Department of Radiology, University of Washington School of Medicine, 1959 NE Pacific St, Box 357115, Seattle, WA, 98195, USA.
Seattle Cancer Care Alliance, 825 Eastlake Ave E, Seattle, WA, 98109, USA.
Abdom Radiol (NY). 2022 Nov;47(11):3770-3781. doi: 10.1007/s00261-022-03638-7. Epub 2022 Aug 16.
To evaluate the significance of CT perfusion parameters predicting response to neoadjuvant therapy in patients with pancreatic ductal adenocarcinoma (PDAC).
Seventy patients with PDAC prospectively had CT perfusion acquisition incorporated into baseline multiphase staging CT. Twenty-eight who were naïve to therapy were retained for further investigation. Perfusion was performed 5-42.5 s after contrast, followed by parenchymal and portal venous phases. Blood flow (BF), blood volume (BV), and permeability surface area product (PS) were calculated using deconvolution algorithms. Patients were categorized as responders or non-responders per RECIST 1.1. Perfusion variables with AUC ≥ 0.70 in differentiating responders from non-responders were retained. Logistic regression was used to assess associations between baseline perfusion variables and response.
18 of 28 patients showed favorable response to therapy. Baseline heterogeneity variables in tumor max ROI were higher in non-responders than responders [median BF coefficient of variation (CV) 0.91 vs. 0.51 respectively, odds ratio (OR) 6.8 per one standard deviation (1-SD) increase, P = 0.047; median PS CV 1.6 vs. 0.68, OR 3.9 per 1-SD increase, P = 0.047; and median BV CV 0.75 vs. 0.54, OR = 4.0 per 1-SD increase, P = 0.047]. Baseline BV mean in tumor center was lower in non-responders than responders (median BV mean: 0.74 vs. 2.9 ml/100 g respectively, OR 0.28 per 1-SD increase, P = 0.047).
For patients with PDAC receiving neoadjuvant therapy, lower and more heterogeneous perfusion parameters correlated with an unfavorable response to therapy. Such quantitative information can be acquired utilizing a comprehensive protocol interleaving perfusion CT acquisition with standard of care multiphase CT scans using a single contrast injection, which could be used to identify surgical candidates and predict outcome.
评估 CT 灌注参数在预测胰腺导管腺癌(PDAC)患者新辅助治疗反应中的意义。
70 例 PDAC 患者前瞻性地在基线多期分期 CT 中采集 CT 灌注。28 例未接受治疗的患者被保留进一步研究。在造影后 5-42.5s 进行灌注,随后进行实质期和门静脉期。使用去卷积算法计算血流量(BF)、血容量(BV)和通透性表面积乘积(PS)。根据 RECIST 1.1 将患者分为反应者和非反应者。保留 AUC≥0.70 的灌注变量以区分反应者和非反应者。使用逻辑回归评估基线灌注变量与反应之间的关联。
28 例患者中有 18 例对治疗有良好反应。非反应者肿瘤最大 ROI 中的基线异质性变量高于反应者[BF 变异系数(CV)中位数分别为 0.91 和 0.51,OR 每增加一个标准差(1-SD)分别为 6.8,P=0.047;PS CV 中位数分别为 1.6 和 0.68,OR 每增加一个 1-SD 分别为 3.9,P=0.047;BV CV 中位数分别为 0.75 和 0.54,OR 每增加一个 1-SD 分别为 4.0,P=0.047]。非反应者肿瘤中心的基线 BV 均值低于反应者(BV 均值中位数:分别为 0.74 和 2.9ml/100g,OR 每增加一个 1-SD 分别为 0.28,P=0.047)。
对于接受新辅助治疗的 PDAC 患者,较低且异质性更高的灌注参数与治疗反应不良相关。这种定量信息可以通过使用单注对比剂,在标准护理多期 CT 扫描中与常规 CT 灌注扫描相结合的综合方案来获取,这可能有助于识别手术候选者并预测结果。