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1000 Titel
  • Enhancing gadoxetic acid–enhanced liver MRI: a synergistic approach with deep learning CAIPIRINHA-VIBE and optimized fat suppression techniques
1000 Autor/in
  1. Wei, Hong |
  2. Yoon, Jeong Hee |
  3. Jeon, Sun Kyung |
  4. Choi, Jae Won |
  5. Lee, Jihyuk |
  6. Kim, Jae Hyun |
  7. Nickel, Marcel Dominik |
  8. Song, Bin |
  9. Duan, Ting |
  10. Lee, Jeong Min |
1000 Verlag
  • Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-16
1000 Erschienen in
1000 Quellenangabe
  • 34(10):6712-6725
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00330-024-10693-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11399219/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Objective</jats:title> <jats:p>To investigate whether a deep learning (DL) controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-volumetric interpolated breath-hold examination (VIBE) technique can improve image quality, lesion conspicuity, and lesion detection compared to a standard CAIPIRINHA-VIBE technique in gadoxetic acid–enhanced liver MRI.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>This retrospective single-center study included 168 patients who underwent gadoxetic acid–enhanced liver MRI at 3 T using both standard CAIPIRINHA-VIBE and DL CAIPIRINHA-VIBE techniques on pre-contrast and hepatobiliary phase (HBP) images. Additionally, high-resolution (HR) DL CAIPIRINHA-VIBE was obtained with 1-mm slice thickness on the HBP. Three abdominal radiologists independently assessed the image quality and lesion conspicuity of pre-contrast and HBP images. Statistical analyses involved the Wilcoxon signed-rank test for image quality assessment and the generalized estimation equation for lesion conspicuity and detection evaluation.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>DL and HR-DL CAIPIRINHA-VIBE demonstrated significantly improved overall image quality and reduced artifacts on pre-contrast and HBP images compared to standard CAIPIRINHA-VIBE (<jats:italic>p</jats:italic> &lt; 0.001), with a shorter acquisition time (DL vs standard, 11 s vs 17 s). However, the former presented a more synthetic appearance (both <jats:italic>p</jats:italic> &lt; 0.05). HR-DL CAIPIRINHA-VIBE showed superior lesion conspicuity to standard and DL CAIPIRINHA-VIBE on HBP images (<jats:italic>p</jats:italic> &lt; 0.001). Moreover, HR-DL CAIPIRINHA-VIBE exhibited a significantly higher detection rate of small (&lt; 2 cm) solid focal liver lesions (FLLs) on HBP images compared to standard CAIPIRINHA-VIBE (92.5% vs 87.4%; odds ratio = 1.83; <jats:italic>p</jats:italic> = 0.036).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>DL and HR-DL CAIPIRINHA-VIBE achieved superior image quality compared to standard CAIPIRINHA-VIBE. Additionally, HR-DL CAIPIRINHA-VIBE improved the lesion conspicuity and detection of small solid FLLs. DL and HR-DL CAIPIRINHA-VIBE hold the potential clinical utility for gadoxetic acid–enhanced liver MRI.</jats:p> </jats:sec><jats:sec> <jats:title>Clinical relevance statement</jats:title> <jats:p>DL and HR-DL CAIPIRINHA-VIBE hold promise as potential alternatives to standard CAIPIRINHA-VIBE in routine clinical liver MRI, improving the image quality and lesion conspicuity, enhancing the detection of small (&lt; 2 cm) solid focal liver lesions, and reducing the acquisition time.</jats:p> </jats:sec><jats:sec> <jats:title>Key Points</jats:title> <jats:p>• <jats:italic>DL and HR-DL CAIPIRINHA-VIBE demonstrated improved overall image quality and reduced artifacts on pre-contrast and HBP images compared to standard CAIPIRINHA-VIBE, in addition to a shorter acquisition time.</jats:italic></jats:p> <jats:p>• <jats:italic>DL and HR-DL CAIPIRINHA-VIBE yielded a more synthetic appearance than standard CAIPIRINHA-VIBE.</jats:italic></jats:p> <jats:p>• <jats:italic>HR-DL CAIPIRINHA-VIBE showed improved lesion conspicuity than standard CAIPIRINHA-VIBE on HBP images, with a higher detection of small (</jats:italic>&lt; <jats:italic>2 cm) solid focal liver lesions.</jats:italic></jats:p> </jats:sec>
1000 Sacherschließung
lokal Female [MeSH]
lokal Aged, 80 and over [MeSH]
lokal Aged [MeSH]
lokal Liver Neoplasms/diagnostic imaging [MeSH]
lokal Adult [MeSH]
lokal Deep Learning [MeSH]
lokal Humans [MeSH]
lokal Gadolinium DTPA [MeSH]
lokal Retrospective Studies [MeSH]
lokal Artifacts [MeSH]
lokal Middle Aged [MeSH]
lokal Contrast Media [MeSH]
lokal Liver
lokal Image Enhancement/methods [MeSH]
lokal Male [MeSH]
lokal Image Interpretation, Computer-Assisted/methods [MeSH]
lokal Magnetic resonance imaging
lokal VIBE
lokal Magnetic Resonance Imaging/methods [MeSH]
lokal Magnetic Resonance
lokal Deep learning
lokal CAIPIRINHA
lokal Breath Holding [MeSH]
lokal Liver/diagnostic imaging [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2VpLCBIb25n|https://frl.publisso.de/adhoc/uri/WW9vbiwgSmVvbmcgSGVl|https://frl.publisso.de/adhoc/uri/SmVvbiwgU3VuIEt5dW5n|https://frl.publisso.de/adhoc/uri/Q2hvaSwgSmFlIFdvbg==|https://frl.publisso.de/adhoc/uri/TGVlLCBKaWh5dWs=|https://frl.publisso.de/adhoc/uri/S2ltLCBKYWUgSHl1bg==|https://frl.publisso.de/adhoc/uri/Tmlja2VsLCBNYXJjZWwgRG9taW5paw==|https://frl.publisso.de/adhoc/uri/U29uZywgQmlu|https://frl.publisso.de/adhoc/uri/RHVhbiwgVGluZw==|https://orcid.org/0000-0003-0561-8777
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  • DeepGreen-ID: d59700de4c424e039d4a4b0e36cc4637 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
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  1. Seoul National University |
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    1000 Förderer Seoul National University |
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