Cargando…
Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study
PURPOSE: To investigate the feasibility of automatic quantification of bone marrow edema (BME) on MRI of the wrist in patients with early arthritis. METHODS: For 485 early arthritis patients (clinically confirmed arthritis of one or more joints, symptoms for less than 2 years), MR scans of the wrist...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811824/ https://www.ncbi.nlm.nih.gov/pubmed/28480581 http://dx.doi.org/10.1002/mrm.26712 |
_version_ | 1783299927257907200 |
---|---|
author | Aizenberg, Evgeni Roex, Edgar A.H. Nieuwenhuis, Wouter P. Mangnus, Lukas van der Helm‐van Mil, Annette H.M. Reijnierse, Monique Bloem, Johan L. Lelieveldt, Boudewijn P.F. Stoel, Berend C. |
author_facet | Aizenberg, Evgeni Roex, Edgar A.H. Nieuwenhuis, Wouter P. Mangnus, Lukas van der Helm‐van Mil, Annette H.M. Reijnierse, Monique Bloem, Johan L. Lelieveldt, Boudewijn P.F. Stoel, Berend C. |
author_sort | Aizenberg, Evgeni |
collection | PubMed |
description | PURPOSE: To investigate the feasibility of automatic quantification of bone marrow edema (BME) on MRI of the wrist in patients with early arthritis. METHODS: For 485 early arthritis patients (clinically confirmed arthritis of one or more joints, symptoms for less than 2 years), MR scans of the wrist were processed in three automatic stages. First, super‐resolution reconstruction was applied to fuse coronal and axial scans into a single high‐resolution 3D image. Next, the carpal bones were located and delineated using atlas‐based segmentation. Finally, the extent of BME within each bone was quantified by identifying image intensity values characteristic of BME by fuzzy clustering and measuring the fraction of voxels with these characteristic intensities within each bone. Correlation with visual BME scores was assessed through Pearson correlation coefficient. RESULTS: Pearson correlation between quantitative and visual BME scores across 485 patients was r=0.83, P<0.001. CONCLUSIONS: Quantitative measurement of BME on MRI of the wrist has the potential to provide a feasible alternative to visual scoring. Complete automation requires automatic detection and compensation of acquisition artifacts. Magn Reson Med 79:1127–1134, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
format | Online Article Text |
id | pubmed-5811824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58118242018-02-16 Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study Aizenberg, Evgeni Roex, Edgar A.H. Nieuwenhuis, Wouter P. Mangnus, Lukas van der Helm‐van Mil, Annette H.M. Reijnierse, Monique Bloem, Johan L. Lelieveldt, Boudewijn P.F. Stoel, Berend C. Magn Reson Med Full Papers—Computer Processing and Modeling PURPOSE: To investigate the feasibility of automatic quantification of bone marrow edema (BME) on MRI of the wrist in patients with early arthritis. METHODS: For 485 early arthritis patients (clinically confirmed arthritis of one or more joints, symptoms for less than 2 years), MR scans of the wrist were processed in three automatic stages. First, super‐resolution reconstruction was applied to fuse coronal and axial scans into a single high‐resolution 3D image. Next, the carpal bones were located and delineated using atlas‐based segmentation. Finally, the extent of BME within each bone was quantified by identifying image intensity values characteristic of BME by fuzzy clustering and measuring the fraction of voxels with these characteristic intensities within each bone. Correlation with visual BME scores was assessed through Pearson correlation coefficient. RESULTS: Pearson correlation between quantitative and visual BME scores across 485 patients was r=0.83, P<0.001. CONCLUSIONS: Quantitative measurement of BME on MRI of the wrist has the potential to provide a feasible alternative to visual scoring. Complete automation requires automatic detection and compensation of acquisition artifacts. Magn Reson Med 79:1127–1134, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. John Wiley and Sons Inc. 2017-05-07 2018-02 /pmc/articles/PMC5811824/ /pubmed/28480581 http://dx.doi.org/10.1002/mrm.26712 Text en © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Full Papers—Computer Processing and Modeling Aizenberg, Evgeni Roex, Edgar A.H. Nieuwenhuis, Wouter P. Mangnus, Lukas van der Helm‐van Mil, Annette H.M. Reijnierse, Monique Bloem, Johan L. Lelieveldt, Boudewijn P.F. Stoel, Berend C. Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study |
title | Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study |
title_full | Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study |
title_fullStr | Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study |
title_full_unstemmed | Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study |
title_short | Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study |
title_sort | automatic quantification of bone marrow edema on mri of the wrist in patients with early arthritis: a feasibility study |
topic | Full Papers—Computer Processing and Modeling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811824/ https://www.ncbi.nlm.nih.gov/pubmed/28480581 http://dx.doi.org/10.1002/mrm.26712 |
work_keys_str_mv | AT aizenbergevgeni automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT roexedgarah automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT nieuwenhuiswouterp automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT mangnuslukas automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT vanderhelmvanmilannettehm automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT reijniersemonique automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT bloemjohanl automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT lelieveldtboudewijnpf automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy AT stoelberendc automaticquantificationofbonemarrowedemaonmriofthewristinpatientswithearlyarthritisafeasibilitystudy |