Smahi Abdeslem, Lakhal Othman, Chettibi Taha, Sanz Lopez Mario, Pasquier David, Merzouki Rochdi
CRIStAL, CNRS-UMR 9189, University of Lille, Villeneuve d'Ascq, France.
Department of Mechanical Engineering, Blida-1 University, Blida, Algeria.
Front Robot AI. 2024 Aug 12;11:1416662. doi: 10.3389/frobt.2024.1416662. eCollection 2024.
In this paper, we introduce an advanced robotic system integrated with an adaptive optimization algorithm, tailored for Brachytherapy in prostate cancer treatment. The primary innovation of the system is the algorithm itself, designed to dynamically adjust needle trajectories in response to the real-time movements of the prostate gland during the local intervention.
The system employs real-time position data extracted from Magnetic Resonance Imaging (MRI) to ensure precise targeting of the prostate, adapting to its constant motion and deformation. This precision is crucial in Brachytherapy, where the accurate placement of radioactive seeds directly impacts the efficacy of the treatment and minimizes damage to surrounding safe tissues.
Our results demonstrate a marked improvement in the accuracy of radiation seed placement, directly correlating to more effective radiation delivery. The adaptive nature of the algorithm significantly reduces the number of needle insertions, leading to a less invasive treatment experience for patients. This reduction in needle insertions also contributes to lower risks of infection and shorter recovery times.
This novel robotic system, enhanced by the adaptive optimization algorithm, improves the coverage of targets reached by a traditional combinatorial approach by approximately 15% with fewer required needles. The improved precision and reduced invasiveness highlight the potential of this system to enhance the overall effectiveness and patient experience in prostate cancer Brachytherapy.
在本文中，我们介绍了一种集成了自适应优化算法的先进机器人系统，该系统专为前列腺癌近距离放射治疗量身定制。该系统的主要创新点在于算法本身，其设计目的是在局部干预过程中，根据前列腺的实时运动动态调整针的轨迹。
该系统利用从磁共振成像（MRI）中提取的实时位置数据，以确保对前列腺进行精确靶向，适应其持续的运动和变形。这种精确性在近距离放射治疗中至关重要，因为放射性种子的准确放置直接影响治疗效果，并将对周围安全组织的损伤降至最低。
我们的结果表明，放射性种子放置的准确性有显著提高，这与更有效的放射剂量传递直接相关。算法的自适应特性显著减少了针的插入次数，为患者带来了侵入性较小的治疗体验。针插入次数的减少也有助于降低感染风险和缩短恢复时间。
这种由自适应优化算法增强的新型机器人系统，通过所需针数更少，将传统组合方法所覆盖的目标范围提高了约15%。更高的精确性和更低的侵入性凸显了该系统在提高前列腺癌近距离放射治疗的整体有效性和患者体验方面的潜力。
