Article (Scientific journals)
Radiomics Analysis for Clinical Decision Support in Nuclear Medicine
Ibrahim, A.; Vallières, M.; Woodruff, H. et al.
2019In Seminars in Nuclear Medicine
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Abstract :
[en] Radiomics – the high-throughput computation of quantitative image features extracted from medical imaging modalities- can be used to aid clinical decision support systems in order to build diagnostic, prognostic, and predictive models, which could ultimately improve personalized management based on individual characteristics. Various tools for radiomic features extraction are available, and the field gained a substantial scientific momentum for standardization and validation. Radiomics analysis of molecular imaging is expected to provide more comprehensive description of tissues than that of currently used parameters. We here review the workflow of radiomics, the challenges the field currently faces, and its potential for inclusion in clinical decision support systems to maximize disease characterization, and to improve clinical decision-making. We also present guidelines for standardization and implementation of radiomics in order to facilitate its transition to clinical use. © 2019
Disciplines :
Computer science
Radiology, nuclear medicine & imaging
Author, co-author :
Ibrahim, A.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Vallières, M.;  Medical Physics Unit, McGill University, Montreal, Quebec, Canada, Department of Radiation Oncology, University of California – San Francisco, San Francisco, United States
Woodruff, H.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Primakov, S.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Beheshti, M.;  Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, Aachen, Germany, DDepartment of Nuclear Medicine, Paracelsus Medical University, Salzburg, Austria
Keek, S.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Refaee, T.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Sanduleanu, S.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Walsh, S.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
Morin, O.;  Department of Radiation Oncology, University of California – San Francisco, San Francisco, United States
Lambin, P.;  The D-Lab, Department of Precision Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands, Department of Radiology and Nuclear Medicine, GROW – School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, Netherlands
HUSTINX, Roland  ;  Centre Hospitalier Universitaire de Liège - CHU > Département de Physique Médicale > Service médical de médecine nucléaire et imagerie onco
Mottaghy, F. M.;  Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, Aachen, Germany, Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands
More authors (3 more) Less
Language :
English
Title :
Radiomics Analysis for Clinical Decision Support in Nuclear Medicine
Publication date :
2019
Journal title :
Seminars in Nuclear Medicine
ISSN :
0001-2998
eISSN :
1558-4623
Publisher :
W.B. Saunders
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
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