Luis Jiménez‐Roldán
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View article: Protocol of the observational study STRATUM-OS: First step in the development and validation of the STRATUM tool based on multimodal data processing to assist surgery in patients affected by intra-axial brain tumours
Protocol of the observational study STRATUM-OS: First step in the development and validation of the STRATUM tool based on multimodal data processing to assist surgery in patients affected by intra-axial brain tumours Open
Introduction: Integrated digital diagnostics can support complex surgeries in many anatomic sites, and brain tumour surgery represents one of the most complex cases. Neurosurgeons face several challenges during brain tumour surgeries, such…
View article: OP0260 DoCTIS: A SINGLE CELL RNA-Seq ATLAS OF DRUG RESPONSE TO TARGETED THERAPIES
OP0260 DoCTIS: A SINGLE CELL RNA-Seq ATLAS OF DRUG RESPONSE TO TARGETED THERAPIES Open
View article: SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection
SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection Open
Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumours. Although existing HSI databases of in vivo human brains are available, they present two main d…
View article: STRATUM project: AI-based point of care computing for neurosurgical 3D decision support tools
STRATUM project: AI-based point of care computing for neurosurgical 3D decision support tools Open
Integrated digital diagnostics are transforming complex surgical procedures, with brain tumour surgery being among the most challenging. STRATUM, a five-year Horizon Europe-funded project, aims to develop an advanced 3D decision support sy…
View article: Patient-Derived Surgical samples reveal patterns of glioblastoma infiltration and tumor microenvironment at the tumor margin
Patient-Derived Surgical samples reveal patterns of glioblastoma infiltration and tumor microenvironment at the tumor margin Open
Background Glioblastoma (GBM) is a highly aggressive cancer with near-universal recurrence, often due to residual tumor cells that persist after aggressive standard of care treatment. This study aimed to characterize tumor infiltration and…
View article: S100A proteins show a spatial distribution of inflammation associated with the glioblastoma microenvironment architecture
S100A proteins show a spatial distribution of inflammation associated with the glioblastoma microenvironment architecture Open
Background: Glioblastoma IDH wild type (GBM IDH wt) has a poor prognosis and a strongly associated with inflammatory processes. Inflammatory molecules generate positive feedback with tumor cells fueling tumor growth as well as recru…
View article: LIBRA: Low spectral resolution brain tumor classifier for medical hyperspectral imaging
LIBRA: Low spectral resolution brain tumor classifier for medical hyperspectral imaging Open
Gliomas constitute a significant challenge in neurosurgery due to their high incidence and poor prognosis. Despite advancements in tumor detection techniques using machine learning approach with hyperspectral imaging, accurately distinguis…
View article: SLIM Brain Database: A Multimodal Image Database of In-vivo Human Brains for Tumour Detection
SLIM Brain Database: A Multimodal Image Database of In-vivo Human Brains for Tumour Detection Open
Hyperspectral imaging (HSI) and machine learning (ML) have been employed in the medical field for classifying highly infiltrative brain tumors. Although existing HSI databases of in-vivo human brains are available, they present two main de…
View article: Machine learning identifies experimental brain metastasis subtypes based on their influence on neural circuits
Machine learning identifies experimental brain metastasis subtypes based on their influence on neural circuits Open
View article: Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI Open
The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a predictive model t…
View article: Table of Contents
Table of Contents Open
View article: Patients awaiting surgery for neurosurgical diseases during the first wave of the COVID-19 pandemic in Spain: a multicentre cohort study
Patients awaiting surgery for neurosurgical diseases during the first wave of the COVID-19 pandemic in Spain: a multicentre cohort study Open
Objectives The large number of infected patients requiring mechanical ventilation has led to the postponement of scheduled neurosurgical procedures during the first wave of the COVID-19 pandemic. The aims of this study were to investigate …
View article: Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism
Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism Open
View article: A clinically compatible drug‐screening platform based on organotypic cultures identifies vulnerabilities to prevent and treat brain metastasis
A clinically compatible drug‐screening platform based on organotypic cultures identifies vulnerabilities to prevent and treat brain metastasis Open
View article: Impact of the first wave of the SARS-CoV-2 pandemic on the outcome of neurosurgical patients: a nationwide study in Spain
Impact of the first wave of the SARS-CoV-2 pandemic on the outcome of neurosurgical patients: a nationwide study in Spain Open
Objective To assess the effect of the first wave of the SARS-CoV-2 pandemic on the outcome of neurosurgical patients in Spain. Settings The initial flood of COVID-19 patients overwhelmed an unprepared healthcare system. Different measures …
View article: Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI
Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI Open
Radiomics, in combination with artificial intelligence, has emerged as a powerful tool for the development of predictive models in neuro-oncology. Our study aims to find an answer to a clinically relevant question: is there a radiomic prof…
View article: Predicting short-term survival after total resection in glioblastomas by machine learning-based radiomic analysis of preoperative MRI
Predicting short-term survival after total resection in glioblastomas by machine learning-based radiomic analysis of preoperative MRI Open
Background Radiomics, in combination with artificial intelligence, has emerged as a powerful tool for the development of predictive models in neuro-oncology. Our study aims to find an answer to a clinically relevant question: is there a ra…
View article: Predicting short-term survival after total resection in glioblastomas by machine learning-based radiomic analysis of preoperative MRI
Predicting short-term survival after total resection in glioblastomas by machine learning-based radiomic analysis of preoperative MRI Open
Background Radiomics, in combination with artificial intelligence, has emerged as a powerful tool for the development of predictive models in neuro-oncology. Our study aims to find an answer to a clinically relevant question: is there a ra…
View article: Predicting short-term survival after total resection in glioblastomas by machine learning-based radiomic analysis of preoperative MRI
Predicting short-term survival after total resection in glioblastomas by machine learning-based radiomic analysis of preoperative MRI Open
Background Radiomics, in combination with artificial intelligence, emerges as a powerful tool for the development of predictive models in neuro-oncology. Our study aims to find an answer to a clinically relevant question: is there a radiom…
View article: Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification
Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification Open
Hyperspectral imaging techniques (HSI) do not require contact with patients and are non-ionizing as well as non-invasive. As a consequence, they have been extensively applied in the medical field. HSI is being combined with machine learnin…
View article: Reliability and accuracy assessment of morphometric measurements obtained with software for three-dimensional reconstruction of brain aneurysms relative to cerebral angiography measures
Reliability and accuracy assessment of morphometric measurements obtained with software for three-dimensional reconstruction of brain aneurysms relative to cerebral angiography measures Open
Objective To analyze the reliability and accuracy of morphological measurements of software employed to three-dimensionally reconstruct aneurysms and vessels (VMTKlab, version 1.6.1,) with computed tomography angiography (CTA) as the sourc…
View article: Valor pronóstico del volumen de sangrado intracerebral tras rotura de aneurisma cerebral
Valor pronóstico del volumen de sangrado intracerebral tras rotura de aneurisma cerebral Open
Los aneurismas intracraneales son malformaciones vasculares de las arterias cerebrales cuya ruptura supone el vertido de sangre a distintos compartimentos cerebrales, principalmente el espacio subaracnoideo y el intraventricular, dando lug…