Measurement Accuracy and Repeatability of RECIST-Defined Pulmonary Lesions and Lymph Nodes in Ultra-Low-Dose CT Based on Deep Learning Image Reconstruction

SIMPLE SUMMARY: This study compared the measured diameters of Response Evaluation Criteria in Solid Tumors (RECIST)-defined chest target lesions and lymph nodes between deep learning image reconstruction (DLIR)-based ultra-low-dose CT (ULDCT) and contrast-enhanced CT and found that the measured diam...

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Detalles Bibliográficos
Autores principales: Zhao, Keke, Jiang, Beibei, Zhang, Shuai, Zhang, Lu, Zhang, Lin, Feng, Yan, Li, Jianying, Zhang, Yaping, Xie, Xueqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599467/
https://www.ncbi.nlm.nih.gov/pubmed/36291800
http://dx.doi.org/10.3390/cancers14205016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9599467/
https://www.ncbi.nlm.nih.gov/pubmed/36291800
http://dx.doi.org/10.3390/cancers14205016

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