Ultra-Low Dose Thoracic Computed Tomography–derived Morphomics in Patients with Cystic Fibrosis on Elexacaftor/Tezacaftor/Ivacaftor

<b>Rationale:</b> In cystic fibrosis (CF), body composition alterations are observed. The prevalence of obesity in CF is increasing, with evidence suggesting a subsequent increase in cardiometabolic risk. We sought to assess body composition using analytic morphomics from ultra-low-dose thoracic computed tomography (CT) scans in patients with CF on the triple CFTR (cystic fibrosis transmembrane conductance regulator) modulator therapy elexacaftor/tezacaftor/ivacaftor (ETI). <b>Objectives:</b> Our objective was to use analytical morphomics on routine ultra-low-dose CTs to assess patterns of change in body composition in patients with CF on ETI therapy. <b>Methods:</b> Forty-two patients with CF on ETI who had baseline and follow-up ultra-low-dose thoracic CT imaging were retrospectively analyzed. The CTs were acquired at a radiation dose equivalent to two frontal chest X-rays using our previously published acquisition parameters. The Bhalla score was used as a marker of structural lung disease severity. Analytic morphomics variables, including cross-sectional area and attenuation of pectoralis muscle, visceral fat (epicardial and upper abdominal), and subcutaneous fat, were extracted using the validated image segmentation software CoreSlicer. Paired-samples mean testing (Wilcoxon matched-pairs signed-rank test) and Spearman rank correlation analyses were performed. <b>Results:</b> Total Bhalla scores significantly improved over time in patients on ETI (<i>P</i> < 0.0001). In addition, body composition also changed, with an increase in the cross-sectional area of subcutaneous and epicardial visceral fat (<i>P</i> < 0.0001 and <i>P</i> = 0.0062, respectively). In those with a normal BMI at follow-up, epicardial and subcutaneous fat had also increased significantly in the interval (<i>P</i> = 0.0066 and <i>P</i> = 0.0002, respectively). <b>Conclusions:</b> In CF, ETI produced a significant improvement in structural lung disease over time; however, it also resulted in an increase in visceral and subcutaneous fat. The analytic morphomics methodology presented herein may help identify those patients for aggressive primary prevention strategies and permit the creation of more personalized nutritional plans.

Authors

Institutions

Publication Details

Journal
Annals of the American Thoracic Society
Published
2025-06-30
DOI
https://doi.org/10.1513/annalsats.202411-1151oc
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultra-Low Dose Thoracic Computed Tomography–derived Morphomics in Patients with Cystic Fibrosis on Elexacaftor/Tezacaftor/Ivacaftor

K. Deasy, Barry J. Plant, Michael Waldron, P T Regan et al.
2 links
Annals of the American Thoracic Society
Atomic and Subatomic Physics Research
article

Ultra-Low Dose Thoracic Computed Tomography–derived Morphomics in Patients with Cystic Fibrosis on Elexacaftor/Tezacaftor/Ivacaftor

K. Deasy, Barry J. Plant, Michael Waldron, P T Regan, Hisham R. Ibrahim, Spiros Blackburn, Sahil S Shet, David Ryan, Michael M. Maher, Alexander T O' Mahony
article en

Abstract

<b>Rationale:</b> In cystic fibrosis (CF), body composition alterations are observed. The prevalence of obesity in CF is increasing, with evidence suggesting a subsequent increase in cardiometabolic risk. We sought to assess body composition using analytic morphomics from ultra-low-dose thoracic computed tomography (CT) scans in patients with CF on the triple CFTR (cystic fibrosis transmembrane conductance regulator) modulator therapy elexacaftor/tezacaftor/ivacaftor (ETI). <b>Objectives:</b> Our objective was to use analytical morphomics on routine ultra-low-dose CTs to assess patterns of change in body composition in patients with CF on ETI therapy. <b>Methods:</b> Forty-two patients with CF on ETI who had baseline and follow-up ultra-low-dose thoracic CT imaging were retrospectively analyzed. The CTs were acquired at a radiation dose equivalent to two frontal chest X-rays using our previously published acquisition parameters. The Bhalla score was used as a marker of structural lung disease severity. Analytic morphomics variables, including cross-sectional area and attenuation of pectoralis muscle, visceral fat (epicardial and upper abdominal), and subcutaneous fat, were extracted using the validated image segmentation software CoreSlicer. Paired-samples mean testing (Wilcoxon matched-pairs signed-rank test) and Spearman rank correlation analyses were performed. <b>Results:</b> Total Bhalla scores significantly improved over time in patients on ETI (<i>P</i> < 0.0001). In addition, body composition also changed, with an increase in the cross-sectional area of subcutaneous and epicardial visceral fat (<i>P</i> < 0.0001 and <i>P</i> = 0.0062, respectively). In those with a normal BMI at follow-up, epicardial and subcutaneous fat had also increased significantly in the interval (<i>P</i> = 0.0066 and <i>P</i> = 0.0002, respectively). <b>Conclusions:</b> In CF, ETI produced a significant improvement in structural lung disease over time; however, it also resulted in an increase in visceral and subcutaneous fat. The analytic morphomics methodology presented herein may help identify those patients for aggressive primary prevention strategies and permit the creation of more personalized nutritional plans.

Annals of the American Thoracic SocietyVol. 22(11)
Johns Hopkins University (US), University College Cork (IE), Johns Hopkins Medicine (US), Cystic Fibrosis Trust (GB), Cork University Hospital (IE)
Openalex Percentile: Top 88%
Atomic and Subatomic Physics Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.