A5030918075- Glioma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Brain Tumor Detection and Classification
- Cancer Genomics and Diagnostics
- Advanced MRI Techniques and Applications
- Medical Image Segmentation Techniques
- Emergency and Acute Care Studies
- Machine Learning in Healthcare
- Meningioma and schwannoma management
- Disaster Response and Management
- MicroRNA in disease regulation
- Mathematical Biology Tumor Growth
- Complex Systems and Decision Making
- Neurogenesis and neuroplasticity mechanisms
- Bayesian Methods and Mixture Models
- Cognitive Science and Mapping
- Cancer-related cognitive impairment studies
- Remote-Sensing Image Classification
- Medical Imaging and Analysis
- Neural Networks and Applications
- Team Dynamics and Performance
- Spectroscopy and Chemometric Analyses
- Barrier Structure and Function Studies
- Neurofibromatosis and Schwannoma Cases
Universitat Politècnica de València
2013-2023
Centro Tecnológico de Investigación, Desarrollo e Innovación en tecnologías de la Información y las Comunicaciones (TIC)
2019-2023
Automatic brain tumour segmentation has become a key component for the future of treatment. Currently, most approaches arise from supervised learning standpoint, which requires labelled training dataset to infer models classes. The performance these is directly determined by size and quality corpus, whose retrieval becomes tedious time-consuming task. On other hand, unsupervised avoid limitations but often do not reach comparable results than methods. In this sense, we propose an automated...
Purpose To determine if preoperative vascular heterogeneity of glioblastoma is predictive overall survival patients undergoing standard-of-care treatment by using an unsupervised multiparametric perfusion-based habitat-discovery algorithm. Materials and Methods Preoperative magnetic resonance (MR) imaging including dynamic susceptibility-weighted contrast material-enhanced perfusion studies in 50 consecutive with were retrieved. Perfusion parameters analyzed used to automatically draw four...
Background Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by a heterogeneous and abnormal vascularity. Subtypes of vascular habitats within tumor edema can be distinguished: high angiogenic (HAT), low (LAT), infiltrated peripheral (IPE), vasogenic (VPE). Purpose To validate association between hemodynamic markers from overall survival (OS) in glioblastoma patients, considering intercenter variability acquisition protocols. Study Type Multicenter retrospective...
Abstract Objectives To assess the combined role of tumor vascularity, estimated from perfusion MRI, and MGMT methylation status on overall survival (OS) in patients with glioblastoma. Methods A multicentric international dataset including 96 NCT03439332 clinical study were used to prognostic relationships between markers. Relative cerebral blood volume (rCBV) most vascularized regions was automatically obtained preoperative MRIs using ONCOhabitats online analysis service. Cox regression...
Advanced MRI and molecular markers have been raised as crucial to improve prognostic models for patients having glioblastoma (GBM) lesions. In particular, different MR perfusion based describing vascular intrapatient heterogeneity correlated with tumor aggressiveness, represent key information understand resistance against effective therapies of these neoplasms. Recently, hemodynamic tissue signature (HTS) on images demonstrated be useful the GBM at voxel level, well demonstrating...
Abstract Background The microvessels area (MVA), derived from microvascular proliferation, is a biomarker useful for high-grade glioma classification. Nevertheless, its measurement costly, labor-intense, and invasive. Finding radiologic correlations with MVA could provide complementary non-invasive approach without an extra cost labor intensity the first stage. This study aims to correlate imaging markers, such as relative cerebral blood volume (rCBV), local in IDH-wildtype glioblastoma,...
Introduction IDH1/2 wt glioblastoma (GB) represents the most lethal tumour of central nervous system. Tumour vascularity is associated with overall survival (OS), and clinical relevance vascular markers, such as rCBV, has already been validated. Nevertheless, molecular factors may have different influences on beneficial effect a favourable signature. Purpose To evaluate association between rCBV OS GB patients for long‐term survivors (LTSs) short‐term (STSs). Given that initial high affect...
High-grade glioma (HGG) patients present with variable impairment in neurocognitive function (NCF). Based on that, isocitrate dehydrogenase 1 (IDH1) wild-type HGGs are more aggressive than IDH1 mutant-type ones, we hypothesized that HGG would exhibit severe NCF deficits their mutant counterparts.NCF was assessed by Mini Mental Status Exam (MMSE), Trail Making Test (TMT), Digit Span (DS), and Controlled Word Association (COWAT) tests 147 preoperatively.Analyses between groups revealed a...
ABSTRACT BACKGROUND AND PURPOSE Genetic classifications are crucial for understanding the heterogeneity of glioblastoma. Recently, MR perfusion imaging techniques have demonstrated their ability to determine molecular alterations. In this work, we investigated whether markers within infiltrated peripheral edema were associated with proneural, mesenchymal, classical and neural subtypes. MATERIALS METHODS ONCOhabitats open web service was used obtain cerebral blood volume at MRI studies 50...
Background and purpose Genetic classifications are crucial for understanding the heterogeneity of glioblastoma. Recently, perfusion MRI techniques have demonstrated associations molecular alterations. In this work, we investigated whether markers within infiltrated peripheral edema were associated with proneural, mesenchymal, classical neural subtypes. Materials methods ONCOhabitats open web services used to obtain cerebral blood volume at studies 50 glioblastoma patients from The Cancer...
We report preliminarily results of an international retrospective study (NCT03439332) analyzing the prognostic value early assessment vascular architecture glioblastoma (GBM).The initial cohort included 300 pts treated at 7 European hospitals. Multiparametric images were processed by Oncohabitats (www.oncohabitats.upv.es) to obtain cerebral blood volume (CBV) and flow (CBF) from 4 automatically delimited regions interest (ROIs): high angiogenic tumor (HAT), low (LAT), infiltrating...
Over the past decades, advances in Artificial Intelligence (AI) techniques have investigated modelling of complex systems. In particular, use Multi-Agent Systems (MAS) opened new possibilities for studying different domains using social simulation. present work we implemented and empirically evaluated a Based Social Simulation (MABSS) system to support formation creative teams. on existent psychological organizational creativity studies, modelled set personal characteristics contextual...
ABSTRACT Objective To develop a predictive model to aid non-clinical dispatchers classify emergency medical call incidents by their life-threatening level (yes/no), admissible response delay (undelayable, minutes, hours, days) and system jurisdiction (emergency system/primary care) in real time. Materials A total of 1 244 624 independent retrospective from the Valencian dispatch service Spain 2009 2012, comprising clinical features, demographics, circumstantial factors free text dispatcher...
ABSTRACT Background The microvascular proliferation (MVP) and the microvessel area (MVA) are known as diagnostic prognostic biomarkers for glioblastoma; nevertheless, its measurement is costly, labor-intense, invasive. MRI perfusion such relative cerebral blood volume (rCBV) may be a feasible alternative to predict MVP estimate MVA. Purpose This study aims evaluate detection capacity of markers rCBV detect local in IDH wild-type glioblastoma. In addition, we aim analyze association between...
Abstract A significant association between MGMT methylation and prolonged overall survival (OS) was observed for patients with glioblastoma (GB) that present moderately relative cerebral blood volume (rCBV) 1. However, study should be updated to the current glioma WHO classification. In we assess combined effect of rCBV on OS in IDH wild-type GB. An independent cohort 95 GB OS>30 days tumor resection included this study. The values highest angiogenic regions were automatically...