Evidence map›Paper›PMID 38645219›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Exploratory Study on COPD Phenotypes and their Progression: Integrating SPECT and qCT Imaging Analysis.

Frank Li, Xuan Zhang, Alejandro P Comellas, Eric A Hoffman, Michael M Graham, Ching-Long Lin

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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, 1 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Frank LiRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-8205-3397
Xuan ZhangDepartment of Mechanical Engineering, University of Iowa, Iowa City, Iowa, USA.
Alejandro P ComellasDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0003-1521-7520
Eric A HoffmanDepartment of Radiology, University of Iowa, Iowa City, Iowa, USA.
Michael M GrahamDepartment of Radiology, University of Iowa, Iowa City, Iowa, USA.
Ching-Long LinDepartment of Mechanical Engineering, University of Iowa, Iowa City, Iowa, USA.
University of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Jong Sung Kim · 1990 to 2026
$40.5M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
Multi-center Structural & Functional Quantitative CT Pulmonary PhenotypingR01HL112986 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED · 2012 to 2016
$4.6M
An integrative statistics-guided image-based multi-scale lung modelU01HL114494 · NHLBI · UNIVERSITY OF IOWA · PI LIN, CHING-LONG · 2013 to 2017
$3.1M
Deep Learning and Subtyping of Post-COVID-19 Lung Progression PhenotypesR01HL168116 · NHLBI · UNIVERSITY OF IOWA · PI CHING-LONG LIN · 2023 to 2026
$2.9M
Iowa Lung Imaging Training ProgramT32HL144461 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED, REINHARDT, JOSEPH M · 2019 to 2023
$1.6M
Large-Scale Computing and Visualization for Cardiopulmonary ImagingS10RR022421 · NCRR · UNIVERSITY OF IOWA · PI LIN, CHING-LONG · 2008 to 2008
$474k
NCRR NIH HHS S10 RR022421NHLBI NIH HHS R01 HL112986NHLBI NIH HHS R01 HL168116NHLBI NIH HHS T32 HL144461NHLBI NIH HHS U01 HL114494NIDDK NIH HHS P30 DK054759NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Background: The objective of this study is to understand chronic obstructive pulmonary disease (COPD) phenotypes and their progressions by quantifying heterogeneities of lung ventilation from the single photon emission computed tomography (SPECT) images and establishing associations with the quantitative computed tomography (qCT) imaging-based clusters and variables. Methods: Eight COPD patients completed a longitudinal study of three visits with intervals of about a year. CT scans of these subjects at residual volume, functional residual capacity, and total lung capacity were taken for all visits. The functional and structural qCT-based variables were derived, and the subjects were classified into the qCT-based clusters. In addition, the SPECT variables were derived to quantify the heterogeneity of lung ventilation. The correlations between the key qCT-based variables and SPECT-based variables were examined. Results: The SPECT-based coefficient of variation (CV Conclusion: Small airway disease is highly associated with the heterogeneity of ventilation in COPD lungs. TC

Indexed as

COPDCTSmall Airway DiseaseSPECTVentilation

Identifiers

PMID38645219
PMCPMC11030493
OpenAlexW4394781435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.