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Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging
BACKGROUND: Diffusion-weighted imaging (DWI) has become a useful tool in the detection, characterization, and evaluation of response to treatment of many cancers, including malignant liver lesions. DWI offers higher image contrast between lesions and normal liver tissue than other sequences. DWI ima...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885723/ https://www.ncbi.nlm.nih.gov/pubmed/31798795 http://dx.doi.org/10.4329/wjr.v11.i11.134 |
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author | Szklaruk, Janio Son, Jong Bum Wei, Wei Bhosale, Priya Javadi, Sanaz Ma, Jingfei |
author_facet | Szklaruk, Janio Son, Jong Bum Wei, Wei Bhosale, Priya Javadi, Sanaz Ma, Jingfei |
author_sort | Szklaruk, Janio |
collection | PubMed |
description | BACKGROUND: Diffusion-weighted imaging (DWI) has become a useful tool in the detection, characterization, and evaluation of response to treatment of many cancers, including malignant liver lesions. DWI offers higher image contrast between lesions and normal liver tissue than other sequences. DWI images acquired at two or more b-values can be used to derive an apparent diffusion coefficient (ADC). DWI in the body has several technical challenges. This include ghosting artifacts, mis-registration and susceptibility artifacts. New DWI sequences have been developed to overcome some of these challenges. Our goal is to evaluate 3 new DWI sequences for liver imaging. AIM: To qualitatively and quantitatively compare 3 DWI sequences for liver imaging: free-breathing (FB), simultaneous multislice (SMS), and prospective acquisition correction (PACE). METHODS: Magnetic resonance imaging (MRI) was performed in 20 patients in this prospective study. The MR study included 3 separate DWI sequences: FB-DWI, SMS-DWI, and PACE-DWI. The image quality, mean ADC, standard deviations (SD) of ADC, and ADC histogram were compared. Wilcoxon signed-rank tests were used to compare qualitative image quality. A linear mixed model was used to compare the mean ADC and the SDs of the ADC values. All tests were 2-sided and P values of < 0.05 were considered statistically significant. RESULTS: There were 56 lesions (50 malignant) evaluated in this study. The mean qualitative image quality score of PACE-DWI was 4.48. This was significantly better than that of SMS-DWI (4.22) and FB-DWI (3.15) (P < 0.05). Quantitatively, the mean ADC values from the 3 different sequences did not significantly differ for each liver lesion. FB-DWI had a markedly higher variation in the SD of the ADC values than did SMS-DWI and PACE-DWI. We found statistically significant differences in the SDs of the ADC values for FB-DWI vs PACE-DWI (P < 0.0001) and for FB-DWI vs SMS-DWI (P = 0.03). The SD of the ADC values was not statistically significant for PACE-DWI and SMS-DWI (P = 0.18). The quality of the PACE-DWI ADC histograms were considered better than the SMS-DWI and FB-DWI. CONCLUSION: Compared to FB-DWI, both PACE-DWI and SMS-DWI provide better image quality and decreased quantitative variability in the measurement of ADC values of liver lesions. |
format | Online Article Text |
id | pubmed-6885723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-68857232019-12-03 Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging Szklaruk, Janio Son, Jong Bum Wei, Wei Bhosale, Priya Javadi, Sanaz Ma, Jingfei World J Radiol Observational Study BACKGROUND: Diffusion-weighted imaging (DWI) has become a useful tool in the detection, characterization, and evaluation of response to treatment of many cancers, including malignant liver lesions. DWI offers higher image contrast between lesions and normal liver tissue than other sequences. DWI images acquired at two or more b-values can be used to derive an apparent diffusion coefficient (ADC). DWI in the body has several technical challenges. This include ghosting artifacts, mis-registration and susceptibility artifacts. New DWI sequences have been developed to overcome some of these challenges. Our goal is to evaluate 3 new DWI sequences for liver imaging. AIM: To qualitatively and quantitatively compare 3 DWI sequences for liver imaging: free-breathing (FB), simultaneous multislice (SMS), and prospective acquisition correction (PACE). METHODS: Magnetic resonance imaging (MRI) was performed in 20 patients in this prospective study. The MR study included 3 separate DWI sequences: FB-DWI, SMS-DWI, and PACE-DWI. The image quality, mean ADC, standard deviations (SD) of ADC, and ADC histogram were compared. Wilcoxon signed-rank tests were used to compare qualitative image quality. A linear mixed model was used to compare the mean ADC and the SDs of the ADC values. All tests were 2-sided and P values of < 0.05 were considered statistically significant. RESULTS: There were 56 lesions (50 malignant) evaluated in this study. The mean qualitative image quality score of PACE-DWI was 4.48. This was significantly better than that of SMS-DWI (4.22) and FB-DWI (3.15) (P < 0.05). Quantitatively, the mean ADC values from the 3 different sequences did not significantly differ for each liver lesion. FB-DWI had a markedly higher variation in the SD of the ADC values than did SMS-DWI and PACE-DWI. We found statistically significant differences in the SDs of the ADC values for FB-DWI vs PACE-DWI (P < 0.0001) and for FB-DWI vs SMS-DWI (P = 0.03). The SD of the ADC values was not statistically significant for PACE-DWI and SMS-DWI (P = 0.18). The quality of the PACE-DWI ADC histograms were considered better than the SMS-DWI and FB-DWI. CONCLUSION: Compared to FB-DWI, both PACE-DWI and SMS-DWI provide better image quality and decreased quantitative variability in the measurement of ADC values of liver lesions. Baishideng Publishing Group Inc 2019-11-28 2019-11-28 /pmc/articles/PMC6885723/ /pubmed/31798795 http://dx.doi.org/10.4329/wjr.v11.i11.134 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Observational Study Szklaruk, Janio Son, Jong Bum Wei, Wei Bhosale, Priya Javadi, Sanaz Ma, Jingfei Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
title | Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
title_full | Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
title_fullStr | Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
title_full_unstemmed | Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
title_short | Comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
title_sort | comparison of free breathing and respiratory triggered diffusion-weighted imaging sequences for liver imaging |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6885723/ https://www.ncbi.nlm.nih.gov/pubmed/31798795 http://dx.doi.org/10.4329/wjr.v11.i11.134 |
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