Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience

Multi- and biparametric prostate MRIs were prospectively acquired utilizing a maximum gradient of 200 mT/m. Super-fast biparametric MRIs showed excellent image quality and had high PI-RADS agreement with multiparametric MRIs. Implementation of high gradient MRI in clinical routine allows accelerated and high-quality biparametric prostate examinations.

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Publication Details

Journal
Insights into Imaging
Published
2024-11-29
DOI
https://doi.org/10.1186/s13244-024-01862-x
Citations
6
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.51
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article

Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience

Daniel Kuetting, Philipp Krausewitz, Petra Mürtz, Julian Alexander Luetkens et al.
6 citations
Insights into Imaging
Prostate Cancer Diagnosis and Treatment
2.51
article

Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience

Daniel Kuetting, Philipp Krausewitz, Petra Mürtz, Julian Alexander Luetkens, Dmitrij Kravchenko, Claus Christian Pieper, Jörg Ellinger, Ulrike Attenberger, Christoph Endler, Sebastian Nowak, Narine Mesropyan, Alexander Isaak, Leon Bischoff, Niklas Klümper, Alois M. Sprinkart
article en
6 citations

Abstract

Multi- and biparametric prostate MRIs were prospectively acquired utilizing a maximum gradient of 200 mT/m. Super-fast biparametric MRIs showed excellent image quality and had high PI-RADS agreement with multiparametric MRIs. Implementation of high gradient MRI in clinical routine allows accelerated and high-quality biparametric prostate examinations.

Insights into ImagingVol. 15(1)
University Hospital Bonn (DE)
Openalex Percentile: Top 10%
Prostate Cancer Diagnosis and Treatment
2.51
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Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience — Daniel Kuetting, Philipp Krausewitz, et al. · Insights into Imaging (2024) | TGRS Research Map | TGRS