Inter-observer variability in MR-based target volume delineation of uveal melanoma
Lisa Klaassen,
The Netherlands
MO-0211
Abstract
Inter-observer variability in MR-based target volume delineation of uveal melanoma
Authors: Lisa Klaassen1,2,3, Myriam Jaarsma-Coes2,1, Berit Verbist2, Khanh Vu1, Yvonne Klaver4,3, Myra Rodrigues4,3, Teresa Ferreira2, Clair Nabarro2, Gregorius Luyten1, Coen Rasch4,3, Marcel van Herk5, Jan-Willem Beenakker1,2,3
1Leiden University Medical Center, Ophthalmology, Leiden, The Netherlands; 2Leiden University Medical Center, Radiology, Leiden, The Netherlands; 3Leiden University Medical Center, Radiation Oncology, Leiden, The Netherlands; 4HollandPTC, Radiation Oncology, Delft, The Netherlands; 5University of Manchester, Division of Cancer Sciences, Manchester, United Kingdom
Show Affiliations
Hide Affiliations
Purpose or Objective
Ocular MRI has become a valuable tool in the
diagnosis and therapy selection of uveal melanoma (UM) patients as it provides
excellent soft tissue contrast and a 3D representation of the tumour and organs
at risk. Currently, gross target volume (GTV) definition in proton therapy
planning for uveal melanoma is based on a generic model of the eye and tumour,
constructed using marker positions and 2D imaging. Several efforts are being
undertaken to enable a 3D treatment planning for ocular PBT that includes a MRI
based GTV. Before introducing 3D MR-based tumour models into the clinical
workflow, it is important to know the inter-observer variability of the gross
target volume (GTV) delineation on MRI for reliable treatment planning.
Therefore, the aim of this study was to assess the inter-observer variation in
GTV delineation of UM on MRI.
Material and Methods
Six observers (two radiation oncologists, two
radiologists and two ophthalmologists) delineated the GTV in ten different
patients. Patients were scanned on a 3T MR scanner with a 4.7cm surface coil
according to a previously described protocol (Ferreira 2019) and tumours were
delineated on 3D T1gd and 3D T2-weighted scans (acquistion voxel size (0.8mm)3,
resolution after reconstruction with zero filling 0.4x0.4x0.4 mm3 (T1gd)
and 0.4x0.4x0.3 mm3 (T2)). For delineation, Big Brother training
contouring software (Steenbakkers 2005) was used.
A median surface was formed based on the
delineated GTVs of all observers. The interobserver variation was expressed as
the median of the local standard deviation from the median surface. On each
median surface, points adjacent to the sclera, vitreous, retinal detachment, or
sclera and vitreous (edge) were labelled(Fig 1C).
Results
The average delineated tumour volume was
significantly higher when delineated on T1gd (0.57 cm3) compared to
the delineations on T2 (0.51 cm3, p = 0.01). The average
interobserver variation appeared slightly higher on T1gd (0.41 mm) compared to
T2 (0.35 mm), although the difference was not significant (p=0.12).
Analysing the separate regions, significant
higher variations were found at the edge of the tumour compared to sclera and
vitreous. Based on the individual
delineations, the source of these higher local SDs at the edge was identified
as variance in whether choroidal enhancement was included in the GTV or not. We
also found that the contrast between retinal detachment and tumour on T2 was
low in some patients, which underscores the importance of side-by-side
evaluation of all available sequences.
Conclusion
The interobserver variation on T1gd (0.41 mm) and T2 (0.35 mm) are low
with respect to the voxel size. Higher inter-observer variations were found at
the edge of the tumour. However, these might be resolved with clear guidelines
and after histopathological validation of the underlying reason for choroidal
enhancement at the tumour edge. We recommend to delineate based on the
T1gd-weighted scans, as parts of the tumour might be underestimated on T2.