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首页> 外文期刊>Annals of Oncology >Long-term outcome prediction by clinicopathological risk classification algorithms in node-negative breast cancer—comparison between Adjuvant!, St Gallen, and a novel risk algorithm used in the prospective randomized Node-Negative-Breast Cancer-3 (NNBC-3) trial
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Long-term outcome prediction by clinicopathological risk classification algorithms in node-negative breast cancer—comparison between Adjuvant!, St Gallen, and a novel risk algorithm used in the prospective randomized Node-Negative-Breast Cancer-3 (NNBC-3) trial

机译:通过淋巴结阴性乳腺癌的临床病理风险分类算法进行长期结果预测-佐剂,St Gallen与前瞻性随机淋巴结阴性乳腺癌-3(NNBC-3)试验中使用的新型风险算法之间的比较

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摘要

Background: Defining risk categories in breast cancer is of considerable clinical significance. We have developed a novel risk classification algorithm and compared its prognostic utility to the Web-based tool Adjuvant! and to the St Gallen risk classification.
机译:背景:在乳腺癌中定义风险类别具有重要的临床意义。我们开发了一种新颖的风险分类算法,并将其预后效用与基于Web的工具Adjuvant!进行了比较。并归入St Gallen风险分类。

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