Department of Radiology, The University of Chicago, Chicago, IL, USA.
Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL, USA.
Eur J Nucl Med Mol Imaging. 2022 Oct;49(12):4014-4024. doi: 10.1007/s00259-022-05889-4. Epub 2022 Jul 6.
To identify the optimal threshold in F-fluoromisonidazole (FMISO) PET images to accurately locate tumor hypoxia by using electron paramagnetic resonance imaging (pO EPRI) as ground truth for hypoxia, defined by pO [Formula: see text] 10 mmHg.
Tumor hypoxia images in mouse models of SCCVII squamous cell carcinoma (n = 16) were acquired in a hybrid PET/EPRI imaging system 2 h post-injection of FMISO. T2-weighted MRI was used to delineate tumor and muscle tissue. Dynamic contrast enhanced (DCE) MRI parametric images of K and v were generated to model tumor vascular properties. Images from PET/EPR/MRI were co-registered and resampled to isotropic 0.5 mm voxel resolution for analysis. PET images were converted to standardized uptake value (SUV) and tumor-to-muscle ratio (TMR) units. FMISO uptake thresholds were evaluated using receiver operating characteristic (ROC) curve analysis to find the optimal FMISO threshold and unit with maximum overall hypoxia similarity (OHS) with pO EPRI, where OHS = 1 shows perfect overlap and OHS = 0 shows no overlap. The means of dice similarity coefficient, normalized Hausdorff distance, and accuracy were used to define the OHS. Monotonic relationships between EPRI/PET/DCE-MRI were evaluated with the Spearman correlation coefficient ([Formula: see text]) to quantify association of vasculature on hypoxia imaged with both FMISO PET and pO EPRI.
FMISO PET thresholds to define hypoxia with maximum OHS (both OHS = 0.728 [Formula: see text] 0.2) were SUV [Formula: see text] 1.4 [Formula: see text] SUV and SUV [Formula: see text] 0.6 [Formula: see text] SUV. Weak-to-moderate correlations (|[Formula: see text]|< 0.70) were observed between PET/EPRI hypoxia images with vascular permeability (K) or fractional extracellular-extravascular space (v) from DCE-MRI.
This is the first in vivo comparison of FMISO uptake with pO EPRI to identify the optimal FMISO threshold to define tumor hypoxia, which may successfully direct hypoxic tumor boosts in patients, thereby enhancing tumor control.
利用电子顺磁共振成像(pO EPRI)作为氧分压 [Formula: see text] 10 毫米汞柱定义的缺氧的真实值,确定 F-氟代米索硝唑(FMISO)PET 图像中准确定位肿瘤缺氧的最佳阈值。
在 SCCVII 鳞状细胞癌的小鼠模型中,在注射 FMISO 后 2 小时,使用混合 PET/EPRI 成像系统获取肿瘤缺氧图像。T2 加权 MRI 用于描绘肿瘤和肌肉组织。生成动态对比增强(DCE)MRI 的 K 和 v 参数图像,以模拟肿瘤血管特性。对来自 PET/EPR/MRI 的图像进行配准,并重新采样到各向同性 0.5 毫米体素分辨率以进行分析。将 PET 图像转换为标准化摄取值(SUV)和肿瘤与肌肉比值(TMR)单位。使用接收者操作特征(ROC)曲线分析评估 FMISO 摄取阈值,以找到与 pO EPRI 具有最大总体缺氧相似性(OHS)的最佳 FMISO 阈值和单位,其中 OHS=1 表示完全重叠,OHS=0 表示无重叠。使用骰子相似系数的平均值、归一化 Hausdorff 距离和准确性来定义 OHS。使用 Spearman 相关系数([Formula: see text])评估 EPRI/PET/DCE-MRI 之间的单调关系,以量化 FMISO PET 和 pO EPRI 成像的缺氧与血管之间的关联。
定义最大 OHS(两者 OHS=0.728 [Formula: see text] 0.2)的 FMISO PET 阈值为 SUV [Formula: see text] 1.4 [Formula: see text] SUV 和 SUV [Formula: see text] 0.6 [Formula: see text] SUV。在 FMISO/EPR 缺氧图像与来自 DCE-MRI 的血管通透性(K)或细胞外-细胞外空间分数(v)之间观察到弱到中度相关性(|[Formula: see text]|<0.70)。
这是首次将 FMISO 摄取与 pO EPRI 进行体内比较,以确定定义肿瘤缺氧的最佳 FMISO 阈值,这可能成功指导患者进行缺氧肿瘤增强,从而增强肿瘤控制。