The capability of deep-radiomics to predict pathological response to neoadjuvant immunochemotherapy in non–small cell lung cancer: a retrospective multicenter study

BackgroundTo establish a predictive model that combines radiomics, deep learning and clinical features for predicting the pathological complete response (pCR) of non-small cell lung cancer (NSCLC) patients after neoadjuvant immunochemotherapy (NIT).MethodsWe retrospectively collected patients from t...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Yuanxin Ye, Yuchi Tian, Lingling Wang, Zihan Xi, Yangfan Zhang, Tong Zhou, Zhenhua Zhao, Yifeng Zheng, Xiaoyun Liang, Haitao Jiang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2026-02-01
Reeks:	Frontiers in Immunology
Onderwerpen:	deep learning delta-radiomics neoadjuvant immunochemotherapy NSCLC pathological complete response
Online toegang:	https://www.frontiersin.org/articles/10.3389/fimmu.2026.1770042/full
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!