Department of Radiology, Shengjing Hospital of China Medical University, P.R. China.
J Magn Reson Imaging. 2019 Jun;49(6):1704-1712. doi: 10.1002/jmri.26557. Epub 2018 Nov 3.
Multiparameter, multimodality F-FDG PET/MRI holds great potential for the diagnosis of cervical cancer based on the correlation between tumor glucose metabolism and imaging parameters.
To characterize the heterogeneity of tumor glucose metabolism by evaluating the correlation between F-FDG uptake parameters and multiparametric functional MRI metrics in cervical carcinoma.
Retrospective.
Fifty-four patients with cervical carcinoma.
FIELD STRENGTH/SEQUENCE: Hybrid PET/MR (3T), multi-b DWI, and R2* mapping.
The maximum and mean standardized uptake values (SUV and SUV , respectively) from PET and functional MRI metrics (D, D*, f, and R2*) were obtained. Cervical carcinoma tissues also underwent HIF-1α, VEGF, and GLUT-1 immunohistochemical staining.
Single-factor Spearman rank and Pearson correlation analysis and multiple linear regression (MLR) analysis were applied.
R2*, D, and f have different degrees of correlation (moderate, weak, moderately strong correlation, respectively) with SUV and SUV (r = 0.530 and 0.527, and P < 0.001 for R2*; r = -0.292 and -0.291, and P < 0.05 for D; r = 0.539 and 0.520, and P < 0.001 for f, respectively). Immunohistochemical staining showed that HIF-1α expression has a moderate degree of correlation with R2* (r = 0.491; P < 0.001); GLUT-1 expression was significantly correlated with SUV and SUV (r = 0.633 and 0.622; P < 0.001), and VEGF expression had a moderately strong correlation with f (r = 0.457; P = 0.001). If SUV is the dependent variable, MLR yields an R-squared value after adjustment (adjusted R-squared) = 0.358, and F = 10.833 (P < 0.001), and the fitting linear equation is Y (SUV ) = 9.184 + 0.161X1 (R2*)+50.343X2 (f)-4.780 (D). Otherwise, MLR yields the adjusted R-squared = 0.342, and F = 10.187 (P < 0.001), and the linear regression equation is Y (SUV ) = 5.925 + 0.102X1 (R2*)+28.029X2 (f)-2.907X3 (D).
The functional MRI sequence parameters R2*, f, and D can provide information on the hypoxic condition, blood perfusion, and molecular diffusion of the tumor. F-FDG PET/MR multi-imaging technique can be adopted to evaluate the heterogeneity of glucose metabolism in cervical carcinoma.
3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2019;49:1704-1712.
基于肿瘤葡萄糖代谢与成像参数之间的相关性，多参数、多模态 18F-FDG PET/MRI 对宫颈癌的诊断具有很大的潜力。
通过评估宫颈癌 18F-FDG 摄取参数与多参数功能 MRI 指标之间的相关性，对肿瘤葡萄糖代谢异质性进行特征描述。
回顾性。
54 例宫颈癌患者。
磁场强度/序列：杂交 PET/MR（3T）、多 b 值 DWI 和 R2* 图。
从 PET 和功能 MRI 指标（D、D*、f 和 R2*）中获取最大和平均标准化摄取值（SUV 和 SUV，分别）。宫颈癌组织还进行了 HIF-1α、VEGF 和 GLUT-1 的免疫组织化学染色。
采用单因素 Spearman 秩和相关和 Pearson 相关分析及多元线性回归（MLR）分析。
R2*、D 和 f 与 SUV 和 SUV 具有不同程度的相关性（中度、弱、中度强相关，r 值分别为 0.530 和 0.527，P<0.001；r 值为-0.292 和-0.291，P<0.05；r 值为 0.539 和 0.520，P<0.001）。免疫组织化学染色显示，HIF-1α 表达与 R2具有中度相关性（r=0.491；P<0.001）；GLUT-1 表达与 SUV 和 SUV 显著相关（r=0.633 和 0.622；P<0.001），VEGF 表达与 f 具有中度强相关性（r=0.457；P=0.001）。如果 SUV 为因变量，MLR 调整后的 R 平方值（调整后 R 平方值）为 0.358，F 值为 10.833（P<0.001），拟合线性方程为 Y（SUV）=9.184+0.161X1（R2）+50.343X2（f）-4.780（D）。否则，MLR 得到调整后的 R 平方值为 0.342，F 值为 10.187（P<0.001），线性回归方程为 Y（SUV）=5.925+0.102X1（R2*）+28.029X2（f）-2.907X3（D）。
功能 MRI 序列参数 R2*、f 和 D 可提供肿瘤缺氧状态、血流灌注和分子扩散的信息。18F-FDG PET/MR 多成像技术可用于评估宫颈癌葡萄糖代谢的异质性。
3 技术功效：3 级。J. Magn. Reson. Imaging 2019;49:1704-1712.
