Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis

Joseph Jacob; Brian J Bartholmai; Coline H M van Moorsel; Srinivasan Rajagopalan; Anand Devaraj; Hendrik W van Es; Teng Moua; Frouke T van Beek; Ryan Clay; Marcel Veltkamp; Maria Kokosi; Angelo de Lauretis; Eoin P Judge; Teresa M Jacob; Tobias Peikert; Ronald Karwoski; Fabien Maldonado; Elisabetta Renzoni; Toby M Maher; Andre Altmann; Athol U Wells

doi:10.1183/13993003.02341-2018

Longitudinal prediction of outcome in idiopathic pulmonary fibrosis using automated CT analysis

Eur Respir J. 2019 Sep 30;54(3):1802341. doi: 10.1183/13993003.02341-2018. Print 2019 Sep.

Authors

Joseph Jacob^{1

2}, Brian J Bartholmai³, Coline H M van Moorsel^{4

5}, Srinivasan Rajagopalan³, Anand Devaraj⁶, Hendrik W van Es⁷, Teng Moua⁸, Frouke T van Beek⁴, Ryan Clay⁸, Marcel Veltkamp^{4

5}, Maria Kokosi⁹, Angelo de Lauretis¹⁰, Eoin P Judge¹¹, Teresa M Jacob¹², Tobias Peikert⁸, Ronald Karwoski¹³, Fabien Maldonado¹⁴, Elisabetta Renzoni⁹, Toby M Maher^{15

16}, Andre Altmann², Athol U Wells⁹

Affiliations

¹ Dept of Respiratory Medicine, University College London, London, UK.
² Centre for Medical Image Computing, University College London, London, UK.
³ Dept of Radiology, Mayo Clinic Rochester, Rochester, MN, USA.
⁴ St Antonius ILD Center of Excellence, Dept of Pulmonology, St. Antonius Hospital, Nieuwegein, The Netherlands.
⁵ Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.
⁶ Dept of Radiology, Royal Brompton Hospital, London, UK.
⁷ Dept of Radiology, St. Antonius Hospital, Nieuwegein, The Netherlands.
⁸ Dept of Pulmonary Medicine, Mayo Clinic Rochester, Rochester, MN, USA.
⁹ Interstitial Lung Disease Unit, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
¹⁰ Division of Pneumology, "Guido Salvini" Hospital, Garbagnate Milanese, Italy.
¹¹ Dept of Respiratory Medicine, Aintree University Hospital, Liverpool, UK.
¹² Dept of Radiology, St Georges Hospital, London, UK j.jacob@ucl.ac.uk.
¹³ Dept of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, MN, USA.
¹⁴ Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
¹⁵ NIHR Respiratory Clinical Research Facility, Royal Brompton Hospital, London, UK.
¹⁶ Fibrosis Research Group, National Heart and Lung Institute, Imperial College, London, UK.

Abstract

Change in the vessel-related structures, a computer-derived CT variable, is a strong predictor of outcome in idiopathic pulmonary fibrosis and can increase power in future drug trials when used as a co-endpoint alongside forced vital capacity change http://bit.ly/2M7DfKS

Publication types

Letter
Research Support, Non-U.S. Gov't

MeSH terms

Humans
Idiopathic Pulmonary Fibrosis / diagnostic imaging*
Idiopathic Pulmonary Fibrosis / mortality
Idiopathic Pulmonary Fibrosis / therapy
Image Processing, Computer-Assisted / methods*
Linear Models
Pattern Recognition, Automated
Proportional Hazards Models
Tomography, X-Ray Computed*
Treatment Outcome
Vital Capacity

Abstract

Publication types

MeSH terms

Grants and funding