The impact of artificial intelligence-assisted intensity-modulated radiotherapy plan optimization on the radiation doses received by the rectum and bladder as well as radiation-induced injuries in patients with locally advanced cervical cancer

This study aimed to investigate the impact of artificial intelligence-assisted intensity-modulated radiotherapy(IMRT)plan optimization on the radiation doses received by the rectum and bladder as well as radiation-induced injuries in patients with locally advanced cervical cancer.A total of 100 patients with locally advanced cervical cancer were enrolled and divided into a conventional IMRT group and an artificial intelligence-assisted IMRT group.The results showed that in terms of the radiation doses to the rectum and bladder,all dosimetric parameters(such as mean dose,maximum dose,and volume-dose parameters,etc.)in the artificial intelligence-assisted group were significantly lower than those in the conventional group(p<0.05).Regarding radiation-induced injuries,the incidences and severities of both acute and late radiation-induced proctitis and cystitis in the artificial intelligence-assisted group were lower than those in the conventional group(p<0.05).These findings suggest that artificial intelligence-assisted IMRT plan optimization can effectively reduce the radiation doses to the rectum and bladder and decrease radiation-induced injuries in patients with locally advanced cervical cancer,which is expected to provide a more precise and safer treatment strategy for radiotherapy of locally advanced cervical cancer.However,this study has limitations such as a limited sample size and being a single-center study.Future research with multi-center,large-sample,and more in-depth investigations is needed.

恶性肿瘤患者放射性口腔黏膜炎的防治进展

恶性肿瘤是威胁人类生命的常见疾病之一，在美国，每年仅头颈部恶性肿瘤患者就大约有42000人。70％以上的肿瘤患者在病情不同阶段要进行化疗和（或）放疗。放疗是头颈部肿瘤综合治疗的重要方法之一，但放疗也带来一些不良反应，最常见的不良反应是放射性口腔黏膜炎，又称放疗诱发性口腔黏膜炎（Radiotherapy-induced oralmucositis，RTOM）（以下简称RTOM），在头颈部放疗患者中发生率为85％～100％]，影响患者生存质量和对后续治疗的依从性，严重时可能会终止治疗方案。