ArticleRadiology2017
Idiopathic Pulmonary Fibrosis: Data-driven Textural Analysis of Extent of Fibrosis at Baseline and 15-Month Follow-up.
Registry-linked trialOpen access · greenAbstract read
In one paragraph
Article in Radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06323876 (The Role of Quantitative CT and Radiomic Biomarkers for Precision Medicine in Pulmonary Fibrosis), which is not on this map. Cited by 86 papers, 2 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
11.4field-weighted citation impact, top 1% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Role of Quantitative CT and Radiomic Biomarkers for Precision Medicine in Pulmonary Fibrosis
Who cites it
86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 178 citations in OpenAlex.
- A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Idiopathic Pulmonary Fibrosis (an Update) and Progressive Pulmonary Fibrosis in Adults: An Official ATS/ERS/JRS/ALAT Clinical Practice Guideline.American journal of respiratory and critical care medicine · 2022Guideline
- Prospective Identification of Subclinical Interstitial Lung Disease in a Rheumatoid Arthritis Cohort Is Associated with theAmerican journal of respiratory and critical care medicine · 2022Trial
- PulmonaryEuropean journal of nuclear medicine and molecular imaging · 2018Trial
- The value of imaging and clinical outcomes in a phase II clinical trial of a lysophosphatidic acid receptor antagonist in idiopathic pulmonary fibrosis.Therapeutic advances in respiratory diseaseTrial
- Contemporary Concise Review 2025: Interstitial Lung Disease.Respirology (Carlton, Vic.) · 2026Review
- Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.Respirology (Carlton, Vic.) · 2026Article
- Lobar-level radiomic clustering reveals background lung changes associated with lung cancer risk: a new perspective for early screening.Insights into imaging · 2026Article
- Sputum lautropia is decreased in rheumatoid arthritis-associated pulmonary fibrosis.Arthritis research & therapy · 2026Article
- PCSK6 and clinical outcomes in the Pulmonary Fibrosis Foundation Patient Registry.Respiratory research · 2026Article
- Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.Journal of rheumatic diseases · 2026Review
- Radiomic profiling of chest CT in a cohort of sarcoidosis cases.Scientific reports · 2026Article
- Development of imaging protocol and radiomics-based nomogram for assessing lesion reversibility in connective tissue disease-associated interstitial lung disease.BMC medical imaging · 2026Article
- Risk factors and prognostic indicators for progressive fibrosing interstitial lung disease: a deep learning-based CT quantification approach.European radiology · 2025Article
- Associations of interstitial lung disease subtype and CT pattern with lung function and survival.Thorax · 2025Article
- Prognostic Impact of Quantitative CT Disease Extent and Pattern in Hypersensitivity Pneumonitis.medRxiv : the preprint server for health sciences · 2025Article
- A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2025Article
- Prognostication in patients with idiopathic pulmonary fibrosis using quantitative airway analysis from HRCT: a retrospective study.The European respiratory journal · 2025Article
- Article
- Associations of albuminuria with interstitial lung abnormalities in older community-dwelling adults confounded by age.ERJ open research · 2025Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 1 country.
Stephen M HumphriesFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Kunihiro YagihashiFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Jason HuckleberryFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Byung-Hak RhoFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Joyce D SchroederFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).ORCID 0000-0002-7451-4886
Matthew StrandFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Marvin I SchwarzFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Kevin R FlahertyFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Ella A KazerooniFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
Edwin J R van BeekFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
David A LynchFrom the Department of Radiology (S.M.H., D.A.L.) and Division of Biostatistics and Bioinformatics (M.S.), National Jewish Health, 1440 Jackson St, Denver, CO 80206-2761; Department of Radiology, St. Marianna University School of Medicine, Kawasaki, Japan (K.Y.); Department of Radiology, Kaiser Permanente, Denver, Colo (J.H.); Department of Radiology, Keimyung University School of Medicine, Daegu, Republic of Korea (B.H.R.); Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah (J.D.S.); Division of Pulmonary Sciences & Critical Care Medicine, University of Colorado, Aurora, Colo (M.I.S.); Departments of Pulmonology (K.R.F.) and Radiology (E.A.K.), University of Michigan, Ann Arbor, Mich; and Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, Scotland (E.J.R.v.B.).
St. Marianna University School of Medicine · JP
Funding
Longitudinal, computer assisted analysis in IPFR01HL091743 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FLAHERTY, KEVIN R · 2008 to 2011
$1.6MMedical Research Council G0701127NHLBI NIH HHS R01 HL091743
Abstract
Purpose To evaluate associations between pulmonary function and both quantitative analysis and visual assessment of thin-section computed tomography (CT) images at baseline and at 15-month follow-up in subjects with idiopathic pulmonary fibrosis (IPF). Materials and Methods This retrospective analysis of preexisting anonymized data, collected prospectively between 2007 and 2013 in a HIPAA-compliant study, was exempt from additional institutional review board approval. The extent of lung fibrosis at baseline inspiratory chest CT in 280 subjects enrolled in the IPF Network was evaluated. Visual analysis was performed by using a semiquantitative scoring system. Computer-based quantitative analysis included CT histogram-based measurements and a data-driven textural analysis (DTA). Follow-up CT images in 72 of these subjects were also analyzed. Univariate comparisons were performed by using Spearman rank correlation. Multivariate and longitudinal analyses were performed by using a linear mixed model approach, in which models were compared by using asymptotic χ
Indexed as
AdultAgedAged, 80 and overFemaleHumansIdiopathic Pulmonary FibrosisLungMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedRespiratory Function TestsRetrospective StudiesTomography, X-Ray Computed
Identifiers
What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
NCT06323876ClinicalTrials.gov
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.