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Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings

PURPOSE: To quantify bowel motility shown on cine MRI using the classical optical flow algorithm and compare it with balloon-assisted enteroscopy (BAE) findings in patients with Crohn’s disease (CD). METHODS: This retrospective study included 29 consecutive patients with CD who had undergone MR ente...

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Autores principales: Kitazume, Yoshio, Takenaka, Kento, Ohtsuka, Kazuo, Ozawa, Yasuo, Kimura, Koichiro, Watanabe, Ryosuke, Tsuchiya, Junichi, Fujii, Toshimitsu, Nagahori, Masakazu, Watanabe, Mamoru, Tateishi, Ukihide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449560/
https://www.ncbi.nlm.nih.gov/pubmed/35545505
http://dx.doi.org/10.2463/mrms.mp.2021-0037
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author Kitazume, Yoshio
Takenaka, Kento
Ohtsuka, Kazuo
Ozawa, Yasuo
Kimura, Koichiro
Watanabe, Ryosuke
Tsuchiya, Junichi
Fujii, Toshimitsu
Nagahori, Masakazu
Watanabe, Mamoru
Tateishi, Ukihide
author_facet Kitazume, Yoshio
Takenaka, Kento
Ohtsuka, Kazuo
Ozawa, Yasuo
Kimura, Koichiro
Watanabe, Ryosuke
Tsuchiya, Junichi
Fujii, Toshimitsu
Nagahori, Masakazu
Watanabe, Mamoru
Tateishi, Ukihide
author_sort Kitazume, Yoshio
collection PubMed
description PURPOSE: To quantify bowel motility shown on cine MRI using the classical optical flow algorithm and compare it with balloon-assisted enteroscopy (BAE) findings in patients with Crohn’s disease (CD). METHODS: This retrospective study included 29 consecutive patients with CD who had undergone MR enterocolonography (MREC) and BAE between March and May 2017. We developed computer software to present motion vector magnitudes between consecutive cine MR images as bowel motility maps via a classical optical flow algorithm using the Horn-Schunck method. Cine MR images were acquired with a balanced steady-state free precession sequence in the coronal direction to capture small bowel motility. The small bowels were divided into three segments. In total, 63 bowel segments were assessed via BAE and MREC. Motility scores on the maps, simplified MR index of activity (sMaRIA), and MREC score derived from a 5-point MR classification were assessed independently by two radiologists and compared with the CD endoscopic index of severity (CDEIS). Correlations were assessed using Spearman’s rank coefficient. The areas under the receiver-operating characteristic curve (AUCs) of motility score for differentiating CDEIS was calculated; a P value < 0.05 was considered statistically significant. RESULTS: Motility score was negatively correlated with CDEIS (r = −0.59 [P < 0.001] and −0.54 [P < 0.001]), and the AUCs of motility scores for detecting CDEIS ≥ 3 were 88.2% and 78.6% for observers 1 and 2, respectively. There were no significant differences in the AUC for detecting CDEIS ≥ 3 and CDEIS ≥ 12 between motility and sMaRIA or MREC score. CONCLUSION: The motility map was feasible for locally quantifying the bowel motility. In addition, the motility score on the map reflected the endoscopic inflammatory activity of each small bowel segment in patients with CD; hence, it could be used as a tool in objectively interpreting cine MREC to predict inflammatory activity in CD.
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spelling pubmed-104495602023-08-25 Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings Kitazume, Yoshio Takenaka, Kento Ohtsuka, Kazuo Ozawa, Yasuo Kimura, Koichiro Watanabe, Ryosuke Tsuchiya, Junichi Fujii, Toshimitsu Nagahori, Masakazu Watanabe, Mamoru Tateishi, Ukihide Magn Reson Med Sci Major Paper PURPOSE: To quantify bowel motility shown on cine MRI using the classical optical flow algorithm and compare it with balloon-assisted enteroscopy (BAE) findings in patients with Crohn’s disease (CD). METHODS: This retrospective study included 29 consecutive patients with CD who had undergone MR enterocolonography (MREC) and BAE between March and May 2017. We developed computer software to present motion vector magnitudes between consecutive cine MR images as bowel motility maps via a classical optical flow algorithm using the Horn-Schunck method. Cine MR images were acquired with a balanced steady-state free precession sequence in the coronal direction to capture small bowel motility. The small bowels were divided into three segments. In total, 63 bowel segments were assessed via BAE and MREC. Motility scores on the maps, simplified MR index of activity (sMaRIA), and MREC score derived from a 5-point MR classification were assessed independently by two radiologists and compared with the CD endoscopic index of severity (CDEIS). Correlations were assessed using Spearman’s rank coefficient. The areas under the receiver-operating characteristic curve (AUCs) of motility score for differentiating CDEIS was calculated; a P value < 0.05 was considered statistically significant. RESULTS: Motility score was negatively correlated with CDEIS (r = −0.59 [P < 0.001] and −0.54 [P < 0.001]), and the AUCs of motility scores for detecting CDEIS ≥ 3 were 88.2% and 78.6% for observers 1 and 2, respectively. There were no significant differences in the AUC for detecting CDEIS ≥ 3 and CDEIS ≥ 12 between motility and sMaRIA or MREC score. CONCLUSION: The motility map was feasible for locally quantifying the bowel motility. In addition, the motility score on the map reflected the endoscopic inflammatory activity of each small bowel segment in patients with CD; hence, it could be used as a tool in objectively interpreting cine MREC to predict inflammatory activity in CD. Japanese Society for Magnetic Resonance in Medicine 2022-05-10 /pmc/articles/PMC10449560/ /pubmed/35545505 http://dx.doi.org/10.2463/mrms.mp.2021-0037 Text en ©2022 Japanese Society for Magnetic Resonance in Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Major Paper
Kitazume, Yoshio
Takenaka, Kento
Ohtsuka, Kazuo
Ozawa, Yasuo
Kimura, Koichiro
Watanabe, Ryosuke
Tsuchiya, Junichi
Fujii, Toshimitsu
Nagahori, Masakazu
Watanabe, Mamoru
Tateishi, Ukihide
Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
title Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
title_full Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
title_fullStr Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
title_full_unstemmed Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
title_short Motility Mapping Quantification Using the Classical Optical Flow Algorithm for Small Bowel Crohn’s Disease: Comparison with Balloon-assisted Enteroscopy Findings
title_sort motility mapping quantification using the classical optical flow algorithm for small bowel crohn’s disease: comparison with balloon-assisted enteroscopy findings
topic Major Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449560/
https://www.ncbi.nlm.nih.gov/pubmed/35545505
http://dx.doi.org/10.2463/mrms.mp.2021-0037
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