Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 480
- 试验地点
- 1
- 主要终点
- RTOG/EROTC Acute Radiation Reaction Scoring Standard
研究概览
简要总结
The goal of this observational study is to apply the CNN-based DL method to extract the three-dimensional spatial information of IMRT dose distribution to predict the occurrence probability of serious radiotherapy and chemotherapy induced oral mucositis(SRCOM), and compare with a model based on dosimetry, NTCP or doseomics to improve the prediction accuracy of SRCOM, thus guiding the clinical planning design, reducing the occurrence probability of OM, and may have the potential value of preventing serious complications and improving the quality of life in patients with nasopharyngeal carcinoma.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Initial diagnosis, pathological histological diagnosis, the pathological type is non-keratotic carcinoma (according to the WHO pathological classification).
- •Initial intensity-modulated radiotherapy (Intensity modulated radiation therapy, IMRT).
- •No previous radiotherapy was received.
排除标准
- •Patients with recurrent nasopharyngeal carcinoma.
- •Radiotherapy plan cannot be obtained.
- •Previous history of malignancy; previous radiotherapy.
- •The primary lesion and cervical metastatic lesions have received surgical treatment (except for diagnostic treatment).
结局指标
主要结局
RTOG/EROTC Acute Radiation Reaction Scoring Standard
时间窗: through radiation therapy, an average of 7 weeks
Toxicity records of oral mucosal Reaction in patients are conducted by professionally trained oncologists
次要结局
未报告次要终点
研究者
Fang-Yun Xie
professor
Sun Yat-sen University