A Deep Learning Radiomics Nomogram to Predict Response to Neoadjuvant Chemotherapy for Locally Advanced Cervical Cancer: A Two-Center Study

Purpose: This study aimed to establish a deep learning radiomics nomogram (DLRN) based on multiparametric MR images for predicting the response to neoadjuvant chemotherapy (NACT) in patients with locally advanced cervical cancer (LACC). Methods: Patients with LACC (FIGO stage IB-IIIB) who underwent...

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Detalles Bibliográficos
Autores principales: Zhang, Yajiao, Wu, Chao, Xiao, Zhibo, Lv, Furong, Liu, Yanbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047639/
https://www.ncbi.nlm.nih.gov/pubmed/36980381
http://dx.doi.org/10.3390/diagnostics13061073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047639/
https://www.ncbi.nlm.nih.gov/pubmed/36980381
http://dx.doi.org/10.3390/diagnostics13061073

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