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Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet
CONCLUSIONS: In this study, error magnitude prediction models with dose difference, gamma distribution, and RDD + EDD are established based on ResNet. The accurate prediction of the error magnitude under different error types can provide reference for error analysis in patient-specific QA.PMID:38457139 | DOI:10.3233/XST-230251 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Ying Huang Yifei Pi Kui Ma Xiaojuan Miao Sichao Fu Aihui Feng Duan Yanhua Qing Kong Weihai Zhuo Zhiyong Xu Source Type: research

Anatomical changes and dosimetric analysis of the neck region based on FBCT for nasopharyngeal carcinoma patients during radiotherapy
CONCLUSION: Significant anatomic and dosimetric changes were observed in the target volumes and OARs. Based on the identified thresholds, replanning at approximately 20 fractions is crucial to ensure adequate target volumes dose and avoid overdosing to the OARs. This approach is clinically feasible and strongly recommended, particularly for centers without access to an adaptive planning system.PMID:38457140 | DOI:10.3233/XST-230280 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Aoqiang Chen Xuemei Chen Xiaobo Jiang Yajuan Wang Feng Chi Dehuan Xie Meijuan Zhou Source Type: research

Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet
CONCLUSIONS: In this study, error magnitude prediction models with dose difference, gamma distribution, and RDD + EDD are established based on ResNet. The accurate prediction of the error magnitude under different error types can provide reference for error analysis in patient-specific QA.PMID:38457139 | DOI:10.3233/XST-230251 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Ying Huang Yifei Pi Kui Ma Xiaojuan Miao Sichao Fu Aihui Feng Duan Yanhua Qing Kong Weihai Zhuo Zhiyong Xu Source Type: research

Anatomical changes and dosimetric analysis of the neck region based on FBCT for nasopharyngeal carcinoma patients during radiotherapy
CONCLUSION: Significant anatomic and dosimetric changes were observed in the target volumes and OARs. Based on the identified thresholds, replanning at approximately 20 fractions is crucial to ensure adequate target volumes dose and avoid overdosing to the OARs. This approach is clinically feasible and strongly recommended, particularly for centers without access to an adaptive planning system.PMID:38457140 | DOI:10.3233/XST-230280 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Aoqiang Chen Xuemei Chen Xiaobo Jiang Yajuan Wang Feng Chi Dehuan Xie Meijuan Zhou Source Type: research

Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet
CONCLUSIONS: In this study, error magnitude prediction models with dose difference, gamma distribution, and RDD + EDD are established based on ResNet. The accurate prediction of the error magnitude under different error types can provide reference for error analysis in patient-specific QA.PMID:38457139 | DOI:10.3233/XST-230251 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Ying Huang Yifei Pi Kui Ma Xiaojuan Miao Sichao Fu Aihui Feng Duan Yanhua Qing Kong Weihai Zhuo Zhiyong Xu Source Type: research

Anatomical changes and dosimetric analysis of the neck region based on FBCT for nasopharyngeal carcinoma patients during radiotherapy
CONCLUSION: Significant anatomic and dosimetric changes were observed in the target volumes and OARs. Based on the identified thresholds, replanning at approximately 20 fractions is crucial to ensure adequate target volumes dose and avoid overdosing to the OARs. This approach is clinically feasible and strongly recommended, particularly for centers without access to an adaptive planning system.PMID:38457140 | DOI:10.3233/XST-230280 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Aoqiang Chen Xuemei Chen Xiaobo Jiang Yajuan Wang Feng Chi Dehuan Xie Meijuan Zhou Source Type: research

Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet
CONCLUSIONS: In this study, error magnitude prediction models with dose difference, gamma distribution, and RDD + EDD are established based on ResNet. The accurate prediction of the error magnitude under different error types can provide reference for error analysis in patient-specific QA.PMID:38457139 | DOI:10.3233/XST-230251 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Ying Huang Yifei Pi Kui Ma Xiaojuan Miao Sichao Fu Aihui Feng Duan Yanhua Qing Kong Weihai Zhuo Zhiyong Xu Source Type: research

Anatomical changes and dosimetric analysis of the neck region based on FBCT for nasopharyngeal carcinoma patients during radiotherapy
CONCLUSION: Significant anatomic and dosimetric changes were observed in the target volumes and OARs. Based on the identified thresholds, replanning at approximately 20 fractions is crucial to ensure adequate target volumes dose and avoid overdosing to the OARs. This approach is clinically feasible and strongly recommended, particularly for centers without access to an adaptive planning system.PMID:38457140 | DOI:10.3233/XST-230280 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Aoqiang Chen Xuemei Chen Xiaobo Jiang Yajuan Wang Feng Chi Dehuan Xie Meijuan Zhou Source Type: research

Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet
CONCLUSIONS: In this study, error magnitude prediction models with dose difference, gamma distribution, and RDD + EDD are established based on ResNet. The accurate prediction of the error magnitude under different error types can provide reference for error analysis in patient-specific QA.PMID:38457139 | DOI:10.3233/XST-230251 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Ying Huang Yifei Pi Kui Ma Xiaojuan Miao Sichao Fu Aihui Feng Duan Yanhua Qing Kong Weihai Zhuo Zhiyong Xu Source Type: research

Anatomical changes and dosimetric analysis of the neck region based on FBCT for nasopharyngeal carcinoma patients during radiotherapy
CONCLUSION: Significant anatomic and dosimetric changes were observed in the target volumes and OARs. Based on the identified thresholds, replanning at approximately 20 fractions is crucial to ensure adequate target volumes dose and avoid overdosing to the OARs. This approach is clinically feasible and strongly recommended, particularly for centers without access to an adaptive planning system.PMID:38457140 | DOI:10.3233/XST-230280 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Aoqiang Chen Xuemei Chen Xiaobo Jiang Yajuan Wang Feng Chi Dehuan Xie Meijuan Zhou Source Type: research

Predicting the error magnitude in patient-specific QA during radiotherapy based on ResNet
CONCLUSIONS: In this study, error magnitude prediction models with dose difference, gamma distribution, and RDD + EDD are established based on ResNet. The accurate prediction of the error magnitude under different error types can provide reference for error analysis in patient-specific QA.PMID:38457139 | DOI:10.3233/XST-230251 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Ying Huang Yifei Pi Kui Ma Xiaojuan Miao Sichao Fu Aihui Feng Duan Yanhua Qing Kong Weihai Zhuo Zhiyong Xu Source Type: research

Anatomical changes and dosimetric analysis of the neck region based on FBCT for nasopharyngeal carcinoma patients during radiotherapy
CONCLUSION: Significant anatomic and dosimetric changes were observed in the target volumes and OARs. Based on the identified thresholds, replanning at approximately 20 fractions is crucial to ensure adequate target volumes dose and avoid overdosing to the OARs. This approach is clinically feasible and strongly recommended, particularly for centers without access to an adaptive planning system.PMID:38457140 | DOI:10.3233/XST-230280 (Source: Journal of X-Ray Science and Technology)
Source: Journal of X-Ray Science and Technology - March 8, 2024 Category: Radiology Authors: Aoqiang Chen Xuemei Chen Xiaobo Jiang Yajuan Wang Feng Chi Dehuan Xie Meijuan Zhou Source Type: research