Construction of a predictive model for gastric cancer neuroaggression and clinical validation analysis: A single-center retrospective study

The combined model based on clinical features, spectral CT parameters and imaging data has good value for the preoperative prediction of gastric cancer neuroinvasion.

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Publication Details

Journal
World Journal of Gastrointestinal Surgery
Published
2024-08-16
DOI
https://doi.org/10.4240/wjgs.v16.i8.2602
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.40
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article

Construction of a predictive model for gastric cancer neuroaggression and clinical validation analysis: A single-center retrospective study

Lei Lan, Jing Han, Yanyan Liu, Yu-Yin Lan
1 citations
World Journal of Gastrointestinal Surgery
Radiomics and Machine Learning in Medical Imaging
0.40
article

Construction of a predictive model for gastric cancer neuroaggression and clinical validation analysis: A single-center retrospective study

Lei Lan, Jing Han, Yanyan Liu, Yu-Yin Lan
article en
1 citations

Abstract

The combined model based on clinical features, spectral CT parameters and imaging data has good value for the preoperative prediction of gastric cancer neuroinvasion.

World Journal of Gastrointestinal SurgeryVol. 16(8)
Peking University (CN), Peking University First Hospital (CN)
Good health and well-being
Openalex Percentile: Top 36%
Radiomics and Machine Learning in Medical Imaging
0.40
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