Evidence map›Paper›PMID 40888816›Full record

ReviewJournal of biomechanical engineering2025

Pulmonary Biomechanics in COPD: Imaging Techniques and Clinical Applications.

Stephanie Marie Aguilera, Muhammad F A Chaudhary, Sarah E Gerard, Joseph M Reinhardt, Sandeep Bodduluri

Abstract readReview
In one paragraph

Review in Journal of biomechanical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Stephanie Marie AguileraDepartment of Biomedical Engineering, The University of Alabama at Birmingham, 1075 13th Street South, Birmingham, AL 35294-4440.ORCID 0000-0001-8926-2311
Muhammad F A ChaudharyDivision of Pulmonary, Allergy, and Critical Care Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, 1900 University Boulevard, Tinsley Harrison Tower, Suite 422, Birmingham, AL 35294.
Sarah E GerardThe Roy J. Carver Department of Biomedical Engineering, The University of Iowa, 5613 Seamans Center, Iowa City, IA 52242.
Joseph M ReinhardtThe Roy J. Carver Department of Biomedical Engineering, The University of Iowa, 4639 Seamans Center, Iowa City, IA 52242.
Sandeep BodduluriDivision of Pulmonary, Allergy, and Critical Care Medicine, Heersink School of Medicine, The University of Alabama at Birmingham, 1900 University Boulevard, Tinsley Harrison Tower, Suite 422, Birmingham, AL 35294.

Funding

Silent Zones of Lung Disease in COPDK01HL163249 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Sandeep Bodduluri · 2023 to 2026
$674k
NHLBI NIH HHS K01HL163249
6 · The paper itself

Abstract

The respiratory system depends on complex biomechanical processes to enable gas exchange. The mechanical properties of the lung parenchyma, airways, vasculature, and surrounding structures play an essential role in overall ventilation efficacy. These complex biomechanical processes, however, are significantly altered in chronic obstructive pulmonary disease (COPD) due to emphysematous destruction of the lung parenchyma, chronic airway inflammation, and small airway obstruction. Recent advancements in computed tomography (CT) and magnetic resonance imaging (MRI) acquisition techniques, combined with advanced image post-processing algorithms and deep neural networks, have enabled comprehensive quantitative assessment of lung structure, tissue deformation, and lung function at the voxel level. These methods have led to better phenotyping, therapeutic strategies, and refined our understanding of pathological processes that compromise pulmonary function in COPD. In this review, we discuss recent developments in imaging and image processing methods for studying pulmonary biomechanics with a specific focus on clinical applications for COPD, including the assessment of regional ventilation, planning of endobronchial valve treatment, prediction of disease onset and progression, sizing of lungs for transplantation, and guiding mechanical ventilation. These advanced image-based biomechanical measurements, when combined with clinical expertise, play a critical role in disease management and personalized therapeutic interventions for patients with COPD.

Indexed as

LungPulmonary Disease, Chronic ObstructiveAlgorithmsBiomechanical PhenomenaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeural Networks, ComputerTomography, X-Ray Computed

Identifiers

PMID40888816
PMCPMC12617610

What Socratic holds

Textmetadata
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 Socratic graph.