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Utility of PET/CT in the diagnosis and staging of lung cancer after ecobronchoscopy in mining population.

Authors :
López Zubizarreta M
Cordovilla Pérez R
Torracchi AM
Guevara Velázquez V
Source :
Medicina clinica [Med Clin (Barc)] 2022 Jan 21; Vol. 158 (2), pp. 65-69. Date of Electronic Publication: 2021 Jan 19.
Publication Year :
2022

Abstract

Introduction: Positron emission tomography (PET) with computerized axial tomography (CT) in a single device is known as PET/CT. It has been widely documented and validated, and it is currently a core part of the diagnosis and staging of lung cancer. However, its reliability has not been analysed in specific populations. The objective of this study is to determine the usefulness of PET/CT in patients exposed to mining activities in which an endobronchial ultrasound (EBUS) has been performed for the diagnosis and/or staging of lung cancer.<br />Patients and Methods: With a prospective and real-time database, all the patients who had undergone an EBUS with suspicion of lung cancer and who had previously undergone a PET/CT were selected. The observation unit was the lymph node and, based on their history of exposure to mining activities, the sample was divided into two categories, group 1: not exposed; and group 2: exposed. In each group, and with the results from anatomical pathology as a dependent variable, logistic models were established to look for independent risk factors for malignancy.<br />Results: In group 1, lymph nodes larger than 1 cm and PET/CT uptake with maximum standardized uptake value (SUVmax) over 2.5 were independent risk factors for malignancy. However, in group 2 (exposed patients), none of those factors were predictors for malignancy.<br />Discussion: In the population of individuals with occupational exposure to mining, PET/CT is an imaging technique with diagnostic limitations for lung cancer.<br /> (Copyright © 2020 Elsevier España, S.L.U. All rights reserved.)

Details

Language :
English; Spanish; Castilian
ISSN :
1578-8989
Volume :
158
Issue :
2
Database :
MEDLINE
Journal :
Medicina clinica
Publication Type :
Academic Journal
Accession number :
33478813
Full Text :
https://doi.org/10.1016/j.medcli.2020.11.032