The predictive value of radiomics-based machine learning for peritoneal metastasis in gastric cancer patients: a systematic review and meta-analysis

BACKGROUND: For patients with gastric cancer (GC), effective preoperative identification of peritoneal metastasis (PM) remains a severe challenge in clinical practice. Regrettably, effective early identification tools are still lacking up to now. With the popularization and application of radiomics...

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Detalles Bibliográficos
Autores principales: Zhang, Fan, Wu, Guoxue, Chen, Nan, Li, Ruyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352083/
https://www.ncbi.nlm.nih.gov/pubmed/37465109
http://dx.doi.org/10.3389/fonc.2023.1196053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352083/
https://www.ncbi.nlm.nih.gov/pubmed/37465109
http://dx.doi.org/10.3389/fonc.2023.1196053

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