Medical Molecular Imaging Group, Vall d'Hebron Research Institute (VHIR), CIBER-BBN, CIBBIM-Nanomedicine, ISCIII, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona (UAB), Passeig de la Vall d'Hebron 119-129, 08035, Barcelona, Spain.
Health & Biomedicine division, Leitat Technological Center, 2. C/ Pallars, 179-185, 08005, Barcelona, Spain.
Eur Radiol Exp. 2020 Jun 3;4(1):33. doi: 10.1186/s41747-020-00163-4.
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, 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, 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 = 0.968) to predict injury recovery in the validation cohort gave a predictions root mean squared error of 6.8 ± 5.4 mm. Further prediction analysis yielded a bias of 2.327.
Contrast-enhanced CT allowed in vivo tracking of skeletal muscle injury recovery in rat.
在愈合过程中对骨骼肌损伤的特征进行描述有助于预测创伤的预后。鉴于计算机断层扫描(CT)在肌肉疾病中的潜在应用,以及缺乏用于成像骨骼肌伤口愈合的体内 CT 方法,我们使用体内 micro-CT 在大鼠模型中追踪骨骼肌损伤的恢复情况,以获得预测模型。
在 23 只大鼠中进行骨骼肌损伤。20 只动物被分为 5 组,在损伤后 2、4、7、10 或 14 天使用对比增强 micro-CT 对损伤恢复进行成像。使用半自动图像处理量化损伤体积,并使用这些值构建预测模型。其余 3 只大鼠在所有监测时间点进行成像作为验证。预测结果通过 Bland-Altman 分析进行比较。
发现最佳对比剂剂量为 20ml/kg,以 400μL/min 的速度注射。损伤体积从第 0 天(32.3±12.0mm,平均值±标准差)逐渐下降,至第 2、4、7、10 和 14 天(19.6±12.6、11.0±6.7、8.2±7.7、5.7±3.9 和 4.5±4.8mm)。只有单个监测时间点的组与验证组的损伤没有显著差异。进一步使用单个随访数据(R=0.968)对指数模型进行训练,以预测验证队列中损伤的恢复情况,得到预测值的均方根误差为 6.8±5.4mm。进一步的预测分析得出偏差为 2.327。
对比增强 CT 允许在体内追踪大鼠骨骼肌损伤的恢复情况。