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Making a Subjective Notion Computer-Interpretable: The Case of the Tumour-Volume to Breast-Volume Ratio for the Surgical Decision of Breast Cancer

机译:制作主观概念计算机可解释:乳腺癌外科决策的肿瘤体积与乳腺量比的情况

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Clinical practice guidelines (CPGs) often include ambiguous criteria making their translation as computer-interpretable guidelines a difficult task. In breast cancer management, whether to perform a breast conservative surgery (BCS) or not is one example. Most international CPGs recommend to perform a BCS when the tumour volume / breast volume ratio allows for good cosmetic results, which cannot be directly translated into a computable format. We propose to compute an estimate of the ratio using the maximum size of the tumour to compute the tumour volume and the bra size to compute the breast volume. In addition, we take into account the location of the tumour according to quadrants and unions of quadrants. The model has been tested on a retrospective sample of 34 clinical decisions of a breast cancer unit in a Parisian university hospital (France). Concordance was found in 91.2% of the cases, with good sensibility and specificity. This finding could set a new pathway to advance on the development of actionable decision criteria to be used in a future clinical decision support system for breast cancer management.
机译:临床实践指南(CPG)通常包括模糊标准,使其翻译为计算机可解释的准则是一项艰巨的任务。在乳腺癌管理中,是否执行乳房保守手术(BCS)是一个例子。大多数国际CPGS建议在肿瘤体积/乳房量比允许良好的化妆品效果时进行BCS,这不能直接翻译成可计算的格式。我们建议使用肿瘤的最大尺寸来计算与肿瘤的最大尺寸来计算肿瘤体积和胸罩尺寸以计算乳腺量。此外,我们根据象限和象限的工会考虑肿瘤的位置。该模型已经在巴黎大学医院(法国)的乳腺癌单位的34个临床决策的回顾性样本上进行了测试。在91.2%的病例中发现了一致性,具有良好的敏感性和特异性。这一发现可以设立一个新的途径,以推进可操作决策标准的发展,以便在未来的乳腺癌管理中使用的临床决策支持系统。

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