Volume 47, Issue 4 pp. 1133-1138
Technical Development

Quantitative susceptibility mapping as a monitoring biomarker in cerebral cavernous malformations with recent hemorrhage

Hussein A. Zeineddine MD

Hussein A. Zeineddine MD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

The first two authors contributed equally to this work.

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Romuald Girard PhD

Romuald Girard PhD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

The first two authors contributed equally to this work.

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Ying Cao MS

Ying Cao MS

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Nicholas Hobson MS

Nicholas Hobson MS

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Maged D. Fam MD

Maged D. Fam MD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Agnieszka Stadnik MS

Agnieszka Stadnik MS

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Huan Tan PhD

Huan Tan PhD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Jingjing Shen MD

Jingjing Shen MD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Kiranj Chaudagar PhD

Kiranj Chaudagar PhD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Robert Shenkar PhD

Robert Shenkar PhD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Richard E. Thompson PhD

Richard E. Thompson PhD

Brain Injury Outcomes unit, Johns Hopkins University, Baltimore, Maryland, USA

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Nichol McBee MPH

Nichol McBee MPH

Brain Injury Outcomes unit, Johns Hopkins University, Baltimore, Maryland, USA

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Daniel Hanley MD

Daniel Hanley MD

Brain Injury Outcomes unit, Johns Hopkins University, Baltimore, Maryland, USA

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Timothy Carroll PhD

Timothy Carroll PhD

Department of Diagnostic Radiology, The University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Gregory A. Christoforidis MD

Gregory A. Christoforidis MD

Department of Diagnostic Radiology, The University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

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Issam A. Awad MD

Corresponding Author

Issam A. Awad MD

Section of Neurosurgery, Department of Surgery, University of Chicago Medicine and Biological Sciences, Chicago, Illinois, USA

Address reprint requests to: I.A.A., Section of Neurosurgery, University of Chicago Medicine, 5841 S. Maryland, MC3026/Neurosurgery J341, Chicago, IL 60637. E-mail: [email protected].Search for more papers by this author
First published: 09 August 2017
Citations: 26

Abstract

Background

Quantitative Susceptibility Mapping (QSM) MRI allows accurate assessment of iron content in cerebral cavernous malformations (CCM), and a threshold increase by 6% in QSM has been shown to reflect new symptomatic hemorrhage (SH) in previously stable lesions.

Purpose/Hypothesis

It is unclear how lesional QSM evolves in CCMs after recent SH, and whether this could serve as a monitoring biomarker in clinical trials aimed at preventing rebleeding in these lesions.

Study Type

This is a prospective observational cohort study.

Population

16 CCM patients who experienced a SH within the past year, whose lesion was not resected or irradiated.

Field Strength/Sequence

The data acquisition was performed using QSM sequence implemented on a 3T MRI system

Assessment

The lesional QSM assessments at baseline and yearly during 22 patient-years of follow-up were performed by a trained research staff including imaging scientists.

Statistical Tests

Biomarker changes were assessed in relation to clinical events. Clinical trial modeling was performed using two-tailed tests of time-averaged difference (assuming within-patient correlation of 0.8, power = 0.9 and alpha = 0.1) to detect 20%, 30% or 50% effects of intervention on clinical and biomarkers event rates during two years of follow-up.

Results

The change in mean lesional QSM of index hemorrhagic lesions was +7.93% per patient-year in the whole cohort. There were 5 cases (31%) of recurrent SH or lesional growth, and twice as many instances (62%) with a threshold (6%) increase in QSM. There were no instances of SH hemorrhage or lesional growth without an associated threshold increase in QSM during the same epoch.

Level of Evidence: 1

Technical Efficacy: Stage 4

J. Magn. Reson. Imaging 2018;47:1133–1138.

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