Purpose: To evaluate prognostic factors in patients with glioblastoma treated with postoperative or primary radiotherapy.
Patients And Methods: From 1989 to 2000, a total of 100 patients underwent irradiation as part of their initial treatment for glioblastoma. All patients had undergone surgery or biopsy followed by conventional external-beam radiotherapy. 85 patients who received the planned dose of irradiation (60 Gy in 30 fractions) were analyzed for the influence of prognostic factors. 73/85 (86%) of patients were given postoperative irradiation, while 12/85 (14%) of patients were primarily treated with radiotherapy after biopsy.
Results: The median overall survival was 10.1 months (range, 3.7-49.8 months), the 1- and 2-year survival rates were 41% and 5%, respectively. Univariate analysis revealed age < or = 55 years (p < 0.001), pre-radiotherapy hemoglobin (Hb) level > 12 g/dl (p = 0.009), and pre-radiotherapy dose of dexamethasone < or = 2 mg/day (p = 0.005) to be associated with prolonged survival. At multivariate analysis, younger age (p < 0.001), higher Hb level (p = 0.002), lower dose of dexamethasone (p = 0.026), and a hemispheric tumor location (p = 0.019) were identified as independent prognostic factors for longer survival. The median survival for patients with an Hb level > 12 g/dl was 12.1 months compared to 7.9 months for those with a lower Hb level. Contingency-table statistics showed no significant differences for the two Hb groups in the distribution of other prognostic factors.
Conclusion: The results indicate that lower Hb level prior to radiotherapy for glioblastoma can adversely influence prognosis. This finding deserves further evaluation.
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http://dx.doi.org/10.1007/s00066-003-1097-x | DOI Listing |
Postgrad Med J
January 2025
Department of Pediatric Metabolic Diseases, University of Health Sciences, Ankara Etlik City Hospital, Ankara 06170, Turkey.
Metabolism is the name given to all of the chemical reactions in the cell involving thousands of proteins, including enzymes, receptors, and transporters. Inborn errors of metabolism (IEM) are caused by defects in the production and breakdown of proteins, fats, and carbohydrates. Micro ribonucleic acids (miRNAs) are short non-coding RNA molecules, ⁓19-25 nucleotides long, hairpin-shaped, produced from DNA.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Qingshan Lake Science and Technology Innovation Center, Hangzhou Medical College, Hangzhou, China.
Background: Ischemic stroke is a prevalent and life-threatening cerebrovascular disease that is challenging to treat and associated with a poor prognosis. Astragaloside IV (AS-IV), a primary bioactive component of Astragali radix, has demonstrated neuroprotective benefits in previous studies. This study aimed to explore the mechanisms through which AS-IV may treat cerebral ischemia-reperfusion injury (CIRI).
View Article and Find Full Text PDFActa Radiol
January 2025
R Madhavan Nayar Center for Comprehensive Epilepsy Care, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Background: The role of imaging in autoimmune encephalitis (AIE) remains unclear, and there are limited data on the utility of magnetic resonance imaging (MRI) to diagnose, treat, or prognosticate AIE.
Purpose: To evaluate whether MRI is a diagnostic and prognostic marker for AIE and assess its efficacy in distinguishing between various AIE subtypes.
Material And Methods: We analyzed data from 96 AIE patients from our prospective autoimmune registry.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Study Question: How accurately can artificial intelligence (AI) models predict sperm retrieval in non-obstructive azoospermia (NOA) patients undergoing micro-testicular sperm extraction (m-TESE) surgery?
Summary Answer: AI predictive models hold significant promise in predicting successful sperm retrieval in NOA patients undergoing m-TESE, although limitations regarding variability of study designs, small sample sizes, and a lack of validation studies restrict the overall generalizability of studies in this area.
What Is Known Already: Previous studies have explored various predictors of successful sperm retrieval in m-TESE, including clinical and hormonal factors. However, no consistent predictive model has yet been established.
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