首页> 外文期刊>Scandinavian journal of gastroenterology. >A prediction rule for estimating pancreatic cancer risk in chronic pancreatitis patients with focal pancreatic mass lesions with prior negative EUS-FNA cytology.
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A prediction rule for estimating pancreatic cancer risk in chronic pancreatitis patients with focal pancreatic mass lesions with prior negative EUS-FNA cytology.

机译:EUS-FNA细胞学阴性的慢性局灶性胰腺炎伴局灶性胰腺肿块的胰腺癌风险评估的预测规则。

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OBJECTIVE: Considerable false-negative endoscopic ultrasound guided fine needle aspiration (EUS-FNA) findings exist in chronic pancreatitis patients with focal pancreatic mass lesions. Our aim was to develop a prediction rule to stratify risk for pancreatic cancer in chronic pancreatitis patients with focal pancreatic mass lesions with prior negative EUS-FNA cytology. MATERIAL AND METHODS: A total of 138 eligible consecutive patients were identified from three hospitals between January 2000 and May 2008. A final diagnosis of pancreatic mass lesions was confirmed histologically or verified by a follow-up of at least 12 months. A prediction rule was developed from a logistic regression model by using a regression coefficient-based scoring method, and then internally validated by using bootstrapping. RESULTS: The rate of pancreatic cancer in the cohort was 18.1%. The prediction rule, which was scored from 0 to 10 points, comprised five variables: sex, mass location, mass number, direct bilirubin, and CA 19-9. Among the 87.7% of patients with low-risk scores ( 3). If further invasive tests were used for patients with high risk, 36% of patients with pancreatic cancer would not be missed. The prediction rule had good discrimination (area under the receiver operating characteristic curve, 0.72) and calibration (p = 0.96). CONCLUSIONS: The prediction rule can provide available risk stratification for pancreatic cancer in chronic pancreatitis patients with focal mass lesions with prior negative EUS-FNA cytology. Application of risk stratification may improve clinical decision making.
机译:目的:慢性胰腺炎伴局灶性胰腺肿块病灶存在相当多的假阴性内镜超声引导下细针穿刺(EUS-FNA)检查结果。我们的目的是开发一种预测规则,以对具有先前EUS-FNA细胞学阴性的局灶性胰腺肿块病变的慢性胰腺炎患者的胰腺癌风险进行分层。材料与方法:从2000年1月至2008年5月,从三家医院共鉴定出138例合格的连续患者。对胰腺肿块的最终诊断在组织学上得到确认或至少随访12个月。使用基于回归系数的评分方法从逻辑回归模型中开发出预测规则,然后使用自举进行内部验证。结果:队列中胰腺癌的发生率为18.1%。预测规则得分为0到10分,包括五个变量:性别,肿块位置,肿块数量,直接胆红素和CA 19-9。在低风险评分( 3)的12.3%的患者中,这种风险为52.9%(p <0.001)。如果对高危患者进行进一步的侵入性检查,将不会错过36%的胰腺癌患者。预测规则具有良好的辨别力(接收器工作特性曲线下的面积0.72)和校准(p = 0.96)。结论:该预测规则可以为具有局灶性肿块病灶且先前EUS-FNA细胞学阴性的慢性胰腺炎患者的胰腺癌提供可用的危险分层。风险分层的应用可以改善临床决策。

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