Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
Eur J Radiol. 2023 May;162:110756. doi: 10.1016/j.ejrad.2023.110756. Epub 2023 Mar 5.
To clarify the relationship between extracellular volume (ECV) measured by dual-energy CT (DECT) and efficacy of preoperative neoadjuvant chemotherapy (NAC) in patients with pancreatic ductal adenocarcinoma (PDAC), as compared with single-energy CT (SECT).
We enrolled 67 patients with PDAC who underwent dynamic contrast-enhanced CT with a dual-energy CT system prior to NAC. Attenuation values were measured on unenhanced and the equilibrium-phase 120-kVp equivalent CT images for PDAC and the aorta. ΔHU-tumor, ΔHU-tumor/ΔHU-aorta, and SECT-ECV were calculated. Iodine densities of the tumor and aorta were measured in the equilibrium phase, and DECT-ECV of the tumor was calculated. Response to NAC was evaluated and the correlation between imaging parameters and response to NAC was statistically assessed.
Tumor DECT-ECVs were significantly lower in the response group (n = 7) than in the non-response group (n = 60), with most significant difference (p = 0.0104). DECT-ECV showed highest diagnostic value with an Az value of 0.798. When using the optimal cut off value of DECT-ECV (<26.0 %), sensitivity, specificity, accuracy, positive predictive value, and negative value for predicting response group were 71.4 %, 85.0 %, 83.6 %, 35.7 % and 96.2 %, respectively.
PDAC with lower DECT-ECV can potentially show better response to NAC. DECT-ECV might be a useful biomarker for predicting response to NAC in patients with PDAC.
通过与单能 CT(SECT)相比,明确双能 CT(DECT)测量的细胞外容积(ECV)与胰腺导管腺癌(PDAC)患者术前新辅助化疗(NAC)疗效之间的关系。
我们纳入了 67 例在接受 NAC 前接受双能 CT 系统动态对比增强 CT 检查的 PDAC 患者。在未增强和 120kVp 等效 CT 图像的平衡相上测量 PDAC 和主动脉的衰减值。计算 ΔHU-肿瘤、ΔHU-肿瘤/ΔHU-主动脉和 SECT-ECV。在平衡相中测量肿瘤和主动脉的碘密度,并计算肿瘤的 DECT-ECV。评估 NAC 反应,并对成像参数与 NAC 反应的相关性进行统计学评估。
反应组(n=7)的肿瘤 DECT-ECV 明显低于无反应组(n=60),差异具有统计学意义(p=0.0104)。DECT-ECV 的诊断价值最高,Az 值为 0.798。当使用 DECT-ECV 的最佳截断值(<26.0%)时,预测反应组的敏感性、特异性、准确性、阳性预测值和阴性值分别为 71.4%、85.0%、83.6%、35.7%和 96.2%。
DECT-ECV 较低的 PDAC 可能对 NAC 反应更好。DECT-ECV 可能是预测 PDAC 患者 NAC 反应的有用生物标志物。