Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis

This study represents the first attempt to use an MLR model for the preoperative prediction of PCI in PMP patients. Nevertheless, the MLR model did not perform well enough in predicting preoperative PCI. In the future, more advanced statistical techniques and a radiomics-based CT-PCI-participated MLR model will be developed, which may enhance the predictive ability of PCI.

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Publication Details

Journal
Frontiers in Molecular Biosciences
Published
2024-12-23
DOI
https://doi.org/10.3389/fmolb.2024.1512937
Primary Topic
Intraperitoneal and Appendiceal Malignancies
Type
article
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article

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis

Ruiqing Ma, Xuekai Liu, Yueming Xu, Jie Liu et al.
Frontiers in Molecular Biosciences
Intraperitoneal and Appendiceal Malignancies
article

Prediction of preoperative peritoneal cancer index for pseudomyxoma peritonei by multiple linear regression analysis

Ruiqing Ma, Xuekai Liu, Yueming Xu, Jie Liu, Yunxiang Li, Mingjian Bai, Guowei Liang, Jing Feng, Na Zhao, Fucun Ma
article en

Abstract

This study represents the first attempt to use an MLR model for the preoperative prediction of PCI in PMP patients. Nevertheless, the MLR model did not perform well enough in predicting preoperative PCI. In the future, more advanced statistical techniques and a radiomics-based CT-PCI-participated MLR model will be developed, which may enhance the predictive ability of PCI.

Frontiers in Molecular BiosciencesVol. 11
University of Wisconsin–Madison (US), Aerospace Center Hospital (CN)
Openalex Percentile: Top 56%
Intraperitoneal and Appendiceal Malignancies
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