ENETS TNM分期预测小肠神经内分泌肿瘤的预后。

ISRN oncology Pub Date : 2013-01-01 Epub Date: 2013-02-28 DOI:10.1155/2013/420795
Rajaventhan Srirajaskanthan, A Ahmed, A Prachialias, P Srinivasan, N Heaton, N Jervis, A Quaglia, G Vivian, J K Ramage
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引用次数: 21

摘要

介绍。小肠神经内分泌肿瘤(NETs)是最常见的胃肠道神经内分泌肿瘤。这些肿瘤的发病率和流行率都在上升。本研究的目的是确定预后的临床病理特征,以及ENETS TNM分期系统是否预测预后。方法。回顾性收集了国王学院医院138例经组织学证实的小肠NETs患者的临床资料。组织学回顾和小肠肿瘤,根据ENETS TNM分期系统分期。结果。中位年龄为65岁(29-87岁)。5年生存率为79.5%,10年生存率为48.5%。原发肿瘤切除与生存率提高相关(120个月vs 56个月,P < 0.05)。在多因素分析中,预后因素为原发肿瘤切除和无类癌性心脏病。TNM分期将2期和3期NETs与4期NETs的生存率显著分开。结论。小肠原发肿瘤切除和无类癌性心脏病是预后因素。ENETS TNM分期和分级系统似乎与小肠NETs的预后相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

ENETS TNM Staging Predicts Prognosis in Small Bowel Neuroendocrine Tumours.

ENETS TNM Staging Predicts Prognosis in Small Bowel Neuroendocrine Tumours.

ENETS TNM Staging Predicts Prognosis in Small Bowel Neuroendocrine Tumours.

Introduction. Small bowel neuroendocrine tumours (NETs) are the most common type of gastrointestinal neuroendocrine tumours. The incidence and prevalence of these tumours are on the rise. The aims of this study were to determine prognostic clinicopathological features and whether the ENETS TNM staging system predicts prognosis and also. Method. Clinical data was collected retrospectively from 138 patients with histologically proven small bowel NETs managed at King's College Hospital. Histology was reviewed and small bowels tumours, were staged according to the ENETS TNM staging system. Results. Median age was 65 years (range 29-87). The 5-year survival was 79.5% and the 10-year survival was 48.5%. Resection of the primary tumour was associated with improved survival (120 versus 56 months, P < 0.05). On multivariate analysis prognostic factors were primary tumour resection and not having a carcinoid heart disease. TNM staging significantly separated survival of stage 2 and stage 3 from stage 4 NETs. Conclusion. Small bowel primary tumour resection and not having carcinoid heart disease are prognostic factors. The ENETS TNM staging and grading system appears to be of prognostic relevance to small bowel NETs.

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