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Study of automatic treatment planning of intensity-modulated radiotherapy based on deep learning technique for breast cancer patients
Fan Jiawei1, Chen Zhi2, Wang Jiazhou1, Hu Weigang1
1 Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College Fudan University, Shanghai 200032, China; 2 Department of Medical Physics, Shanghai Proton and Heavy Ion Center, Shanghai 201321, China
AbstractObjective To develop a deep learning-based approach for predicting the dose distribution of intensity-modulated radiotherapy (IMRT) for breast cancer patients, and evaluate the feasibility of applying the predicted dose distribution in the automatic treatment planning. Methods A total of 240 patients with left breast cancer admitted to Fudan University Shanghai Cancer Center were enrolled in this study:200 cases in the training dataset, 20 cases in the validation dataset and 20 cases in the testing dataset. A modified deep residual neural network was trained to establish the relationship between CT image, the contouring images of target area and organs at risk (OARs) and the dose distribution, aiming to predict the dose distribution. The predicted dose distribution was utilized as the optimization objective function to optimize and generate a high-quality plan. Results Compared with the dose distribution of clinical treatment plan, the predicted dose distribution for target areas and OARs showed no statistical significance except for a simultaneous boost target PTV48Gy. And the treatment plan generated based on the predicted dose distribution was basically consistent with the predicted outcomes. Conclusion Our results demonstrate that the deep learning-based approach for predicting the dose distribution of IMRT for breast cancer contributes to further achieving the goal of automatic treatment planning.
Fund:National Natural Science Foundation of China (11675042,11805039);Shanghai New Frontier Technology Joint Research Project (SHDC12016118)
Corresponding Authors:
Hu Weigang, Email:jackhuwg@gmail.com
Cite this article:
Fan Jiawei,Chen Zhi,Wang Jiazhou et al. Study of automatic treatment planning of intensity-modulated radiotherapy based on deep learning technique for breast cancer patients[J]. Chinese Journal of Radiation Oncology, 2020, 29(8): 671-675.
Fan Jiawei,Chen Zhi,Wang Jiazhou et al. Study of automatic treatment planning of intensity-modulated radiotherapy based on deep learning technique for breast cancer patients[J]. Chinese Journal of Radiation Oncology, 2020, 29(8): 671-675.
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2020, Vol. 29 
