Background And Purpose: Ghent University Hospital investigated the feasibility of the Pinnacle system for planning intracranial stereotactic treatments. The aim was to perform precise dose computation using the collapsed cone engine for treatment delivery with the Moduleaf mini-MLC mounted on an Elekta accelerator.
Material And Methods: The Moduleaf was commissioned using dose rate corrected data recorded by a diamond detector and using data measured by cylindrical chambers each limited to restricted field sizes.
Results: Automatic modeling resulted in clinical relevant dose errors up to 10%. Using manual modeling in Pinnacle, for clinical applicable fields a 2%/2 mm agreement between modeled data and measurements was obtained.
Conclusion: The overall accuracy of the collapsed cone algorithm is within tolerances for single fraction stereotactic treatments.
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http://dx.doi.org/10.1007/s00066-007-1733-y | DOI Listing |
Acta Neuropathol Commun
January 2025
Department of Neurosurgery, University of California, Los Angeles, CA, USA.
The incidence of brain metastases (BrM) in patients with metastatic melanoma is reported to be 30-50% and constitutes the third most frequent BrM after breast and renal cancers. Treatment strategies including surgical resection, stereotactic radiation, and immunotherapy have improved clinical response rates and overall survival, but the changes that occur in circulating melanoma cells to promote invasion of the brain are not fully understood. To investigate brain tropism, we generated new variants of the B16 mouse melanoma model by serially passaging B16 cells through the brain of immune competent syngeneic C57BL/6 mice.
View Article and Find Full Text PDFClin Lung Cancer
December 2024
Department of Radiation Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA. Electronic address:
Ann Transl Med
December 2024
Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
Transl Cancer Res
December 2024
Division of Respiratory Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Cureus
December 2024
Anna and Peter Brojde Lung Cancer Center, Sir Mortimer B. Davis Jewish General Hospital, McGill University, Montreal, CAN.
Background A minority of patients receiving stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC) are not good responders. Radiomic features can be used to generate predictive algorithms and biomarkers that can determine treatment outcomes and stratify patients to their therapeutic options. This study investigated and attempted to validate the radiomic and clinical features obtained from early-stage and oligometastatic NSCLC patients who underwent SBRT, to predict local response.
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