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

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

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Xehetasun bibliografikoak

Egile Nagusiak:	Hao-yu Liang, Shi-feng Yang, Hong-mei Zou, Feng Hou, Li-sha Duan, Chen-cui Huang, Jing-xu Xu, Shun-li Liu, Da-peng Hao, He-xiang Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Frontiers Media S.A. 2022-06-01
Saila:	Frontiers in Oncology
Gaiak:	magnetic resonance imaging deep learning radiomics nomogram soft tissue sarcomas lung metastasis
Sarrera elektronikoa:	https://www.frontiersin.org/articles/10.3389/fonc.2022.897676/full
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