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Development of an automatic analysis system for radiotherapy planning / 中华放射肿瘤学杂志
Chinese Journal of Radiation Oncology ; (6): 358-362, 2020.
Article in Chinese | WPRIM | ID: wpr-868612
ABSTRACT

Objective:

An automatic analysis system for radiotherapy planning was developed to realize the automatic analysis of dose parameters of radiotherapy planning through the intelligent analysis of the underlying data of Pinnacle 3 treatment planning system (TPS).

Methods:

The radiotherapy plans of 12 patients with esophagus cancer were analyzed. The automatic analysis system automatically retrieved the Pinnacle 3 TPS database, obtained the raw data of 12 cases of treatment plan, and automatically analyzed the underlying raw data, reconstructed contours, radiation fields, and dose parameters, and recalculated dose distribution and dose-volume histograms. The accuracy of the recalculation of the volume and dose data of the new system was evaluated by comparing with volume and dose data from the original plans of online TPS.

Results:

The automatic analysis system successfully parsed the underlying data of the treatment plan and reconstructed the parameters of the treatment plan. The volume deviation between the contour calculated by the new system and the original plans was ≤0.1%; Compared with the reference dose of the original plans, the deviations of dose parameters (D max, D mean, D 95, and D 50 for GTV, PGTV, CTV, and PTV) recalculated by the new analysis system were ≤1.0%; The deviations of D max and D mean of recalculated ROIs from the original plans were <5%.

Conclusions:

The automatic analysis system can directly analyze the underlying data of the Pinnacle 3 TPS treatment plan, reconstruct the treatment plan, calculate the contour volume and dose parameters, and the dose deviations from the original plans meet clinical requirements
Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Radiation Oncology Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Radiation Oncology Year: 2020 Type: Article