First-in-human in-vivo depiction of paraganglioma metabolism by hyperpolarised


Journal

BJR case reports
ISSN: 2055-7159
Titre abrégé: BJR Case Rep
Pays: England
ID NLM: 101684132

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 20 06 2022
revised: 31 07 2023
accepted: 10 08 2023
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 6 11 2023
Statut: epublish

Résumé

Phaeochromocytomas (PCC) and paragangliomas (PGL), cumulatively referred to as PPGLs, are neuroendocrine tumours arising from neural crest-derived cells in the sympathetic and parasympathetic nervous systems. Predicting future tumour behaviour and the likelihood of metastatic disease remains problematic as genotype-phenotype correlations are limited, the disease has variable penetrance and, to date, no reliable molecular, cellular or histological markers have emerged. Tumour metabolism quantification can be considered as a method to delineating tumour aggressiveness by utilising hyperpolarised

Identifiants

pubmed: 37928705
doi: 10.1259/bjrcr.20220089
pmc: PMC10621573
doi:

Types de publication

Case Reports

Langues

eng

Pagination

20220089

Subventions

Organisme : Cancer Research UK
ID : 26854
Pays : United Kingdom

Informations de copyright

© 2023 The Authors. Published by the British Institute of Radiology.

Références

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Auteurs

Rafat Chowdhury (R)

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

Myuri Moorthy (M)

Department of Endocrinology, University College London Hospital, London, UK.

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.

Harriet J Rogers (HJ)

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.

Tom Syer (T)

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.

Saurabh Singh (S)

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.

Thomas Parry (T)

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

Joey Clemente (J)

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.

Hassan Jeraj (H)

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.

Manju Mathew (M)

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

Teng Teng Chung (TT)

Department of Endocrinology, University College London Hospital, London, UK.

Scott Akker (S)

Department of Endocrinology, St Bartholomew's Hospital, London, UK.

Paul Chapple (P)

William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Grace A Salsbury (GA)

Department of Endocrinology, University College London Hospital, London, UK.

Alan Bainbridge (A)

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

David Atkinson (D)

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

David G Gadian (DG)

UCL Great Ormond Street Institute of Child Health, London, UK.

Umasuthan Srirangalingam (U)

Department of Endocrinology, University College London Hospital, London, UK.

Classifications MeSH