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An international survey of diffusion and perfusion magnetic resonance imaging implementation in the head and neck

  • Steve Connor*
  • , Alexander Christoforou
  • , Philip Touska
  • , Soraya Robinson
  • , Nancy J. Fischbein
  • , Pim de Graaf
  • , Anne R.J. Péporté
  • , Jussi Hirvonen
  • , Darka Hadnadjev Šimonji
  • , Gloria J. Guzmán Pérez-Carrillo
  • , Xin Wu
  • , Christine Glastonbury
  • , Kristine M. Mosier
  • , Ashok Srinivasan
  • *Corresponding author for this work
  • King's College London
  • St Thomas' Hospital
  • Imaging Urania
  • Stanford University School of Medicine
  • VU Amsterdam
  • Cancer Center Amsterdam
  • Cantonal Hospital
  • University of Tampere and Tampere University Hospital
  • School of Medicine
  • Clinical Center of Vojvodina
  • Faculty of Medicine, University of Novi Sad
  • Washington University in St Louis
  • UCSF School of Medicine
  • Indiana University Bloomington
  • University of Michigan

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
50 Downloads (Pure)

Abstract

Objective: The goal of this international survey was to understand how diffusion (DWI) and perfusion imaging (PWI) are being applied to clinical head and neck imaging. Methods and materials: An online questionnaire focusing on acquisition, clinical indications, analysis, and reporting of qualitative DWI (QlDWI), quantitative DWI (QnDWI) and dynamic contrast-enhanced PWI (DCE-PWI) in the head and neck was circulated to members of the American Society of Head and Neck Radiology (ASHNR) and European Society of Head and Neck Radiology (ESHNR) over a 3-month period. Descriptive statistics and group comparisons were calculated with SPSS® v27. Results: There were 294 unique respondents (17.6% response rate) from 256 institutions (182 ESHNR, 74 ASHNR). DWI was routinely acquired for some head and neck indications at 95.7% of the respondents’ institutions, with 92.5% of radiologists interpreting QlDWI but only 36.7% analysing QnDWI. QlDWI was most frequently applied to primary mucosal masses or the middle ear, whilst QnDWI was routinely used to distinguish tumour histologies, and primary or recurrent carcinoma. DCE-PWI was routinely acquired at 53.6% of institutions and used by 40.8% of respondents, however, there was no clinical scenario in which it was routinely applied by most users. DCE-PWI analysis methods varied, with time-intensity curve classifications being the most frequently reported. Lack of standardisation was identified as a key reason for not implementing QnDWI, whilst numerous factors prevented the adoption of DCE-PWI. Conclusion: There is widespread routine interpretation of QlDWI by head and neck radiologists, but there is considerable variation in the application and analysis of head and neck QnDWI and DCE-PWI. Key Points: Question How are diffusion (DWI) and dynamic contrast-enhanced perfusion imaging (DCE-PWI) being utilised by head and neck radiologists across a wide range of practices? Findings An international survey demonstrated widespread routine interpretation of qualitative DWI but variable application and analysis of quantitative DWI and DCE-PWI with numerous barriers to implementation. Clinical relevance The survey results will aid discussion on how to standardise and optimally disseminate these MRI techniques in day-to-day practice. More focused education and resource allocation may be required to accelerate the adoption of quantitative DWI and DCE-PWI.

Original languageEnglish
Article number23
Pages (from-to)5110-5120
Number of pages11
JournalEuropean Radiology
Volume35
Issue number8
Early online date4 Feb 2025
DOIs
Publication statusPublished - 31 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Diffusion imaging
  • Magnetic resonance imaging
  • Neck
  • Perfusion imaging
  • Surveys and questionnaires

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