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Correlations between features of surgical treatment and outcomes in patients with glioblastomas

Year: 2024
Type: article
Abstract: A comprehensive analysis of factors affecting the outcomes of surgical treatment for glioblastoma, one of the most aggressive types of brain tumors, has been conducted. The study focused on the significance of factors such as tumor location, extent of resection, and individual patient characteristics, including age, comorbidities, and overall health. It was determined that the volume of tumor resection is a key prognostic factor influencing patient survival; the greater the tumor removal, the better the chances for long­term survival. However, total resection is often complicated by the tumor’s location in critical brain areas, which can limit the possibility of complete removal. Particular emphasis is placed on an interdisciplinary approach to treatment, involving close collaboration among neurosurgeons, oncologists, radiologists, and other specialists. This coordination aims to optimize the treatment process and improve its effectiveness.The study also examines the use of adjuvant therapy and its impact on treatment outcomes. Adjuvant therapy post­surgery contributes to reducing the risk of recurrence and improving overall patient survival. The main conclusions emphasize the importance of an individualized approach to each glioblastoma case, considering specific risk factors and the patient’s overall condition. For younger patients with fewer comorbidities, more extensive surgery and intensive adjuvant therapy may be recommended, while older patients or those with complex medical conditions may benefit from a more conservative approach. These findings could aid in developing more effective treatment strategies and improving prognosis for patients with glioblastoma. They also emphasize the importance of continuous monitoring of patients post­treatment to timely identify potential recurrences and adapt therapeutic measures according to changes in the patient’s health status.
Language: English
Subfield: Genetics
Field: Medicine
Open Access status: diamond
OpenAlex ID: W4407585658
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