Literature DB >> 30816646

Evaluating diffusion-weighted magnetic resonance imaging for target volume delineation in head and neck radiotherapy.

Michael Cardoso1,2,3, Myo Min1,3,4,5,6,7, Michael Jameson1,3,4, Simon Tang1,4, Christopher Rumley1,8, Allan Fowler1, Vanessa Estall1, Elise Pogson1,2,4, Lois Holloway1,2,3,4,9, Dion Forstner1,3,4.   

Abstract

INTRODUCTION: Inter-observer variability (IOV) in target volume delineation is a source of error in head and neck radiotherapy. Diffusion-weighted imaging (DWI) has been shown to be useful in detecting recurrent head and neck cancer. This study aims to determine whether DWI improves target volume delineation and IOV.
METHODS: Four radiation oncologists delineated the gross tumour volume (GTV) for ten head and neck cancer patients. Delineation was performed on CT alone as well as fused image sets which incorporated fluorodeoxyglucose (FDG)-positron emission tomography (PET) and magnetic resonance imaging (MRI) in the form of CT/PET, CT/PET/T2W and CT/PET/T2W/DWI image sets. Analysis of the variability of contour volumes was completed by comparison to the simultaneous truth and performance level estimation (STAPLE) volumes. The DICE Similarity Coefficient (DSC) and other IOV metrics for each observer's contour were compared to the STAPLE for each patient and image dataset. A DWI usability scoresheet for delineation was completed.
RESULTS: The CT/PET/T2W/DWI mean GTV volume of 13.37 (10.35-16.39)cm3 was shown to be different to the mean GTV of 10.92 (8.32-13.51)cm3 when using CT alone (P < 0.001). The GTV DSC amongst observers for CT alone was 0.72 (0.65-0.79), CT/PET was 0.73 (0.67-0.80), CT/PET/T2W was 0.71 (0.64-0.77) and CT/PET/T2W/DWI was 0.69 (0.61-0.75).
CONCLUSION: Mean GTVs with the addition of DWI had slightly larger volumes compared to standard CT and CT/PET volumes. DWI may add supplemental visual information for GTV delineation while having a small impact on IOV, therefore potentially improving target volume delineation.
© 2019 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  diffusion-weighted magnetic resonance imaging; head and neck radiotherapy; inter-observer variability; radiotherapy; volume delineation

Mesh:

Substances:

Year:  2019        PMID: 30816646     DOI: 10.1111/1754-9485.12866

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  5 in total

Review 1.  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

2.  Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN.

Authors:  Jens P E Schouten; Samantha Noteboom; Roland M Martens; Steven W Mes; C René Leemans; Pim de Graaf; Martijn D Steenwijk
Journal:  Cancer Imaging       Date:  2022-01-15       Impact factor: 3.909

3.  Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients.

Authors:  Ruta Zukauskaite; Christopher N Rumley; Christian R Hansen; Michael G Jameson; Yuvnik Trada; Jørgen Johansen; Niels Gyldenkerne; Jesper G Eriksen; Farhannah Aly; Rasmus L Christensen; Mark Lee; Carsten Brink; Lois Holloway
Journal:  Clin Transl Radiat Oncol       Date:  2022-08-06

4.  Exploring the impact of metabolic imaging in head and neck cancer treatment.

Authors:  Diana Raquel Dias Domingues; Michelle M Leech
Journal:  Head Neck       Date:  2022-07-01       Impact factor: 3.821

5.  Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography.

Authors:  Vanessa De Araujo Faria; Mehran Azimbagirad; Gustavo Viani Arruda; Juliana Fernandes Pavoni; Joaquim Cezar Felipe; Elza Maria Carneiro Mendes Ferreira Dos Santos; Luiz Otavio Murta Junior
Journal:  J Digit Imaging       Date:  2021-07-12       Impact factor: 4.903

  5 in total

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