Incorporating SULF1 polymorphisms in a pretreatment CT-based radiomic model for predicting platinum resistance in ovarian cancer treatment

Incorporating SULF1 polymorphisms in a pretreatment CT-based radiomic model for predicting platinum resistance in ovarian cancer treatment

Objective: Early detection of platinum resistance for ovarian cancer treatment remains challenging. This study aims to develop a machine learning model incorporating genomic data such as Single-Nucleotide Polymorphisms (SNPs) of Human Sulfatase 1 (SULF1) with a CT radiomic model based on pre-treatme...

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Bibliographic Details
Main Authors: Xiaoping Yi, Yingzi Liu, Bolun Zhou, Wang Xiang, Aojian Deng, Yan Fu, Yuanzhe Zhao, Qianying Ouyang, Yujie Liu, Zeen Sun, Keqiang Zhang, Xi Li, Feiyue Zeng, Honghao Zhou, Bihong T. Chen
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Biomedicine & Pharmacotherapy
Subjects:
Radiomics
Radiogenomics
Pharmacogenomics
Platinum-resistance
Ovarian cancer
Human sulfatase 1 (SULF1)
Online Access:http://www.sciencedirect.com/science/article/pii/S0753332220312051

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http://www.sciencedirect.com/science/article/pii/S0753332220312051

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