Pascart Tristan, Falgayrac Guillaume, Norberciak Laurène, Lalanne Clément, Legrand Julie, Houvenagel Eric, Ea Hang-Korng, Becce Fabio, Budzik Jean-François
Department of Rheumatology, Lille Catholic Hospitals, Saint-Philibert Hospital, University of Lille, Rue du Grand But, Lomme, F-59160, France.
EA 4490, PMOI, Physiopathologie des Maladies Osseuses Inflammatoires, University of Lille, Lille, France.
Ther Adv Musculoskelet Dis. 2020 Jun 24;12:1759720X20936060. doi: 10.1177/1759720X20936060. eCollection 2020.
Dual-energy computed tomography (DECT) is being considered as a non-invasive diagnostic and characterization tool in calcium crystal-associated arthropathies. Our objective was to assess the potential of DECT in distinguishing between basic calcium phosphate (BCP) and calcium pyrophosphate (CPP) crystal deposition in and around joints .
A total of 13 patients with calcific periarthritis and 11 patients with crystal-proven CPPD were recruited prospectively to undergo DECT scans. Samples harvested from BCP and CPP calcification types were analyzed using Raman spectroscopy and validated against synthetic crystals. Regions of interest were placed in BCP and CPP calcifications, and the following DECT attenuation parameters were obtained: CT numbers (HU) at 80 and 140 kV, dual-energy index (DEI), electron density (Rho), and effective atomic number ( ). These DECT attenuation parameters were compared and validated against crystal calibration phantoms at two known equal concentrations. Receiver operating characteristic (ROC) curves were plotted to determine the highest accuracy thresholds for DEI and .
Raman spectroscopy enabled chemical fingerprinting of BCP and CPP crystals both and . DECT was able to distinguish between HA and CPP in crystal calibration phantoms at two known equal concentrations, most notably by DEI (200 mg/cm: 0.037 ± 0 0.034 ± 0, = 0.008) and (200 mg /cm: 9.4 ± 0 9.3 ± 0, = 0.01) analysis. Likewise, BCP calcifications had significantly higher DEI (0.041 ± 0.005 0.034 ± 0.005, = 0.008) and (9.5 ± 0.2 9.3 ± 0.2, = 0.03) than CPP crystal deposits with comparable CT numbers in patients. With an area under the ROC curve of 0.83 [best threshold value = 0.0 39, sensitivity = 90. 9% (81.8, 97. 7%), specificity = 64.6% (50.0, 64. 6%)], DEI was the best parameter in distinguishing between BCP and CPP crystal depositions.
DECT can help distinguish between crystal-proven BCP and CPP calcification types and, thus, aid in the diagnosis of challenging clinical cases, and in the characterization of CPP and BCP crystal deposition occurring in osteoarthritis.
双能计算机断层扫描(DECT)正被视为一种用于钙晶体相关关节病的非侵入性诊断和特征分析工具。我们的目的是评估DECT在区分关节内和关节周围碱性磷酸钙(BCP)和焦磷酸钙(CPP)晶体沉积方面的潜力。
前瞻性招募了13例钙化性肩周炎患者和11例经晶体证实的焦磷酸钙沉积病(CPPD)患者,进行DECT扫描。对从BCP和CPP钙化类型中采集的样本进行拉曼光谱分析,并与合成晶体进行验证。在BCP和CPP钙化部位设置感兴趣区,获取以下DECT衰减参数:80 kV和140 kV时的CT值(HU)、双能指数(DEI)、电子密度(Rho)和有效原子序数( )。将这些DECT衰减参数在两种已知的等浓度下与晶体校准体模进行比较和验证。绘制受试者工作特征(ROC)曲线,以确定DEI和 的最高准确度阈值。
拉曼光谱能够对BCP和CPP晶体进行体内和体外化学指纹识别。在两种已知的等浓度下,DECT能够区分晶体校准体模中的羟基磷灰石(HA)和CPP,最显著的是通过DEI(200 mg/cm:0.037±0 0.034±0, = 0.008)和 (200 mg/cm:9.4±0 9.3±0, = 0.01)分析。同样,在患者中,BCP钙化的DEI(0.041±0.005 0.034±0.005, = 0.008)和 (9.5±0.2 9.3±0.2, = 0.03)显著高于具有可比CT值的CPP晶体沉积。DEI的ROC曲线下面积为0.83 [最佳阈值 = 0.039,灵敏度 = 90.9%(81.8,97.7%),特异性 = 64.6%(50.0,64.6%)],是区分BCP和CPP晶体沉积的最佳参数。
DECT有助于区分经晶体证实的BCP和CPP钙化类型,从而有助于诊断具有挑战性的临床病例,并有助于对骨关节炎中发生的CPP和BCP晶体沉积进行特征分析。