Literature DB >> 23369350

A new method to predict postoperative lung function: quantitative breath sound measurements.

Frank Detterbeck1, Merav Gat, Daniel Miller, Seth Force, Cynthia Chin, Hiran Fernando, Joshua Sonett, Rodolfo Morice.   

Abstract

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.
Copyright © 2013 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23369350     DOI: 10.1016/j.athoracsur.2012.07.045

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  4 in total

1.  Predicting Postoperative Lung Function Following Lung Cancer Resection: A Systematic Review and Meta-analysis.

Authors:  Nicola K Oswald; James Halle-Smith; Rana Mehdi; Peter Nightingale; Babu Naidu; Alice M Turner
Journal:  EClinicalMedicine       Date:  2019-09-10

2.  Changes in Forced Expiratory Volume in 1 Second after Anatomical Lung Resection according to the Number of Segments.

Authors:  Sun-Geun Lee; Seung Hyong Lee; Sang-Ho Cho; Jae Won Song; Chang-Mo Oh; Dae Hyun Kim
Journal:  J Chest Surg       Date:  2021-12-05

3.  Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach.

Authors:  Md Zahangir Alam; Albino Simonetti; Raffaele Brillantino; Nick Tayler; Chris Grainge; Pandula Siribaddana; S A Reza Nouraei; James Batchelor; M Sohel Rahman; Eliane V Mancuzo; John W Holloway; Judith A Holloway; Faisal I Rezwan
Journal:  Front Digit Health       Date:  2022-02-08

4.  The correlation between lung sound distribution and pulmonary function in COPD patients.

Authors:  Masamichi Mineshita; Hirotaka Kida; Hiroshi Handa; Hiroki Nishine; Naoki Furuya; Seiichi Nobuyama; Takeo Inoue; Shin Matsuoka; Teruomi Miyazawa
Journal:  PLoS One       Date:  2014-09-22       Impact factor: 3.240

  4 in total

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