Object: Data regarding the long-term efficacy of Gamma knife surgery on a large series of patients with low-grade gliomas is lacking. We aimed to review the outcome of patients with low-grade gliomas undergoing Gamma knife surgery at the Lars Leksell Gamma Knife Center at the University of Virginia to clarify its role in the management of these lesions.
Methods: A retrospective review of 49 patients treated between 1989 and 2003 was conducted. The median follow up was 63 months. Gamma knife surgery was generally performed for tumors in eloquent brain, residual tumor post-surgery or for late progression after surgery.
Results: Median clinical progression free survival was 44 months and median radiological progression free survival was 37 months. Five-year radiological progression free survival was 37% while clinical progression free survival was 41%. Mortality due to tumor progression occurred in 7 patients (14%). Complete radiological remission was seen in 14 patients (29%). Complications due to Gamma surgery were seen in 4 patients (8%). Of these, two resolved without sequelae, one required surgery for neurological decline and associated radiation induced changes, and one patient suffered a permanent neurological deficit from treatment.
Conclusion: Gamma knife radiosurgery is a safe treatment for low-grade gliomas and may be considered in patients with residual or recurrent disease.
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http://dx.doi.org/10.1227/01.neu.0000186011.79029.3b | DOI Listing |
No Shinkei Geka
January 2025
Department for Neurosurgery, Aichi Cancer Center.
Historically, metastatic spinal tumors have been treated using open spinal fixation, invasive decompressive techniques, and low-dose palliative conventional external beam radiotherapy. As patients with metastatic disease are now living longer, the need for long-term local tumor control is becoming important. Spine stereotactic body radiotherapy has emerged as a valuable alternative option to achieve long-term local tumor control by delivering high doses of radiation to tumors and sparing the spinal cord.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Cariology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, 600 077, India.
Neurosurg Rev
January 2025
Department of Neurosurgery, Pamukkale University School of Medicine, Kim Burchiel Gamma Knife Center, Denizli, Türkiye, Turkey.
This study aims to demonstrate the effect of gamma knife radiosurgery (GKRS) on symptoms, hemorrhage rates, and histopathological changes in patients with cavernous malformations (CMs), regardless of whether the symptomatic lesions are hemorrhagic. This single-center retrospective study evaluated symptomatic patients with single CMs treated with GKRS between 2016 and 2023. The patients' demographic data, presenting symptoms, GKRS radiation dose, complications developed during follow-up (hemorrhage, radiotoxicity), the rate of symptom improvement, and histopathological changes of surgically removed CMs were recorded.
View Article and Find Full Text PDFRadiat Oncol
January 2025
ISTCT UMR 6030-CNRS, Université de Caen-Normandie, Caen, France.
Background: Radiotherapy as a complement or an alternative to neurosurgery has a central role in the treatment of skull base grade I-II meningiomas. Radiotherapy techniques have improved considerably over the last two decades, becoming more effective and sparing more and more the healthy tissue surrounding the tumour. Currently, hypo-fractionated stereotactic radiotherapy (SRT) for small tumours and normo-fractionated intensity-modulated radiotherapy (IMRT) or proton-therapy (PT) for larger tumours are the most widely used techniques.
View Article and Find Full Text PDFMed 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.
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