Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma.
<h4>Introduction</h4>To evaluate the effectiveness of iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging (MRI) to discriminate between symptomatic and asymptomatic myeloma in lumbar bone marrow without visible foca...
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2015-01-01
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| author | Miyuki Takasu Yoko Kaichi Chihiro Tani Shuji Date Yuji Akiyama Yoshiaki Kuroda Akira Sakai Kazuo Awai |
| author_facet | Miyuki Takasu Yoko Kaichi Chihiro Tani Shuji Date Yuji Akiyama Yoshiaki Kuroda Akira Sakai Kazuo Awai |
| author_sort | Miyuki Takasu |
| collection | DOAJ |
| description | <h4>Introduction</h4>To evaluate the effectiveness of iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging (MRI) to discriminate between symptomatic and asymptomatic myeloma in lumbar bone marrow without visible focal lesions.<h4>Materials and methods</h4>The lumbar spine was examined with 3-T MRI in 11 patients with asymptomatic myeloma and 24 patients with symptomatic myeloma. The fat-signal fraction was calculated from the ratio of the signal intensity in the fat image divided by the signal intensity of the corresponding ROI in the in-phase IDEAL image. The t test was used to compare the asymptomatic and symptomatic groups. ROC curves were constructed to determine the ability of variables to discriminate between symptomatic and asymptomatic myeloma.<h4>Results</h4>Univariate analysis showed that β2-microglobulin and bone marrow plasma cell percent (BMPC%) were significantly higher and fat-signal fraction was significantly lower with symptomatic myeloma than with asymptomatic myeloma. Areas under the curve were 0.847 for β2;-microglobulin, 0.834 for fat-signal fraction, and 0.759 for BMPC%.<h4>Conclusion</h4>The fat-signal fraction as a biomarker for multiple myeloma enables discrimination of symptomatic myeloma from asymptomatic myeloma. The fat-signal fraction offers superior sensitivity and specificity to BMPC% of biopsy specimens. |
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| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
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| spelling | doaj-art-2e741e5c081c4770a88ee5ed2f0f4bbb2025-08-20T02:15:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01102e011684210.1371/journal.pone.0116842Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma.Miyuki TakasuYoko KaichiChihiro TaniShuji DateYuji AkiyamaYoshiaki KurodaAkira SakaiKazuo Awai<h4>Introduction</h4>To evaluate the effectiveness of iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging (MRI) to discriminate between symptomatic and asymptomatic myeloma in lumbar bone marrow without visible focal lesions.<h4>Materials and methods</h4>The lumbar spine was examined with 3-T MRI in 11 patients with asymptomatic myeloma and 24 patients with symptomatic myeloma. The fat-signal fraction was calculated from the ratio of the signal intensity in the fat image divided by the signal intensity of the corresponding ROI in the in-phase IDEAL image. The t test was used to compare the asymptomatic and symptomatic groups. ROC curves were constructed to determine the ability of variables to discriminate between symptomatic and asymptomatic myeloma.<h4>Results</h4>Univariate analysis showed that β2-microglobulin and bone marrow plasma cell percent (BMPC%) were significantly higher and fat-signal fraction was significantly lower with symptomatic myeloma than with asymptomatic myeloma. Areas under the curve were 0.847 for β2;-microglobulin, 0.834 for fat-signal fraction, and 0.759 for BMPC%.<h4>Conclusion</h4>The fat-signal fraction as a biomarker for multiple myeloma enables discrimination of symptomatic myeloma from asymptomatic myeloma. The fat-signal fraction offers superior sensitivity and specificity to BMPC% of biopsy specimens.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0116842&type=printable |
| spellingShingle | Miyuki Takasu Yoko Kaichi Chihiro Tani Shuji Date Yuji Akiyama Yoshiaki Kuroda Akira Sakai Kazuo Awai Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma. PLoS ONE |
| title | Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma. |
| title_full | Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma. |
| title_fullStr | Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma. |
| title_full_unstemmed | Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma. |
| title_short | Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) magnetic resonance imaging as a biomarker for symptomatic multiple myeloma. |
| title_sort | iterative decomposition of water and fat with echo asymmetry and least squares estimation ideal magnetic resonance imaging as a biomarker for symptomatic multiple myeloma |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0116842&type=printable |
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