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Articles, 7 registres trobats
Documents de recerca, 1 registres trobats
Articles 7 registres trobats  
1.
12 p, 2.7 MB Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous / Ungan, Gulnur Semahat (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Pons-Escoda, Albert (Institut d'Investigació Biomèdica de Bellvitge) ; Ulinic, Daniel (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Ortega-Martorell, Sandra (Liverpool John Moores University. Data Science Research Centre) ; Olier, Iván (Liverpool John Moores University. Data Science Research Centre) ; Vellido, Alfredo (UPC BarcelonaTech) ; Majós, Carles (Institut d'Investigació Biomèdica de Bellvitge) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
The standard treatment in glioblastoma includes maximal safe resection followed by concomitant radiotherapy plus chemotherapy and adjuvant temozolomide. The first follow-up study to evaluate treatment response is performed 1 month after concomitant treatment, when contrast-enhancing regions may appear that can correspond to true progression or pseudoprogression. [...]
2024 - 10.1002/nbm.5095
NMR in Biomedicine, (January 2024) , Art. e5095
2 documents
2.
20 p, 1.7 MB Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks / Ortega-Martorell, Sandra (Liverpool John Moores University) ; Olier, Iván (Liverpool John Moores University) ; Hernandez, Orlando (Escuela Colombiana de Ingeniería Julio Garavito) ; Restrepo-Galvis, Paula D. (Escuela Colombiana de Ingeniería Julio Garavito) ; Bellfield, Ryan A. A. (Liverpool John Moores University) ; Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Glioblastoma (GB) is a malignant brain tumour with no cure, even after the best treatment. The evaluation of a therapy response is usually based on magnetic resonance imaging (MRI), but it lacks precision in early stages, and doctors must wait several weeks until they are confident information is produced, facing an uncertain time window. [...]
2023 - 10.3390/cancers15154002
Cancers, Vol. 15, Num. 15 (August 2023) , art. 4002  
3.
21 p, 4.1 MB Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models / Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Applied Mathematics) ; Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Thomson, Ryan (Liverpool John Moores University. Department of Applied Mathematics) ; Riley, Patrick (Liverpool John Moores University. Department of Applied Mathematics) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Iván (Liverpool John Moores University. Department of Applied Mathematics) ; Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí"
Glioblastoma is the most frequent malignant intra-cranial tumour. Magnetic resonance imaging is the modality of choice in diagnosis, aggressiveness assessment, and follow-up. However, there are examples where it lacks diagnostic accuracy. [...]
2019 - 10.1371/journal.pone.0220809
PloS one, Vol. 14, Núm. 8 (2019) , art. e0220809  
4.
11 p, 2.4 MB From raw data to data-analysis for magnetic resonance spectroscopy - the missing link : jMRUI2XML / Mocioiu, Victor (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Mathematics and Statistics) ; Olier, Iván (University of Manchester. Institute of Population Health) ; Jablonski, Michal (Institute of Scientific Instruments of the CAS (Brno, República Txeca)) ; Starcukova, Jana (Institute of Scientific Instruments of the CAS (Brno, República Txeca)) ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Background: 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 or data format, as there is no flexible way of documenting and exchanging processed magnetic resonance spectroscopy data in digital format. [...]
2015 - 10.1186/s12859-015-0796-5
BMC bioinformatics, Vol. 16, N. 378 (November 2015) , p. 1-11  
5.
14 p, 1.1 MB A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data / Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Mathematics and Statistics) ; Ruiz, Héctor (Liverpool John Moores University. Department of Mathematics and Statistics) ; Vellido, Alfredo (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Olier, Iván (University of Manchester. Institute of Population Health) ; Romero, Enrique (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Julià Sapé, Ma. Margarita (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina) ; Martín, José D. (Universitat de València. Departament d'Enginyeria Electrònica) ; Jarman, Ian H. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí"
Background: the clinical investigation of human brain tumors often starts with a non-invasive imaging study, providing information about the tumor extent and location, but little insight into the biochemistry of the analyzed tissue. [...]
2013 - 10.1371/journal.pone.0083773
PloS one, Vol. 8 Issue 12 (December 2013) , p. e83773  
6.
12 p, 816.6 KB The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses / Pérez Ruiz, Alexander (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Mercadal, Guillem (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Iván (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Majós, Carles (Institut de Diagnòstic per la Imatge) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: 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 of metabolites in the tissues. [...]
2010 - 10.1186/1471-2105-11-581
BMC bioinformatics, Vol. 11 N. 581 (November 2010) , p. 1-12  
7.
14 p, 1.6 MB SpectraClassifier 1.0 : a user friendly, automated MRS-based classifier-development system / Ortega-Martorell, Sandra (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Iván (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: 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 multivariate statistics to perform a fully automated pattern recognition analysis. [...]
2010 - 10.1186/1471-2105-11-106
BMC bioinformatics, Vol. 11, N. 106 (February 2010) , p. 1-14  

Documents de recerca 1 registres trobats  
1.
1 p, 172.6 KB MRI-MRSI-GL261 mice / Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Applied Mathematics) ; Candiota Silveira, Ana Paula (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina) ; Thomson, Ryan (Liverpool John Moores University. Department of Applied Mathematics) ; Julià Sapé, Ma. Margarita (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina) ; Olier, Iván (Liverpool John Moores University. Department of Applied Mathematics) ; Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular
MRI/MRSI data from GL261 tumor-bearing mice, from Bruker vendor.
Universitat Autònoma de Barcelona 2017 - 10.5565/ddd.uab.cat/201551
2 documents

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