The Medical Molecular Imaging Group of the Vall d’Hebron Research Institute (VHIR), in cooperation with the Cell therapy and Surgery in Congenital Malformations Laboratory of the VHIR and the Health & Biomedicine Department of Leitat recently published a paper in European Radiology Experimental. The paper is entitled Modelling the skeletal muscle injury recovery using in vivo contrast-enhanced micro-CT: a proof-of-concept study in a rat model. Below the abstract of the article.
Background: 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.
Methods: 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.
Results: Optimal contrast agent dose was found to be 20 mL/kg injected at 400μL/min. Injury volumes showed a decreasing tendency from day 0 (32.3 ± 12.0mm3, 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 mm3, 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 (R2= 0.968) to predict injury recovery in the validation cohort gave a predictions root means quared error of 6.8 ± 5.4 mm3. Further prediction analysis yielded a bias of 2.327.
Conclusion: Contrast-enhanced CT allowed in vivo tracking of skeletal muscle injury recovery in rat.
Keywords: Muscle (skeletal), Muscular diseases, Rats, Tomography (x-ray computed), Wound healing