Title
Quantitative perfusion scintigraphy or anatomic segment method in lung cancer resection Quantitative perfusion scintigraphy or anatomic segment method in lung cancer resection
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
article
Publication
Amsterdam ,
Subject
Human medicine
Source (journal)
Lung cancer: journal of the International Association for the Study of Lung Cancer / International Association for the Study of Lung Cancer [Aurora, Colo.] - Amsterdam
Volume/pages
74(2011) :2 , p. 212-218
ISSN
0169-5002
ISI
000296684300009
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Abstract
Background: Quantitative Perfusion Scintigraphy (QPS) and Anatomic Segment Method (ASM) are two techniques for estimating postoperative pulmonary function. QPS is gold standard, but holds disadvantages. Aim: Could ASM substitute QPS in the preoperative work-up of NSCLC? Methods: Retrospective study in patients with NSCLC or mesothelioma undergoing resection. FEV1 and DL,CO were estimated by QPS and ASM and compared to pulmonary function measured 3 months after resection. Correlation tests and Bland-Altman analyses were performed. Results: 40 patients (23 lobectomies, 14 pneumonectomies). Both methods correlated similarly with postoperative FEV(1) (QPS rho = 0.69; ASM rho = 0.75) and DL,CO (QPS rho = 0.70; ASM rho = 0.74). Correlation between both methods was high (ppoFEV(1)rho = 0.89; ppoDL,CO rho = 0.89). The same principles applied in a subgroup analysis of patients with COPD. Bland-Altman analyses showed that ASM underestimated postoperative FEV(1) and DL,CO more than QPS in all groups. Conclusion: QPS and ASM are remarkably similar in predicting postoperative pulmonary function. As ASM underestimates pulmonary function more, it could be a safe alternative from a cost-benefit point of view. Based on these results, it appears that QPS could be restricted to patients in whom ASM suggests functional inoperability, although further prospective studies are necessary. (C) 2011 Elsevier Ireland Ltd. All rights reserved.
E-info
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