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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

Modern General Practice

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Modern General Practice 2024年第1期 45-49页

作者： Fu Hang Cheeloo College of Medicine Shandong UniversityShandong Jinan250012

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 *** 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(pinduced 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(pinduced 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 ***,this study has limitations such as a limited sample size and being a single-center *** research with multi-center,large-sample,and more in-depth investigations is needed.

关键词： Artificial intelligence Intensity-modulated radiotherapy Locally advanced cervical cancer Rectal dose Bladder dose radiotherapy-induced injury

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