Fuchs B, Gronchi A
Sarcoma Center/IPU, Department of Orthopaedics and Trauma, LUKS University Hospital, Lucerne; Faculty of Health Research & Medicine, University of Lucerne, Lucerne, Switzerland.
Department of Surgical Oncology, Fondazione IRCCS, Istituto Nazionale die Tumori, Via Giacomo Venezian, Milano, Italy.
ESMO Open. 2024 Dec;9(12):103734. doi: 10.1016/j.esmoop.2024.103734. Epub 2024 Dec 5.
The landscape of sarcoma treatment has evolved significantly, transitioning from amputations to limb-sparing surgeries, underpinned by advancements in multidisciplinary strategies. The establishment of specialized sarcoma centers has been pivotal, though challenges in accessibility and expertise persist. This manuscript proposes the Sarcoma Hub and Spoke Model (HASM) network to address these issues, enhancing coordination and expanding access to specialized care. The HASM network centralizes complex case management at hubs while peripheral spokes manage routine diagnostics and treatments, optimizing resource use and ensuring patient-centered care. Integration with digital interoperable platforms facilitates real-time/real-world data exchange, supports multidisciplinary team meetings, and enables advanced predictive analytics such as Sarcoma Digital Twins and causal machine learning for personalized treatment. The Sarcoma Care Data Warehouse further enhances this model by aggregating comprehensive patient data, supporting quality assessment and continuous improvement. This innovative approach aims to set a new standard for sarcoma care, leveraging technology and collaborative expertise to improve outcomes globally.
肉瘤治疗领域已发生显著演变,从截肢手术过渡到保肢手术,这得益于多学科策略的进步。专门的肉瘤中心的建立至关重要,尽管在可及性和专业知识方面仍存在挑战。本手稿提出肉瘤中心辐射模型(HASM)网络以解决这些问题,加强协调并扩大获得专科护理的机会。HASM网络在中心集中管理复杂病例,而周边分支负责常规诊断和治疗,优化资源利用并确保以患者为中心的护理。与数字可互操作平台集成有助于实时/真实世界数据交换,支持多学科团队会议,并实现诸如肉瘤数字孪生和因果机器学习等先进的预测分析以进行个性化治疗。肉瘤护理数据仓库通过汇总全面的患者数据进一步完善该模型,支持质量评估和持续改进。这种创新方法旨在为肉瘤护理树立新标准,利用技术和协作专业知识改善全球治疗效果。