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Purpose: We aimed to analyze our radiotherapy protocol by evaluating its effect on recurrence patterns and survival outcomes.
Methods: We assessed 69 patients diagnosed with IDH-wild-type glioblastoma who underwent chemoradiotherapy at our institution from January 2014 to January 2021. A high-risk clinical target volume (CTV) was created with a 1 cm margin in all directions from the GTV, while a low-risk clinical target volume (CTV) was established with a 2 cm margin. Planned treatment volumes with a 2-3 mm margin in all directions were created, and doses of 60 and 50 Gy were prescribed in 30 fractions. Recurrence patterns were classified as central, in-field, marginal, or distant based on the 60 and 50 Gy D95 isodose lines.
Results: With a median follow-up of 21 months, 88.4% of patients experienced recurrence. The overall survival rates at 1, 2, and 5 years were 84.1%, 51.5%, and 17%, respectively. The progression-free survival rates at the same intervals were 44.9%, 21.5%, and 9.5%, respectively. Recurrence patterns were central in 63.9%, in-field in 18%, marginal in 4.9%, and distant in 13.1%.
Conclusion: The recurrence pattern remained unchanged with our protocol. With longer survival times, distant recurrence rates increase, yet central and in-field recurrences remain dominant. Despite the decrease in the volume that received the 60 Gy dose, marginal recurrences remained at a notably low level.
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http://dx.doi.org/10.1111/ajco.70014 | DOI Listing |
Nat Rev Urol
September 2025
Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Low-grade non-muscle invasive bladder cancer is a specific category of bladder cancer with a favourable prognosis; however, its management presents several challenges. The risk of stage progression is very low, but approximately half of patients will experience recurrence within the first 5 years after diagnosis. This high propensity for recurrence, coupled with the threat of progression, mandates ongoing surveillance.
View Article and Find Full Text PDFLeukemia
September 2025
University Children's Hospital Zurich, Pediatric Oncology and Children's Research Center, Zurich, Switzerland.
Acute lymphoblastic leukemia (ALL) preferentially localizes in the bone marrow (BM) and displays recurrent patterns of medullary and extra-medullary involvement. Leukemic cells exploit their niche for propagation and survive selective pressure by chemotherapy in the BM microenvironment, suggesting the existence of protective mechanisms. Here, we established a three-dimensional (3D) BM mimic with human mesenchymal stromal cells and endothelial cells that resemble vasculature-like structures to explore the interdependence of leukemic cells with their microenvironment.
View Article and Find Full Text PDFBMJ Case Rep
September 2025
Ophthalmology, Federal University of Parana, Curitiba, Brazil
Neuroretinitis (NR) is characterised by optic disc oedema associated with macular exudates in a star-shaped pattern. Several aetiologies of NR have been described, with cat-scratch disease being the most common. However, despite thorough investigations, one-quarter of cases are classified as idiopathic neuroretinitis (INR), in which visual prognosis is generally good.
View Article and Find Full Text PDFPLoS One
September 2025
Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, São Paulo, Brazil.
Background: Reinfections with SARS-CoV-2 have gained increasing relevance in the context of emerging immune-evasive variants and waning population immunity. Understanding their frequency and distribution is essential to guide public health strategies, particularly in middle-income countries. This study investigates the epidemiological patterns of SARS-CoV-2 reinfections in Espírito Santo, Brazil, using integrated notification and vaccination databases.
View Article and Find Full Text PDFChaos
September 2025
School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
Although many real-world time series are complex, developing methods that can learn from their behavior effectively enough to enable reliable forecasting remains challenging. Recently, several machine-learning approaches have shown promise in addressing this problem. In particular, the echo state network (ESN) architecture, a type of recurrent neural network where neurons are randomly connected and only the read-out layer is trained, has been proposed as suitable for many-step-ahead forecasting tasks.
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