Ct-based subregional radiomics using hand-crafted and deep learning features for prediction of therapeutic response to anti-PD1 therapy in NSCLC-Reference-Cited by-同舟云学术

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Ct-based subregional radiomics using hand-crafted and deep learning features for prediction of therapeutic response to anti-PD1 therapy in NSCLC

Published:2024-01 Issue: Volume:117 Page:103200
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Hu Yue,Jiang Tao,Wang Huan,Song Jiangdian,Yang Zhiguang^ORCID,Wang Yan,Su Juan,Jin Meiqi,Chang Shijie,Deng Kexue,Jiang Wenyan

Funder

Dalian University of Technology

Natural Science Foundation of Liaoning Province

China Medical University

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Radiology, Nuclear Medicine and imaging,General Medicine,Biophysics

Reference55 articles.

1. Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using Nivolumab;Nardone;Oncol Lett,2020

2. Survival by histologic subtype in stage IV nonsmall cell lung cancer based on data from the Surveillance, Epidemiology and End Results Program;Cetin;Clin Epidemiol,2011

3. Molecular pathways: next-generation immunotherapy–inhibiting programmed death-ligand 1 and programmed death-1;Chen;Clin Cancer Res,2012

4. Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomised controlled trial;Rittmeyer;Lancet,2017

5. Elements of cancer immunity and the cancer-immune set point;Chen;Nature,2017

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