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Open Access 01-12-2024 | Prostate Cancer | Original Article

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

Authors: Leon M. Bischoff, Christoph Endler, Philipp Krausewitz, Joerg Ellinger, Niklas Klümper, Alexander Isaak, Narine Mesropyan, Dmitrij Kravchenko, Sebastian Nowak, Daniel Kuetting, Alois M. Sprinkart, Petra Mürtz, Claus C. Pieper, Ulrike Attenberger, Julian A. Luetkens

Published in: Insights into Imaging | Issue 1/2024

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Abstract

Objectives

To implement and evaluate a super-fast and high-quality biparametric MRI (bpMRI) protocol for prostate imaging acquired at a new ultra-high gradient 3.0-T MRI system.

Methods

Participants with clinically suspected prostate cancer prospectively underwent a multiparametric MRI (mpMRI) on a new 3.0-T MRI scanner (maximum gradient strength: 200 mT/m, maximum slew rate: 200 T/m/s). The bpMRI protocol was extracted from the full mpMRI protocol, including axial T2-weighted and diffusion-weighted (DWI) sequences (b0/800, b1500). Overall image quality was rated by two readers on a five-point Likert scale from (1) non-diagnostic to (5) excellent. PI-RADS 2.1 scores were assessed by three readers separately for the bpMRI and mpMRI protocols. Cohen’s and Fleiss’ κ were calculated for PI-RADS agreement between protocols and interrater reliability between readers, respectively.

Results

Seventy-seven male participants (mean age, 66 ± 8 years) were included. Acquisition time of the bpMRI protocol was reduced by 62% (bpMRI: 5 min, 33 ± 21 s; mpMRI: 14 min, 50 ± 42 s). The bpMRI protocol showed excellent overall image quality for both the T2-weighted (median score both readers: 5 [IQR: 4–5]) and DWI (b1500) sequence (median score reader 1: 4 [IQR: 4–5]; reader 2: 4 [IQR: 4–4]). PI-RADS score agreement between protocols was excellent (Cohen’s κ range: 0.91–0.95 [95% CI: 0.89, 0.99]) with an overall good interrater reliability (Fleiss’ κ, 0.86 [95% CI: 0.80, 0.92]).

Conclusion

Ultra-high gradient MRI allows the establishment of a high-quality and rapidly acquired bpMRI with high PI-RADS agreement to a full mpMRI protocol.

Trials registration

Clinicaltrials.gov, NCT06244680, Registered 06 February 2024, retrospectively registered, https://​classic.​clinicaltrials.​gov/​ct2/​show/​NCT06244680.

Critical relevance statement

A novel 3.0-Tesla MRI system with an ultra-high gradient performance enabled high-quality biparametric prostate MRI in 5.5 min while achieving excellent PI-RADS agreement with a standard multiparametric protocol.

Key Points

  • 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.

Graphical Abstract

Appendix
Available only for authorised users
Literature
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go back to reference De Visschere P, Lumen N, Ost P, Decaestecker K, Pattyn E, Villeirs G (2017) Dynamic contrast-enhanced imaging has limited added value over T2-weighted imaging and diffusion-weighted imaging when using PI-RADSv2 for diagnosis of clinically significant prostate cancer in patients with elevated PSA. Clin Radiol 72:23–32. https://doi.org/10.1016/j.crad.2016.09.011CrossRefPubMed De Visschere P, Lumen N, Ost P, Decaestecker K, Pattyn E, Villeirs G (2017) Dynamic contrast-enhanced imaging has limited added value over T2-weighted imaging and diffusion-weighted imaging when using PI-RADSv2 for diagnosis of clinically significant prostate cancer in patients with elevated PSA. Clin Radiol 72:23–32. https://​doi.​org/​10.​1016/​j.​crad.​2016.​09.​011CrossRefPubMed
Metadata
Title
Ultra-high gradient performance 3-Tesla MRI for super-fast and high-quality prostate imaging: initial experience
Authors
Leon M. Bischoff
Christoph Endler
Philipp Krausewitz
Joerg Ellinger
Niklas Klümper
Alexander Isaak
Narine Mesropyan
Dmitrij Kravchenko
Sebastian Nowak
Daniel Kuetting
Alois M. Sprinkart
Petra Mürtz
Claus C. Pieper
Ulrike Attenberger
Julian A. Luetkens
Publication date
01-12-2024
Publisher
Springer Vienna
Published in
Insights into Imaging / Issue 1/2024
Electronic ISSN: 1869-4101
DOI
https://doi.org/10.1186/s13244-024-01862-x