Evidence map›Paper›PMID 41526163›Full record

ArticleThorax2026

Elastic parametric response mapping: quantitative CT scoring for local COPD severity.

Wassim W Labaki, Sundaresh Ram, Ali Namvar, Alexander J Bell, Benjamin A Hoff, Ella A Kazerooni, Stefanie Galban, Fernando J Martinez, Charles R Hatt, Susan Murray and 5 more

Abstract read
In one paragraph

Article in Thorax, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Wassim W LabakiDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Sundaresh RamDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia, USA.
Ali NamvarDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Alexander J BellDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Benjamin A HoffDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Ella A KazerooniDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Stefanie GalbanDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Fernando J MartinezDivision of Pulmonary, Allergy and Critical Care Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Charles R Hatt4D Medical Inc, Woodland Hills, California, USA.
Susan MurrayDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Evgeny M MirkesSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.
Alexander N GorbanSchool of Computing and Mathematical Sciences, University of Leicester, Leicester, UK.
Andrei ZinovyevIn Silico R & D, Evotec France SAS, Toulouse, France.
MeiLan K HanDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Craig J GalbanDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA cgalban@med.umich.edu.ORCID http://orcid.org/0000-0001-5596-7487

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
GENETIC EPIDEMIOLOGY OF COPD (COPD GENE) TASK A: STUDY VISIT 4, COLLECTION OF COPDGENE STUDY DATA ANDBIOSPECIMENS AND OVERSIGHT OF THE COPDGENE STUDY75N92023D00011 · NHLBI · NATIONAL JEWISH HEALTH · PI NEWMAN, LEE S · 2023 to 2025
$29.6M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Prediction of COPD Progression by PRMR01HL150023 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALBAN, CRAIG J, HAN, MEILAN K · 2020 to 2023
$2.8M
An Early Imaging Marker of EmphysemaR01HL139690 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALBAN, CRAIG J · 2019 to 2022
$1.9M
Defining Pathways in COPD Patient Oriented ResearchK24HL138188 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MeiLan K Han · 2017 to 2026
$1.2M
NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS K24 HL138188NHLBI NIH HHS R01 HL139690NHLBI NIH HHS R01 HL150023NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

backgroundCurrent quantitative chest CT techniques improve chronic obstructive pulmonary disease (COPD) phenotyping but do not capture spatial variability and potentially reversible disease in local lung parenchyma.

methodsApplying elastic principal graphing to CT scans from Genetic Epidemiology of COPD study participants (age 45-80 years; ≥10 pack-years), we developed elastic parametric response mapping (ePRM), a tiered scoring system (tiers 0-3 and tier Op, ie, lung opacities) that classifies lung subvolumes based on their relative composition of normal lung, emphysema, small airways disease and parenchymal disease. For 3631 participants with longitudinal data, we evaluated how relative tier assignment and mean tier position of subvolumes changed over 5 years and how they associated with forced expiratory volume in 1 s (FEV

resultsThe proportion of tier 0 subvolumes decreased with worsening airflow obstruction, while tier 2 and 3 proportions increased. Tier 1 proportions were similar in GOLD 1-2 (25.7%) and GOLD 3-4 (28.1%), with over half of subvolumes remaining in tier 1 or reverting to tier 0 at year 5. In contrast to tiers 0 and 2, baseline mean tier 1 position was strongly predictive of reassignment to more advanced tiers at year 5 in participants without airflow obstruction, GOLD 1-2 and GOLD 3-4 (area under the curves (95% CIs) 0.86 (0.85 to 0.87), 0.90 (0.89 to 0.91) and 0.92 (0.90 to 0.93), respectively). A higher per cent volume of lung retained in tier 1 was associated with less FEV

conclusionCT ePRM categorises local lung tissue into distinct and potentially reversible tiers of disease severity.

Indexed as

LungPulmonary Disease, Chronic ObstructiveTomography, X-Ray ComputedAgedAged, 80 and overFemaleForced Expiratory VolumeHumansMaleMiddle AgedSeverity of Illness IndexSpirometryEmphysemaImaging/CT MRI etcPulmonary Disease, Chronic Obstructive

Identifiers

PMID41526163
PMCPMC12990826

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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.