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SEOM-SERAM-SEMNIM guidelines on the use of functional and molecular imaging techniques in advanced non-small-cell lung cancer.
- Source :
-
Radiologia [Radiologia (Engl Ed)] 2018 Jul - Aug; Vol. 60 (4), pp. 332-346. Date of Electronic Publication: 2018 May 26. - Publication Year :
- 2018
-
Abstract
- Imaging in oncology is an essential tool for patient management but its potential is being profoundly underutilized. Each of the techniques used in the diagnostic process also conveys functional information that can be relevant in treatment decision making. New imaging algorithms and techniques enhance our knowledge about the phenotype of the tumor and its potential response to different therapies. Functional imaging can be defined as the one that provides information beyond the purely morphological data, and include all the techniques that make it possible to measure specific physiological functions of the tumor, whereas molecular imaging would include techniques that allow us to measure metabolic changes. Functional and molecular techniques included in this document are based on multi-detector computed tomography (CT), 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), magnetic resonance imaging (MRI), and hybrid equipments, integrating PET with CT (PET/CT) or MRI (PET-MRI). Lung cancer is one of the most frequent and deadly tumors although survival is increasing thanks to advances in diagnostic methods and new treatments. This increased survival poises challenges in terms of proper follow-up and definitions of response and progression, as exemplified by immune therapy-related pseudoprogression. In this consensus document, the use of functional and molecular imaging techniques will be addressed to exploit their current potential and explore future applications in the diagnosis, evaluation of response and detection of recurrence of advanced NSCLC.<br /> (Copyright © 2018 SERAM. Publicado por Elsevier España, S.L.U. All rights reserved.)
Details
- Language :
- English; Spanish; Castilian
- ISSN :
- 2173-5107
- Volume :
- 60
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Radiologia
- Publication Type :
- Academic Journal
- Accession number :
- 29807678
- Full Text :
- https://doi.org/10.1016/j.rx.2018.01.007