Grabinska Kinga, Pelak Maciej, Wydmanski Jerzy, Tukiendorf Andrzej, d'Amico Andrea
Kinga Grabinska, Radiotherapy and Chemotherapy I Clinic, Maria Skłodowska-Curie Memorial Institute of Oncology, Gliwice Branch, 44-100 Gliwice, Slaskie, Poland.
World J Gastroenterol. 2015 May 21;21(19):5901-9. doi: 10.3748/wjg.v21.i19.5901.
To investigate the correlations of pre-treatment positron emission tomography-computer tomography (PET-CT) metabolic quantifiers with clinical data of unstratified gastric cancer (GC) patients.
Forty PET-CT scans utilising 18-fluorodeoxyglucose in patients who received no prior treatment were analysed. Analysis involved measurements of maximum and mean standardised uptake volumes (SUV), coefficient of variation (COV), metabolic tumour volumes and total lesion glycolysis of different thresholds above which the tumor volumes were identified. The threshold values were: SUV absolute value of 2.5, 30% of SUVmax, 40% of SUVmax, and liver uptake-based (marked 2.5, 30, 40 and liv, respectively). Clinical variables such as age, sex, clinical stage, performance index, weight loss, tumor histological type and grade, and CEA and CA19.9 levels were included in survival analysis. Patients received various treatment modalities appropriate to their disease stage and the outcome was defined by time to metastasis (TTM) and overall survival (OS). Clinical and metabolic parameters were evaluated by analysis of variance, receiver operating characteristics, univariate Kaplan-Meier, and multivariate Cox models. P < 0.05 was considered statistically significant.
Significant differences were observed between initially disseminated and non-disseminated patients in mean SUV (6.05 vs 4.13, P = 0.008), TLG2.5 (802 cm(3) vs 226 cm(3); P = 0.031), and TLG30 (436 cm(3) vs 247 cm(3), P = 0.018). Higher COV was associated with poor tumour differentiation (0.47 for G3 vs 0.28 for G1 and G2; P = 0.03). MTV2.5 was positively correlated to patient weight loss (< 5%, 5%-10% and > 10%: 40.4 cm(3) vs 123.6 cm(3) vs 181.8 cm(3), respectively, P = 0.003). In multivariate Cox analysis, TLG30 was prognostic for OS (HR = 1.001, 95%CI: 1.0009-1.0017; P = 0.047) for the whole group of patients. In the same model yet only including patients without initial disease dissemination TLG30 (HR = 1.009, 95%CI: 1.003-1.014; P = 0.004) and MTV2.5 (HR = 1.02, 95%CI: 1.002-1.036; P = 0.025) were prognostic for OS; for TTM TLG30 was the only significant prognostic variable (HR = 1.006, 95%CI: 1.001-1.012; P = 0.02).
PET-CT in GC may represent a valuable diagnostic and prognostic tool that requires further evaluation in highly standardised environments such as randomised clinical trials.
探讨未经分层的胃癌(GC)患者治疗前正电子发射断层扫描-计算机断层扫描(PET-CT)代谢定量指标与临床数据之间的相关性。
分析了40例未接受过先前治疗患者的18-氟脱氧葡萄糖PET-CT扫描结果。分析内容包括测量最大和平均标准化摄取值(SUV)、变异系数(COV)、代谢肿瘤体积以及不同阈值下的总病灶糖酵解,这些阈值用于确定肿瘤体积。阈值分别为:SUV绝对值2.5、SUVmax的30%、SUVmax的40%以及基于肝脏摄取(分别标记为2.5、30、40和liv)。生存分析纳入了年龄、性别、临床分期、体能指数、体重减轻、肿瘤组织学类型和分级以及癌胚抗原(CEA)和糖类抗原19-9(CA19.9)水平等临床变量。患者接受了适合其疾病分期的各种治疗方式,结局通过转移时间(TTM)和总生存期(OS)来定义。临床和代谢参数通过方差分析、受试者工作特征曲线、单因素Kaplan-Meier分析和多因素Cox模型进行评估。P < 0.05被认为具有统计学意义。
在初始播散和未播散患者之间,平均SUV(6.05对4.13,P = 0.008)、TLG2.5(802 cm³对226 cm³;P = 0.031)和TLG30(436 cm³对247 cm³,P = 0.018)存在显著差异。较高的COV与肿瘤低分化相关(G3为0.47,G1和G2为0.28;P = 0.03)。MTV2.5与患者体重减轻呈正相关(<5%、5%-10%和>10%:分别为40.4 cm³对123.6 cm³对181.8 cm³,P = 0.003)。在多因素Cox分析中,TLG30对整个患者组的OS具有预后价值(风险比[HR]=1.001,95%置信区间[CI]:1.0009-1.0017;P =