Comparison of dosimetric parameters and robustness for rotational errors in fractionated stereotactic irradiation using automated noncoplanar volumetric modulated arc therapy for patients with brain metastases: single- versus multi-isocentric technique.
Yuki YamamotoShingo OhiraNaoyuki KanayamaShoki InuiYoshihiro UedaYuhei KoikeMasayoshi MiyazakiTeiji NishioMasahiko KoizumiKoji KonishiPublished in: Radiological physics and technology (2023)
To compare the dosimetric parameters of automated noncoplanar volumetric modulated arc therapy plans using single-isocentric (SIC) and multi-isocentric (MIC) techniques for patients with two brain metastases (BMs) in stereotactic irradiation and to evaluate the robustness of rotational errors. The SIC and MIC plans were retrospectively generated (35 Gy/five fractions) for 58 patients. Subsequently, a receiver operating characteristic curve analysis between the tumor surface distance (TSD) and V 25Gy was performed to determine the thresholds for the brain tissue. The SIC and MIC plans were recalculated based on the rotational images to evaluate the dosimetric impact of rotational error. The MIC plans showed better brain tissue sparing for TSD > 6.6 cm. The SIC plans provided a significantly better conformity index for TSD ≤ 6.6 cm, while significantly lower gradient index was obtained (3.22 ± 0.56vs. 3.30 ± 0.57, p < 0.05) in the MIC plans with TSD > 6.6 cm. For organs at risk (OARs) (brainstem, chiasm, lens, optic nerves, and retinas), D 0.1 cc was significantly lower (p < 0.05) in the MIC plans than in the SIC plans. The prescription dose could be delivered (D 99% ) to the gross tumor volume (GTV) for patients with TSD ≤ 6.6 cm when the rotational error was < 1°, whereas 31% of the D 99% of GTV fell below the prescription dose with TSD > 6.6 cm. MIC plans can be an optimal approach for reducing doses to OARs and providing robustness against rotational errors in BMs with TSD > 6.6 cm.
Keyphrases
- brain metastases
- health insurance
- small cell lung cancer
- radiation therapy
- deep learning
- machine learning
- patient safety
- end stage renal disease
- newly diagnosed
- emergency department
- optical coherence tomography
- ejection fraction
- chronic kidney disease
- prognostic factors
- brain injury
- patient reported outcomes
- radiation induced
- multiple sclerosis
- mesenchymal stem cells
- monte carlo
- cell therapy
- cerebral ischemia
- replacement therapy