Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, USA.
Cell Rep Med. 2024 Apr 16;5(4):101486. doi: 10.1016/j.xcrm.2024.101486.
PET scans provide additional clinical value but are costly and not universally accessible. Salehjahromi et al. 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.
PET 扫描提供了额外的临床价值,但成本高昂,且并非普及可得。Salehjahromi 等人开发了一种基于人工智能的管道,可从诊断 CT 扫描中合成 PET 图像,证明其在肺癌的各种临床任务中具有潜在的临床应用价值。