Evidence map›Paper›PMID 42089278›Full record

ArticleAmerican journal of respiratory cell and molecular biology2026

Regional micro-computed tomography analysis enables longitudinal detection of compensatory ventilation effects in a mouse model of pulmonary fibrosis.

Martina Buccardi, Francesca Pennati, Erica Ferrini, Davide Buseghin, Eugenia Polverini, Nicola Sverzellati, Andrea Aliverti, Franco Fabio Stellari

Abstract read
In one paragraph

Article in American journal of respiratory cell and molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

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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

8 authors.

Martina BuccardiMolecular Imaging Facility, Experimental Pharmacology and Translational Science Department, Chiesi Farmaceutici S.p.A., Parma, Italy.
Francesca PennatiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Erica FerriniMolecular Imaging Facility, Experimental Pharmacology and Translational Science Department, Chiesi Farmaceutici S.p.A., Parma, Italy.
Davide BuseghinDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Eugenia PolveriniDepartment of Mathematical, Physical and Computer Sciences, University of Parma, Parma, Italy.
Nicola SverzellatiDepartment of Medicine and Surgery, University of Parma, Parma, Italy.ORCID 0000-0002-4820-3785
Andrea AlivertiDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.
Franco Fabio StellariMolecular Imaging Facility, Experimental Pharmacology and Translational Science Department, Chiesi Farmaceutici S.p.A., Parma, Italy.

Funding

AdvaNced Technologies for Human-centrEd Medicine ANTHEMNational Recovery and Resilience Plan Complementary Investments PNC0000003
6 · The paper itself

Abstract

Accurate lung function assessment is essential in preclinical idiopathic pulmonary fibrosis (IPF) research, yet conventional whole-lung endpoints overlook spatial heterogeneity and compensatory mechanisms. We present a micro-computed tomography (µCT)-based pipeline for longitudinal, regional quantification of structural and functional changes in a murine bleomycin (BLM)-induced fibrosis model to improve evaluation of disease progression and therapeutic effects. C57BL/6 mice received triple oropharyngeal administrations of saline or BLM. Respiratory-gated µCT scans were acquired in free-breathing at baseline and days 7, 14, and 21. A deep-learning algorithm segmented the lungs into left and right lobes, further subdivided into apical and caudal regions using airway landmarks. Regional volumes, aeration compartments, and ventilation maps were extracted to assess structural and functional alterations. Saline-treated mice showed stable metrics over time, with minimal interanimal variability, demonstrating the robustness and physiological consistency of our segmentation procedure. BLM-treated animals exhibited early and heterogeneous fibrotic changes, with the apical regions appearing as most affected. The caudal-right region displayed a compensatory functional increase of respiratory parameters derived from multivolume µCT. µCT-based regional analysis can detect localized dysfunction and compensatory effects not captured by whole-lung measurements. This strategy is applicable to different models of heterogeneous lung disease and may contribute to reduce the translational gap in IPF research.

Indexed as

LungPulmonary FibrosisPulmonary VentilationX-Ray MicrotomographyAnimalsBleomycinDisease Models, AnimalMaleMiceMice, Inbred C57BLBleomycinbleomycin-induced lung fibrosis mouse modeldrug discoveryimaging biomarkersmicro-computed tomographyregional analysis

Identifiers

PMID42089278
PMCPMC13624512

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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.