Primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical model for predicting lymph node metastasis in early-stage cervical cancer

Abstract Objectives To develop and validate a primary tumor-derived, multiparametric MRI-based deep learning-radiomics-clinical (DLRC) model for predicting pelvic lymph node metastasis (LNM) in early-stage cervical cancer. Materials and methods This retrospective five-center study selected 1095 pati...

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Principais autores:	Yu Hao Bao, Yan Chen, Mei Ling Xiao, Yong Ai Li, Feng Hua Ma, Hai Ming Li, Jing Yan Wu, Guo Fu Zhang, Jin Wei Qiang
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2026-02-01
Series:	Insights into Imaging
Assuntos:	Uterine cervical neoplasms Lymphatic metastasis Magnetic resonance imaging Radiomics Deep learning
Acceso en liña:	https://doi.org/10.1186/s13244-026-02211-w
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