Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept

Author:

Salehjahromi MortezaORCID,Karpinets Tatiana V.,Sujit Sheeba J.,Qayati Mohamed,Chen Pingjun,Aminu Muhammad,Saad Maliazurina B.,Bandyopadhyay Rukhmini,Hong Lingzhi,Sheshadri Ajay,Lin Julie,Antonoff Mara B.,Sepesi Boris,Ostrin Edwin J.,Toumazis Iakovos,Huang Peng,Cheng Chao,Cascone Tina,Vokes Natalie I.,Behrens Carmen,Siewerdsen Jeffrey H.,Hazle John D.,Chang Joe Y.,Zhang Jianhua,Lu Yang,Godoy Myrna C.B.,Chung Caroline,Jaffray David,Wistuba Ignacio,Lee J. Jack,Vaporciyan Ara A.,Gibbons Don L.,Gladish Gregory,Heymach John V.,Wu Carol C.,Zhang Jianjun,Wu JiaORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Reference60 articles.

1. Recommendations on the use of 18F-FDG PET in oncology;Fletcher;J. Nucl. Med.,2008

2. Assessment of indeterminate pulmonary nodules detected in lung cancer screening: Diagnostic accuracy of FDG PET/CT;Garcia-Velloso;Lung Cancer,2016

3. Non–small cell lung cancer: prospective comparison of integrated FDG PET/CT and CT alone for preoperative staging;Shim;Radiology,2005

4. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors;Wahl;J. Nucl. Med.,2009

5. Addressing global inequities in positron emission tomography-computed tomography (PET-CT) for cancer management: a statistical model to guide strategic planning;Gallach;Med. Sci. Mon. Int. Med. J. Exp. Clin. Res.,2020

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