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Whole-body MRI quantitative biomarkers predict response in patients with newly diagnosed symptomatic multiple myeloma following Bortezomib induction

Latifoltojar, A, Hall-Craggs, M, Bainbridge, A, Yong, K, Dikaios, Nikolaos, Sokolska, M, Rabin, N, Antonelli, M, Ourselin, S, Popat, R, Rismani, A, D’Sa, S, Taylor, S, Halligan, S and Punwani, S (2017) Whole-body MRI quantitative biomarkers predict response in patients with newly diagnosed symptomatic multiple myeloma following Bortezomib induction European Radiology.

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Abstract

Purpose: To evaluate whole-body MRI (WB-MRI) parameters for treatment response prediction in multiple myeloma (MM). Materials and Methods: Twenty-one MM patients underwent WB-MRI at diagnosis and after 2 cycles of chemotherapy. Scans acquired at 3.0T included T2, diffusionweighted- imaging (DWI) and mDixon pre- and post-contrast. Twenty focal lesions (FLs) matched on DWI and enhanced mDixon were selected for each time point. Estimated tumour volume (eTV), apparentdiffusion- coefficient (ADC), enhancement-ratio (ER) and signal fat fraction (sFF) were derived. Clinical treatment response to chemotherapy was assessed using conventional criteria. Significance of temporal parameter change was assessed by the paired t-test and receiver operating characteristics/area under the curve (AUC) analysis was performed. Parameter repeatability was assessed by interclass correlation (ICC) and Bland-Altman analysis of 10 healthy volunteers scanned at two time-points. Results: 15/21 patients responded to treatment. Of 254 FLs analysed, sFF (p<0.0001) and ADC (p=0.001) significantly increased in responders but not non-responders. eTV significantly decreased in 20/21 cases. Focal lesion sFF was the best predictor of treatment response (AUC 1.0). Bone sFF repeatability was excellent (ICC 0.98 ) and better than bone ADC (ICC 0.47). Conclusion: WB-MRI derived focal lesion sFF shows promise as an imaging biomarker of treatment response in newly diagnosed MM.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Latifoltojar, AUNSPECIFIEDUNSPECIFIED
Hall-Craggs, MUNSPECIFIEDUNSPECIFIED
Bainbridge, AUNSPECIFIEDUNSPECIFIED
Yong, KUNSPECIFIEDUNSPECIFIED
Dikaios, Nikolaosn.dikaios@surrey.ac.ukUNSPECIFIED
Sokolska, MUNSPECIFIEDUNSPECIFIED
Rabin, NUNSPECIFIEDUNSPECIFIED
Antonelli, MUNSPECIFIEDUNSPECIFIED
Ourselin, SUNSPECIFIEDUNSPECIFIED
Popat, RUNSPECIFIEDUNSPECIFIED
Rismani, AUNSPECIFIEDUNSPECIFIED
D’Sa, SUNSPECIFIEDUNSPECIFIED
Taylor, SUNSPECIFIEDUNSPECIFIED
Halligan, SUNSPECIFIEDUNSPECIFIED
Punwani, SUNSPECIFIEDUNSPECIFIED
Date : 23 August 2017
Copyright Disclaimer : The final publication is available at Springer via https://link.springer.com/journal/330
Uncontrolled Keywords : MRI, Whole Body, Multiple Myeloma, Bortezomib Response Monitoring
Depositing User : Melanie Hughes
Date Deposited : 23 May 2017 16:58
Last Modified : 23 May 2017 16:58
URI: http://epubs.surrey.ac.uk/id/eprint/841089

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