Evidence map›Paper›PMID 42178804›Full record

ArticleAmerican journal of respiratory and critical care medicine2026

Meaningful thresholds for change in quantitative computed tomography-derived fibrosis extent in idiopathic pulmonary fibrosis.

Dong Yeong Kim, Min-Ju Kim, Yu Jin Oh, Hye Jeon Hwang, Eun Jin Chae, Sang Min Lee, Sohee Park, Jang Ho Lee, Joon Beom Seo, Ho Yun Lee and 2 more

Abstract readMulticenter Study
In one paragraph

Article in American journal of respiratory and critical care medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Dong Yeong KimDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Min-Ju KimDepartment of Clinical Epidemiology and Biostatistics, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Yu Jin OhDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Hye Jeon HwangDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Eun Jin ChaeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Sang Min LeeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-2173-2193
Sohee ParkDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Jang Ho LeeDivision of Pulmonology and Critical Care Medicine, Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Joon Beom SeoDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Ho Yun LeeDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
Ho Cheol KimDivision of Pulmonology and Critical Care Medicine, Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Jooae ChoeDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Funding

Korea government RS-2025-00556764Korea government RS-2025-16067456National Research Foundation of KoreaSamsung Medical Center SMO1250061
6 · The paper itself

Abstract

rationaleValidated thresholds for clinically meaningful change in quantitative computed tomography (QCT) for fibrosis extent across algorithms remain unclear in idiopathic pulmonary fibrosis (IPF).

objectivesTo evaluate minimal clinically important difference (MCID) for 1-year change in QCT metrics in IPF using different algorithms than previously reported and to identify prognostically meaningful thresholds for effective risk stratification.

methodsThis multicenter retrospective study included IPF patients with baseline and 1-year follow-up CT. Minimal clinically important differences for change in fibrosis score (ΔFS) derived from fully automated CT quantification were estimated using an anchor-based approach with 1-year changes in FVC and diffusing capacity for carbon monoxide (DLco), and a prognostic threshold was estimated using maximally selected log-rank statistics. Prognostic significance of ΔFS was evaluated in discovery and validation cohorts.

resultsThe discovery cohort included 524 patients (mean age = 66.8 years; 79% men), and the external validation cohort included 224 patients (mean age = 69.6 years; 83% men). Anchor-based MCIDs were 2.72% for FVC and 4.52% for DLco, with a prognostic threshold of 4.05%. In the discovery cohort, 1-year ΔFS were independently associated with transplant-free survival (TFS), with greater risk when ΔFS exceeded MCID or prognostic thresholds (all, P < .001). In the validation cohort, ΔFS remained associated with TFS (adjusted hazard ratio [aHR] = 1.11; 95% CI, 1.04-1.18), and all prespecified ΔFS thresholds were prognostic for overall TFS, with the prognostic threshold of ΔFS ≥ 4.05% showing the most consistent associations with overall (aHR = 2.78; 95% CI, 1.36-5.68) and 3-year TFS (aHR = 2.88; 95% CI, 1.11-7.48).

conclusionOne-year change in FS and its thresholds were significantly associated with TFS, supporting annual CT follow-up with predefined QCT thresholds for monitoring and risk stratification in IPF.

Indexed as

Idiopathic Pulmonary FibrosisTomography, X-Ray ComputedAgedAlgorithmsFemaleHumansMaleMiddle AgedMinimal Clinically Important DifferencePrognosisRetrospective StudiesRisk AssessmentVital Capacitycomputed tomographyidiopathic pulmonary fibrosisinterstitial lung diseasequantification

Identifiers

PMID42178804
PMCPMC13624801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.