Key preoperative findings for predicting vascular invasion and recurrence after conversion surgery after chemotherapy in pancreatic cancer

医学 旁侵犯 血管侵犯 胰腺癌 化疗 比例危险模型 放射科 淋巴结 逻辑回归 阶段(地层学) 血管外科 癌症 内科学 外科 肿瘤科 试验预测值 血管疾病 血管 回顾性队列研究 原发性肿瘤 新辅助治疗 生存分析 淋巴血管侵犯 曲线下面积 术前护理
作者
Sungjun Hwang,Jung Hoon Kim,Junghoan Park,Rae Rim Ryu
出处
期刊:Acta Radiologica [SAGE Publishing]
卷期号:67 (2): 166-177
标识
DOI:10.1177/02841851251399897
摘要

BackgroundPancreatic cancer has poor outcomes, with vascular invasion being a critical factor in determining resectability and prognosis. Accurate assessment of vascular invasion remains challenging.PurposeTo investigate the predictors of vascular invasion and recurrence-free survival (RFS) in patients with pancreatic cancer undergoing surgery after chemotherapy using computed tomography (CT) and histopathological data, and to evaluate the diagnostic performance of CT-based vascular scoring system.Material and MethodsWe retrospectively analyzed 98 patients with pancreatic cancer showing vascular encasement on CT who underwent chemotherapy before surgery. Two reviewers evaluated baseline and preoperative CT to assess resectability. Clinicohistopathological factors were assessed. RFS was analyzed using the Kaplan-Meier method. The predictors were identified using Cox proportional hazards and logistic regression models. A 3-point scoring system quantified vascular involvement at baseline and preoperative CT, with total scores combining both time points.ResultsOf the 98 patients, 32 (32.7%) had pathologically confirmed vascular invasion. Change in tumor size (odds ratio [OR]=3.1; P = 0.022), T stage (OR=15.4; P = 0.038), and perineural invasion (OR=13.2; P = 0.028) predicted vascular invasion. Total vascular scores strongly correlated with vascular invasion (areas under the curve=0.924 and 0.803). Median RFS was 21 months, influenced by lymph node involvement at baseline and preoperative CT (hazard ratio [HR]=2.3; P = 0.009 and HR=2.6; P = 0.013, respectively), tumor differentiation (HR=3.3; P = 0.047), and elevated CA 19-9 (HR=2.8; P = 0.019).ConclusionChanges in tumor size on CT, T stage, and perineural invasion predict vascular invasion. In addition, a CT-based scoring systems can accurately predict vascular invasion after chemotherapy.
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