Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA199

Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA199

Abstract Background Immunotherapy and radiotherapy play crucial roles in the transformation therapy of locally advanced pancreatic cancer; however, the exploration of effective predictive biomarkers has been unsatisfactory. With the rapid development of radiomics, next-generation sequencing, and mac...

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Bibliographic Details
Main Authors: Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Cancer Cell International
Subjects:
Radiomics
18F-FDG PET/CT
Feature selection
Machine learning
Online Access:https://doi.org/10.1186/s12935-025-03639-8
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https://doi.org/10.1186/s12935-025-03639-8

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