2018
DOI: 10.3791/56443
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A Multimodal Imaging Approach Based on Micro-CT and Fluorescence Molecular Tomography for Longitudinal Assessment of Bleomycin-Induced Lung Fibrosis in Mice

Abstract: Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease characterized by the progressive and irreversible destruction of lung architecture, which causes significant deterioration in lung function and subsequent death from respiratory failure. The pathogenesis of IPF in experimental animal models has been induced by bleomycin administration. In this study, we investigate an IPF-like mouse model induced by a double intratracheal bleomycin instillation. Standard histological assessments used for studying lung… Show more

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Cited by 17 publications
(19 citation statements)
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“…In our study, CT quantification detected fibrotic changes in the lungs of BLM-receiving mice from D9 with progression up to D23 in correlation with classical histological determination of lung collagen content in this preclinical model. Our results are in accordance with previous studies demonstrating that lung CT imaging segmentation and quantification using equivalent methods were in good agreement with histological read-outs and were able to quantify effectively and non-invasively disease progression longitudinally in several lung fibrosis models [21][22][23]. Furthermore, we demonstrate that our CT imaging lung segmentation/quantification allowed the monitoring of pirfenidone and nintedanib anti-fibrotic efficacy by reducing MLD and increasing lung aerated areas from D9 up to D23.…”
Section: Discussionsupporting
confidence: 91%
“…In our study, CT quantification detected fibrotic changes in the lungs of BLM-receiving mice from D9 with progression up to D23 in correlation with classical histological determination of lung collagen content in this preclinical model. Our results are in accordance with previous studies demonstrating that lung CT imaging segmentation and quantification using equivalent methods were in good agreement with histological read-outs and were able to quantify effectively and non-invasively disease progression longitudinally in several lung fibrosis models [21][22][23]. Furthermore, we demonstrate that our CT imaging lung segmentation/quantification allowed the monitoring of pirfenidone and nintedanib anti-fibrotic efficacy by reducing MLD and increasing lung aerated areas from D9 up to D23.…”
Section: Discussionsupporting
confidence: 91%
“…Animals were lightly anesthetized with 2.5% isoflurane delivered in a box and bleomycin hydrochloride BAXTER (1 mg/kg) in 50 µl of saline (0.9%) or vehicle [50 µl of saline (0.9%)] was instilled directly through a tracheal cannula, using a small laryngoscope (Penn-Century Inc., Philadelphia, PA, USA) to visualize the trachea ( Ruscitti et al., 2018 ).…”
Section: Methodsmentioning
confidence: 99%
“…In humans, longitudinal characterization of lung fibrotic diseases extent and progression by noninvasive imaging techniques, such as high-resolution computed tomography (HRCT) ( Lynch et al., 2018 ; Raghu et al., 2018 ; Sverzellati et al., 2018 ; Wu et al., 2018 ), magnetic resonance imaging (MRI) ( Weatherley et al., 2018 ; Wild, 2018 ), and positron emission tomography (PET) ( Justet et al., 2017 ; Win et al., 2018 ), is now well established. Recently, these techniques with the prefix of “Micro” (CT, PET and MRI) have been optimized and validated to assess lung fibrosis at different time points in living animals and so that each subject can act as their own control ( Egger et al., 2013 ; Egger et al., 2014 ; Withana et al., 2016 ; Désogère et al., 2017 ; Ruscitti et al., 2017 ; Ruscitti et al., 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, micro-CT imaging has been applied in some animal models of lung diseases including fibrosis and emphysema ( 3 5 ), emerging as a powerful tool for the longitudinal assessment of disease progression ( 2 , 3 , 6 ). However, translating CT technique to pre-clinical research has some challenging issues, namely due to the small size of rodents and their rapid respiratory cycle ( 3 , 7 ).…”
Section: Introductionmentioning
confidence: 99%