Literature DB >> 28259450

Modality-specific target definition for laryngeal and hypopharyngeal cancer on FDG-PET, CT and MRI.

Hans Ligtenberg1, Elise Anne Jager2, Joana Caldas-Magalhaes2, Tim Schakel2, Frank A Pameijer3, Nicolien Kasperts2, Stefan M Willems4, Chris H J Terhaard2, Cornelis P J Raaijmakers2, Marielle E P Philippens2.   

Abstract

BACKGROUND AND
PURPOSE: The goal of this study was to improve target definition by deriving modality-specific margins for clinical target volumes (CTV) for laryngeal and hypopharyngeal cancer on CT, MRI and 18-FDG-PET.
MATERIAL AND METHODS: Twenty-five patients with T3/T4 laryngeal/hypopharyngeal cancer underwent CT, MRI and 18-FDG-PET scans before laryngectomy. HE-sections were obtained from the surgical specimen and tumor was delineated (tumorHE). The GTVs on CT and MRI were delineated in consensus. PET-based GTVs were automatically segmented. The three-dimensionally reconstructed specimen was registered to the various images. Modality-specific CTV margins were derived and added to the GTVs to achieve adequate tumor coverage. The resulting CTVs were compared with each other, to tumorHE, and to CTVCT10 constructed on CT with the clinical margin of 10mm.
RESULTS: CTV margins of 4.3mm (CT), 6.1mm (MRI) and 5.2mm (PET) were needed to achieve adequate tumor coverage. The median volumes of the resulting modality-specific CTVs were 44ml (CT), 48ml (MRI) and 39ml (PET), while the CTV10mm was 80ml.
CONCLUSION: For laryngohypopharyngeal tumors, 45-52% target volume reduction compared with CTV10mm is achievable when modality-specific CTV margins are used. PET-based CTVs were significantly smaller compared to CT- and MRI-based CTVs.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CTV; GTV; Head and neck cancer; Imaging; Pathology

Mesh:

Substances:

Year:  2017        PMID: 28259450     DOI: 10.1016/j.radonc.2017.02.005

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


  14 in total

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Review 3.  Target Definition in MR-Guided Adaptive Radiotherapy for Head and Neck Cancer.

Authors:  Mischa de Ridder; Cornelis P J Raaijmakers; Frank A Pameijer; Remco de Bree; Floris C J Reinders; Patricia A H Doornaert; Chris H J Terhaard; Marielle E P Philippens
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5.  Target Volume Delineation Using Diffusion-weighted Imaging for MR-guided Radiotherapy: A Case Series of Laryngeal Cancer Validated by Pathology.

Authors:  Hans Ligtenberg; Tim Schakel; Jan Willem Dankbaar; Lilian N Ruiter; Boris Peltenburg; Stefan M Willems; Nicolien Kasperts; Chris H J Terhaard; Cornelis P J Raaijmakers; Marielle E P Philippens
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6.  Verification of HE-based CTV in laryngeal and hypopharyngeal cancer using pan-cytokeratin.

Authors:  Hans Ligtenberg; Stefan M Willems; Lilian N Ruiter; Elise Anne Jager; Chris H J Terhaard; Cornelis P J Raaijmakers; Marielle E P Philippens
Journal:  Clin Transl Radiat Oncol       Date:  2018-07-11

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Authors:  Tim Schakel; Boris Peltenburg; Jan-Willem Dankbaar; Carlos E Cardenas; Michalis Aristophanous; Chris H J Terhaard; Johannes M Hoogduin; Marielle E P Philippens
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8.  MR-Guided Radiotherapy for Head and Neck Cancer: Current Developments, Perspectives, and Challenges.

Authors:  Simon Boeke; David Mönnich; Janita E van Timmeren; Panagiotis Balermpas
Journal:  Front Oncol       Date:  2021-03-19       Impact factor: 6.244

9.  Usefulness of Hybrid PET/MRI in Clinical Evaluation of Head and Neck Cancer Patients.

Authors:  Natalia Samolyk-Kogaczewska; Ewa Sierko; Dorota Dziemianczyk-Pakiela; Klaudia Beata Nowaszewska; Malgorzata Lukasik; Joanna Reszec
Journal:  Cancers (Basel)       Date:  2020-02-22       Impact factor: 6.639

10.  Impact of Magnetic Field on Dose Distribution in MR-Guided Radiotherapy of Head and Neck Cancer.

Authors:  Wenlong Xia; Ke Zhang; Minghui Li; Yuan Tian; Kuo Men; Jingbo Wang; Junlin Yi; Yexiong Li; Jianrong Dai
Journal:  Front Oncol       Date:  2020-09-08       Impact factor: 6.244

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