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

Background: During the last decade, radiotherapy using MR Linac has gone from research to clinical implementation for different cancer locations. For head and neck cancer (HNC), target delineation based only on MR images is not yet standard, and the utilisation of MRI instead of PET/CT in radiothera...

Full description

Bibliographic Details
Main 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
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Clinical and Translational Radiation Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405630822000672
_version_ 1811281306154172416
author 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
author_facet 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
author_sort Ruta Zukauskaite
collection DOAJ
description Background: During the last decade, radiotherapy using MR Linac has gone from research to clinical implementation for different cancer locations. For head and neck cancer (HNC), target delineation based only on MR images is not yet standard, and the utilisation of MRI instead of PET/CT in radiotherapy planning is not well established. We aimed to analyse the inter-observer variation (IOV) in delineating GTV (gross tumour volume) on MR images only for patients with HNC. Material/methods: 32 HNC patients from two independent departments were included. Four clinical oncologists from Denmark and four radiation oncologists from Australia had independently contoured primary tumour GTVs (GTV-T) and nodal GTVs (GTV-N) on T2-weighted MR images obtained at the time of treatment planning. Observers were provided with sets of images, delineation guidelines and patient synopsis. Simultaneous truth and performance level estimation (STAPLE) reference volumes were generated for each structure using all observer contours. The IOV was assessed using the DICE Similarity Coefficient (DSC) and mean absolute surface distance (MASD). Results: 32 GTV-Ts and 68 GTV-Ns were contoured per observer. The median MASD for GTV-Ts and GTV-Ns across all patients was 0.17 cm (range 0.08–0.39 cm) and 0.07 cm (range 0.04–0.33 cm), respectively. Median DSC relative to a STAPLE volume for GTV-Ts and GTV-Ns across all patients were 0.73 and 0.76, respectively. A significant correlation was seen between median DSCs and median volumes of GTV-Ts (Spearman correlation coefficient 0.76, p < 0.001) and of GTV-Ns (Spearman correlation coefficient 0.55, p < 0.001). Conclusion: Contouring GTVs in patients with HNC on MRI showed that the median IOV for GTV-T and GTV-N was below 2 mm, based on observes from two separate radiation departments. However, there are still specific regions in tumours that are difficult to resolve as either malignant tissue or oedema that potentially could be improved by further training in MR-only delineation.
first_indexed 2024-04-13T01:31:24Z
format Article
id doaj.art-c35a7e8bd1694803bc77a7d4282c070d
institution Directory Open Access Journal
issn 2405-6308
language English
last_indexed 2024-04-13T01:31:24Z
publishDate 2022-09-01
publisher Elsevier
record_format Article
series Clinical and Translational Radiation Oncology
spelling doaj.art-c35a7e8bd1694803bc77a7d4282c070d2022-12-22T03:08:30ZengElsevierClinical and Translational Radiation Oncology2405-63082022-09-0136121126Delineation uncertainties of tumour volumes on MRI of head and neck cancer patientsRuta Zukauskaite0Christopher N. Rumley1Christian R. Hansen2Michael G. Jameson3Yuvnik Trada4Jørgen Johansen5Niels Gyldenkerne6Jesper G. Eriksen7Farhannah Aly8Rasmus L. Christensen9Mark Lee10Carsten Brink11Lois Holloway12Department of Oncology, Odense University Hospital, Kloevervaenget 9, 5000 Odense, Denmark; Ingham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Corresponding author at: Department of Oncology, Odense University Hospital, Sdr. Boulevard 29, 5000 Odense C, Denmark.Ingham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; Department of Radiation Oncology, Townsville University Hospital, QLD AustraliaIngham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kloevervaenget 9, 5000 Odense, DenmarkIngham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; South Western Sydney Clinical Campuses, University of New South Wales, Sydney, Australia; GenesisCare, NSW, Australia; St Vincent's Clinical School, University of New South Wales, Sydney, AustraliaIngham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; South Western Sydney Clinical Campuses, University of New South Wales, Sydney, AustraliaDepartment of Oncology, Odense University Hospital, Kloevervaenget 9, 5000 Odense, DenmarkDepartment of Oncology, Odense University Hospital, Kloevervaenget 9, 5000 Odense, DenmarkDepartment of Experimental Clinical Oncology, Aarhus University Hospital, Noerrebrogade 44, Bldg. 5, DK-8000 Aarhus, DenmarkIngham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; South Western Sydney Clinical Campuses, University of New South Wales, Sydney, AustraliaDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kloevervaenget 9, 5000 Odense, DenmarkIngham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; South Western Sydney Clinical Campuses, University of New South Wales, Sydney, AustraliaDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark; Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, Kloevervaenget 9, 5000 Odense, DenmarkIngham Institute for Applied Medical Research, Liverpool &amp; Macarthur Cancer Therapy Centres, SWSLHD Area Cancer Services, Locked Bag 7103, Liverpool BC, NSW 1871, Australia; Department of Clinical Research, University of Southern Denmark, Odense, Denmark; South Western Sydney Clinical Campuses, University of New South Wales, Sydney, AustraliaBackground: During the last decade, radiotherapy using MR Linac has gone from research to clinical implementation for different cancer locations. For head and neck cancer (HNC), target delineation based only on MR images is not yet standard, and the utilisation of MRI instead of PET/CT in radiotherapy planning is not well established. We aimed to analyse the inter-observer variation (IOV) in delineating GTV (gross tumour volume) on MR images only for patients with HNC. Material/methods: 32 HNC patients from two independent departments were included. Four clinical oncologists from Denmark and four radiation oncologists from Australia had independently contoured primary tumour GTVs (GTV-T) and nodal GTVs (GTV-N) on T2-weighted MR images obtained at the time of treatment planning. Observers were provided with sets of images, delineation guidelines and patient synopsis. Simultaneous truth and performance level estimation (STAPLE) reference volumes were generated for each structure using all observer contours. The IOV was assessed using the DICE Similarity Coefficient (DSC) and mean absolute surface distance (MASD). Results: 32 GTV-Ts and 68 GTV-Ns were contoured per observer. The median MASD for GTV-Ts and GTV-Ns across all patients was 0.17 cm (range 0.08–0.39 cm) and 0.07 cm (range 0.04–0.33 cm), respectively. Median DSC relative to a STAPLE volume for GTV-Ts and GTV-Ns across all patients were 0.73 and 0.76, respectively. A significant correlation was seen between median DSCs and median volumes of GTV-Ts (Spearman correlation coefficient 0.76, p < 0.001) and of GTV-Ns (Spearman correlation coefficient 0.55, p < 0.001). Conclusion: Contouring GTVs in patients with HNC on MRI showed that the median IOV for GTV-T and GTV-N was below 2 mm, based on observes from two separate radiation departments. However, there are still specific regions in tumours that are difficult to resolve as either malignant tissue or oedema that potentially could be improved by further training in MR-only delineation.http://www.sciencedirect.com/science/article/pii/S2405630822000672Inter-observer variationTarget delineationHead and neck cancerMRI
spellingShingle 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
Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients
Clinical and Translational Radiation Oncology
Inter-observer variation
Target delineation
Head and neck cancer
MRI
title Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients
title_full Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients
title_fullStr Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients
title_full_unstemmed Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients
title_short Delineation uncertainties of tumour volumes on MRI of head and neck cancer patients
title_sort delineation uncertainties of tumour volumes on mri of head and neck cancer patients
topic Inter-observer variation
Target delineation
Head and neck cancer
MRI
url http://www.sciencedirect.com/science/article/pii/S2405630822000672
work_keys_str_mv AT rutazukauskaite delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT christophernrumley delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT christianrhansen delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT michaelgjameson delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT yuvniktrada delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT jørgenjohansen delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT nielsgyldenkerne delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT jespergeriksen delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT farhannahaly delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT rasmuslchristensen delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT marklee delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT carstenbrink delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients
AT loisholloway delineationuncertaintiesoftumourvolumesonmriofheadandneckcancerpatients