Reduction of interobserver variability (IOV) by FDG-PET–based tumor volume delineation (TVD) in radiotherapy planning for pancreatic cancer.
Reduction of interobserver variability (IOV) by FDG-PET–based tumor volume delineation (TVD) in radiotherapy planning for pancreatic cancer.
Background: wide IOV has been reported for CT-based TVD during radiotherapy planning for pancreatic cancer (Yamazaki, Anticancer Research 27: 2965-2972, 2007). PET-CT has been successfully incorporated into treatment planning in other tumour sites and has been shown to reduce IOV, but no study has looked at its role in pancreatic radiotherapy.
Methods: six radiation oncologists from 6 oncology centers in the UK were asked to outline GTVs in two cases with pancreatic head tumors. DICOM data set of planning CT, diagnostic CT and FDG-PET-CT scans were made available. GTV was first outlined using the information on the diagnostic CT scan alone, without access to PET scans (GTV_CT). The GTVs were then re-outlined using additional information from the PET scan (GTV_PET). A PTV was grown from the GTV, using a margin of 2cm sup-inf and 1.5cm radially from the GTV, as per standard UK practice.
Results: a total of 48 countours (24 GTV contours and 24 PTV contours) were analysed, and the results are presented below (Table).
Conclusions: the incorporation of PET scan resulted in a prominent reduction in standard deviation around tumor volumes, smaller largest:smallest GTV ratios and a larger percentage of overlap between investigator volumes, suggesting a reduction in Inter-Observer Variability. PET based RT planning should be considered in multicenter radiotherapy trials in pancreatic cancer to reduce IOV.
Branagan, Jennifer Mary Rose
ab533cce-c744-4e07-ab30-623238bc6485
Halle, Charlotte
02f4c653-dfc0-42d2-90e8-22605494e233
Falk, Stephen
6bda4f5d-d5b0-4558-89d3-9e32cacf202a
Hurt, Chris
bf8b37a0-8f08-4b47-b3f3-6fc65f7ab87f
February 2013
Branagan, Jennifer Mary Rose
ab533cce-c744-4e07-ab30-623238bc6485
Halle, Charlotte
02f4c653-dfc0-42d2-90e8-22605494e233
Falk, Stephen
6bda4f5d-d5b0-4558-89d3-9e32cacf202a
Hurt, Chris
bf8b37a0-8f08-4b47-b3f3-6fc65f7ab87f
Branagan, Jennifer Mary Rose, Halle, Charlotte and Falk, Stephen
,
et al.
(2013)
Reduction of interobserver variability (IOV) by FDG-PET–based tumor volume delineation (TVD) in radiotherapy planning for pancreatic cancer.
Journal of Clinical Oncology, 31 (4_suppl).
(doi:10.1200/jco.2013.31.4_suppl.229).
Abstract
Background: wide IOV has been reported for CT-based TVD during radiotherapy planning for pancreatic cancer (Yamazaki, Anticancer Research 27: 2965-2972, 2007). PET-CT has been successfully incorporated into treatment planning in other tumour sites and has been shown to reduce IOV, but no study has looked at its role in pancreatic radiotherapy.
Methods: six radiation oncologists from 6 oncology centers in the UK were asked to outline GTVs in two cases with pancreatic head tumors. DICOM data set of planning CT, diagnostic CT and FDG-PET-CT scans were made available. GTV was first outlined using the information on the diagnostic CT scan alone, without access to PET scans (GTV_CT). The GTVs were then re-outlined using additional information from the PET scan (GTV_PET). A PTV was grown from the GTV, using a margin of 2cm sup-inf and 1.5cm radially from the GTV, as per standard UK practice.
Results: a total of 48 countours (24 GTV contours and 24 PTV contours) were analysed, and the results are presented below (Table).
Conclusions: the incorporation of PET scan resulted in a prominent reduction in standard deviation around tumor volumes, smaller largest:smallest GTV ratios and a larger percentage of overlap between investigator volumes, suggesting a reduction in Inter-Observer Variability. PET based RT planning should be considered in multicenter radiotherapy trials in pancreatic cancer to reduce IOV.
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Published date: February 2013
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Local EPrints ID: 488115
URI: http://eprints.soton.ac.uk/id/eprint/488115
ISSN: 1527-7755
PURE UUID: b68786aa-8f5b-443b-8449-85340de87a36
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Date deposited: 15 Mar 2024 18:01
Last modified: 23 Mar 2024 03:13
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Author:
Jennifer Mary Rose Branagan
Author:
Charlotte Halle
Author:
Stephen Falk
Author:
Chris Hurt
Corporate Author: et al.
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