Skull frame attachment is one of the most significant issues with Gamma Knife radiosurgery. Because of the potential for suffering by patients, careful control of the frame position is required to avoid circumstances such as collision between the frame or the patient's head and the collimator helmet, and inaccessible target coordinates. This study sought to develop a simulation method to find the appropriate frame location on the patient's head by retrospective analysis of treatment plans for brain metastasis cases. To validate the accuracy of the collision warning, we compared the collision distance calculated using Leksell GammaPlan (LGP) with actual measured distances. We then investigated isocenter coordinates in near-collision cases using data from 844 previously treated patients and created a clearance map by superimposing them on CT images for just the frame, post and stereotactic fiducial box. The differences in distance between the simulation in LGP and the measured values were <1.0 mm. In 177 patients, 213 lesions and 461 isocenters, there was a warning of one possible collision. The clearance map was helpful for simulating appropriate skull frame placement. The clearance simulation eliminates the psychological stress associated with potential collisions, and enables more comfortable treatment for the patient.
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http://dx.doi.org/10.1093/jrr/rru057 | DOI Listing |
Med Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFNeurosurgery
January 2025
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Background And Objectives: Understanding and managing seizure activity is crucial in neuro-oncology, especially for highly epileptogenic lesions like isocitrate dehydrogenase (IDH)-mutant gliomas. Advanced MRI techniques such as diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) have been used to describe microstructural changes associated with epilepsy. However, their role in tumor-related epilepsy (TRE) remains unclear.
View Article and Find Full Text PDFNeurosurgery
January 2025
Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Background And Objectives: Jugular paragangliomas (JPG) pose a surgical challenge because of their vascularity and complex location. Stereotactic radiosurgery (SRS) offers a minimally invasive management for patients with JPG. Our aim was to evaluate outcomes of Gamma Knife radiosurgery (GKRS) for the treatment of JPG over the long term.
View Article and Find Full Text PDFSci Rep
January 2025
Radiation Safety and Quality Assurance division, National Cancer Center Hospital East, Chiba, 277-8577, Japan.
The impact of three-dimensional (3D) dose delivery accuracy of C-arm linacs on the planning target volume (PTV) margin was evaluated for non-coplanar intracranial stereotactic radiosurgery (SRS). A multi-institutional 3D starshot test using beams from seven directions was conducted at 22 clinics using Varian and Elekta linacs with X-ray CT-based polymer gel dosimeters. Variability in dose delivery accuracy was observed, with the distance between the imaging isocenter and each beam exceeding 1 mm at one institution for Varian and nine institutions for Elekta.
View Article and Find Full Text PDFEur J Cancer
January 2025
National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark. Electronic address:
Introduction: Advances in modern therapies have improved outcomes for patients with melanoma brain metastases (MBM), though prognosis remains poor. The optimal treatment strategy for patients who do not meet clinical trial inclusion criteria is unclear.
Methods: This study included all patients with MBM diagnosed in Denmark between 2015 and 2022, identified through the Danish Metastatic Melanoma Database (DAMMED) and local surgical and radiotherapy records.
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