Daniel Delev
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View article: Enhancing decision-making in glioblastoma surgery through an explainable human-AI collaboration: an international multicenter model development and external validation study
Enhancing decision-making in glioblastoma surgery through an explainable human-AI collaboration: an international multicenter model development and external validation study Open
Surgical resection improves survival in glioblastoma, yet predicting the extent of resection (EOR) remains highly challenging. We developed and externally validated an explainable AI model to generate personalized EOR estimates in 811 glio…
View article: Seizures in children and adolescents with high-grade glioma: a retrospective, monocentric analysis
Seizures in children and adolescents with high-grade glioma: a retrospective, monocentric analysis Open
Present data show a high incidence of seizures in pHGG associated with supratentorial but also infratentorial location. The pediatric incidence was comparable to that in adults. The majority of the children developed repetitive seizures.
View article: Value of ultra‐high‐field <scp>MRI</scp> in patients with drug‐resistant focal epilepsy and negative <scp>3T MRI</scp> (<scp>EpiUltraStudy</scp>): Diagnostic gain of <scp>7T</scp> structural analysis
Value of ultra‐high‐field <span>MRI</span> in patients with drug‐resistant focal epilepsy and negative <span>3T MRI</span> (<span>EpiUltraStudy</span>): Diagnostic gain of <span>7T</span> structural analysis Open
Objective Resective epilepsy surgery is an evidence‐based treatment option for patients with focal drug‐resistant epilepsy (DRE). Seizure outcome after surgery is largely dependent on detection and delineation of an epileptogenic lesion on…
View article: Time flies faster in epilepsy
Time flies faster in epilepsy Open
People with epilepsy have a significantly reduced life expectancy and an increased burden of age-related comorbidities, raising the possibility that epilepsy accelerates biological aging. Seizures trigger molecular and cellular hallmarks o…
View article: P02.19.B BRAF/MAPK ACTIVATION AND NEURONAL LINEAGE PRIMING DEFINE A HYPOXIA-DRIVEN EVOLUTIONARY PROGRAM IN GLIOBLASTOMA
P02.19.B BRAF/MAPK ACTIVATION AND NEURONAL LINEAGE PRIMING DEFINE A HYPOXIA-DRIVEN EVOLUTIONARY PROGRAM IN GLIOBLASTOMA Open
BACKGROUND Hypoxia is a hallmark of the glioblastoma (GB) and a critical driver of tumor progression, cellular plasticity, and resistance to standard therapy. While its role in metabolic reprogramming is established, the mechanisms by whic…
View article: KS02.5.A RAPID AND OPTIMIZED INTRAOPERATIVE CLASSIFICATION OF CNS TUMORS BY NANOPORE SEQUENCING AND EPIGENETIC PROFILING
KS02.5.A RAPID AND OPTIMIZED INTRAOPERATIVE CLASSIFICATION OF CNS TUMORS BY NANOPORE SEQUENCING AND EPIGENETIC PROFILING Open
BACKGROUND Intraoperative profiling of CNS tumors remains challenging due to limitations in current diagnostic strategies. While intraoperative sequencing combined with epigenetic classification demonstrates high accuracy, existing workflo…
View article: P03.27.B FLUID-SUPPRESSED APTW IMAGING BEFORE AND AFTER SURGERY IN GLIOBLASTOMA: A PROOF-OF-CONCEPT FOR DETECTING INFILTRATIVE AND RESIDUAL TUMOR BEYOND CONTRAST ENHANCEMENT
P03.27.B FLUID-SUPPRESSED APTW IMAGING BEFORE AND AFTER SURGERY IN GLIOBLASTOMA: A PROOF-OF-CONCEPT FOR DETECTING INFILTRATIVE AND RESIDUAL TUMOR BEYOND CONTRAST ENHANCEMENT Open
BACKGROUND In glioblastoma (GBM), the presence of residual tumor on postoperative imaging is strongly associated with patient survival. Thus, the standard of care involves maximal safe resection of contrast-enhancing tumor tissue. However,…
View article: P03.24.A HIGH PERITUMORAL NETWORK CONNECTEDNESS IN GLIOBLASTOMA REVEALS A DISTINCT EPIGENETIC SIGNATURE AND IS ASSOCIATED WITH DECREASED OVERALL SURVIVAL.
P03.24.A HIGH PERITUMORAL NETWORK CONNECTEDNESS IN GLIOBLASTOMA REVEALS A DISTINCT EPIGENETIC SIGNATURE AND IS ASSOCIATED WITH DECREASED OVERALL SURVIVAL. Open
BACKGROUND Glioblastomas are functionally integrated into their peritumoral neural environment, and the dynamic functional interaction can be analyzed using network theory, providing insights into the tumor-brain interface. We investigated…
View article: Single-nucleus RNA sequencing: immature excitatory neurons and transformed glia build human BRAFV600E-negative gangliogliomas
Single-nucleus RNA sequencing: immature excitatory neurons and transformed glia build human BRAFV600E-negative gangliogliomas Open
Gangliogliomas are glioneuronal neoplasms, generally with a benign evolution, accounting for the most common tumors in patients with long-term pharmacoresistant epilepsy. BRAFV600E has been detected in a high percentage of World Health Org…
View article: NeuroLens: organ localization using natural language commands for anatomical recognition in surgical training
NeuroLens: organ localization using natural language commands for anatomical recognition in surgical training Open
Purpose This study introduces NeuroLens, a multimodal system designed to enhance anatomical recognition by integrating video with textual and voice inputs. It aims to provide an interactive learning platform for surgical trainees. Methods …
View article: High peritumoral network connectedness in glioblastoma reveals a distinct epigenetic signature and is associated with decreased overall survival
High peritumoral network connectedness in glioblastoma reveals a distinct epigenetic signature and is associated with decreased overall survival Open
Background Glioblastomas are functionally integrated into their peritumoral neural environment, and the dynamic functional interaction can be analyzed using network theory, providing insights into the tumor-brain interface. We investigated…
View article: Comprehensive analysis of human dendritic spine morphology and density
Comprehensive analysis of human dendritic spine morphology and density Open
This study presents a dataset of nearly 4,000 morphologically reconstructed human dendritic spines across different ages, gender, and tissue conditions. The dataset was further used to evaluate a deep learning algorithm for three-dimension…
View article: Frameless Stereotaxy in Stereoelectroencephalography Using Intraoperative Computed Tomography
Frameless Stereotaxy in Stereoelectroencephalography Using Intraoperative Computed Tomography Open
Background: Pharmacoresistant epilepsy affects approximately one-third of all epilepsy patients, and resective surgery may offer favorable outcomes for carefully selected patients with focal epilepsy. The accurate identification of the epi…
View article: Transport-Related Effects on Intrinsic and Synaptic Properties of Human Cortical Neurons: A Comparative Study
Transport-Related Effects on Intrinsic and Synaptic Properties of Human Cortical Neurons: A Comparative Study Open
Transporting human brain tissue from the operating theater to an off-site laboratory may affect sample integrity for electrophysiological studies. This study investigated how a 30-40 minute transport influenced the intrinsic, synaptic, and…
View article: P10.05.B ADVANCED MACHINE LEARNING TO DETECT HETEROGENEITY OF CELL CYCLE ALTERATIONS DURING TMZ CHEMOTHERAPY AT SINGLE CELL LEVEL
P10.05.B ADVANCED MACHINE LEARNING TO DETECT HETEROGENEITY OF CELL CYCLE ALTERATIONS DURING TMZ CHEMOTHERAPY AT SINGLE CELL LEVEL Open
BACKGROUND Glioblastoma (GBM) stands as the most aggressive tumor of the CNS. Current treatment typically involves surgical intervention followed by cycles of Temozolomide (TMZ) chemotherapy in combination with radiotherapy. However, the e…
View article: OS07.2.A INTEGRATED SPATIALLY RESOLVED TRANSCRIPTOMICS AND ELECTROPHYSIOLOGY UNRAVELED THE ARCHITECTURAL HETEROGENEITY OF NEURONAL-GLIOMA INTERFACES
OS07.2.A INTEGRATED SPATIALLY RESOLVED TRANSCRIPTOMICS AND ELECTROPHYSIOLOGY UNRAVELED THE ARCHITECTURAL HETEROGENEITY OF NEURONAL-GLIOMA INTERFACES Open
BACKGROUND In recent years, spatially resolved, high-dimensional methodologies have elucidated substantial transcriptional heterogeneity within malignant brain tumors. However, the absence of functional readouts has impeded the linkage of …
View article: MEG in MRI-Negative Patients with Focal Epilepsy
MEG in MRI-Negative Patients with Focal Epilepsy Open
Objectives: To review the evidence on the clinical value of magnetic source imaging (MSI) in patients with refractory focal epilepsy without evidence for an epileptogenic lesion on magnetic resonance imaging (“MRI-negative” or “non-lesiona…
View article: Topographical anatomy of the septum verum and its white matter connections
Topographical anatomy of the septum verum and its white matter connections Open
The human septum verum represents a small but clinically important region of the brain. Based on the results of animal experiments, the stimulation of its medial part was recently proposed with various indications like epilepsy or cognitiv…
View article: Modulation of large rhythmic depolarizations in human large basket cells by norepinephrine and acetylcholine
Modulation of large rhythmic depolarizations in human large basket cells by norepinephrine and acetylcholine Open
Rhythmic brain activity is critical to many brain functions and is sensitive to neuromodulation, but so far very few studies have investigated this activity on the cellular level in vitro in human brain tissue samples. This study reveals a…
View article: Modulation of Large Rhythmic Depolarizations in Human Large Basket Cells by Norepinephrine and Acetylcholine
Modulation of Large Rhythmic Depolarizations in Human Large Basket Cells by Norepinephrine and Acetylcholine Open
Rhythmic brain activity is critical to many brain functions and is sensitive to neuromodulation, but so far very few studies have investigated this activity on the cellular level in vitro in human brain tissue samples. This study reveals a…
View article: Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma Open
Background: This research aims to improve glioblastoma survival prediction by integrating MR images, clinical and molecular-pathologic data in a transformer-based deep learning model, addressing data heterogeneity and performance generaliz…