Inter-observer agreement of baseline whole body MRI in multiple myeloma.
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Embargo End Date
Authors
Croft, J
Riddell, A
Koh, D-M
Downey, K
Blackledge, M
Usher, M
Boyd, K
Kaiser, M
Messiou, C
Riddell, A
Koh, D-M
Downey, K
Blackledge, M
Usher, M
Boyd, K
Kaiser, M
Messiou, C
Document Type
Journal Article
Date
2020-07-14
Date Accepted
2020-07-08
Abstract
BACKGROUND: Whole body magnetic resonance imaging (MRI) is now incorporated into international guidance for imaging patients with multiple myeloma. The aim of this study was to investigate inter-observer agreement of triple reported baseline whole-body MRI in myeloma and highlight potential pitfalls. METHODS: Fifty-seven patients with symptomatic myeloma at first presentation or relapse and planned for autologous stem cell transplant were included. All patients completed baseline whole body MRI within 2 weeks prior to starting treatment. Each scan was reported independently by 3 radiologists using a defined scoring system. Differences in observer scores were compared using analysis of variance (ANOVA) and inter-observer agreement assessed using intra class correlation coefficient (ICC). RESULTS: There was no significant difference in mean observer scores for whole skeleton and ICC demonstrated excellent inter-observer agreement at 0.91. ICC varied between skeletal regions with spine, pelvis and ribs showing good inter-observer agreement, whereas skull and long bones were moderate. Scans with variation in observer scores were re-examined and cause of discrepancies identified. This information was used to describe potential anatomical pitfalls in reporting . CONCLUSION: Whole-body MRI has excellent inter-observer agreement in reporting symptomatic myeloma at baseline. Inter-observer agreement varied between skeletal regions highlighting specific areas of difficulty.
Citation
Cancer imaging : the official publication of the International Cancer Imaging Society, 2020, 20 (1), pp. 48 - ?
Source Title
Publisher
BMC
ISSN
1740-5025
eISSN
1470-7330
Collections
Research Team
Myeloma Group
Computational Imaging
Computational Imaging