For patients presenting with brain metastases, two methods of radiation treatment currently exist: stereotactic radiosurgery (SRS) and whole-brain radiation therapy (WBRT). SRS is a minimally invasive to noninvasive technique that delivers a high dose of ionizing radiation to a precisely defined focal target volume, whereas WBRT involves multiple smaller doses of radiation delivered to the whole brain. Evidence exists from randomized controlled trials for SRS in the treatment of patients with one to four brain metastases. Patients with more than four brain metastases generally receive WBRT, which can effectively treat undetected metastases and protect against intracranial relapse. However, WBRT has been associated with an increased potential for toxic neurocognitive side effects, including memory loss and early dementia, and does not provide 100% protection against relapse. For this reason, physicians at many medical centers are opting to use SRS as first-line treatment for patients with more than four brain metastases, despite evidence showing an increased rate of intracranial relapse compared with WBRT. In light of the evolving use of SRS, this review will examine the available reports on institutional trials and outcomes for patients with more than four brain metastases treated with SRS alone as first-line therapy.
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http://dx.doi.org/10.2217/cns.13.4 | 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 PDFInt J Gynecol Cancer
January 2025
Helsinki University Hospital and University of Helsinki, Department of Obstetrics and Gynecology, Helsinki, Finland; University of Helsinki, Faculty of Medicine, Helsinki University Hospital and Research Program in Applied Tumor Genomics, Department of Pathology, Helsinki, Finland.
Objective: Endometrial carcinomas with mismatch repair deficiency (MMRd) and no specific molecular profile (NSMP) are considered to have intermediate prognoses. However, potential prognostic differences between these molecular subgroups remain unclear due to the lack of standardized control for clinicopathologic factors. This study aims to evaluate outcomes of MMRd and NSMP endometrial carcinomas across guideline-based clinicopathologic risk groups.
View Article and Find Full Text PDFMicrosurgery
February 2025
Plastic and Reconstructive Surgery, Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Background: Scalp reconstruction is a challenging field for plastic surgeons. In case of large or complex defects, microsurgical-free flaps are usually required. Reconstructive failure can result in high morbidity and in some cases be life-threatening.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Department of Neurological Surgery, Weill Cornell Medicine, New York Presbyterian Hospital, New York, NY 10065, USA.
The blood-brain barrier (BBB) remains an obstacle for delivery of chemotherapeutic agents to gliomas. High grade and recurrent gliomas continue to portend a poor prognosis. Multiple methods of bypassing or manipulating the BBB have been explored, including hyperosmolar therapy, convection-enhanced delivery (CED), laser-guided interstitial thermal therapy (LITT), and Magnetic Resonance Guided Focused Ultrasound (MRgFUS) to enhance delivery of chemotherapeutic agents to glial neoplasms.
View Article and Find Full Text PDFNeurooncol Adv
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen, Germany.
Background: This study aimed to develop an automated algorithm to noninvasively distinguish gliomas from other intracranial pathologies, preventing misdiagnosis and ensuring accurate analysis before further glioma assessment.
Methods: A cohort of 1280 patients with a variety of intracranial pathologies was included. It comprised 218 gliomas (mean age 54.
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