Quantification of Prostate Cancer Metabolism Using 3D Multiecho bSSFP and Hyperpolarized [1-

Male Humans Middle Aged Aged Pyruvic Acid / chemistry Retrospective Studies Cohort Studies Prostatic Neoplasms / diagnostic imaging Magnetic Resonance Imaging / methods Lactic Acid
bSSFP hyperpolarized [1-13C] pyruvate metabolic 13C-MRI

Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
06 2023
Historique:
revised: 09 09 2022
received: 20 05 2022
accepted: 09 09 2022
medline: 18 5 2023
pubmed: 1 11 2022
entrez: 31 10 2022
Statut: ppublish

Résumé

Three-dimensional (3D) multiecho balanced steady-state free precession (ME-bSSFP) has previously been demonstrated in preclinical hyperpolarized (HP) To validate a signal simulation framework for the use of sequence parameter optimization. To demonstrate the feasibility of ME-bSSFP for HP Retrospective single-center cohort study. Phantoms containing aqueous solutions of [1- The primary endpoint was the analysis of pyruvate-to-lactate conversion in PCa and healthy prostate regions of interest (ROIs) using model-free area under the curve (AUC) ratios and a one-directional kinetic model (k Pearson correlation coefficients with 95% confidence intervals and paired t-tests. The level of statistical significance was set at P < 0.05. Strong correlations between simulated and empirical ME-bSSFP signals were found (r > 0.96). Therefore, the simulation framework was used for sequence optimization. Whole prostate metabolic HP Metabolic HP 2 TECHNICAL EFFICACY: Stage 1.

Sections du résumé

BACKGROUND
Three-dimensional (3D) multiecho balanced steady-state free precession (ME-bSSFP) has previously been demonstrated in preclinical hyperpolarized (HP)
PURPOSE
To validate a signal simulation framework for the use of sequence parameter optimization. To demonstrate the feasibility of ME-bSSFP for HP
STUDY TYPE
Retrospective single-center cohort study.
PHANTOMS/POPULATION
Phantoms containing aqueous solutions of [1-
ASSESSMENT
The primary endpoint was the analysis of pyruvate-to-lactate conversion in PCa and healthy prostate regions of interest (ROIs) using model-free area under the curve (AUC) ratios and a one-directional kinetic model (k
STATISTICAL TESTS
Pearson correlation coefficients with 95% confidence intervals and paired t-tests. The level of statistical significance was set at P < 0.05.
RESULTS
Strong correlations between simulated and empirical ME-bSSFP signals were found (r > 0.96). Therefore, the simulation framework was used for sequence optimization. Whole prostate metabolic HP
DATA CONCLUSION
Metabolic HP
EVIDENCE LEVEL
2 TECHNICAL EFFICACY: Stage 1.

Identifiants

DOI: 10.1002/jmri.28467 PMID: 36315000
pubmed: 36315000
doi: 10.1002/jmri.28467
doi:

Substances chimiques

Pyruvic Acid 8558G7RUTR
Lactic Acid 33X04XA5AT

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1865-1875

Subventions

Organisme : Department of Health
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M009092/1
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C42780/A26854
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/R505973/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

© 2022 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Rafat Chowdhury (R)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Christoph A Mueller (CA)

Department of Radiology, Medical Physics, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
ORCID: 0000-0002-8187-9170

Lorna Smith (L)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Fiona Gong (F)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Marianthi-Vasiliki Papoutsaki (MV)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Harriet Rogers (H)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Tom Syer (T)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Saurabh Singh (S)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Giorgio Brembilla (G)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Adam Retter (A)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Max Bullock (M)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Lucy Caselton (L)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Manju Mathew (M)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Eoin Dineen (E)

Division of Surgery and Interventional Science, University College London, London, UK.

Thomas Parry (T)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Jürgen Hennig (J)

Department of Radiology, Medical Physics, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Dominik von Elverfeldt (D)

Department of Radiology, Medical Physics, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Andreas B Schmidt (AB)

Department of Radiology, Medical Physics, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
German Cancer Consortium (DKTK), partner site Freiburg and German Cancer Research Center (DKFZ), Heidelberg, Germany.
Department of Radiology, and Neuroradiology, Section Biomedical Imaging, MOIN CC, University Medical Center Schleswig-Holstein, University of Kiel, Kiel, Germany.

Jan-Bernd Hövener (JB)

Department of Radiology, and Neuroradiology, Section Biomedical Imaging, MOIN CC, University Medical Center Schleswig-Holstein, University of Kiel, Kiel, Germany.

Mark Emberton (M)

Division of Surgery and Interventional Science, University College London, London, UK.

David Atkinson (D)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.

Alan Bainbridge (A)

Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, UK.

David G Gadian (DG)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.
UCL Great Ormond Street Institute of Child Health, London, UK.

Shonit Punwani (S)

Centre for Medical Imaging, Division of Medicine, University College London, London, UK.
Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UK.
ORCID: 0000-0002-1014-0870

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Composés chimiques organiques › Acides carboxyliques › Cétoacides › Pyruvates › Acide pyruvique › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études rétrospectives › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Maladies urogénitales › Tumeurs de l'appareil urogénital › Tumeurs de l'appareil génital mâle › Tumeurs de la prostate › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Quantification of Prostate Cancer Metabolism...
questionsmedicales.fr › Composés chimiques organiques › Acides carboxyliques › Hydroxyacides › Lactates › Acide lactique › Quantification of Prostate Cancer Metabolism...