The importance of routine quality control for reproducible pulmonary measurements by in vivo micro-CT.

Autor: Mambrini M; Department of Veterinary Science, University of Parma, Parma, Italy., Mecozzi L; Department of Medicine and Surgery, University of Parma, Parma, Italy., Ferrini E; Department of Veterinary Science, University of Parma, Parma, Italy., Leo L; Department of Medicine and Surgery, University of Parma, Parma, Italy., Bernardi D; Department of Veterinary Science, University of Parma, Parma, Italy., Grandi A; Pharmacology and Toxicology Department Corporate Pre-Clinical R&D, Chiesi Farmaceutici S.p.A., Largo Belloli, 11/A, 43122, Parma, Italy., Sverzellati N; Department of Medicine and Surgery, University of Parma, Parma, Italy., Ruffini L; Division of Nuclear Medicine, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy., Silva M; Department of Medicine and Surgery, University of Parma, Parma, Italy., Stellari FF; Pharmacology and Toxicology Department Corporate Pre-Clinical R&D, Chiesi Farmaceutici S.p.A., Largo Belloli, 11/A, 43122, Parma, Italy. fb.stellari@chiesi.com.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2022 Jun 11; Vol. 12 (1), pp. 9695. Date of Electronic Publication: 2022 Jun 11.
DOI: 10.1038/s41598-022-13477-7
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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