Open AccessLung Density Analysis Using Quantitative Chest CT for Early Prediction of Chronic Lung Allograft Dysfunction
Author(s) -
Miho Horie,
Liran Levy,
Christian Houbois,
Pascal Salazar,
Tomohito Saito,
Mini Pakkal,
Ciara O’Brien,
Shailaja Sajja,
Kristy K. Brock,
Kazuhiro Yasufuku,
S. Keshavjee,
Narinder Paul,
T. Martinu
Publication year - 2019
Publication title -
transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/tp.0000000000002771
Subject(s) - medicine , lung , lung transplantation , receiver operating characteristic , radiology , retrospective cohort study , cohort , lung volumes , nuclear medicine , surgery
Chronic lung allograft dysfunction (CLAD) limits long-term survival after lung transplantation (LTx). Early detection or prediction of CLAD can lead to changes in patient management that, in turn, may improve prognosis. The purpose of this study was to investigate the utility of quantitative computed tomography (CT) lung density analysis in early prediction of CLAD.