Suppr超能文献

胃癌患者术前淋巴结转移的评估:丸山计算机程序的评价

Preoperative assessment of lymph node metastases in patients with gastric cancer: evaluation of the Maruyama computer program.

作者信息

Bollschweiler E, Boettcher K, Hoelscher A H, Sasako M, Kinoshita T, Maruyama K, Siewert J R

机构信息

Department of Surgery, Technical University, Munich, Germany.

出版信息

Br J Surg. 1992 Feb;79(2):156-60. doi: 10.1002/bjs.1800790221.

Abstract

The probability of survival of patients with gastric cancer depends upon depth of wall penetration by the primary tumour and metastatic lymph node burden. Radical lymphadenectomy may lead to prolonged survival but with increased morbidity. A computer program from Maruyama, National Cancer Centre, Tokyo enables evaluation of individual survival time and infiltration of lymph nodes. This analysis was applied to a German population. Computer-aided predictions were determined retrospectively using the prognostic factors of sex, age, Borrmann classification, histology, depth of wall penetration, location and diameter of the tumour. Data were collected from 222 patients at the Technical University of Munich (median age 66 years, sex ratio (M:F) 2:1), who had been operated on (72 per cent total gastrectomy, 28 per cent subtotal gastrectomy) for gastric cancer. The predicted results were compared with the postoperative pathological findings. The prediction of node metastases was highly accurate (lymph nodes 13-16, 96 per cent; 7-12, 89 per cent; 1-6, 82 per cent). These computer predictions may provide perioperative information of therapeutic value.

摘要

胃癌患者的生存概率取决于原发肿瘤侵犯胃壁的深度以及转移淋巴结的负荷。根治性淋巴结清扫术可能会延长患者的生存期,但会增加发病率。东京国立癌症中心丸山开发的一个计算机程序能够评估个体的生存时间以及淋巴结浸润情况。该分析应用于德国人群。利用性别、年龄、Borrmann分类、组织学类型、胃壁侵犯深度、肿瘤位置和直径等预后因素,对计算机辅助预测结果进行回顾性分析。数据收集自慕尼黑工业大学的222例患者(中位年龄66岁,男女比例为2:1),这些患者均接受了胃癌手术(72%为全胃切除术,28%为胃次全切除术)。将预测结果与术后病理结果进行比较。对淋巴结转移的预测准确率很高(第13 - 16组淋巴结,准确率96%;第7 - 12组淋巴结,准确率89%;第1 - 6组淋巴结,准确率82%)。这些计算机预测结果可为围手术期提供具有治疗价值的信息。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验