Prognostic significance of focal lesions and diffuse infiltration on MRI for multiple myeloma: a meta-analysis
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Abstract
Objectives
MRI of bone marrow of the axial skeleton is recommended for evaluation of multiple myeloma. The impact of bone marrow involvement pattern on MRI for determining progression-free survival (PFS) and overall survival (OS) is not yet clear.
Methods
We performed a meta-analysis of research on the prognostic significance of MRI patterns for OS and PFS using a random effects model. Databases searched without language restriction were MEDLINE, EMBASE, and the Cochrane Library (January 1976 to April 2014). Manual searches were also conducted.
Results
Of 10,953 citations identified in the original search, 10 cohort studies for a total of 2015 patients met the inclusion criteria. Nine of the 10 included studies are from three research groups. Pooled hazard ratios were 1.80 (95 % confidence interval [CI] 1.32–2.46; P < 0.001) for OS and 2.30 (95 % CI 1.65–3.20; P < 0.001) for PFS for focal lesions on MRI; and 1.70 (95 % CI 1.30–2.21; P < 0.001) for OS and 1.74 (95 % CI 1.07–2.85; P = 0.03) for PFS for diffuse infiltration on MRI. No significant heterogeneity was observed among studies.
Conclusions
This meta-analysis demonstrated an association between focal lesions and diffuse infiltration and poor prognosis in this population.
Key Points
• MRI findings of multiple myeloma include normal, focal, variegated and diffuse infiltration
• Focal lesions and diffuse infiltration on MRI were poor prognostic factors
• Bone marrow involvement pattern on MRI can help physicians assess prognosis
Keywords
Multiple myeloma MRI Prognosis Bone marrow Meta-analysisAbbreviations
- CRAB
Hypercalcemia, renal failure, anemia and bone lesions
- CT
Computed tomography
- HR
Hazard ratio
- IMWG
International Myeloma Working Group
- ISS
International staging system
- MGUS
Monoclonal gammopathy of undetermined significance
- MRI
Magnetic resonance imaging
- OS
Overall survival
- PFS
Progression-free survival
- QUIPS
Quality in prognosis studies
Notes
Acknowledgments
The scientific guarantor of this publication is Hyun-Jung Kim. The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. The authors state that this work has not received any funding. One of the authors has significant statistical expertise. Methodology: retrospective, performed at one institution.
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