Machine learning based on radiomics for discriminating sellar region langerhans cell histiocytosis from germ cell tumors

BackgroundDifferentiating sellar region germ cell tumors (GCTs) from Langerhans cell histiocytosis (LCH) is challenging due to highly similar MRI features, especially in tumor marker-negative patients. In this study, we aimed to develop and validate a radiomics model to distinguish tumor marker-nega...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Hongting Jiang, Zanyong Tong, Yu Luo, Zhenxian Li, Lanxue Shi, Lusheng Li, Yuting Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-04-01
coleção:	Frontiers in Pediatrics
Assuntos:	germ cell tumors (GCTs) langerhans cell histiocytosis (LCH) machine learning magnetic resonance imaging (MRI) radiomics sellar region tumors
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fped.2026.1775150/full
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!