Büttner Stefan, Ayez Ninos, Olthof Pim B
Amphia ziekenhuis, afd. Chirurgie, Breda.
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Ned Tijdschr Geneeskd. 2024 Sep 17;168:D8191.
During multidisciplinary team meetings, treatment plans are discussed for patients with colorectal cancer. Guidelines and protocols guide these decisions, but these are also dependent on the perception of the treatment outcomes by the involved specialists. With the increasing treatment options for increasingly older patients with more comorbidities, predicting outcomes for specific subgroups becomes more challenging. In a survey pertaining to treatment outcomes, we found that surgeons' estimations are not very accurate, especially not for specific risk groups. The limited accuracy of predicted outcomes affects decisions during the multidisciplinary team meetings and during the shared decision-making process in the outpatient clinic. Utilizing existing data-driven as well as innovative AI-enhanced methods to predict outcomes, can help to better inform patients and make both the multidisciplinary team meetings and the shared decision-making more precise.
在多学科团队会议期间，会讨论结直肠癌患者的治疗方案。指南和协议指导这些决策，但这些也取决于相关专家对治疗结果的认知。随着针对合并症越来越多的老年患者的治疗选择不断增加，预测特定亚组的结果变得更具挑战性。在一项关于治疗结果的调查中，我们发现外科医生的估计不太准确，尤其是对于特定风险组。预测结果的有限准确性会影响多学科团队会议期间以及门诊共同决策过程中的决策。利用现有的数据驱动方法以及创新的人工智能增强方法来预测结果，有助于更好地为患者提供信息，并使多学科团队会议和共同决策更加精确。
