Department of Oral and Maxillofacial Surgery, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.
Center for Radiology and Radiation Oncology, Kobe University Hospital, Kobe, Japan.
J Bone Miner Metab. 2023 Nov;41(6):865-876. doi: 10.1007/s00774-023-01467-2. Epub 2023 Oct 28.
The present study developed an application using dual-energy computed tomography (DECT) focused on Cu for detecting medication-related osteonecrosis of the jaw (MRONJ).
First, we performed two types of phantom studies using a Cu wire syringe and pig mandible with Cu wire to detect Cu on DECT. Second, DECT examinations of 44 patients with MRONJ were performed to compare lesion and normal bone sites using single-energy CT, DECT-virtual non-calcium (VNCa), and DECT-Cu applications. Quantitative analyses of VNCa CT and CT values were performed, and a cut-off value was calculated using receiver operating characteristic analysis. Third, we compared the Cu content in the MRONJ and normal bone groups using inductively coupled plasma atomic emission spectroscopy (ICP-AES).
The material-specific differences in attenuation between the two different energies enabled the accurate separation of Cu from Ca in phantom studies. The sensitivity and specificity for single-energy CT, DECT-VNCa, and DECT-Cu applications were 97.7% and 2.3%, 86.4% and 81.8%, and 88.6% and 97.7%, respectively. Thus, VNCa CT values obtained on DECT-Cu application images showed the highest area under the curve value and maximal diagnostic efficacy in differentiating lesion sites from normal bone sites. On ICP-AES analyses, the Cu content was significantly higher in the MRONJ group than in the normal bone group.
DECT-Cu application demonstrated better diagnostic performance in detecting MRONJ compared with single-energy CT or DECT-VNCa.
本研究开发了一种基于铜的双能计算机断层扫描(DECT)应用程序,用于检测与药物相关的下颌骨坏死(MRONJ)。
首先,我们使用含铜丝注射器和含铜丝猪下颌骨进行了两种类型的体模研究,以在 DECT 上检测铜。其次,对 44 例 MRONJ 患者进行 DECT 检查,分别使用单能 CT、DECT-虚拟非钙(VNCa)和 DECT-Cu 应用比较病变和正常骨部位。对 VNCa CT 和 CT 值进行定量分析,并使用受试者工作特征分析计算截断值。第三,使用电感耦合等离子体原子发射光谱法(ICP-AES)比较 MRONJ 和正常骨组的铜含量。
两种不同能量之间的物质特异性衰减差异使得在体模研究中能够准确地将铜与钙分离。单能 CT、DECT-VNCa 和 DECT-Cu 应用的灵敏度和特异性分别为 97.7%和 2.3%、86.4%和 81.8%以及 88.6%和 97.7%。因此,在 DECT-Cu 应用图像上获得的 VNCa CT 值在区分病变部位和正常骨部位方面表现出最高的曲线下面积和最大的诊断效能。在 ICP-AES 分析中,MRONJ 组的铜含量明显高于正常骨组。
与单能 CT 或 DECT-VNCa 相比,DECT-Cu 应用在检测 MRONJ 方面表现出更好的诊断性能。