Image quality in whole-body MRI using the MY-RADS protocol in a prospective multi-centre multiple myeloma study.

Multi-centre trial Myeloma Quality control Whole-body MRI

Journal

Insights into imaging
ISSN: 1869-4101
Titre abrégé: Insights Imaging
Pays: Germany
ID NLM: 101532453

Informations de publication

Date de publication:
15 Oct 2023
Historique:
received: 11 05 2023
accepted: 08 08 2023
medline: 16 10 2023
pubmed: 16 10 2023
entrez: 15 10 2023
Statut: epublish

Résumé

The Myeloma Response Assessment and Diagnosis System (MY-RADS) guidelines establish a standardised acquisition and analysis pipeline for whole-body MRI (WB-MRI) in patients with myeloma. This is the first study to assess image quality in a multi-centre prospective trial using MY-RADS. The cohort consisted of 121 examinations acquired across ten sites with a range of prior WB-MRI experience, three scanner manufacturers and two field strengths. Image quality was evaluated qualitatively by a radiologist and quantitatively using a semi-automated pipeline to quantify common artefacts and image quality issues. The intra- and inter-rater repeatability of qualitative and quantitative scoring was also assessed. Qualitative radiological scoring found that the image quality was generally good, with 94% of examinations rated as good or excellent and only one examination rated as non-diagnostic. There was a significant correlation between radiological and quantitative scoring for most measures, and intra- and inter-rater repeatability were generally good. When the quality of an overall examination was low, this was often due to low quality diffusion-weighted imaging (DWI), where signal to noise ratio (SNR), anterior thoracic signal loss and brain geometric distortion were found as significant predictors of examination quality. It is possible to successfully deliver a multi-centre WB-MRI study using the MY-RADS protocol involving scanners with a range of manufacturers, models and field strengths. Quantitative measures of image quality were developed and shown to be significantly correlated with radiological assessment. The SNR of DW images was identified as a significant factor affecting overall examination quality. ClinicalTrials.gov, NCT03188172 , Registered on 15 June 2017. Good overall image quality, assessed both qualitatively and quantitatively, can be achieved in a multi-centre whole-body MRI study using the MY-RADS guidelines. • A prospective multi-centre WB-MRI study using MY-RADS can be successfully delivered. • Quantitative image quality metrics were developed and correlated with radiological assessment. • SNR in DWI was identified as a significant predictor of quality, allowing for rapid quality adjustment.

Sections du résumé

BACKGROUND BACKGROUND
The Myeloma Response Assessment and Diagnosis System (MY-RADS) guidelines establish a standardised acquisition and analysis pipeline for whole-body MRI (WB-MRI) in patients with myeloma. This is the first study to assess image quality in a multi-centre prospective trial using MY-RADS.
METHODS METHODS
The cohort consisted of 121 examinations acquired across ten sites with a range of prior WB-MRI experience, three scanner manufacturers and two field strengths. Image quality was evaluated qualitatively by a radiologist and quantitatively using a semi-automated pipeline to quantify common artefacts and image quality issues. The intra- and inter-rater repeatability of qualitative and quantitative scoring was also assessed.
RESULTS RESULTS
Qualitative radiological scoring found that the image quality was generally good, with 94% of examinations rated as good or excellent and only one examination rated as non-diagnostic. There was a significant correlation between radiological and quantitative scoring for most measures, and intra- and inter-rater repeatability were generally good. When the quality of an overall examination was low, this was often due to low quality diffusion-weighted imaging (DWI), where signal to noise ratio (SNR), anterior thoracic signal loss and brain geometric distortion were found as significant predictors of examination quality.
CONCLUSIONS CONCLUSIONS
It is possible to successfully deliver a multi-centre WB-MRI study using the MY-RADS protocol involving scanners with a range of manufacturers, models and field strengths. Quantitative measures of image quality were developed and shown to be significantly correlated with radiological assessment. The SNR of DW images was identified as a significant factor affecting overall examination quality.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov, NCT03188172 , Registered on 15 June 2017.
CRITICAL RELEVANCE STATEMENT UNASSIGNED
Good overall image quality, assessed both qualitatively and quantitatively, can be achieved in a multi-centre whole-body MRI study using the MY-RADS guidelines.
KEY POINTS CONCLUSIONS
• A prospective multi-centre WB-MRI study using MY-RADS can be successfully delivered. • Quantitative image quality metrics were developed and correlated with radiological assessment. • SNR in DWI was identified as a significant predictor of quality, allowing for rapid quality adjustment.

Identifiants

pubmed: 37840055
doi: 10.1186/s13244-023-01498-3
pii: 10.1186/s13244-023-01498-3
pmc: PMC10577121
doi:

Banques de données

ClinicalTrials.gov
['NCT03188172']

Types de publication

Journal Article

Langues

eng

Pagination

170

Subventions

Organisme : Cancer Research UK
ID : 25351
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 25354
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 25447
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 28677 (NCITA)
Pays : United Kingdom

Informations de copyright

© 2023. European Society of Radiology (ESR).

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Auteurs

Sam Keaveney (S)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK. Sam.Keaveney@rmh.nhs.uk.
Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK. Sam.Keaveney@rmh.nhs.uk.

Alina Dragan (A)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.

Mihaela Rata (M)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Matthew Blackledge (M)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Erica Scurr (E)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.

Jessica M Winfield (JM)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Joshua Shur (J)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.

Dow-Mu Koh (DM)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Nuria Porta (N)

Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.

Antonio Candito (A)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Alexander King (A)

University Hospital Southampton NHS Foundation Trust, Southampton, UK.

Winston Rennie (W)

University Hospitals of Leicester NHS Trust, Leicester, UK.

Suchi Gaba (S)

University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, UK.

Priya Suresh (P)

University Hospitals Plymouth NHS Trust, Plymouth, UK.

Paul Malcolm (P)

Norfolk & Norwich University Hospitals NHS Foundation Trust, Norwich, UK.

Amy Davis (A)

Epsom & St. Helier University Hospitals NHS Trust, Epsom, UK.

Anjumara Nilak (A)

Worcestershire Acute Hospitals NHS Trust, Worcester, UK.

Aarti Shah (A)

Hampshire Hospitals NHS Foundation Trust, Basingstoke, UK.

Sanjay Gandhi (S)

North Bristol NHS Trust, Bristol, UK.

Mauro Albrizio (M)

Nottingham University Hospitals NHS Trust, Nottingham, UK.

Arnold Drury (A)

Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK.

Guy Pratt (G)

University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.

Gordon Cook (G)

Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.
Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Sadie Roberts (S)

Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.

Matthew Jenner (M)

University Hospital Southampton NHS Foundation Trust, Southampton, UK.

Sarah Brown (S)

Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.

Martin Kaiser (M)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Christina Messiou (C)

MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.

Classifications MeSH