Clinical decision support systems for brain tumour diagnosis and prognosis: A systematic review

T Mukherjee, O Pournik, SN Lim Choi Keung… - Cancers, 2023 - mdpi.com
Simple Summary Brain tumours are abnormal growth of cells in the human brain.
Continuous effort is being made towards improving diagnosis and treatment options for such …

Classification of brain tumours from MR spectra: the INTERPRET collaboration and its outcomes

M Julià‐Sapé, JR Griffiths, RA Tate… - NMR in …, 2015 - Wiley Online Library
The INTERPRET project was a multicentre European collaboration, carried out from 2000 to
2002, which developed a decision‐support system (DSS) for helping neuroradiologists with …

[HTML][HTML] Accurate classification of childhood brain tumours by in vivo 1H MRS–A multi-centre study

J Vicente, E Fuster-Garcia, S Tortajada… - European Journal of …, 2013 - Elsevier
AIMS: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H
MRS) as a non-invasive diagnostic aid for paediatric brain tumours in a multi-national study …

An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems

C Sáez, A Bresó, J Vicente, M Robles… - Computer methods and …, 2013 - Elsevier
The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability
of being integrated in Health Information Systems (HIS). Several proposals have been …

[HTML][HTML] Clinical decision support systems for brain tumor characterization using advanced magnetic resonance imaging techniques

E Tsolaki, E Kousi, P Svolos, E Kapsalaki… - World journal of …, 2014 - ncbi.nlm.nih.gov
In recent years, advanced magnetic resonance imaging (MRI) techniques, such as magnetic
resonance spectroscopy, diffusion weighted imaging, diffusion tensor imaging and perfusion …

From raw data to data-analysis for magnetic resonance spectroscopy–the missing link: jMRUI2XML

V Mocioiu, S Ortega-Martorell, I Olier, M Jablonski… - BMC …, 2015 - Springer
Background Magnetic resonance spectroscopy provides metabolic information about living
tissues in a non-invasive way. However, there are only few multi-centre clinical studies …

Multicentre evaluation of the INTERPRET decision support system 2.0 for brain tumour classification

M Julià‐Sapé, C Majós, À Camins… - NMR in …, 2014 - Wiley Online Library
In a previous study, we have shown the added value of 1H MRS for the neuroradiological
characterisation of adult human brain tumours. In that study, several methods of MRS …

Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as an additional …

C Sáez, L Martí-Bonmatí, Á Alberich-Bayarri… - Computers in biology …, 2014 - Elsevier
The results of a randomized pilot study and qualitative evaluation of the clinical decision
support system Curiam BT are reported. We evaluated the system's feasibility and potential …

[PDF][PDF] Clinical Decision Support Systems for Brain Tumour Diagnosis and Prognosis

T Mukherjee, O Pournik, SN Lim Choi Keung… - 2023 - pure-oai.bham.ac.uk
CDSSs are being continuously developed and integrated into routine clinical practice as
they assist clinicians and radiologists in dealing with an enormous amount of medical data …

[PDF][PDF] Clinical Decision Support Systems for Brain Tumour Diagnosis: Classification and Evaluation Approaches

JV Robledo - 2012 - pdfs.semanticscholar.org
During the last decades, the availability of great amounts of biomedical information has
fostered the development of tools to allow the extraction and inference of knowledge. The …