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Radiological assessment of local resectability status in patients with pancreatic cancer: Interreader agreement and reader performance in two different classification systems

机译:胰腺癌患者局部重新入学状态的放射性评估:两种不同分类系统中的中间人协议和读者表现

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ObjectivesTo assess the interreader agreement and reader performance in the evaluation of patients with pancreatic cancer (PC) in two classification systems of local resectability status prior to initiation of therapy, namely the National Comprehensive Cancer Network (NCCN) and Karolinska classification system (KCS). MethodsIn this ethics review board-approved retrospective study, six radiologists independently evaluated pancreatic CT-examinations of 30 patients randomly selected from a tertiary referral centre’s multidisciplinary tumour board database. Based on well-defined criteria of tumour-vessel relationship, each patient was assigned to one of three NCCN and six KCS categories. We assessed the intraclass correlation coefficient (ICC) and compared the percentages of correct tumour classification of the six readers in both systems (Chi-square test; aP-value <0.05 was considered significant). The standard of reference was a consensus evaluation of CT-examinations by three readers not involved in the image analysis. ResultsThe ICC for NCCN and KCS was 0.82 and 0.84, respectively (very strong agreement). The percentages of correct tumour classification at NCCN and KCS were 53–83% and 30–57%, respectively, with no statistically significant differences in the overall reader comparison per classification system. In pair-wise comparison between readers for NCCN/KCS, there were statistically significant differences between reader 5 vs. readers 4 (P?=?0.012) and 3 (P?=?0.045)/ reader 5 vs. reader 4 (P?=?0.037). ConclusionInterreader agreement in both PC classification systems is very strong. NCCN may be advantageous in terms of reader performance compared to KCS.
机译:Objectivesto在对治疗开始之前的两种分类系统中评估胰腺癌(PC)评估中的Intereader协议和读者性能,即国家综合癌症网络(NCCN)和Karolinska分类系统(KCS)。方法介绍董事会审查董事会批准的回顾性研究,六位放射科医生独立评估了30名患者随机选择的30名患者的多学科肿瘤栏数据库。基于肿瘤血管关系的明确标准,将每位患者分配给三个NCCN和六个KCS类别中的一个。我们评估了脑内相关系数(ICC),并比较了两种系统中六个读者的正确肿瘤分类百分比(Chi-Square测试; AP值<0.05被认为是显着的)。参考标准是通过三名读者不参与图像分析的三个读者的CT-experation的共识评估。 NCCN和KCS的结果分别为0.82和0.84(非常强大的协议)。 NCCN和KCS的正确肿瘤分类的百分比分别为53-83%和30-57%,每个分类系统的整体读者比较没有统计学显着的差异。在NCCN / KC的读取器之间的配对比较中,读者5与读取器4之间存在统计上显着的差异(p?= 0.012)和3(p?= 0.045)/读者5与读卡器4(p? =?0.037)。结案在PC分类系统中的协议非常强劲。与KCS相比,NCCN在读者性能方面可能是有利的。

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