Literature DB >> 23395065

FDG-PET and diffusion-weighted MRI in head-and-neck cancer patients: implications for dose painting.

Antonetta C Houweling1, Anne Lisa Wolf, Wouter V Vogel, Olga Hamming-Vrieze, Corine van Vliet-Vroegindeweij, Jeroen B van de Kamer, Uulke A van der Heide.   

Abstract

PURPOSE: The purpose of this study was to investigate if FDG-PET and DWI identify the same or different targets for dose escalation in the GTV of HN cancer patients. Additionally, the dose coverage of DWI-targets in an FDG-PET-based dose painting plan was analyzed.
MATERIALS AND METHODS: Eighteen HN cancer patients underwent FDG-PET and DWI exams, which were converted to standardized uptake value (SUV)- and apparent diffusion coefficient (ADC)-maps. The correspondence between the two imaging modalities was determined on a voxel-level using Spearman's correlation coefficient (ρ). Dose painting plans were optimized based on the 50% isocontour of the maximum SUV ( SUV(50%max)). Dose coverage was analyzed in three different SUV- and three different ADC-targets using the mean dose and the near-minimum and near-maximum doses.
RESULTS: The average maximum SUV was 13.9 and the mean ADC was 1.17 · 10(-3) mm(2)/s. The average ρ between SUV and ADC was -0.2 (range: -0.6 to 0.4). The ADC-targets were only partly overlapping the SUV(50%max)-target and the dose parameters were significantly smaller in the ADC-targets compared to the SUV(50%max)-target.
CONCLUSIONS: FDG-PET and DWI contain different information, resulting in different targets. Further information about failure patterns and dose relations can be obtained by adding DWI to currently ongoing dose painting trials.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23395065     DOI: 10.1016/j.radonc.2013.01.003

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  17 in total

1.  Patterns-of-failure guided biological target volume definition for head and neck cancer patients: FDG-PET and dosimetric analysis of dose escalation candidate subregions.

Authors:  Abdallah S R Mohamed; Carlos E Cardenas; Adam S Garden; Musaddiq J Awan; Crosby D Rock; Sarah A Westergaard; G Brandon Gunn; Abdelaziz M Belal; Ahmed G El-Gowily; Stephen Y Lai; David I Rosenthal; Clifton D Fuller; Michalis Aristophanous
Journal:  Radiother Oncol       Date:  2017-07-31       Impact factor: 6.280

2.  Adaptive Boost Target Definition in High-Risk Head and Neck Cancer Based on Multi-imaging Risk Biomarkers.

Authors:  Feifei Teng; Madhava Aryal; Jae Lee; Choonik Lee; Xioajin Shen; Peter G Hawkins; Michelle Mierzwa; Avraham Eisbruch; Yue Cao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-12-21       Impact factor: 7.038

3.  Voxel-wise correlation of functional imaging parameters in HNSCC patients receiving PET/MRI in an irradiation setup.

Authors:  Kerstin Zwirner; Daniela Thorwarth; René M Winter; Stefan Welz; Jakob Weiss; Nina F Schwenzer; Holger Schmidt; Christian la Fougère; Konstantin Nikolaou; Daniel Zips; Sergios Gatidis
Journal:  Strahlenther Onkol       Date:  2018-03-21       Impact factor: 3.621

4.  Prospective observer and software-based assessment of magnetic resonance imaging quality in head and neck cancer: Should standard positioning and immobilization be required for radiation therapy applications?

Authors:  Yao Ding; Abdallah S R Mohamed; Jinzhong Yang; Rivka R Colen; Steven J Frank; Jihong Wang; Eslam Y Wassal; Wenjie Wang; Michael E Kantor; Peter A Balter; David I Rosenthal; Stephen Y Lai; John D Hazle; Clifton D Fuller
Journal:  Pract Radiat Oncol       Date:  2014-12-17

5.  Radiomics analysis of [18F]-fluoro-2-deoxyglucose positron emission tomography for the prediction of cervical lymph node metastasis in tongue squamous cell carcinoma.

Authors:  Takaharu Kudoh; Akihiro Haga; Keiko Kudoh; Akira Takahashi; Motoharu Sasaki; Yasusei Kudo; Hitoshi Ikushima; Youji Miyamoto
Journal:  Oral Radiol       Date:  2022-03-07       Impact factor: 1.852

Review 6.  Image-guided interventional therapy for cancer with radiotherapeutic nanoparticles.

Authors:  William T Phillips; Ande Bao; Andrew J Brenner; Beth A Goins
Journal:  Adv Drug Deliv Rev       Date:  2014-07-09       Impact factor: 15.470

Review 7.  Imaging for Target Delineation and Treatment Planning in Radiation Oncology: Current and Emerging Techniques.

Authors:  Sonja Stieb; Brigid McDonald; Mary Gronberg; Grete May Engeseth; Renjie He; Clifton David Fuller
Journal:  Hematol Oncol Clin North Am       Date:  2019-09-17       Impact factor: 3.722

8.  Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma Using 11C-Choline and 18F-FDG PET/CT.

Authors:  Jun Jiang; Hubing Wu; Meiyan Huang; Yao Wu; Quanshi Wang; Jianqi Zhao; Wei Yang; Wufan Chen; Qianjin Feng
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

9.  Analysis of pairwise correlations in multi-parametric PET/MR data for biological tumor characterization and treatment individualization strategies.

Authors:  Sara Leibfarth; Urban Simoncic; David Mönnich; Stefan Welz; Holger Schmidt; Nina Schwenzer; Daniel Zips; Daniela Thorwarth
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-02-13       Impact factor: 9.236

10.  Targeting Treatment Resistance in Head and Neck Squamous Cell Carcinoma - Proof of Concept for CT Radiomics-Based Identification of Resistant Sub-Volumes.

Authors:  Marta Bogowicz; Matea Pavic; Oliver Riesterer; Tobias Finazzi; Helena Garcia Schüler; Edna Holz-Sapra; Leonie Rudofsky; Lucas Basler; Manon Spaniol; Andreas Ambrusch; Martin Hüllner; Matthias Guckenberger; Stephanie Tanadini-Lang
Journal:  Front Oncol       Date:  2021-05-27       Impact factor: 6.244

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