Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study
ObjectivesTo evaluate interval changes in heterogeneity on diffusion-weighted apparent diffusion coefficient (ADC) maps and T1-weighted post-gadolinium (T1w post gad) MRI in head and neck carcinoma (HNSCC), with and without chemo-radiotherapy (CRT) response.MethodsThis prospective observational coho...
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Frontiers Media S.A.
2022-02-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.784693/full |
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author | Amrita Guha Amrita Guha Amrita Guha Mustafa Anjari Gary Cook Gary Cook Vicky Goh Vicky Goh Steve Connor Steve Connor Steve Connor |
author_facet | Amrita Guha Amrita Guha Amrita Guha Mustafa Anjari Gary Cook Gary Cook Vicky Goh Vicky Goh Steve Connor Steve Connor Steve Connor |
author_sort | Amrita Guha |
collection | DOAJ |
description | ObjectivesTo evaluate interval changes in heterogeneity on diffusion-weighted apparent diffusion coefficient (ADC) maps and T1-weighted post-gadolinium (T1w post gad) MRI in head and neck carcinoma (HNSCC), with and without chemo-radiotherapy (CRT) response.MethodsThis prospective observational cohort study included 24 participants (20 men, age 62.9 ± 8.8 years) with stage III and IV HNSCC. The primary tumour (n = 23) and largest lymph node (n = 22) dimensions, histogram parameters and grey-level co-occurrence matrix (GLCM) parameters were measured on ADC maps and T1w post gad sequences, performed pretreatment and 6 and 12 weeks post CRT. The 2-year treatment response at primary and nodal sites was recorded. The Wilcoxon signed-rank test was used to compare interval changes in parameters after stratifying for treatment response and failure (p < 0.001 statistical significance).Results23/23 primary tumours and 18/22 nodes responded to CRT at 2 years. Responding HNSCC demonstrated a significant interval change in ADC histogram parameters (kurtosis, coefficient of variation, entropy, energy for primary tumour; kurtosis for nodes) and T1w post gad GLCM (entropy and contrast in the primary tumour and nodes) by 6 weeks post CRT (p < 0.001). Lymph nodes with treatment failure did not demonstrate an interval alteration in heterogeneity parameters.ConclusionsADC maps and T1w post gad MRI demonstrate the evolution of heterogeneity parameters in successfully treated HNSCC by 6 weeks post CRT; however, this is not observed in lymph nodes failing treatment.Advances in KnowledgeEarly reduction in heterogeneity is demonstrated on MRI when HNSCC responds to CRT. |
first_indexed | 2024-12-13T00:44:51Z |
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language | English |
last_indexed | 2024-12-13T00:44:51Z |
publishDate | 2022-02-01 |
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series | Frontiers in Oncology |
spelling | doaj.art-2de5f39236ea46ec874897bfd0c86fd82022-12-22T00:05:03ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-02-011210.3389/fonc.2022.784693784693Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility StudyAmrita Guha0Amrita Guha1Amrita Guha2Mustafa Anjari3Gary Cook4Gary Cook5Vicky Goh6Vicky Goh7Steve Connor8Steve Connor9Steve Connor10Department of Radio-Diagnosis, Tata Memorial Hospital, Mumbai, IndiaTraining School Complex, Homi Bhabha National Institute, Mumbai, IndiaSchool of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United KingdomDepartment of Radiology, Guy’s and St Thomas’ Hospital, London, United KingdomSchool of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United KingdomKing’s College London & Guy’s and St Thomas’ Positron Emission Tomography (PET) Centre, London, United KingdomSchool of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United KingdomDepartment of Radiology, Guy’s and St Thomas’ Hospital, London, United KingdomSchool of Biomedical Engineering & Imaging Sciences, Faculty of Life Sciences & Medicine, King’s College London, London, United KingdomDepartment of Radiology, Guy’s and St Thomas’ Hospital, London, United KingdomDepartment of Neuroradiology, King’s College Hospital, London, United KingdomObjectivesTo evaluate interval changes in heterogeneity on diffusion-weighted apparent diffusion coefficient (ADC) maps and T1-weighted post-gadolinium (T1w post gad) MRI in head and neck carcinoma (HNSCC), with and without chemo-radiotherapy (CRT) response.MethodsThis prospective observational cohort study included 24 participants (20 men, age 62.9 ± 8.8 years) with stage III and IV HNSCC. The primary tumour (n = 23) and largest lymph node (n = 22) dimensions, histogram parameters and grey-level co-occurrence matrix (GLCM) parameters were measured on ADC maps and T1w post gad sequences, performed pretreatment and 6 and 12 weeks post CRT. The 2-year treatment response at primary and nodal sites was recorded. The Wilcoxon signed-rank test was used to compare interval changes in parameters after stratifying for treatment response and failure (p < 0.001 statistical significance).Results23/23 primary tumours and 18/22 nodes responded to CRT at 2 years. Responding HNSCC demonstrated a significant interval change in ADC histogram parameters (kurtosis, coefficient of variation, entropy, energy for primary tumour; kurtosis for nodes) and T1w post gad GLCM (entropy and contrast in the primary tumour and nodes) by 6 weeks post CRT (p < 0.001). Lymph nodes with treatment failure did not demonstrate an interval alteration in heterogeneity parameters.ConclusionsADC maps and T1w post gad MRI demonstrate the evolution of heterogeneity parameters in successfully treated HNSCC by 6 weeks post CRT; however, this is not observed in lymph nodes failing treatment.Advances in KnowledgeEarly reduction in heterogeneity is demonstrated on MRI when HNSCC responds to CRT.https://www.frontiersin.org/articles/10.3389/fonc.2022.784693/fullradiomicsheterogeneityhead and neck cancerchemoradiotherapytexture analysismagnetic resonance imaging |
spellingShingle | Amrita Guha Amrita Guha Amrita Guha Mustafa Anjari Gary Cook Gary Cook Vicky Goh Vicky Goh Steve Connor Steve Connor Steve Connor Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study Frontiers in Oncology radiomics heterogeneity head and neck cancer chemoradiotherapy texture analysis magnetic resonance imaging |
title | Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study |
title_full | Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study |
title_fullStr | Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study |
title_full_unstemmed | Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study |
title_short | Radiomic Analysis of Tumour Heterogeneity Using MRI in Head and Neck Cancer Following Chemoradiotherapy: A Feasibility Study |
title_sort | radiomic analysis of tumour heterogeneity using mri in head and neck cancer following chemoradiotherapy a feasibility study |
topic | radiomics heterogeneity head and neck cancer chemoradiotherapy texture analysis magnetic resonance imaging |
url | https://www.frontiersin.org/articles/10.3389/fonc.2022.784693/full |
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