Comparative study of gamma knife treatment between patients with metastasis and meningioma using the efficiency index
Year: 2024
Type: article
Study design: Observational Study
Abstract: Introduction: In recent years, there have been significant advancements in medical technology that have substantially improved the efficacy of brain tumor therapy. Objectives: To examine the efficacy of gamma knife in treating meningioma and metastatic brain cancer, using the efficiency index as a measure. Patients and Methods: A total of 50 individuals were treated in a retrospective study with convenience sampling technique for meningioma and metastatic brain tumors. The neurosurgeon recommended an individualized dose based on the unique attributes of the tumor, including its dimensions and classification. The investigation used the Icon iteration of the gamma knife. Results: Meningioma brain tumors had a much greater magnitude than metastatic malignancies in general. The results showed significant disparities between the two tumor types for treatment duration, extent of coverage, gradient index (GI), Paddick conformity index (PCI), and efficiency index (ƞ50%). Metastatic tumors had greater selectivity characteristics compared to meningioma tumors, with improved coverage, GI, PCI, treatment duration, and roughly 50%. The regression analysis revealed many noteworthy results about meningiomas and metastatic tumors. Significantly, there was a robust negative connection of 50% seen among the efficiency score, tumor size, coverage, PCI, and treatment duration. An association existed between the various forms of cancer and their corresponding degrees of selectivity, efficiency, and GI. Conclusion: This research shows that the assessment criteria for meningioma are superior than those for metastases. Paddick’s efficiency index provides a very accurate prediction of the efficiency of meningioma, exceeding the predictive capabilities of metastasis.
Source: Immunopathologia Persa
Authors: Marwa Ghanim Naish, Taghreed Al-Sudani, Safa Sami Hassan, Nabaa Mohammed Alazawy
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408276385