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-ind...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.展开更多
文摘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.
