Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
GROW School for Oncology and Developmental Biology - University of Maastricht, Maastricht, The Netherlands.
Acta Radiol. 2021 Jul;62(7):940-948. doi: 10.1177/0284185120943046. Epub 2020 Jul 28.
Early prediction of response to concurrent chemoradiotherapy (cCRT) could aid to further optimize treatment regimens for locally advanced cervical cancer (LACC) in the future.
To explore whether quantitative parameters from baseline (pre-therapy) magnetic resonance imaging (MRI) and FDG-PET/computed tomography (CT) have potential as predictors of early response to cCRT.
Forty-six patients with LACC undergoing cCRT after staging with FDG-PET/CT and MRI were retrospectively analyzed. Primary tumor volumes were delineated on FDG-PET/CT, T2-weighted (T2W)-MRI and diffusion-weighted MRI (DWI) to extract the following quantitative parameters: T2W volume; T2W signal; DWI volume; ADC; ADC; MTV; and SUV. Outcome was the early treatment response, defined as the residual tumor volume on MRI 3-4 weeks after start of external beam radiotherapy with chemotherapy (before the start of brachytherapy): patients with a residual tumor volume <10 cm were classified as early responders. Imaging parameters were analyzed together with FIGO stage to assess their performance to predict early response, using multivariable logistic regression analysis with bi-directional variable selection. Leave-one-out cross-validation with bootstrapping was used to simulate performance in a new, independent dataset.
T2W volume (OR 0.94, = 0.003) and SUV (OR 1.15, = 0.18) were identified as independent predictors in multivariable analysis, rendering a model with an AUC of 0.82 in the original dataset, and AUC of 0.68 (95% CI 0.41-0.81) from cross-validation.
Although the predictive performance achieved in this small exploratory dataset was limited, these preliminary data suggest that parameters from baseline MRI and FDG-PET/CT (in particular pre-therapy tumor volume) may contribute to prediction of early response to cCRT in cervical cancer.
早期预测同步放化疗(cCRT)的反应有助于未来进一步优化局部晚期宫颈癌(LACC)的治疗方案。
探索基线(治疗前)磁共振成像(MRI)和 FDG-PET/CT 上的定量参数是否具有预测 cCRT 早期反应的潜力。
回顾性分析了 46 例接受 FDG-PET/CT 和 MRI 分期后行 cCRT 的 LACC 患者。在 FDG-PET/CT、T2 加权(T2W)-MRI 和弥散加权 MRI(DWI)上勾画原发肿瘤体积,以提取以下定量参数:T2W 体积;T2W 信号;DWI 体积;ADC;ADC;MTV;和 SUV。结果是早期治疗反应,定义为化疗开始后 3-4 周 MRI 上的残留肿瘤体积(在开始近距离治疗之前):残留肿瘤体积<10cm 的患者被分类为早期反应者。使用双向变量选择的多变量逻辑回归分析,将成像参数与 FIGO 分期一起分析,以评估其预测早期反应的性能。使用 bootstrap 进行的留一法交叉验证模拟了新的、独立数据集的性能。
在多变量分析中,T2W 体积(OR 0.94,=0.003)和 SUV(OR 1.15,=0.18)被确定为独立预测因子,在原始数据集中生成了 AUC 为 0.82 的模型,在交叉验证中 AUC 为 0.68(95%CI 0.41-0.81)。
尽管在这个小的探索性数据集上的预测性能有限,但这些初步数据表明,基线 MRI 和 FDG-PET/CT 上的参数(特别是治疗前肿瘤体积)可能有助于预测宫颈癌 cCRT 的早期反应。