ArticleScientific reports2022
The importance of routine quality control for reproducible pulmonary measurements by in vivo micro-CT.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Regional micro-computed tomography analysis enables longitudinal detection of compensatory ventilation effects in a mouse model of pulmonary fibrosis.American journal of respiratory cell and molecular biology · 2026Article
- Functional micro-computed tomography requires baseline characterisation to accurately describe quantitative lung parenchymal changes.Breathe (Sheffield, England) · 2026Article
- Multidimensional lung imaging: integrated preclinical platforms enabling the identification of translational biomarkers for pulmonary research.Respiratory research · 2026Review
- Antifibrotic Efficacy of a Nintedanib-Peptide Conjugate and Diagnostic Potential of a Fluorescent Companion Probe Targeting αACS pharmacology & translational science · 2025Article
- Spatial transcriptomic and morpho-functional information derived from single mouse FFPE slides allows in-depth fingerprinting of lung fibrosis.Respiratory research · 2025Article
- Single, double, and triple-hit strategies to establish a long-term premature rabbit model of bronchopulmonary dysplasia.Respiratory research · 2025Article
- A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis.Journal of translational medicine · 2024Article
- Quantitative micro-CT-derived biomarkers elucidate age-related lung fibrosis in elder mice.Respiratory research · 2024Article
- The joint protective function of live- and dead-Aging · 2024Article
- Micro-CT-assisted identification of the optimal time-window for antifibrotic treatment in a bleomycin mouse model of long-lasting pulmonary fibrosis.Scientific reports · 2024Article
- A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.Respiratory research · 2023Article
- Proteomic Fingerprint of Lung Fibrosis Progression and Response to Therapy in Bleomycin-Induced Mouse Model.International journal of molecular sciences · 2023Article
- A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models.Respiratory research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Micro-computed tomography (CT) imaging provides densitometric and functional assessment of lung diseases in animal models, playing a key role either in understanding disease progression or in drug discovery studies. The generation of reliable and reproducible experimental data is strictly dependent on a system's stability. Quality controls (QC) are essential to monitor micro-CT performance but, although QC procedures are standardized and routinely employed in clinical practice, detailed guidelines for preclinical imaging are lacking. In this work, we propose a routine QC protocol for in vivo micro-CT, based on three commercial phantoms. To investigate the impact of a detected scanner drift on image post-processing, a retrospective analysis using twenty-two healthy mice was performed and lung density histograms used to compare the area under curve (AUC), the skewness and the kurtosis before and after the drift. As expected, statistically significant differences were found for all the selected parameters [AUC 532 ± 31 vs. 420 ± 38 (p < 0.001); skewness 2.3 ± 0.1 vs. 2.5 ± 0.1 (p < 0.001) and kurtosis 4.2 ± 0.3 vs. 5.1 ± 0.5 (p < 0.001)], confirming the importance of the designed QC procedure to obtain a reliable longitudinal quantification of disease progression and drug efficacy evaluation.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.