18 Result(s)
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Margarida Julià-Sapé
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Article
Open AccessUnraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction
Glioblastoma is the most frequent aggressive primary brain tumor amongst human adults. Its standard treatment involves chemotherapy, for which the drug temozolomide is a common choice. These are heterogeneous ...
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Article
Open AccessBrain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke
Magnetic resonance spectroscopy (MRS) provides non-invasive information about the metabolic pattern of the brain parenchyma in vivo. The SpectraClassifier software performs MRS pattern-recognition by determin...
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Chapter and Conference Paper
Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization
Proton Magnetic Resonance Spectroscopy (1H MRS) has proven its diagnostic potential in a variety of conditions. However, MRS is not yet widely used in clinical routine because of the lack of experts on its diagno...
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Article
Open AccessFrom raw data to data-analysis for magnetic resonance spectroscopy – the missing link: jMRUI2XML
Magnetic resonance spectroscopy provides metabolic information about living tissues in a non-invasive way. However, there are only few multi-centre clinical studies, mostly performed on a single scanner model ...
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Protocol
In Vivo Magnetic Resonance Spectroscopic Imaging and Ex Vivo Quantitative Neuropathology by High Resolution Magic Angle Spinning Proton Magnetic Resonance Spectroscopy
The applications of two magnetic resonance techniques to the study of brain tumours are discussed. Multivoxel MR spectroscopic imaging (MRSI) can be performed in vivo in animal models and HRMAS is performed ex...
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Article
Open AccessNon-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
In-vivo single voxel proton magnetic resonance spectroscopy (SV 1H-MRS), coupled with supervised pattern recognition (PR) methods, has been widely used in clinical studies of discrimination of brain tumour types ...
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Article
Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra
This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing ...
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Chapter
Diagnosis and Staging of Brain Tumours: Magnetic Resonance Single Voxel Spectra
The spectroscopic variant of magnetic resonance, magnetic resonance spectroscopy (MRS) allows the non-invasive detection and identification of a wide repertoire of molecules in solution which are present in ce...
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Article
Open AccessThe INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses
Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra...
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Article
Open AccessSpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system
SpectraClassifier (SC) is a Java solution for designing and implementing Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow users with minimum background knowledge of multiva...
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Article
HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis
We present an agent-based distributed decision support system for the diagnosis and prognosis of brain tumors developed by the HealthAgents project. HealthAgents is a European Union funded research project, whic...
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Article
Open AccessMultiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy
Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are ...
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Chapter and Conference Paper
Ranking of Brain Tumour Classifiers Using a Bayesian Approach
This study presents a ranking for classifers using a Bayesian perspective. This ranking framework is able to evaluate the performance of the models to be compared when they are inferred from different sets of ...
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Chapter and Conference Paper
Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR
This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic resonance spectroscopic signals. The expert diagnosis of human brain tumours can benef...
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Chapter and Conference Paper
Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset
As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypi...
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Chapter
On the Implementation of HealthAgents: Agent-Based Brain Tumour Diagnosis
This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a secure and distributed network of local databases or...
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Chapter and Conference Paper
Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning
The incorporation of new biomedical technologies in the diagnosis and prognosis of cancer is changing medicine to an evidence-based diagnosis. We summarize some studies related to brain tumour research in Euro...
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Article
A Multi-Centre, Web-Accessible and Quality Control-Checked Database of in vivo MR Spectra of Brain Tumour Patients
Objective: To describe an Internet-accessible database that contains validated in vivo MR spectra and clinical data of brain tumour patients. Materials and methods: All data from patients...
