Evidence map›Paper›PMID 42094132›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Feature-Based Parametric Response Mapping on Thoracic Computed Tomography for Robust Disease Classification in COPD.

Ali Namvar, Bingzhao Shan, Benjamin Hoff, Wassim W Labaki, Susan Murray, Alexander J Bell, Stefanie Galban, Ella A Kazerooni, Fernando J Martinez, Charles R Hatt and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

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.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ali NamvarDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Bingzhao ShanDepartment of Computer Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Benjamin HoffDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Wassim W LabakiDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Susan MurrayDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA.
Alexander J BellDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Stefanie GalbanDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Ella A KazerooniDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Fernando J MartinezDepartment of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, UMass Chan Medical School-UMass Memorial Health System, Worcester, MA 01655, USA.
Charles R HattDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
MeiLan K HanDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI 48109, USA.
Craig J GalbanDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.
Sundaresh RamDepartment of Radiology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0003-1828-9722

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
Parametric Response Mapping (PRM) for the detection of chronic lung injury in hematopoietic cell transplant recipientsR01HL162661 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALBAN, CRAIG J, YANIK, GREGORY A · 2022 to 2025
$3.1M
NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS R01 HL162661NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

Purpose: To develop an interpretable feature-based Deep Parametric Response Mapping (PRM Materials and Methods: In this retrospective analysis of prospectively acquired data (2007-2017), we developed and validated a deep learning-based PRM approach using paired CT scans from 8,972 tobacco-exposed COPDGene participants (≥10 pack-years; mean age 60.1 ± 8.8 years; 46.5% women), including controls with normal spirometry (n = 3,872; controls), PRISm (n = 1,089), GOLD 1-4 COPD (n = 4,011). Data were stratified into training, validation, and testing sets (24:6:70). PRM Results: PRM Conclusion: PRM

Indexed as

Chronic Obstructive Pulmonary DiseaseMachine LearningParametric Response MappingQuantitative CT ImagingWavelet Scattering Transform

Identifiers

PMID42094132
PMCPMC13142568

What OpenQuestion holds

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Registered trials

None linked

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.