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Synthetic MRI with Magnetic Resonance Spin TomogrAphy in Time-Domain (MR-STAT): Results from a Prospective Cross-Sectional Clinical Trial.
Kleinloog, Jordi P D; Mandija, Stefano; D'Agata, Federico; Liu, Hongyan; van der Heide, Oscar; Koktas, Beyza; Dankbaar, Jan Willem; Keil, Vera C; Vonken, Evert-Jan; Jacobs, Sarah M; van den Berg, Cornelis A T; Hendrikse, Jeroen; van der Kolk, Anja G; Sbrizzi, Alessandro.
Afiliação
  • Kleinloog JPD; Computational Imaging Group for MR Therapy and Diagnostics, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Mandija S; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • D'Agata F; Computational Imaging Group for MR Therapy and Diagnostics, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Liu H; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • van der Heide O; Department of Neurosciences, University of Turin, Turin, Italy.
  • Koktas B; Computational Imaging Group for MR Therapy and Diagnostics, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Dankbaar JW; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Keil VC; Computational Imaging Group for MR Therapy and Diagnostics, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Vonken EJ; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Jacobs SM; Computational Imaging Group for MR Therapy and Diagnostics, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • van den Berg CAT; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Hendrikse J; Department of Radiology, Amsterdam University Medical Center, Amsterdam, The Netherlands.
  • van der Kolk AG; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Sbrizzi A; Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
J Magn Reson Imaging ; 57(5): 1451-1461, 2023 05.
Article em En | MEDLINE | ID: mdl-36098348
ABSTRACT

BACKGROUND:

Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) can reconstruct whole-brain multi-parametric quantitative maps (eg, T1 , T2 ) from a 5-minute MR acquisition. These quantitative maps can be leveraged for synthetization of clinical image contrasts.

PURPOSE:

The objective was to assess image quality and overall diagnostic accuracy of synthetic MR-STAT contrasts compared to conventional contrast-weighted images. STUDY TYPE Prospective cross-sectional clinical trial. POPULATION Fifty participants with a median age of 45 years (range 21-79 years) consisting of 10 healthy participants and 40 patients with neurological diseases (brain tumor, epilepsy, multiple sclerosis or stroke). FIELD STRENGTH/SEQUENCE 3T/Conventional contrast-weighted imaging (T1 /T2 weighted, proton density [PD] weighted, and fluid-attenuated inversion recovery [FLAIR]) and a MR-STAT acquisition (2D Cartesian spoiled gradient echo with varying flip angle preceded by a non-selective inversion pulse). ASSESSMENT Quantitative T1 , T2 , and PD maps were computed from the MR-STAT acquisition, from which synthetic contrasts were generated. Three neuroradiologists blinded for image type and disease randomly and independently evaluated synthetic and conventional datasets for image quality and diagnostic accuracy, which was assessed by comparison with the clinically confirmed diagnosis. STATISTICAL TESTS Image quality and consequent acceptability for diagnostic use was assessed with a McNemar's test (one-sided α = 0.025). Wilcoxon signed rank test with a one-sided α = 0.025 and a margin of Δ = 0.5 on the 5-level Likert scale was used to assess non-inferiority.

RESULTS:

All data sets were similar in acceptability for diagnostic use (≥3 Likert-scale) between techniques (T1 wP = 0.105, PDwP = 1.000, FLAIRP = 0.564). However, only the synthetic MR-STAT T2 weighted images were significantly non-inferior to their conventional counterpart; all other synthetic datasets were inferior (T1 wP = 0.260, PDwP = 1.000, FLAIRP = 1.000). Moreover, true positive/negative rates were similar between techniques (conventional 88%, MR-STAT 84%). DATA

CONCLUSION:

MR-STAT is a quantitative technique that may provide radiologists with clinically useful synthetic contrast images within substantially reduced scan time. EVIDENCE LEVEL 1 Technical Efficacy Stage 2.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Tipo de estudo: Clinical_trials / Prevalence_studies Limite: Adult / Aged / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Tipo de estudo: Clinical_trials / Prevalence_studies Limite: Adult / Aged / Humans / Middle aged Idioma: En Revista: J Magn Reson Imaging Ano de publicação: 2023 Tipo de documento: Article