ALMo：交互式目标-限制定义的多目标系统，用于宫颈癌高剂量率近距离治疗计划与可视化
ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer
AI总结：
ALMo是一种用于宫颈癌高剂量率近距离治疗的交互式多目标系统，通过自动化参数设置和直观的剂量学权衡控制，提高治疗计划质量和效率。
摘要：
在复杂的临床决策中，医生必须跟踪由目标（理想）和限制（严格）阈值定义的多种竞争性指标。在这些高维权衡中推断出最优的患者特定策略在认知上具有挑战性，历史上容易产生变异性。在本文中，我们针对宫颈癌高剂量率（HDR）近距离治疗的规划问题，其中规划需要严格管理辐射热点，同时在肿瘤覆盖与器官保护之间进行平衡。我们提出了ALMo（目标-限制定义多目标系统），一个交互式决策支持系统，旨在推断并执行医生的意图。ALMo采用了一种新的优化框架，通过自动化参数设置减少手动输入，并允许对毒性风险进行灵活控制。关键在于，该系统允许医生通过直接操作直观的目标和限制值来导航剂量学权衡的帕累托表面。在回顾性评估25个临床病例时，ALMo生成的治疗计划始终满足或超过了手动规划的质量，65%的病例显示出剂量学的改进。此外，该系统显著提高了效率，将平均规划时间减少到约17分钟，相比传统的30-60分钟。虽然已在近距离治疗中得到验证，但ALMo展示了一个通用的框架，用于在多准则临床决策中简化交互。
英文摘要：
In complex clinical decision-making, clinicians must often track a variety of competing metrics defined by aim (ideal) and limit (strict) thresholds. Sifting through these high-dimensional tradeoffs to infer the optimal patient-specific strategy is cognitively demanding and historically prone to variability. In this paper, we address this challenge within the context of High-Dose-Rate (HDR) brachytherapy for cervical cancer, where planning requires strictly managing radiation hot spots while balancing tumor coverage against organ sparing. We present ALMo (Aim-Limit-defined Multi-Objective system), an interactive decision support system designed to infer and operationalize clinician intent. ALMo employs a novel optimization framework that minimizes manual input through automated parameter setup and enables flexible control over toxicity risks. Crucially, the system allows clinicians to navigate the Pareto surface of dosimetric tradeoffs by directly manipulating intuitive aim and limit values. In a retrospective evaluation of 25 clinical cases, ALMo generated treatment plans that consistently met or exceeded manual planning quality, with 65% of cases demonstrating dosimetric improvements. Furthermore, the system significantly enhanced efficiency, reducing average planning time to approximately 17 minutes, compared to the conventional 30-60 minutes. While validated in brachytherapy, ALMo demonstrates a generalized framework for streamlining interaction in multi-criteria clinical decision-making.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
