Cyberknife Radiotherapy on Dose Distribution Of Targets: Effect of Different Treatment Paths On Medical Image Diagnostics

Objective: To analyze the effects of different treatment paths of cyberkinfe (CK) radiotherapy on dose distribution parameters, and to design three treatment paths for medical diagnostics. Methods: Based on medical image analysis, the retrospective study of 10 patients with 18 brain tumors who received CK treatment in our hospital is performed. The mean volume of the tumors was 15.5 +/- 10.44 cc, and two dose limiting rings were added for each tumor, which were 4 mm 7 mm and 10 mm far away from the targets. The isocentric treatment model was selected for relatively regular six targets, and the non-isocentric model was chosen for the others. The target distribution of each tumor was observed. Results: For the six regular tumors, the first treatment path had the significant difference from the other two paths in CI (conformity index), NCI (The New conformity index), Coverage and the number of treatment nodes Node, and the difference had statistical significance. For CI, the P values were 0.019, 0.076 and 0.819, respectively. For NCI, the P values were 0.031, 0.733 and 0.014, respectively. For coverage of tumors, P values were 0.009, 0.960 and 0.032, respectively. For the number of treatment nodes, P values were 0.000, 0.584 and 0.000, respectively. For the 12 tumors for which non-isocentric treatment mode was applied, For the 12 tumors for which non-isocentric treatment mode was applied, 4 cm tumors were selected for analysis. 20 mm collimator was used to gain the optimal dose conformality and relatively appropriate treatment time. Conclusion: The three paths of CK treatment planning system differ obviously in the application process. Therefore, the choice of treatment path is important, and the node endangering the organ side near the target should be avoided. When non-isocentric treatment mode is chosen for the irregular target, and the collimator with the size of 70% short diameter of tumor is selected, tumor treatment time and conformality can be optimized.