Cai Wei, Zhu Yongjian, Teng Ze, Li Dengfeng, Feng Qinfu, Jiang Zhichao, Cong Rong, Chen Zhaowei, Liu Siyun, Zhao Xinming, Ma Xiaohong
Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Oncol. 2023 Apr 14;13:1155555. doi: 10.3389/fonc.2023.1155555. eCollection 2023.
The aim of this study was to evaluate the significance of baseline computed tomography (CT) imaging features and carbohydrate antigen 19-9 (CA19-9) in predicting prognosis of locally advanced pancreatic cancer (LAPC) receiving intraoperative radiotherapy (IORT) and to establish a progression risk nomogram that helps to identify the potential beneficiary of IORT.
A total of 88 LAPC patients with IORT as their initial treatment were enrolled retrospectively. Clinical data and CT imaging features were analyzed. Cox regression analyses were performed to identify the independent risk factors for progression-free survival (PFS) and to establish a nomogram. A risk-score was calculated by the coefficients of the regression model to stratify the risk of progression.
Multivariate analyses revealed that relative enhanced value in portal-venous phase (REV-PVP), peripancreatic fat infiltration, necrosis, and CA19-9 were significantly associated with PFS (all < 0.05). The nomogram was constructed according to the above variables and showed a good performance in predicting the risk of progression with a concordance index (C-index) of 0.779. Our nomogram stratified patients with LAPC into low- and high-risk groups with distinct differences in progression after IORT ( < 0.001).
The integrated nomogram would help clinicians to identify appropriate patients who might benefit from IORT before treatment and to adapt an individualized treatment strategy.
本研究旨在评估基线计算机断层扫描(CT)影像特征和糖类抗原19-9(CA19-9)在预测接受术中放疗(IORT)的局部晚期胰腺癌(LAPC)预后中的意义,并建立一个有助于识别IORT潜在受益患者的进展风险列线图。
回顾性纳入88例以IORT作为初始治疗的LAPC患者。分析临床资料和CT影像特征。进行Cox回归分析以确定无进展生存期(PFS)的独立危险因素并建立列线图。根据回归模型的系数计算风险评分以对进展风险进行分层。
多因素分析显示门静脉期相对强化值(REV-PVP)、胰腺周围脂肪浸润、坏死和CA19-9与PFS显著相关(均P<0.05)。根据上述变量构建列线图,其在预测进展风险方面表现良好,一致性指数(C指数)为0.779。我们的列线图将LAPC患者分为低风险和高风险组,两组在IORT后的进展情况有明显差异(P<0.001)。
综合列线图将有助于临床医生在治疗前识别可能从IORT中获益的合适患者,并制定个体化治疗策略。