Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma

ObjectiveAutomatic planning is a commonly used alternative to manual planning. This study evaluated the clinical performance of automatic plans available in commercial treatment planning systems for nasopharyngeal carcinoma (NPC) treatment by comparing automatic planning with manual planning. Method...

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Main Authors: Enwei MO, Lei YU, Jiyou PENG, Long YANG, Jiazhou WANG, Weigang HU
Format: Article
Language:zho
Published: Editorial Office of Chinese Journal of Medical Instrumentation 2025-01-01
Series:Zhongguo yiliao qixie zazhi
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Online Access:https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240159
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author Enwei MO
Lei YU
Jiyou PENG
Long YANG
Jiazhou WANG
Weigang HU
author_facet Enwei MO
Lei YU
Jiyou PENG
Long YANG
Jiazhou WANG
Weigang HU
author_sort Enwei MO
collection DOAJ
description ObjectiveAutomatic planning is a commonly used alternative to manual planning. This study evaluated the clinical performance of automatic plans available in commercial treatment planning systems for nasopharyngeal carcinoma (NPC) treatment by comparing automatic planning with manual planning. MethodsA total of 14 patients with nasopharyngeal carcinoma were enrolled in the study. For each patient, three different sets of clinical goals were used to generate three hybrid automatic plans based on 3D dose distribution prediction and three automatic plans based on script, respectively, which were compared with the manual plans used in clinic. ResultsThe dose coverage performance of the automatic planning based on 3D dose distribution prediction on the planning target volume (PTV) was comparable to that of the manual planning. Automatic planning based on 3D dose prediction achieved the level of manual planning in most organs at risk. However, automatic planning based on scripts did not perform well in the prediction of some organs at risk, especially the parotid gland. ConclusionThe hybrid automatic plan based on 3D dose distribution prediction can reach the level of manual planning and have good robustness with the change of clinical objective.
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publisher Editorial Office of Chinese Journal of Medical Instrumentation
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series Zhongguo yiliao qixie zazhi
spelling doaj-art-88439aa0bab44e81bcafd86edf4df2e32025-08-20T03:18:06ZzhoEditorial Office of Chinese Journal of Medical InstrumentationZhongguo yiliao qixie zazhi1671-71042025-01-01491556010.12455/j.issn.1671-7104.2401592024-0159Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal CarcinomaEnwei MO0Lei YU1Jiyou PENG2Long YANG3Jiazhou WANG4Weigang HU5Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032ObjectiveAutomatic planning is a commonly used alternative to manual planning. This study evaluated the clinical performance of automatic plans available in commercial treatment planning systems for nasopharyngeal carcinoma (NPC) treatment by comparing automatic planning with manual planning. MethodsA total of 14 patients with nasopharyngeal carcinoma were enrolled in the study. For each patient, three different sets of clinical goals were used to generate three hybrid automatic plans based on 3D dose distribution prediction and three automatic plans based on script, respectively, which were compared with the manual plans used in clinic. ResultsThe dose coverage performance of the automatic planning based on 3D dose distribution prediction on the planning target volume (PTV) was comparable to that of the manual planning. Automatic planning based on 3D dose prediction achieved the level of manual planning in most organs at risk. However, automatic planning based on scripts did not perform well in the prediction of some organs at risk, especially the parotid gland. ConclusionThe hybrid automatic plan based on 3D dose distribution prediction can reach the level of manual planning and have good robustness with the change of clinical objective.https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240159automatic planningknowledge-based planningscript-based automatic planningnasopharyngeal carcinoma
spellingShingle Enwei MO
Lei YU
Jiyou PENG
Long YANG
Jiazhou WANG
Weigang HU
Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma
Zhongguo yiliao qixie zazhi
automatic planning
knowledge-based planning
script-based automatic planning
nasopharyngeal carcinoma
title Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma
title_full Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma
title_fullStr Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma
title_full_unstemmed Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma
title_short Evaluation of Clinical Practicability of Hybrid Automatic Treatment Planning for Nasopharyngeal Carcinoma
title_sort evaluation of clinical practicability of hybrid automatic treatment planning for nasopharyngeal carcinoma
topic automatic planning
knowledge-based planning
script-based automatic planning
nasopharyngeal carcinoma
url https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240159
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AT jiyoupeng evaluationofclinicalpracticabilityofhybridautomatictreatmentplanningfornasopharyngealcarcinoma
AT longyang evaluationofclinicalpracticabilityofhybridautomatictreatmentplanningfornasopharyngealcarcinoma
AT jiazhouwang evaluationofclinicalpracticabilityofhybridautomatictreatmentplanningfornasopharyngealcarcinoma
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