's Hospital (CN), Affiliated Hospital of Guangdong Medical College Hospital (CN)
Openalex Percentile: Top 87%
Radiomics and Machine Learning in Medical Imaging
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