Knowledge‐based quality control of organ delineations in radiation therapy

2022 ◽  
Author(s):  
Hamidreza Nourzadeh ◽  
Cheukkai Hui ◽  
Mahmoud Ahmad ◽  
Nasrin Sadeghzadehyazdi ◽  
William T. Watkins ◽  
...  
Keyword(s):  
Quality Control ◽  
Radiation Therapy ◽  
Knowledge Based

scholarly journals Quantitative Comparison of Knowledge-Based and Manual Intensity Modulated Radiation Therapy Planning for Nasopharyngeal Carcinoma

2021 ◽  
Vol 10 ◽  
Author(s):  
Jiang Hu ◽  
Boji Liu ◽  
Weihao Xie ◽  
Jinhan Zhu ◽  
Xiaoli Yu ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Nasopharyngeal Carcinoma ◽  
Prediction Model ◽  
Intensity Modulated Radiation Therapy ◽  
Optic Chiasm ◽  
Conformity Index ◽  
Plan Quality ◽  
Target Dose ◽  
Knowledge Based ◽  
Knowledge Based Planning

Background and purposeTo validate the feasibility and efficiency of a fully automatic knowledge-based planning (KBP) method for nasopharyngeal carcinoma (NPC) cases, with special attention to the possible way that the success rate of auto-planning can be improved.Methods and materialsA knowledge-based dose volume histogram (DVH) prediction model was developed based on 99 formerly treated NPC patients, by means of which the optimization objectives and the corresponding priorities for intensity modulation radiation therapy (IMRT) planning were automatically generated for each head and neck organ at risk (OAR). The automatic KBP method was thus evaluated in 17 new NPC cases with comparison to manual plans (MP) and expert plans (EXP) in terms of target dose coverage, conformity index (CI), homogeneity index (HI), and normal tissue protection. To quantify the plan quality, a metric was applied for plan evaluation. The variation in the plan quality and time consumption among planners was also investigated.ResultsWith comparable target dose distributions, the KBP method achieved a significant dose reduction in critical organs such as the optic chiasm (p<0.001), optic nerve (p=0.021), and temporal lobe (p<0.001), but failed to spare the spinal cord (p<0.001) compared with MPs and EXPs. The overall plan quality evaluation gave mean scores of 144.59±11.48, 142.71±15.18, and 144.82±15.17, respectively, for KBPs, MPs, and EXPs (p=0.259). A total of 15 out of 17 KBPs (i.e., 88.24%) were approved by our physician as clinically acceptable.ConclusionThe automatic KBP method using the DVH prediction model provided a possible way to generate clinically acceptable plans in a short time for NPC patients.

Towards a new knowledge-based framework for integrated quality control planning

2021 ◽  
Vol 15 (5) ◽  
pp. 583
Author(s):  
Fadwa Oukhay ◽  
Ahmed Badreddine ◽  
Taieb Ben Romdhane
Keyword(s):  
Quality Control ◽  
Knowledge Based ◽  
New Knowledge

Optimization and validation of the knowledge-based traceability system for quality control in fish waterless live transportation

Food Control ◽  
2021 ◽  
Vol 122 ◽  
pp. 107809
Author(s):  
Wensheng Wang ◽  
Jinchao Xu ◽  
Wenfeng Zhang ◽  
Branko Glamuzina ◽  
Xiaoshuan Zhang
Keyword(s):  
Quality Control ◽  
Traceability System ◽  
Knowledge Based

scholarly journals Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases

2017 ◽  
Vol 44 (11) ◽  
pp. 5617-5626 ◽  
Author(s):  
Yang Sheng ◽  
Yaorong Ge ◽  
Lulin Yuan ◽  
Taoran Li ◽  
Fang-Fang Yin ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Outlier Identification ◽  
Knowledge Based ◽  
Knowledge Based Planning
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