Quantitative chest CT for subtyping chronic lung allograft dysfunction and its association with survival. Issue 5 (10th April 2018)

• Record Type: Journal Article
• Authors: Horie, Miho; Salazar, Pascal; Saito, Tomohito; Binnie, Matthew; Brock, Kristy; Yasufuku, Kazuhiro; Azad, Sassan; Keshavjee, Shaf; Martinu, Tereza; Paul, Narinder
• Is Part Of: Clinical transplantation. Volume 32:Issue 5(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-04-10
• Subjects: bronchiolitis obliterans syndrome -- chronic lung allograft dysfunction -- computed tomography -- restrictive allograft syndrome; Transplantation of organs, tissues, etc -- Periodicals; 617.95
• DOI: 10.1111/ctr.13233
• Languages: English
• ISSNs: 0902-0063

Abstract

Abstract: Chronic lung allograft dysfunction (CLAD) is a major cause of mortality in lung transplant recipients. CLAD can be sub‐divided into at least 2 subtypes with distinct mortality risk characteristics: restrictive allograft syndrome (RAS), which demonstrates increased overall computed tomography (CT) lung density in contrast with bronchiolitis obliterans syndrome (BOS), which demonstrates reduced overall CT lung density. This study aimed to evaluate a reader‐independent quantitative density metric (QDM) derived from CT histograms to associate with CLAD survival. A retrospective study evaluated CT scans corresponding to CLAD onset using pulmonary function tests in 74 patients (23 RAS, 51 BOS). Two different QDM values (QDM1 and QDM2) were calculated using CT lung density histograms. Calculation of QDM1 includes the extreme edges of the histogram. Calculation of QDM2 includes the central region of the histogram. Kaplan‐Meier analysis and Cox regression analysis were used for CLAD prognosis. Higher QDM values were significantly associated with decreased survival. The hazard ratio for death was 3.2 times higher at the 75th percentile compared to the 25th percentile using QDM1 in a univariate model. QDM may associate with CLAD patient prognosis.