Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer

Yuvnik Trada; Paul Keall; Michael Jameson; Daniel Moses; Peter Lin; Phillip Chlap; Lois Holloway; Myo Min; Dion Forstner; Allan Fowler; Mark T Lee

doi:10.1007/s00330-023-09843-2

Back

Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer

Journal article

Open access

Peer reviewed

Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer

Yuvnik Trada, Paul Keall, Michael Jameson, Daniel Moses, Peter Lin, Phillip Chlap, Lois Holloway, Myo Min, Dion Forstner, Allan Fowler, …

European Radiology, Vol.33, pp.8788-8799

2023

DOI: https://doi.org/10.1007/s00330-023-09843-2

PMID: 37405500

Files and links (2)

pdf

Changes in serial multiparametric MRI and FDG-PET CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer1.24 MBDownload View

Published VersionCC BY V4.0, Open Access

url

https://doi.org/10.1007/s00330-023-09843-2View

Published Version

Abstract

Biomarker

Fluorodeoxyglucose F18

Head and neck neoplasms

Magnetic resonance imaging

Radiotherapy

Objectives: To test if tumour changes measured using combination of diffusion-weighted imaging (DWI) MRI and FDG-PET/CT performed serially during radiotherapy (RT) in mucosal head and neck carcinoma can predict treatment response. Methods: Fifty-five patients from two prospective imaging biomarker studies were analysed. FDG-PET/CT was performed at baseline, during RT (week 3), and post RT (3 months). DWI was performed at baseline, during RT (weeks 2, 3, 5, 6), and post RT (1 and 3 months). The ADCmean from DWI and FDG-PET parameters SUVmax, SUVmean, metabolic tumour volume (MTV), and total lesion glycolysis (TLG) were measured. Absolute and relative change (%∆) in DWI and PET parameters were correlated to 1-year local recurrence. Patients were categorised into favourable, mixed, and unfavourable imaging response using optimal cut-off (OC) values of DWI and FDG-PET parameters and correlated to local control. Results: The 1-year local, regional, and distant recurrence rates were 18.2% (10/55), 7.3% (4/55), and 12.7% (7/55), respectively. ∆Week 3 ADCmean (AUC 0.825, p = 0.003; OC ∆ > 24.4%) and ∆MTV (AUC 0.833, p = 0.001; OC ∆ > 50.4%) were the best predictors of local recurrence. Week 3 was the optimal time point for assessing DWI imaging response. Using a combination of ∆ADCmean and ∆MTV improved the strength of correlation to local recurrence (p ≤ 0.001). In patients who underwent both week 3 MRI and FDG-PET/CT, significant differences in local recurrence rates were seen between patients with favourable (0%), mixed (17%), and unfavourable (78%) combined imaging response. Conclusions: Changes in mid-treatment DWI and FDG-PET/CT imaging can predict treatment response and could be utilised in the design of future adaptive clinical trials. Clinical relevance statement: Our study shows the complementary information provided by two functional imaging modalities for mid-treatment response prediction in patients with head and neck cancer. Key points: •FDG-PET/CT and DWI MRI changes in tumour during radiotherapy in head and neck cancer can predict treatment response. •Combination of FDG-PET/CT and DWI parameters improved correlation to clinical outcome. •Week 3 was the optimal time point for DWI MRI imaging response assessment.

Details

Title: Changes in serial multiparametric MRI and FDG-PET/CT functional imaging during radiation therapy can predict treatment response in patients with head and neck cancer
Authors: Yuvnik Trada (Corresponding Author) - The University of Sydney
Paul Keall (Author) - The University of Sydney
Michael Jameson (Author) - The University of Sydney
Daniel Moses (Author) - Prince of Wales Hospital
Peter Lin (Author) - Western Sydney University
Phillip Chlap (Author) - UNSW Sydney
Lois Holloway (Author) - UNSW Sydney
Myo Min (Author) - University of the Sunshine Coast, Queensland, Thompson Institute
Dion Forstner (Author) - The University of Sydney
Allan Fowler (Author) - Liverpool Hospital
Mark T Lee (Author) - UNSW Sydney
Publication details: European Radiology, Vol.33, pp.8788-8799
Publisher: Springer
Date published: 2023
DOI: 10.1007/s00330-023-09843-2
ISSN: 1432-1084; 0938-7994
PMID: 37405500
Copyright note: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Organisation Unit: University of the Sunshine Coast, Queensland; Thompson Institute
Language: English
Record Identifier: 99741798202621
Output Type: Journal article

Metrics

51 File views/ downloads

20 Record Views

8 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Web Of Science research areas: Radiology, Nuclear Medicine & Medical Imaging

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites