Okazumi Shinichi, Dimitrakopoulou-Strauss Antonia, Schwarzbach Matthias H M, Strauss Ludwig G
Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center, Heidelberg, Germany.
Hell J Nucl Med. 2009 Sep-Dec;12(3):223-8.
The purpose of this study was to evaluate soft tissue sarcomas by dynamic (18)F-FDG-PET studies, and to establish an index of kinetic parameters for evaluation of their malignancy, histological grade and prognosis, after surgical resection. One hundred and seventeen patients including 79 with histologically proven soft tissue malignancies, 14 with primary benign soft tissue tumors and 24 with postoperative scar tissues were examined. The (18)F-FDG studies were accomplished as a dynamic series for 60 min. The evaluation of the (18)F-FDG kinetics was performed using the following parameters: standardized uptake value (SUV), global influx (Ki), computation of transport constants (k1-k4) with consideration of the vascular fraction (VB) according to a two tissue compartment model, and fractal dimension (FD) based on the box-counting procedure (non-compartmental model). Discriminant analysis (DA) was used for data evaluation. Multivariate analysis was performed to assess the predictive value of each kinetic parameter on survival. Our results showed that in the primary cases (n=46), SUV, k1, Ki and FD were higher in sarcomas than benign tumors. The diagnostic sensitivity of 62.50%, a specificity of 92.86%, and an accuracy of 71.74% were achieved by using the combination of k1 and SUV as input variables for DA. In the postoperative cases (n=71), SUV, VB, k3, Ki, and FD were higher in recurrent lesions than in scar tissues. DA revealed a sensitivity of 80.85%, a specificity of 87.50%, and an accuracy of 83.10% by using the combination of SUV, Ki and FD. In liposarcoma patients (n=32), SUV and FD were higher in GII,III tumors as compared with GI. DA led to a sensitivity of 86.96%, a specificity of 55.56%, and an accuracy of 78.13% by using the combination of SUV and FD. By multivariate analysis of primary soft tissue sarcomas (n=26) after surgical resection, groups with k3>0.025 (P<0.0026) or FD>1.25 (P<0.0162) had significantly poor prognosis. In conclusion, the evaluation of full (18)F-FDG kinetics provides important information for the diagnosis of malignant lesions, histological grading and prognosis of soft tissue sarcomas.
本研究旨在通过动态(18)F-FDG-PET研究评估软组织肉瘤,并建立动力学参数指标,用于评估手术切除后其恶性程度、组织学分级及预后。对117例患者进行了检查,其中包括79例经组织学证实的软组织恶性肿瘤患者、14例原发性良性软组织肿瘤患者和24例术后瘢痕组织患者。(18)F-FDG研究以动态系列形式进行60分钟。使用以下参数对(18)F-FDG动力学进行评估:标准化摄取值(SUV)、整体流入率(Ki)、根据双组织房室模型考虑血管分数(VB)计算转运常数(k1-k4),以及基于盒计数法(非房室模型)的分形维数(FD)。采用判别分析(DA)进行数据评估。进行多变量分析以评估每个动力学参数对生存的预测价值。我们的结果显示,在原发性病例(n = 46)中,肉瘤的SUV、k1、Ki和FD高于良性肿瘤。以k1和SUV作为DA的输入变量,诊断敏感性为62.50%,特异性为92.86%,准确性为71.74%。在术后病例(n = 71)中,复发病变的SUV、VB、k3、Ki和FD高于瘢痕组织。DA显示,以SUV、Ki和FD作为组合,敏感性为80.85%,特异性为87.50%,准确性为83.1%。在脂肪肉瘤患者(n = 32)中,与GⅠ级肿瘤相比,GⅡ、Ⅲ级肿瘤的SUV和FD更高。以SUV和FD作为组合,DA的敏感性为86.96%,特异性为55.56%,准确性为78.13%。通过对手术切除后的原发性软组织肉瘤(n = 26)进行多变量分析,k3>0.025(P<0.0026)或FD>1.25(P<0.0162)的组预后明显较差。总之,对完整的()F-FDG动力学进行评估可为软组织肉瘤的恶性病变诊断、组织学分级及预后提供重要信息。