<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>33(12)</volume><submitter>Trada Y</submitter><funding>University of Sydney</funding><pubmed_abstract>&lt;h4>Objectives&lt;/h4>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.&lt;h4>Methods&lt;/h4>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 ADC&lt;sub>mean&lt;/sub> from DWI and FDG-PET parameters SUV&lt;sub>max&lt;/sub>, SUV&lt;sub>mean&lt;/sub>, 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.&lt;h4>Results&lt;/h4>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 ADC&lt;sub>mean&lt;/sub> (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 ∆ADC&lt;sub>mean&lt;/sub> 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.&lt;h4>Conclusions&lt;/h4>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.&lt;h4>Clinical relevance statement&lt;/h4>Our study shows the complementary information provided by two functional imaging modalities for mid-treatment response prediction in patients with head and neck cancer.&lt;h4>Key points&lt;/h4>•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.</pubmed_abstract><journal>European radiology</journal><pagination>8788-8799</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10667402</full_dataset_link><repository>biostudies-literature</repository><pubmed_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.</pubmed_title><pmcid>PMC10667402</pmcid><pubmed_authors>Trada Y</pubmed_authors><pubmed_authors>Keall P</pubmed_authors><pubmed_authors>Lin P</pubmed_authors><pubmed_authors>Min M</pubmed_authors><pubmed_authors>Jameson M</pubmed_authors><pubmed_authors>Fowler A</pubmed_authors><pubmed_authors>Lee MT</pubmed_authors><pubmed_authors>Forstner D</pubmed_authors><pubmed_authors>Holloway L</pubmed_authors><pubmed_authors>Moses D</pubmed_authors><pubmed_authors>Chlap P</pubmed_authors></additional><is_claimable>false</is_claimable><name>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.</name><description>&lt;h4>Objectives&lt;/h4>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.&lt;h4>Methods&lt;/h4>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 ADC&lt;sub>mean&lt;/sub> from DWI and FDG-PET parameters SUV&lt;sub>max&lt;/sub>, SUV&lt;sub>mean&lt;/sub>, 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.&lt;h4>Results&lt;/h4>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 ADC&lt;sub>mean&lt;/sub> (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 ∆ADC&lt;sub>mean&lt;/sub> 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.&lt;h4>Conclusions&lt;/h4>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.&lt;h4>Clinical relevance statement&lt;/h4>Our study shows the complementary information provided by two functional imaging modalities for mid-treatment response prediction in patients with head and neck cancer.&lt;h4>Key points&lt;/h4>•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.</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2025-04-04T14:29:39.596Z</modification><creation>2025-04-04T14:29:39.596Z</creation></dates><accession>S-EPMC10667402</accession><cross_references><pubmed>37405500</pubmed><doi>10.1007/s00330-023-09843-2</doi></cross_references></HashMap>