CT预估老年胃肠道神经内分泌肿瘤病理分级的可行性研究

The Feasibility Study on CT Features in Predicting the Pathological Grading of GI-NENs in the Elderly

中文关键词: 胃肠道肿瘤  神经内分泌肿瘤  体层摄影术  X线计算机

英文关键词: gastrointestinal neoplasms  neuroendocrine neoplasms  tomography  x-ray computed

中文摘要:

      目的 探讨CT特征在预测老年人胃肠道神经内分泌肿瘤(GI-NENs)病理分级的价值.方法 回顾性分析经手术病理证实为GI-NENs,且临床、影像及病理资料完整的34例患者.分析肿瘤的CT表现,包括肿瘤部位、长径、生长方式、边缘、密度、强化特点、坏死或溃疡、邻近脏器侵犯及淋巴结转移、远处转移等.参照WH0 2010版消化系统肿瘤分级系统标准,将肿瘤的病理分级分为G1、G2、G3级.3组间定量指标采用单因素方差分析,定性指标采用卡方检验.年龄与其它因素的相关性分析采用单因素方差分析及独立样本t检验.结果 G1、G2与G3这3组肿瘤发病年龄、部位、长径、坏死或溃疡、淋巴结转移差异有统计学意义(P＜0.05),生长方式、边缘、强化程度及均匀度、邻近组织侵犯及远处转移间差异无统计学意义(P＞0.05).年龄和发病部位间差异有统计学意义(P＜0.05).结论 CT检查预估GI-NEN的病理分级是可行的,可作为治疗的分级依据.

英文摘要:

      Objective To investigate the value of CT features in predicting the pathological grading of gastrointestinal neuroendocrine neoplasms (GI-NENs) in the elderly.Methods A retrospective analysis was made clinical,imaging and pathological data of 34 elderly with GI-NEN confirmed by surgery and pathological study.CT imaging analysis included tumor location,long diameter,growth pattern,lesion margins,density,enhancement patterns,necrosis or ulceration,transmural invasion,adjacent organ invasion and metastases of lymph mode and distant organs;histopathological grade of GI-NENs was defined as G1 (group G1),G2 (group G2) and G3 (group G3) according to World Health Organization classification of tumours of the digestive system guidelines (2010);one-way ANOVA was made to the quantitative indexes in the 3 groups while Chi-square test to qualitative indexes;the correlation between age and other factors was analyzed by one-way ANOVA and independent t-test.Results There existed statistical differences in tumor location,long diameter,necrosis or ulceration and lymphadenopathy among the 3 groups (P ＜ 0.05) while no statistical differences in growth pattern,lesion margins,density,enhancement patterns,adjacent tissue infiltration and distant organ metastasis among the 3 groups (P＞0.05);the differences in age and tumor lesion among the 3 groups were of statistical significance (P＜0.05).Conclusions CT features is feasible in predicating the pathological grading of GI-NENs,which can be taken as grading basis in the treatment.