Take CT, get PET free: AI-powered breakthrough in lung cancer diagnosis and prognosis.

Wang, Tonghe; Yang, Xiaofeng

Wang, Tonghe; Yang, Xiaofeng.

Afiliación

Wang T; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: wangt8@mskcc.org.
Yang X; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA. Electronic address: xiaofeng.yang@emory.edu.

Cell Rep Med ; 5(4): 101486, 2024 Apr 16.

Article en En | MEDLINE | ID: mdl-38631288

ABSTRACT

ABSTRACT

PET scans provide additional clinical value but are costly and not universally accessible. Salehjahromi et al.1 developed an AI-based pipeline to synthesize PET images from diagnostic CT scans, demonstrating its potential clinical utility across various clinical tasks for lung cancer.

Asunto(s)

Neoplasias Pulmonares; Humanos; Fluorodesoxiglucosa F18; Tomografía Computarizada por Rayos X/métodos; Pronóstico; Inteligencia Artificial

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Pulmonares Límite: Humans Idioma: En Revista: Cell Rep Med Año: 2024 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google