Modelling the skeletal muscle injury recovery using in vivo contrast-enhanced micro-CT : a proof-of-concept study in a rat model
Paun, Bruno (Hospital Universitari Vall d'Hebron. Institut de Recerca)
García Leon, Daniel (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Claveria Cabello, Alex (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Marés, Roso (Hospital Universitari Vall d'Hebron. Institut de Recerca)
de la Calle Vargas, Elena (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Contreras Muñoz, Paola (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Venegas Garcia, Vanessa (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Castell-Conesa, Joan (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Marotta, Mario (Hospital Universitari Vall d'Hebron. Institut de Recerca)
Herance, José Raul (Hospital Universitari Vall d'Hebron. Institut de Recerca)

Fecha:	2020
Resumen:	Skeletal muscle injury characterisation during healing supports trauma prognosis. Given the potential interest of computed tomography (CT) in muscle diseases and lack of in vivo CT methodology to image skeletal muscle wound healing, we tracked skeletal muscle injury recovery using in vivo micro-CT in a rat model to obtain a predictive model. Skeletal muscle injury was performed in 23 rats. Twenty animals were sorted into five groups to image lesion recovery at 2, 4, 7, 10, or 14 days after injury using contrast-enhanced micro-CT. Injury volumes were quantified using a semiautomatic image processing, and these values were used to build a prediction model. The remaining 3 rats were imaged at all monitoring time points as validation. Predictions were compared with Bland-Altman analysis. Optimal contrast agent dose was found to be 20 mL/kg injected at 400 μL/min. Injury volumes showed a decreasing tendency from day 0 (32. 3 ± 12. 0mm 3, mean ± standard deviation) to day 2, 4, 7, 10, and 14 after injury (19. 6 ± 12. 6, 11. 0 ± 6. 7, 8. 2 ± 7. 7, 5. 7 ± 3. 9, and 4. 5 ± 4. 8 mm 3, respectively). Groups with single monitoring time point did not yield significant differences with the validation group lesions. Further exponential model training with single follow-up data (R 2 = 0. 968) to predict injury recovery in the validation cohort gave a predictions root mean squared error of 6. 8 ± 5. 4 mm 3. Further prediction analysis yielded a bias of 2. 327. Contrast-enhanced CT allowed in vivo tracking of skeletal muscle injury recovery in rat.
Ayudas:	Instituto de Salud Carlos III PI16/02064
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Muscle (skeletal) ; Muscular diseases ; Rats ; Tomography (x-ray computed) ; Wound healing
Publicado en:	European Radiology Experimental, Vol. 4 (june 2020) , ISSN 2509-9280

DOI: 10.1186/s41747-020-00163-4
PMID: 32488324

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