Department of Sciences Cliniques, Faculty of Veterinary Medicine, University of Montreal, St-Hyacinthe, Quebec, Canada.
École de Technologie Supérieure, Montreal, Quebec, Canada.
Am J Vet Res. 2023 Apr 17;84(6). doi: 10.2460/ajvr.22.12.0220. Print 2023 Jun 1.
Osteosarcoma frequently affects the proximal humerus in dogs. In veterinary medicine, no therapeutic option for the treatment of osteosarcoma satisfactorily preserves limb function. 3D-printed personalized endoprosthesis offers a promising treatment option. Morphometric data, necessary for the design of the endoprosthesis, are currently lacking in canine patients. Our objective was to acquire the morphometric data necessary to refine the design of the endoprosthesis.
A single canine cadaveric thoracic limb.
Sagittal proton-density, and sagittal, dorsal, and transverse T1-weighted sequences of the thoracic limb were acquired with a 1.5 Tesla Magnetic Resonance Imaging (MRI) unit. Nineteen muscles of interest were subsequently identified using medical imaging software (Mimics©) and their volume was reconstructed in 3D using computer-aided design (CATIA©). Mormophetric data were recorded for each of the 19 muscles. The same canine cadaver was then dissected to measure the same parameters.
All muscles were successfully identified with data consistent with the dissected cadaveric data. Certain muscles were more challenging to isolate on MRI, namely the heads of the triceps brachii, superficial pectoral, and latissimus dorsi. The relative distribution of muscle volumes was similar to historical data. Muscle tissue density was not significantly affected by freezing (1.059 g/cm3).
MRI is a useful tool to collect morphometric data but imperfect if used alone. This approach was the first attempt to validate more general morphometric data that could be used to refine the design of custom 3D-printed prostheses for limb-sparing of the proximal humerus. Further imaging studies are warranted to refine our model.
骨肉瘤常发生于犬的肱骨近端。在兽医领域,尚无治疗方案能满意地保留肢体功能。3D 打印的个性化假体为一种有前途的治疗选择。目前,犬患者缺乏假体设计所需的形态计量学数据。我们的目的是获取必要的形态计量学数据,以完善假体设计。
单个犬的胸肢尸体。
使用 1.5T 磁共振成像(MRI)仪采集胸肢的矢状质子密度和矢状位、背侧位和横断位 T1 加权序列。随后使用医学成像软件(Mimics©)识别 19 块感兴趣的肌肉,并使用计算机辅助设计(CATIA©)在 3D 中重建其体积。记录了 19 块肌肉的每一块的形态计量学数据。然后,对同一犬尸体进行解剖以测量相同的参数。
所有肌肉均成功识别,数据与解剖尸体数据一致。某些肌肉在 MRI 上更难分离,即肱三头肌头、胸浅肌和背阔肌。肌肉体积的相对分布与历史数据相似。肌肉组织密度不受冷冻影响(1.059 g/cm3)。
MRI 是一种收集形态计量学数据的有用工具,但单独使用并不完美。这种方法首次尝试验证更通用的形态计量学数据,这些数据可用于完善用于保留肱骨近端的肢体的定制 3D 打印假体的设计。需要进一步的影像学研究来完善我们的模型。