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Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction

OBJECTIVES: To evaluate whole-body MRI (WB-MRI) parameters significantly associated with treatment response in multiple myeloma (MM). METHODS: Twenty-one MM patients underwent WB-MRI at diagnosis and after two cycles of chemotherapy. Scans acquired at 3.0 T included T2, diffusion-weighted-imaging (D...

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Autores principales: Latifoltojar, Arash, Hall-Craggs, Margaret, Bainbridge, Alan, Rabin, Neil, Popat, Rakesh, Rismani, Ali, D’Sa, Shirley, Dikaios, Nikolaos, Sokolska, Magdalena, Antonelli, Michela, Ourselin, Sebastien, Yong, Kwee, Taylor, Stuart A., Halligan, Steve, Punwani, Shonit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674123/
https://www.ncbi.nlm.nih.gov/pubmed/28656463
http://dx.doi.org/10.1007/s00330-017-4907-8
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author Latifoltojar, Arash
Hall-Craggs, Margaret
Bainbridge, Alan
Rabin, Neil
Popat, Rakesh
Rismani, Ali
D’Sa, Shirley
Dikaios, Nikolaos
Sokolska, Magdalena
Antonelli, Michela
Ourselin, Sebastien
Yong, Kwee
Taylor, Stuart A.
Halligan, Steve
Punwani, Shonit
author_facet Latifoltojar, Arash
Hall-Craggs, Margaret
Bainbridge, Alan
Rabin, Neil
Popat, Rakesh
Rismani, Ali
D’Sa, Shirley
Dikaios, Nikolaos
Sokolska, Magdalena
Antonelli, Michela
Ourselin, Sebastien
Yong, Kwee
Taylor, Stuart A.
Halligan, Steve
Punwani, Shonit
author_sort Latifoltojar, Arash
collection PubMed
description OBJECTIVES: To evaluate whole-body MRI (WB-MRI) parameters significantly associated with treatment response in multiple myeloma (MM). METHODS: Twenty-one MM patients underwent WB-MRI at diagnosis and after two cycles of chemotherapy. Scans acquired at 3.0 T included T2, diffusion-weighted-imaging (DWI) and mDixon pre- and post-contrast. Twenty focal lesions (FLs) matched on DWI and post-contrast mDixon were selected for each time point. Estimated tumour volume (eTV), apparent diffusion 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: Fifteen of 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 19/21 cases. Focal lesion sFF was the best discriminator 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. KEY POINTS: • Bone signal fat fraction using mDixon is a robust quantifiable parameter • Fat fraction and ADC significantly increase in myeloma lesions responding to treatment • Bone lesion fat fraction is the best discriminator of myeloma treatment response
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spelling pubmed-56741232017-11-20 Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction Latifoltojar, Arash Hall-Craggs, Margaret Bainbridge, Alan Rabin, Neil Popat, Rakesh Rismani, Ali D’Sa, Shirley Dikaios, Nikolaos Sokolska, Magdalena Antonelli, Michela Ourselin, Sebastien Yong, Kwee Taylor, Stuart A. Halligan, Steve Punwani, Shonit Eur Radiol Magnetic Resonance OBJECTIVES: To evaluate whole-body MRI (WB-MRI) parameters significantly associated with treatment response in multiple myeloma (MM). METHODS: Twenty-one MM patients underwent WB-MRI at diagnosis and after two cycles of chemotherapy. Scans acquired at 3.0 T included T2, diffusion-weighted-imaging (DWI) and mDixon pre- and post-contrast. Twenty focal lesions (FLs) matched on DWI and post-contrast mDixon were selected for each time point. Estimated tumour volume (eTV), apparent diffusion 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: Fifteen of 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 19/21 cases. Focal lesion sFF was the best discriminator 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. KEY POINTS: • Bone signal fat fraction using mDixon is a robust quantifiable parameter • Fat fraction and ADC significantly increase in myeloma lesions responding to treatment • Bone lesion fat fraction is the best discriminator of myeloma treatment response Springer Berlin Heidelberg 2017-06-27 2017 /pmc/articles/PMC5674123/ /pubmed/28656463 http://dx.doi.org/10.1007/s00330-017-4907-8 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Magnetic Resonance
Latifoltojar, Arash
Hall-Craggs, Margaret
Bainbridge, Alan
Rabin, Neil
Popat, Rakesh
Rismani, Ali
D’Sa, Shirley
Dikaios, Nikolaos
Sokolska, Magdalena
Antonelli, Michela
Ourselin, Sebastien
Yong, Kwee
Taylor, Stuart A.
Halligan, Steve
Punwani, Shonit
Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
title Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
title_full Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
title_fullStr Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
title_full_unstemmed Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
title_short Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
title_sort whole-body mri quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction
topic Magnetic Resonance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5674123/
https://www.ncbi.nlm.nih.gov/pubmed/28656463
http://dx.doi.org/10.1007/s00330-017-4907-8
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