Orthopaedic Research Laboratory, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Laboratory of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
PLoS One. 2019 Jul 30;14(7):e0220564. doi: 10.1371/journal.pone.0220564. eCollection 2019.
The objective of this study was to develop a new calibration method that enables calibration of Hounsfield units (HU) to bone mineral densities (BMD) without the use of a calibration phantom for fracture risk prediction of femurs with metastases using CT-based finite element (FE) models. Fifty-seven advanced cancer patients (67 femurs with bone metastases) were CT scanned atop a separate calibration phantom using a standardized protocol. Non-linear isotropic FE models were constructed based on the phantom calibration and on two phantomless calibration methods: the "air-fat-muscle" and "non-patient-specific" calibration. For air-fat-muscle calibration, peaks for air, fat and muscle tissue were extracted from a histogram of the HU in a standardized region of interest including the patient's right leg and surrounding air. These CT peaks were linearly fitted to reference "BMD" values of the corresponding tissues to obtain a calibration function. For non-patient-specific calibration, an average phantom calibration function was used for all patients. FE failure loads were compared between phantom and phantomless calibrations. There were no differences in failure loads between phantom and air-fat-muscle calibration (p = 0.8), whereas there was a significant difference between phantom and non-patient-specific calibration (p<0.001). Although this study was not designed to investigate this, in four patients who were scanned using an aberrant reconstruction kernel, the effect of the different kernel seemed to be smaller for the air-fat-muscle calibration compared to the non-patient-specific calibration. With the air-fat-muscle calibration, clinical implementation of the FE model as tool for fracture risk assessment will be easier from a practical and financial viewpoint, since FE models can be made using everyday clinical CT scans without the need of concurrent scanning of calibration phantoms.
本研究的目的是开发一种新的校准方法,该方法无需使用校准体模即可将 CT 基于有限元(FE)模型的骨矿物质密度(BMD)与亨氏单位(HU)进行校准,从而预测发生转移的股骨骨折风险。对 57 例晚期癌症患者(67 个股骨有骨转移)进行 CT 扫描,在单独的校准体模上使用标准化协议进行扫描。根据体模校准以及两种无体模校准方法(“空气-脂肪-肌肉”和“非患者特异性”校准)构建各向异性非线性 FE 模型。对于空气-脂肪-肌肉校准,从包括患者右腿和周围空气的标准化感兴趣区域的 HU 直方图中提取空气、脂肪和肌肉组织的峰值。将这些 CT 峰值线性拟合到相应组织的参考“BMD”值,以获得校准函数。对于非患者特异性校准,所有患者均使用平均体模校准函数。比较体模和无体模校准的 FE 失效载荷。体模和空气-脂肪-肌肉校准之间的失效载荷没有差异(p=0.8),而体模和非患者特异性校准之间有显著差异(p<0.001)。尽管本研究并非旨在对此进行研究,但在四名使用异常重建内核进行扫描的患者中,与非患者特异性校准相比,不同内核对空气-脂肪-肌肉校准的影响似乎较小。与非患者特异性校准相比,空气-脂肪-肌肉校准可以使用日常临床 CT 扫描来制作 FE 模型,而无需同时扫描校准体模,因此从实际和经济角度来看,FE 模型作为骨折风险评估工具的临床实施将更加容易。