Opening book details…
Can I read Evaluation of Optimization Workflow Using Custom-made Planning Through Predicted Dose Distribution for Head and Neck Tumor Treatment on EtoBox?
Evaluation of Optimization Workflow Using Custom-made Planning Through Predicted Dose Distribution for Head and Neck Tumor Treatment by Kentaro Miki; Martijn Kusters; Takeo Nakashima; Akito Saito; Daisuke Kawahara; Ikuno Nishibuchi; Tomoki Kimura; Yuji Murakami; Yasushi Nagata is a Medicine article available to read on EtoBox.
What is Evaluation of Optimization Workflow Using Custom-made Planning Through Predicted Dose Distribution for Head and Neck Tumor Treatment about?
## Purpose: Lack of a reference dose distribution is one of the challenges in the treatment planning used in volumetric modulated arc therapy because numerous manual processes result from variations in the location and size of a tumor in different cases. in this study, a predicted dose distribution was generated using two independent methods. treatment planning using the predicted distribution was compared with the clinical value, and its efficacy was evaluated. ## Methods: Computed tomography scans of 81 patients with oropharynx or hypopharynx tumors were acquired retrospectively. the predicted dose distributions were determined using a modified filtered back projection (mfbp) and a hierarchically densely connected u-net (hd-unet). optimization parameters were extracted from the predicted distribution, and the optimized dose distribution was obtained using a commercial treatment planning system. ## Results: In the test data from ten patients, significant differences between the mfbp and clinical plan were observed for the maximum dose of the brain stem, spinal cord, and mean dose of the larynx. a significant difference between the dose distributions from the hd-unet dose and the c
Who reads Evaluation of Optimization Workflow Using Custom-made Planning Through Predicted Dose Distribution for Head and Neck Tumor Treatment?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Kentaro Miki; Martijn Kusters; Takeo Nakashima; Akito Saito; Daisuke Kawahara; Ikuno Nishibuchi; Tomoki Kimura; Yuji Murakami; Yasushi Nagata
- Publisher
- Elsevier BV
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)