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Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment

Radiation therapy (RT) is a crucial treatment for head and neck squamous cell carcinoma (HNSCC), however it can have adverse effects on patients’ long-term function and quality of life. Biomarkers that can predict tumor response to RT are being explored to personalize treatment and improve outcomes....

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Autores principales: El-Habashy, Dina M, Wahid, Kareem A, Renjie, He, McDonald, Brigid, Mulder, Samuel J., Ding, Yao, Salzillo, Travis, Stephen, Lai, Christodouleas, John, Dresner, Alex, Wang, Jihong, Naser, Mohamed A, Fuller, Clifton D, Mohamed, Abdallah Sherif Radwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462225/
https://www.ncbi.nlm.nih.gov/pubmed/37645931
http://dx.doi.org/10.1101/2023.08.18.23294280
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author El-Habashy, Dina M
Wahid, Kareem A
Renjie, He
McDonald, Brigid
Mulder, Samuel J.
Ding, Yao
Salzillo, Travis
Stephen, Lai
Christodouleas, John
Dresner, Alex
Wang, Jihong
Naser, Mohamed A
Fuller, Clifton D
Mohamed, Abdallah Sherif Radwan
author_facet El-Habashy, Dina M
Wahid, Kareem A
Renjie, He
McDonald, Brigid
Mulder, Samuel J.
Ding, Yao
Salzillo, Travis
Stephen, Lai
Christodouleas, John
Dresner, Alex
Wang, Jihong
Naser, Mohamed A
Fuller, Clifton D
Mohamed, Abdallah Sherif Radwan
author_sort El-Habashy, Dina M
collection PubMed
description Radiation therapy (RT) is a crucial treatment for head and neck squamous cell carcinoma (HNSCC), however it can have adverse effects on patients’ long-term function and quality of life. Biomarkers that can predict tumor response to RT are being explored to personalize treatment and improve outcomes. While tissue and blood biomarkers have limitations, imaging biomarkers derived from magnetic resonance imaging (MRI) offer detailed information. The integration of MRI and a linear accelerator in the MR-Linac system allows for MR-guided radiation therapy (MRgRT), offering precise visualization and treatment delivery. This data descriptor offers a valuable repository for weekly intra-treatment diffusion-weighted imaging (DWI) data obtained from head and neck cancer patients. By analyzing the sequential DWI changes and their correlation with treatment response, as well as oncological and survival outcomes, the study provides valuable insights into the clinical implications of DWI in HNSCC. [Table: see text]
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spelling pubmed-104622252023-08-29 Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment El-Habashy, Dina M Wahid, Kareem A Renjie, He McDonald, Brigid Mulder, Samuel J. Ding, Yao Salzillo, Travis Stephen, Lai Christodouleas, John Dresner, Alex Wang, Jihong Naser, Mohamed A Fuller, Clifton D Mohamed, Abdallah Sherif Radwan medRxiv Article Radiation therapy (RT) is a crucial treatment for head and neck squamous cell carcinoma (HNSCC), however it can have adverse effects on patients’ long-term function and quality of life. Biomarkers that can predict tumor response to RT are being explored to personalize treatment and improve outcomes. While tissue and blood biomarkers have limitations, imaging biomarkers derived from magnetic resonance imaging (MRI) offer detailed information. The integration of MRI and a linear accelerator in the MR-Linac system allows for MR-guided radiation therapy (MRgRT), offering precise visualization and treatment delivery. This data descriptor offers a valuable repository for weekly intra-treatment diffusion-weighted imaging (DWI) data obtained from head and neck cancer patients. By analyzing the sequential DWI changes and their correlation with treatment response, as well as oncological and survival outcomes, the study provides valuable insights into the clinical implications of DWI in HNSCC. [Table: see text] Cold Spring Harbor Laboratory 2023-08-20 /pmc/articles/PMC10462225/ /pubmed/37645931 http://dx.doi.org/10.1101/2023.08.18.23294280 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
El-Habashy, Dina M
Wahid, Kareem A
Renjie, He
McDonald, Brigid
Mulder, Samuel J.
Ding, Yao
Salzillo, Travis
Stephen, Lai
Christodouleas, John
Dresner, Alex
Wang, Jihong
Naser, Mohamed A
Fuller, Clifton D
Mohamed, Abdallah Sherif Radwan
Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
title Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
title_full Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
title_fullStr Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
title_full_unstemmed Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
title_short Weekly Intra-Treatment Diffusion Weighted Imaging Dataset for Head and Neck Cancer Patients Undergoing MR-linac Treatment
title_sort weekly intra-treatment diffusion weighted imaging dataset for head and neck cancer patients undergoing mr-linac treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462225/
https://www.ncbi.nlm.nih.gov/pubmed/37645931
http://dx.doi.org/10.1101/2023.08.18.23294280
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