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Diagnostics 2016, 6(4), 36; doi:10.3390/diagnostics6040036

The Role of PET/CT Molecular Imaging in the Diagnosis of Recurrence and Surveillance of Patients Treated for Non-Small Cell Lung Cancer

Nuclear Medicine Department, University Hospital Marqués de Valdecilla, Molecular Imaging IDIVAL, University of Cantabria, 39008 Santander, Spain
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Academic Editor: Andreas Kjaer
Received: 4 May 2016 / Revised: 8 September 2016 / Accepted: 22 September 2016 / Published: 30 September 2016
(This article belongs to the Special Issue Positron Emission Tomography (PET) in Cardiology and Oncology)
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Abstract

Non-small cell lung cancer (NSCLC) is the leading cause of cancer mortality worldwide and its prognosis remains poor. Molecular imaging with 18F-FDG PET/CT can metabolically characterize the nature of lesions as benign or malignant, allowing a better staging at the diagnosis of this kind of patient. This advantage can also be applied in the re-staging due to the suspicion of recurrent disease. Many patients have a recurrence of the disease, including surgically treated patients. In the current context, with new personalized oncological treatments, the surveillance for recurrence and its accurate diagnosis are crucial to improve their survival. In this paper, we revise the current knowledge about the clinical and molecular factors related to the recurrent disease. In the context of new, promising, available personalized treatments, the role of molecular imaging with PET/CT and 18F-FDG and non-18F-FDG radiotracers in the follow-up of NSCLC-treated patients is especially attractive and interesting. View Full-Text
Keywords: non-small lung cancer; recurrence; 18F-FDG; PET/CT; surveillance; follow-up non-small lung cancer; recurrence; 18F-FDG; PET/CT; surveillance; follow-up
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MDPI and ACS Style

Jiménez-Bonilla, J.F.; Quirce, R.; Martínez-Rodríguez, I.; De Arcocha-Torres, M.; Carril, J.M.; Banzo, I. The Role of PET/CT Molecular Imaging in the Diagnosis of Recurrence and Surveillance of Patients Treated for Non-Small Cell Lung Cancer. Diagnostics 2016, 6, 36.

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