ArticleInternational journal of radiation oncology, biology, physics2018
Adaptive Boost Target Definition in High-Risk Head and Neck Cancer Based on Multi-imaging Risk Biomarkers.
Article in International journal of radiation oncology, biology, physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Randomized Phase II Study of Physiologic MRI-Directed Adaptive Radiation Boost in Poor Prognosis Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Trial
- Early HPV ctDNA Kinetics and Imaging Biomarkers Predict Therapeutic Response in p16+ Oropharyngeal Squamous Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Trial
- Real-Time Quantitative Assessment of Accuracy and Precision of Blood Volume Derived from DCE-MRI in Individual Patients During a Clinical Trial.Tomography (Ann Arbor, Mich.) · 2019Trial
- Interpretable survival network for progression risk analysis of multimodality imaging biomarkers in poor-prognosis head and neck cancers.Scientific reports · 2024Article
- 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.European radiology · 2023Article
- Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models.European journal of nuclear medicine and molecular imaging · 2023Article
- Diffusion MRI correlation with p16 status and prediction for tumor progression in locally advanced head and neck cancer.Frontiers in oncology · 2023Article
- Clinical indications and acquisition protocol for the use of dynamic contrast-enhanced MRI in head and neck cancer squamous cell carcinoma: recommendations from an expert panel.Insights into imaging · 2022Article
- Prediction of the effects of radiation therapy in esophageal cancer using diffusion and perfusion MRI.Cancer science · 2021Article
- Article
- Predictive Values of MRI and PET Derived Quantitative Parameters for Patterns of Failure in Both p16+ and p16- High Risk Head and Neck Cancer.Frontiers in oncology · 2019Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
purposePositron emission tomography with METHODS AND MATERIALS: Forty patients with HNC enrolled in a clinical trial underwent FDG positron emission tomography-computed tomography before CRT and underwent dynamic contrast-enhanced and diffusion-weighted MRI scans before and during CRT. The gross tumor volume (GTV) of the primary tumor was contoured on post-gadolinium T1-weighted images. Tumor subvolumes with high FDG uptake, low blood volume (BV), and low ADC were created by using previously established thresholds. Spatial correspondences between subvolumes were analyzed using the Dice coefficient, and those between each pair of image parameters at voxel level were analyzed by Spearman rank correlation coefficients.
resultsPrior to CRT, the median subvolumes of high FDG, low BV, and low ADC relative to the primary GTV were 20%, 21%, and 45%, respectively. Spearman correlation coefficients between BV and ADC varied from -0.47 to 0.22; between BV and FDG, from -0.08 to 0.59; and between ADC and FDG, from -0.68 to 0.25. Dice coefficients between subvolumes of FDG and BV, FDG and ADC, and BV and ADC were 10%, 46%, and 15%, respectively. The union of the 3 parameters was 64% of the GTV. The union of the subvolumes of BV and ADC was 56% of the GTV before CRT but was reduced significantly by 57% after 10 fractions of radiation therapy.
conclusionsHigh FDG uptake, low BV, and low ADC as imaging risk biomarkers of HNC identify largely distinct tumor characteristics. A single imaging modality may not define the boosting target adequately.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.