A statistical model to estimate lung density (LD) utilizing oscillometry (OS), biometrics (BM), patient reported outcomes (PRO) and pulmonary function tests (PFT)
Ronald Dandurand, Myriam Dandurand, Raul San Jose Estepar, Jean Bourbeau, David Eidelman
European Respiratory Journal 2016 48: PA4408; DOI: 10.1183/13993003.congress-2016.PA4408
Ronald Dandurand
1Respiratory Medicine, Montreal Chest Institute, Montreal, QCCanada
2Respiratory Medicine, Meakins-Chrsitie Laboratories, Montreal, QCCanada
4Respiratory Medicine, McGill University Health Centre, Montreal, QCCanada
Myriam Dandurand
2Respiratory Medicine, Meakins-Chrsitie Laboratories, Montreal, QCCanada
Raul San Jose Estepar
5Brigham and Woman's Hospital, Harvard Medical School, Boston, MAUnited States
Jean Bourbeau
1Respiratory Medicine, Montreal Chest Institute, Montreal, QCCanada
3Respiratory Medicine, Respiratory Epidemiology and Clinical Research Unit, Montreal, QCCanada
4Respiratory Medicine, McGill University Health Centre, Montreal, QCCanada
David Eidelman
2Respiratory Medicine, Meakins-Chrsitie Laboratories, Montreal, QCCanada
4Respiratory Medicine, McGill University Health Centre, Montreal, QCCanada
Vol 48 Issue suppl 60
Table of Contents
A statistical model to estimate lung density (LD) utilizing oscillometry (OS), biometrics (BM), patient reported outcomes (PRO) and pulmonary function tests (PFT)
Ronald Dandurand, Myriam Dandurand, Raul San Jose Estepar, Jean Bourbeau, David Eidelman
European Respiratory Journal Sep 2016, 48 (suppl 60) PA4408; DOI: 10.1183/13993003.congress-2016.PA4408
A statistical model to estimate lung density (LD) utilizing oscillometry (OS), biometrics (BM), patient reported outcomes (PRO) and pulmonary function tests (PFT)
Ronald Dandurand, Myriam Dandurand, Raul San Jose Estepar, Jean Bourbeau, David Eidelman
European Respiratory Journal Sep 2016, 48 (suppl 60) PA4408; DOI: 10.1183/13993003.congress-2016.PA4408