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Impact of Magnetic Resonance Imaging on Gross Tumor Volume Delineation in Non-spine Bony Metastasis Treated With Stereotactic Body Radiation Therapy.

Authors :
Raman S
Chin L
Erler D
Atenafu EG
Cheung P
Chu W
Chung H
Loblaw A
Poon I
Rubenstein J
Soliman H
Sahgal A
Tseng CL
Source :
International journal of radiation oncology, biology, physics [Int J Radiat Oncol Biol Phys] 2018 Nov 15; Vol. 102 (4), pp. 735-743.e1. Date of Electronic Publication: 2018 Mar 17.
Publication Year :
2018

Abstract

Purpose: This study investigates the inter-observer variability of contouring non-spine bone metastases using the planning CT alone vs. the addition of MRI T1 and T2 imaging sequences.<br />Methods and Materials: 10 cases of non-spine bone metastases treated with SBRT at our institution were selected. The gross tumor volume (GTV) for each case was delineated by six SBRT radiation oncologists (RO) and one diagnostic radiologist (DR) on the treatment planning CT. After a minimum of three months, each case was re-contoured on the CT fused with a MRI T1 sequence followed by a MRI T2 sequence. STAPLE consensus contours were created from the RO volumes and inter-observer variability was measured using both κ agreement and the Dice coefficient (DSC).<br />Results: In total, 180 RO contours were analyzed within three datasets (CT, CT + MRI T1 and CT + MRI T1 + MRI T2). The mean GTV was 16.95 cm <superscript>3</superscript> (range, 0.12-269.6 cm <superscript>3</superscript> ). The RO κ agreement was 0.6129 based on CT alone, and significantly increased to 0.7045 in the CT + MRI T1 (P = .042) dataset and 0.7017 in the CT + MRI T1 + MRI T2 dataset (P = .048). The mean DSC in the CT alone dataset was 0.7047, and significantly increased to 0.7628 in the CT + MRI T1 dataset (P < .001) and 0.7544 in the CT + MRI T1 + MRI T2 dataset (P = .001). There were no statistical differences in RO κ agreement (P = .948) or mean DSC (P = .573) when comparing the CT + MRI T1 and CT + MRI T1 + MRI T2 datasets. The DSC agreement between DR and RO volumes was lowest (0.6887) in the CT alone dataset and significantly increased to 0.7398 in the CT + MRI T1 dataset (P = .003) and 0.7342 in the CT + MRI T1 + MRI T2 dataset (P = .008).<br />Conclusions: The fusion of MRI T1 images to CT significantly reduced inter-observer variability amongst RO's in delineating non-spine bone metastases, and improved agreement between GTVs delineated by the RO to the DR.<br /> (Copyright © 2018 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1879-355X
Volume :
102
Issue :
4
Database :
MEDLINE
Journal :
International journal of radiation oncology, biology, physics
Publication Type :
Academic Journal
Accession number :
29748100
Full Text :
https://doi.org/10.1016/j.ijrobp.2018.03.010