Document Detail


A New Method to Predict Postoperative Lung Function: Quantitative Breath Sound Measurements.
MedLine Citation:
PMID:  23369350     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: Currently, predicted postoperative (PPO) lung function (forced expiratory volume in 1 second [PPO-FEV(1)] and diffusion capacity of the lung for carbon monoxide [PPO-Dlco]) estimated from spirometry and regional perfusion is used to select patients for lung resection. Vibration response imaging (VRI) analyzes lung sounds and quantifies regional acoustic energy. Single-center studies suggest that this noninvasive, radiation-free method of quantifying lung function is comparable to the reference standard. METHODS: A prospective, multiinstitutional United States study comparing VRI with perfusion in patient assessment for lung resection enrolled 163 patients, with 135 currently available for analysis. PPO values were calculated by subtracting the fraction of segments to be resected in a lung (113 lobectomies, 20 pneumonectomies) multiplied by the percentage of acoustic energy (VRI) or perfusion of that lung. We compared the two methods with each other, with actual postoperative pulmonary function tests, and the rate of complications as predicted by PPO values above or below 40%. RESULTS: Good agreement was found between calculated estimations of postoperative lung function using VRI and perfusion measurements (PPO-FEV(1)%: r = 0.95; -8% to 11.5%; PPO-Dlco: r = 0.97; -6.6% to 9.5%), although larger discrepancies were noted between the actual VRI and perfusion measurements (-17 to 24). The VRI and perfusion methods provided excellent agreement in categorization of patients into low or elevated risk based on PPO values of above or below 40% (95% for PPO-FEV(1)%; 94% for PPO-Dlco) and similar correlations with actual postoperative values (r = 0.74 and r = 0.67 for FEV(1); r = 0.72 and r = 0.67 for Dlco). CONCLUSIONS: VRI may offer a simple, noninvasive, and radiation-free alternative to lung scintigraphy for predicting postoperative lung function in patients with lung malignancies.
Authors:
Frank Detterbeck; Merav Gat; Daniel Miller; Seth Force; Cynthia Chin; Hiran Fernando; Joshua Sonett; Rodolfo Morice
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-29
Journal Detail:
Title:  The Annals of thoracic surgery     Volume:  -     ISSN:  1552-6259     ISO Abbreviation:  Ann. Thorac. Surg.     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-2-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  15030100R     Medline TA:  Ann Thorac Surg     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.
Affiliation:
Department of Surgery, Yale University School of Medicine, New Haven, Connecticut. Electronic address: frank.detterbeck@yale.edu.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Reoperation After Acute Type A Aortic Dissection Repair: A Series of 104 Patients.
Next Document:  A simplified subnormothermic machine perfusion system restores ischemically damaged liver grafts in ...