Computer scientists introduced CAFM v4, a multi-encoder deep learning framework that achieved high benchmark classification accuracy across five magnetic resonance ...
A multicenter study demonstrates that deep learning and hybrid models analyzing preoperative magnetic resonance imaging can identify medulloblastoma molecular subgroups ...
A retrospective study of 51 cases reveals that ventricular primary central nervous system lymphoma exhibits diverse T2-weighted MRI signals and ...
Circulating microRNAs offer minimally invasive potential for diagnosing and monitoring pediatric brain tumors, though non-vesicular small RNAs face technical hurdles ...
A multicentre phase II platform trial protocol establishes sequential testing of zanubrutinib monotherapy and combinations for relapsed primary central nervous ...
A retrospective comparative study of 148 brain tumor patients demonstrated that single-tracer fluoromisonidazole positron emission tomography achieved the highest overall ...
A cross-cohort transcriptomic study found context-dependent tissue associations for SIGLEC1 in recurrent glioblastoma but failed to confirm consistent longitudinal biomarker ...
Researchers have developed a supratentorial-specific prognostic nomogram for H3 K27-altered diffuse midline glioma based on an individual patient data meta-analysis.
A retrospective case series reveals that multicentric IDH-mutant gliomas often harbor discordant molecular drivers and differing pathological grades between separate ...
In a registry study of forty-seven brain metastasis patients, carmustine wafer implantation achieved a 23-month median overall survival with low ...
Off-target binding to non-neoplastic oligodendrocytes and endothelial cells reduces radiation delivered to glioma nuclei to roughly one-fifth of direct targeting ...
A retrospective study of 448 adults found that diffuse glioma patients previously deemed inoperable achieved awake craniotomy outcomes comparable to ...
A retrospective study shows serial serum lactate dehydrogenase dynamics can help distinguish true glioblastoma progression from post-treatment imaging changes.
Preoperative diffusion anisotropy imaging predicted the anatomical direction of temporal lobe glioblastoma recurrence more accurately than conventional FLAIR or isotropic ...
A narrative review outlines a cardio-neuro-oncology framework to address cardiovascular toxicities and overlapping clinical complications across contemporary central nervous system ...
An explainable machine learning model reliably predicts two-month treatment responses in melanoma brain metastases treated with stereotactic body radiation therapy.
A transfer learning framework adapting adult glioma models to paediatric FLAIR MRI enables fully automated F-DOPA PET segmentation and prognostic ...
A retrospective study demonstrates that electron density imaging from dual-energy CT can visualize high-grade gliomas similarly to contrast-enhanced MRI, offering ...
A systematic review found no statistically significant correlation between preclinical rodent xenograft efficacy endpoints and phase II trial outcomes in ...
A histological pilot study demonstrates that PET uptake of the radiotracer SiTATE correlates strongly and significantly with somatostatin receptor subtype ...
