Department of Nuclear Medicine, Charité University Medical Center, Berlin, Germany,
Strahlenther Onkol. 2014 Jun;190(6):575-81. doi: 10.1007/s00066-014-0611-7. Epub 2014 Feb 18.
The aim of this pilot study was (1) to evaluate the combination of [(18)F]fluorodeoxyglucose (FDG) and [(15)O]water for detection of flow-metabolism mismatch in advanced cervical carcinomas, i.e., increased glycolysis at low blood flow, as a possible parameter for prediction of response to treatment, and (2) to propose a method for automated quantification of its spatial extent.
The study retrospectively included 10 women with advanced cervical carcinoma in whom PET with both FDG and [(15)O]water had been performed prior to therapy. The metabolically active tumor volume was delineated automatically in the FDG images. For computation of the regional blood flow in the tumor, a recovery corrected image-derived arterial input function was used. A tumor voxel was classified as mismatched when the voxel SUV of FDG was larger than the median tumor SUV and the voxel perfusion (K1) was smaller than the median perfusion. The absolute mismatch volume (aMMV) was defined as the volume of all mismatched voxels in ml, and the relative mismatch volume (rMMV) as the ratio of the aMMV to the metabolic tumor volume in percent.
The tumors were quite heterogeneous with respect to both FDG uptake and perfusion. The aMMV clustered into 2 groups: "large aMMV" ≥ 10 ml in 40 % of patients and "small aMMV" ≤ 5 ml in 60 % of patients. The rMMV ranged from 12.7-24.9 %. There was no correlation between rMMV and metabolic tumor volume. There was a tendency (p = 0.126) for an association between rMMV and histological grading, rMMV being about 20 % higher in G3 than in G2 tumors. rMMV did not correlate with SUV or perfusion.
These results suggest that combined PET with FDG and [(15)O]water allows detection and quantitative characterization of flow-metabolism mismatch in advanced cervical carcinomas.
本研究旨在(1)评估氟脱氧葡萄糖[(18)F](FDG)和水[(15)O]联合应用于检测高级宫颈癌中的血流-代谢失配,即低血流状态下的糖酵解增加,作为预测治疗反应的可能参数;(2)提出一种自动量化其空间范围的方法。
本研究回顾性纳入 10 例高级宫颈癌患者,这些患者在治疗前均进行了 FDG 和水[(15)O]PET 检查。FDG 图像中自动勾画代谢活跃肿瘤体积。为计算肿瘤内局部血流,使用校正后图像衍生的动脉输入函数。当 FDG 瘤内 SUV 大于肿瘤 SUV 中位数且瘤内灌注(K1)小于灌注中位数时,肿瘤像素被归类为失配。绝对失配体积(aMMV)定义为所有失配像素的体积(ml),相对失配体积(rMMV)定义为 aMMV 与代谢肿瘤体积之比(%)。
肿瘤在 FDG 摄取和灌注方面均存在异质性。aMMV 可分为 2 组:40%的患者 aMMV≥10ml(“大 aMMV”),60%的患者 aMMV≤5ml(“小 aMMV”)。rMMV 范围为 12.7-24.9%。rMMV 与代谢肿瘤体积之间无相关性。rMMV 与组织学分级呈正相关趋势(p=0.126),rMMV 在 G3 肿瘤中比 G2 肿瘤高约 20%。rMMV 与 SUV 或灌注均无相关性。
这些结果表明,FDG 和水[(15)O]联合 PET 可检测并定量分析高级宫颈癌中的血流-代谢失配。