Deep Learning Radiomics Nomogram to Predict Lung Metastasis in Soft-Tissue Sarcoma: A Multi-Center Study

OBJECTIVES: To build and evaluate a deep learning radiomics nomogram (DLRN) for preoperative prediction of lung metastasis (LM) status in patients with soft tissue sarcoma (STS). METHODS: In total, 242 patients with STS (training set, n=116; external validation set, n=126) who underwent magnetic res...

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Detalles Bibliográficos
Autores principales: Liang, Hao-yu, Yang, Shi-feng, Zou, Hong-mei, Hou, Feng, Duan, Li-sha, Huang, Chen-cui, Xu, Jing-xu, Liu, Shun-li, Hao, Da-peng, Wang, He-xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265249/
https://www.ncbi.nlm.nih.gov/pubmed/35814362
http://dx.doi.org/10.3389/fonc.2022.897676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265249/
https://www.ncbi.nlm.nih.gov/pubmed/35814362
http://dx.doi.org/10.3389/fonc.2022.897676

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