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Computer grading of lung disease severity in patients with lymphangioleiomyomatosis referred for transplantation

Authors :
Angelo M. Taveira-DaSilva
Vissaagan Gopalakrishnan
Jianhua Yao
Marcus Y. Chen
Patricia Julien-Williams
Amanda M. Jones
Gustavo Pacheco-Rodriguez
Joel Moss
Source :
BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Objectives Lymphangioleiomyomatosis (LAM) patients with severe lung disease may be considered for lung transplantation. Clinical, physiologic, and quality of life data are usually employed for referral. The aim of this study was to determine whether computed tomographic measurement of lung volume occupied by cysts (cyst score) complemented clinical and physiologic data in supporting referral for transplantation. Methods Forty-one patients were studied. Pre-referral clinical data, pulmonary function tests, exercise testing, and high-resolution computed tomography (HRCT) scans were obtained. From HRCT, a computer-aided diagnostic program was employed to calculate cyst scores. These data were compared to those of 41 age-matched LAM patients not referred for lung transplantation. Results Cyst score, and % predicted FEV1 and DLCO were respectively, 48.1 ± 9.4%, 36.5 ± 9.1%, and 35.0 ± 10.7%. For the control group, cyst score, FEV1, and DLCO were respectively, 14.8 ± 8.3%, 77.2 ± 20.3%, and 66.7 ± 19.3%. Cyst score values showed a normal distribution. However, the frequency distribution of FEV1 was skewed to the right while the distribution of DLCO was bimodal. Correlations between cyst score and FEV1 and DLCO for the study group were respectively, r = − 0.319 and r = − 0.421. Conclusions LAM patients referred for lung transplantation had nearly 50% of lungs occupied by cysts. Correlations between cyst score and FEV1 or DLCO were weak; as shown previously, DLCO was better related to cyst number while FEV1 had a better association with cyst size. Given its normal distribution, cyst score measurements may assist in evaluation of pre-transplant severity of lung disease before referral for transplantation.

Details

Language :
English
ISSN :
14712466
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Pulmonary Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.60b5f634a12f4adeb77489c9b6463535
Document Type :
article
Full Text :
https://doi.org/10.1186/s12890-022-02123-7