Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2024Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5T and 3T.citations

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Yuan, Qing
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Pedrosa, Ivan
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Velikina, Julia
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Yokoo, Takeshi
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Buelo, Collin J.
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Hernando, Diego
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Reeder, Scott B.
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Karampinos, Dimitrios C.
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Vasanawala, Shreyas
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Ruschke, Stefan
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Mattison, Ryan J.
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Harris, David T.
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Zhao, Ruiyang
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Mao, Lu
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Ghasabeh, Mounes Aliyari
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Jeng, Michael R.
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2024

Co-Authors (by relevance)

  • Yuan, Qing
  • Pedrosa, Ivan
  • Velikina, Julia
  • Yokoo, Takeshi
  • Buelo, Collin J.
  • Hernando, Diego
  • Reeder, Scott B.
  • Karampinos, Dimitrios C.
  • Vasanawala, Shreyas
  • Ruschke, Stefan
  • Mattison, Ryan J.
  • Harris, David T.
  • Zhao, Ruiyang
  • Mao, Lu
  • Ghasabeh, Mounes Aliyari
  • Jeng, Michael R.
OrganizationsLocationPeople

article

Multicenter, multivendor validation of liver quantitative susceptibility mapping in patients with iron overload at 1.5T and 3T.

  • Yuan, Qing
  • Kamel, Ihab R.
  • Pedrosa, Ivan
  • Velikina, Julia
  • Yokoo, Takeshi
  • Buelo, Collin J.
  • Hernando, Diego
  • Reeder, Scott B.
  • Karampinos, Dimitrios C.
  • Vasanawala, Shreyas
  • Ruschke, Stefan
  • Mattison, Ryan J.
  • Harris, David T.
  • Zhao, Ruiyang
  • Mao, Lu
  • Ghasabeh, Mounes Aliyari
  • Jeng, Michael R.
Abstract

PURPOSE: To evaluate the repeatability and reproducibility of QSM of the liver via single breath-hold chemical shift-encoded MRI at both 1.5T and 3T in a multicenter, multivendor study in subjects with iron overload.METHODS: This prospective study included four academic medical centers with three different MRI vendors at 1.5T and 3T. Subjects with known or suspected liver iron overload underwent multi-echo spoiled gradient-recalled-echo scans at each field strength. A subset received repeatability testing at either 1.5T or 3T. Susceptibility andR 2 *{{R}}_2^maps were reconstructed from the multi-echo images and analyzed at a single center. QSM-measured susceptibility was compared withR 2 *{{R}}_2^and a commercial R2-based liver iron concentration method across centers and field strengths using linear regression and F-tests on the intercept and slope. Field-strength reproducibility and test/retest repeatability were evaluated using Bland-Altman analysis.RESULTS: A total of 155/80 data sets (test/retest) were available at 1.5T, and 159/70 data sets (test/retest) were available at 3T. Calibrations across sites were reproducible, with some variability (e.g., susceptibility slope with liver iron concentration ranged from 0.102 to 0.123g/[mg·ppm] across centers at 1.5T). Field strength reproducibility was good (concordance correlation coefficient=0.862), and test/retest repeatability was excellent (intraclass correlation coefficient=0.951).CONCLUSION: QSM as an imaging biomarker of liver iron overload is feasible and repeatable across centers and MR vendors. It may be complementary withR 2 *{{R}}_2^as they are obtained from the same acquisition. Although good reproducibility was observed, liver QSM may benefit from standardization of acquisition parameters. Overall, QSM is a promising method for liver iron quantification.

Topics
  • impedance spectroscopy
  • strength
  • iron
  • susceptibility