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A Volumetric Method for Quantification of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage
Published on: July 28, 2018
A hybrid volumetric dose verification method for single-isocenter multiple-target cranial SRS
Saeed Ahmed1,2, Jeff Kapatoes3, Geoffrey Zhang1
1Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA.
This study validates the PerFraction system for volumetric dose verification in stereotactic radiosurgery (SRS) VMAT treatments. The system demonstrated high accuracy, with 99.2% agreement with film measurements, supporting its use in clinical practice.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiosurgery
Background:
- Accurate dose verification is crucial for stereotactic radiosurgery (SRS) Volumetric Modulated Arc Therapy (VMAT).
- Commercial systems like PerFraction (PF) aim to streamline this process by integrating data from electronic portal imaging devices and accelerator log files.
Purpose of the Study:
- To validate the PerFraction (PF) system for semi-empirical volumetric dose verification in SRS VMAT treatments.
- To assess the agreement between PF-reconstructed dose and absolute film measurements.
Main Methods:
- PerFraction (PF) system used multi-leaf collimator positions from EPID movies and accelerator log files to reconstruct dose.
- Dose reconstruction performed on patient CT datasets using a superposition/convolution algorithm.
- Validation conducted against radiochromic film measurements in a cylindrical phantom for multi-target SRS VMAT plans.
Main Results:
- Planar dose agreement between PF and film was 99.2 ± 1.1% using 3%/1 mm gamma analysis.
- Point dose differences in low-gradient areas were below 3%.
- Submillimeter agreement in dose centroids and volumetric agreement at the 3%/1 mm level were achieved.
Conclusions:
- The PerFraction (PF) system shows high accuracy and agreement with film measurements for SRS VMAT dose verification.
- The tool is suitable for patient-specific quality assurance in routine radiosurgical clinical practice.
- Understanding the system's capabilities and limitations is key for effective clinical application.
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