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Classification tool for the systematic histological assessment of hepatocellular carcinoma, macroregenerative nodules, and dysplastic nodules in cirrhotic liver

机译:用于肝硬化肝细胞癌,大体再生结节和发育异常结节的系统组织学评估的分类工具

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AIM: To design a classification tool for the histological assessment of hepatocellular carcinoma (HCC), dysplastic nodules (DN), and macroregenerative nodules (MRN) in cirrhotic liver. METHODS: Two hundred and twelve hepatocellular nodules (106 HCC; 74 MRN; 32 DN) were assessed systematically, quantitatively, and semiquantitatively as appropriate for 10 histological features that have been described as helpful in distinguishing small HCC, DN, and MRN in cirrhotic livers. The data were analyzed by multiple correspondence analysis (MCA). RESULTS: MCA distributed HCC, DN, and MRN as defined by traditional histological evaluation as well as the individual histological variables, in a "malignancy scale". Based on the MCA data representation, we created a classification tool, which categorizes an individual nodular lesion as MRN, DN, or HCC based on the balance of all histological features (i.e., vascular invasion, capsular invasion, tumor necrosis, tumor heterogeneity, reticulin loss, capillarization of sinusoids, trabecular thickness, nuclear atypia, and mitotic activity). The classification tool classified most (83%) of a validation set of 47 nodules in the same way as the routine histological assessment. No discrepancies were present for DN and MRN between the routine histological assignment and the classification tool. Of 25 HCC assigned by routine assessment in the validation set, 8 were assigned to the DN category by the classification tool. CONCLUSION: We have designed a classification tool for the histological assessment of HCC and its putative precursors in cirrhotic liver. Application of this tool systematically records histological features of diagnostic importance in the evaluation of small HCC.
机译:目的:设计一种分类工具,用于肝硬化肝细胞癌(HCC),增生性结节(DN)和大体再生结节(MRN)的组织学评估。方法:系统地,定量和半定量地评估了112个肝细胞结节(106 HCC; 74 MRN; 32 DN),以描述有助于区分肝硬化肝中小的HCC,DN和MRN的10种组织学特征。数据通过多重对应分析(MCA)进行分析。结果:MCA散布了传统组织学评估所定义的HCC,DN和MRN以及各个组织学变量,并呈“恶性程度”。基于MCA数据表示,我们创建了一个分类工具,根据所有组织学特征(即血管浸润,包膜浸润,肿瘤坏死,肿瘤异质性,网状蛋白)的平衡,将单个结节性病变分为MRN,DN或HCC损失,正弦曲线的毛细血管化,小梁厚度,核非典型性和有丝分裂活动)。分类工具以与常规组织学评估相同的方式对47个结节的验证集中的大多数(83%)进行了分类。在常规组织学分配和分类工具之间,DN和MRN没有差异。在验证集中通过常规评估分配的25种HCC中,有8种通过分类工具分配给DN类别。结论:我们设计了一种分类工具,用于肝硬化肝癌及其假定前体的组织学评估。该工具的应用系统地记录了在评估小肝癌中具有重要诊断意义的组织学特征。

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