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Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes

BACKGROUND: Bone marrow of patients with aplastic anemia (AA) is different from that of patients with myelodysplastic syndrome (MDS) and is difficult to identify by blood examination. IDEAL‐IQ (iterative decomposition of water and fat with echo asymmetry and least‐squares estimation) imaging might b...

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Autores principales: Zeng, Zhaolong, Ma, Xiangzheng, Guo, Yifan, Ye, Baodong, Xu, Maosheng, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292058/
https://www.ncbi.nlm.nih.gov/pubmed/34117662
http://dx.doi.org/10.1002/jmri.27769
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author Zeng, Zhaolong
Ma, Xiangzheng
Guo, Yifan
Ye, Baodong
Xu, Maosheng
Wang, Wei
author_facet Zeng, Zhaolong
Ma, Xiangzheng
Guo, Yifan
Ye, Baodong
Xu, Maosheng
Wang, Wei
author_sort Zeng, Zhaolong
collection PubMed
description BACKGROUND: Bone marrow of patients with aplastic anemia (AA) is different from that of patients with myelodysplastic syndrome (MDS) and is difficult to identify by blood examination. IDEAL‐IQ (iterative decomposition of water and fat with echo asymmetry and least‐squares estimation) imaging might be able to quantify fat fraction (FF) and iron content in bone tissues. PURPOSE: To determine if IDEAL‐IQ measurements of bone marrow FF and iron content can distinguish between patients with AA and MDS. STUDY TYPE: Retrospective. POPULATION: Fifty‐seven patients with AA, 21 patients with MDS, and 24 healthy controls. FIELD STRENGTH/SEQUENCE: 3.0 T, IDEAL‐IQ sequence. ASSESSMENT: Three independent observers evaluated the IDEAL‐IQ images and measured FF and R2* in the left posterior superior iliac spine. STATISTICAL TESTS: Kruskal–Wallis test, linear correlations, and Bland–Altman analysis were used. A P‐value of <0.05 was considered statistically significant. RESULTS: The FF in patients with AA (79.46% ± 15.00%) was significantly higher than that in patients with MDS (42.78% ± 30.09%) and control subjects (65.50% ± 14.73%). However, there was no significant difference in FF between control subjects and patients with MDS (P = 0.439). The R2* value of AA, MDS, and controls was 145.38 ± 53.33, (171.13 ± 100.89, and 135.99 ± 32.41/second, respectively, with no significant difference between the three groups (P = 0.553). DATA CONCLUSION: Quantitative IDEAL‐IQ magnetic resonance imaging may facilitate the diagnosis of AA and distinguish it from MDS. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2
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spelling pubmed-92920582022-07-20 Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes Zeng, Zhaolong Ma, Xiangzheng Guo, Yifan Ye, Baodong Xu, Maosheng Wang, Wei J Magn Reson Imaging Research Articles BACKGROUND: Bone marrow of patients with aplastic anemia (AA) is different from that of patients with myelodysplastic syndrome (MDS) and is difficult to identify by blood examination. IDEAL‐IQ (iterative decomposition of water and fat with echo asymmetry and least‐squares estimation) imaging might be able to quantify fat fraction (FF) and iron content in bone tissues. PURPOSE: To determine if IDEAL‐IQ measurements of bone marrow FF and iron content can distinguish between patients with AA and MDS. STUDY TYPE: Retrospective. POPULATION: Fifty‐seven patients with AA, 21 patients with MDS, and 24 healthy controls. FIELD STRENGTH/SEQUENCE: 3.0 T, IDEAL‐IQ sequence. ASSESSMENT: Three independent observers evaluated the IDEAL‐IQ images and measured FF and R2* in the left posterior superior iliac spine. STATISTICAL TESTS: Kruskal–Wallis test, linear correlations, and Bland–Altman analysis were used. A P‐value of <0.05 was considered statistically significant. RESULTS: The FF in patients with AA (79.46% ± 15.00%) was significantly higher than that in patients with MDS (42.78% ± 30.09%) and control subjects (65.50% ± 14.73%). However, there was no significant difference in FF between control subjects and patients with MDS (P = 0.439). The R2* value of AA, MDS, and controls was 145.38 ± 53.33, (171.13 ± 100.89, and 135.99 ± 32.41/second, respectively, with no significant difference between the three groups (P = 0.553). DATA CONCLUSION: Quantitative IDEAL‐IQ magnetic resonance imaging may facilitate the diagnosis of AA and distinguish it from MDS. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 2 John Wiley & Sons, Inc. 2021-06-11 2021-12 /pmc/articles/PMC9292058/ /pubmed/34117662 http://dx.doi.org/10.1002/jmri.27769 Text en © 2021 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zeng, Zhaolong
Ma, Xiangzheng
Guo, Yifan
Ye, Baodong
Xu, Maosheng
Wang, Wei
Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes
title Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes
title_full Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes
title_fullStr Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes
title_full_unstemmed Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes
title_short Quantifying Bone Marrow Fat Fraction and Iron by MRI for Distinguishing Aplastic Anemia from Myelodysplastic Syndromes
title_sort quantifying bone marrow fat fraction and iron by mri for distinguishing aplastic anemia from myelodysplastic syndromes
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9292058/
https://www.ncbi.nlm.nih.gov/pubmed/34117662
http://dx.doi.org/10.1002/jmri.27769
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