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人工智能时代的质瘤放射治疗:当前的应用和未来的前景
Xin Wang1, Zhaoyang Qi1, Qin Zeng2
1Department of Pediatric Surgery, Zigong First People's Hospital, Zigong, China.
Frontiers in oncology
|September 29, 2025
概括
本综述探讨了质瘤放射治疗的进展,包括新技术和人工智能 (AI). 人工智能集成显示了个性化,数据驱动的治疗策略的前景,以改善脑瘤患者的治疗结果.
科学领域:
- 神经瘤学神经瘤学
- 辐射瘤学 辐射瘤学
- 医疗成像医学成像
背景情况:
- 质瘤,特别是高度质母细胞瘤 (GBM),具有很高的复发率和不良预后.
- 放射治疗是手术后质瘤治疗的关键组成部分.
- 技术进步,如IMRT,质子疗法和FLASH放射疗法,提高了治疗的精度.
研究的目的:
- 审查质瘤放射治疗技术的演变.
- 探索人工智能 (AI) 在质瘤放射治疗中的整合和影响.
- 讨论个性化和适应性放射治疗的未来方向.
主要方法:
- 对质瘤现有和新兴的放射治疗技术的审查.
- 探索人工智能应用,包括放射学,深度学习和预测建模.
- 讨论临床挑战和潜在的解决方案在质瘤放射治疗的规划和交付.
主要成果:
- 先进的放射治疗技术提高了精度和瘤控制.
- 人工智能工具在增强图像解释,自动化轮和优化治疗计划方面显示出潜力.
- 人工智能可以帮助预测质瘤患者的临床结果.
结论:
- 人工智能越来越多地被整合到质瘤放射治疗中,为个性化和数据驱动的策略提供了潜力.
- 未来的研究应该专注于实施由人工智能告知的适应性和精确性放射治疗.
- 解决诸如瘤异质性和规划可变性等挑战是改善患者治疗结果的关键.
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