Initial evaluation of automated treatment planning software
| Autor: | Benjamin E. Nelms, Eduardo G. Moros, Kujtim Latifi, Vladimir Feygelman, Dawn Gintz, Geoffrey Zhang, Jimmy J. Caudell |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Organs at Risk
medicine.medical_specialty Wilcoxon signed-rank test treatment plan quality Patient Care Planning 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Text mining Statistical significance medicine Gross' disease Radiation Oncology Physics Humans Radiology Nuclear Medicine and imaging Radiation treatment planning Instrumentation Radiation business.industry Radiotherapy Planning Computer-Assisted Head and neck cancer automated treatment planning Radiotherapy Dosage medicine.disease Confidence interval Surgery Target dose head and neck treatment planning Head and Neck Neoplasms 030220 oncology & carcinogenesis Radiology Radiotherapy Intensity-Modulated business Algorithms Software |
| Zdroj: | Journal of Applied Clinical Medical Physics |
| ISSN: | 1526-9914 |
| Popis: | Even with advanced inverse‐planning techniques, radiation treatment plan optimization remains a very time‐consuming task with great output variability, which prompted the development of more automated approaches. One commercially available technique mimics the actions of experienced human operators to progressively guide the traditional optimization process with automatically created regions of interest and associated dose‐volume objectives. We report on the initial evaluation of this algorithm on 10 challenging cases of locoreginally advanced head and neck cancer. All patients were treated with VMAT to 70 Gy to the gross disease and 56 Gy to the elective bilateral nodes. The results of post‐treatment autoplanning (AP) were compared to the original human‐driven plans (HDP). We used an objective scoring system based on defining a collection of specific dosimetric metrics and corresponding numeric score functions for each. Five AP techniques with different input dose goals were applied to all patients. The best of them averaged the composite score 8% lower than the HDP, across the patient population. The difference in median values was statistically significant at the 95% confidence level (Wilcoxon paired signed‐rank test p=0.027). This result reflects the premium the institution places on dose homogeneity, which was consistently higher with the HDPs. The OAR sparing was consistently better with the APs, the differences reaching statistical significance for the mean doses to the parotid glands (p |
| Databáze: | OpenAIRE |
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