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Hage S, Kinkade S, Girard R, Flemming KD, Kim H, Torbey MT, Huang J, Huston J, Shu Y, Selwyn RG, Hart BL, Mabray MC, Feghali J, Sair HI, Narvid J, Lupo JM, Lee J, Stadnik A, Alcazar-Felix RJ, Shenkar R, Hobson N, DeBiasse D, Lane K, McBee NA, Treine K, Ostapkovich N, Wang Y, Thompson RE, Koenig JI, Carroll T, Hanley DF, Awad IA. Trial Readiness of Cavernous Malformations With Symptomatic Hemorrhage, Part II: Biomarkers and Trial Modeling. Stroke 2024; 55:31-39. [PMID: 38134265 PMCID: PMC10752356 DOI: 10.1161/strokeaha.123.044083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 10/12/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Quantitative susceptibility mapping (QSM) and dynamic contrast-enhanced quantitative perfusion (DCEQP) magnetic resonance imaging sequences assessing iron deposition and vascular permeability were previously correlated with new hemorrhage in cerebral cavernous malformations. We assessed their prospective changes in a multisite trial-readiness project. METHODS Patients with cavernous malformation and symptomatic hemorrhage (SH) in the prior year, without prior or planned lesion resection or irradiation were enrolled. Mean QSM and DCEQP of the SH lesion were acquired at baseline and at 1- and 2-year follow-ups. Sensitivity and specificity of biomarker changes were analyzed in relation to predefined criteria for recurrent SH or asymptomatic change. Sample size calculations for hypothesized therapeutic effects were conducted. RESULTS We logged 143 QSM and 130 DCEQP paired annual assessments. Annual QSM change was greater in cases with SH than in cases without SH (P=0.019). Annual QSM increase by ≥6% occurred in 7 of 7 cases (100%) with recurrent SH and in 7 of 10 cases (70%) with asymptomatic change during the same epoch and 3.82× more frequently than clinical events. DCEQP change had lower sensitivity for SH and asymptomatic change than QSM change and greater variance. A trial with the smallest sample size would detect a 30% difference in QSM annual change during 2 years of follow-up in 34 or 42 subjects (1 and 2 tailed, respectively); power, 0.8, α=0.05. CONCLUSIONS Assessment of QSM change is feasible and sensitive to recurrent bleeding in cavernous malformations. Evaluation of an intervention on QSM percent change may be used as a time-averaged difference between 2 arms using a repeated measures analysis. DCEQP change is associated with lesser sensitivity and higher variability than QSM. These results are the basis of an application for certification by the US Food and Drug Administration of QSM as a biomarker of drug effect on bleeding in cavernous malformations. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT03652181.
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Affiliation(s)
- Stephanie Hage
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Serena Kinkade
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Romuald Girard
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | | | - Helen Kim
- Department of Anesthesiology and Perioperative Care, Center for Cerebrovascular Research (H.K.), University of California, San Francisco
| | - Michel T Torbey
- Department of Neurology (M.T.T.), University of New Mexico, Albuquerque
| | | | - John Huston
- Radiology (J. Huston, Y.S.), Mayo Clinic, Rochester, MN
| | - Yunhong Shu
- Radiology (J. Huston, Y.S.), Mayo Clinic, Rochester, MN
| | - Reed G Selwyn
- Department of Diagnostic Radiology (R.G.S., B.L.H.), University of New Mexico, Albuquerque
| | - Blaine L Hart
- Department of Diagnostic Radiology (R.G.S., B.L.H.), University of New Mexico, Albuquerque
| | - Marc C Mabray
- Department of Radiology (M.C.M.), University of New Mexico, Albuquerque
| | | | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD (H.I.S.)
| | - Jared Narvid
- Department of Radiology and Biomedical Imaging (J.N., J.M.L.), University of California, San Francisco
| | - Janine M Lupo
- Department of Radiology and Biomedical Imaging (J.N., J.M.L.), University of California, San Francisco
| | - Justine Lee
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Agnieszka Stadnik
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Roberto J Alcazar-Felix
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Robert Shenkar
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Nicholas Hobson
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Dorothy DeBiasse
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
| | - Karen Lane
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - Nichole A McBee
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - Kevin Treine
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - Noeleen Ostapkovich
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - Ying Wang
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - Richard E Thompson
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - James I Koenig
- National Institute of Neurological Disorders and Stroke, Bethesda, MD (J.K.)
| | - Timothy Carroll
- Department of Diagnostic Radiology (T.C.), University of Chicago Medicine and Biological Sciences, IL
| | - Daniel F Hanley
- Brain Injury Outcomes Unit, Department of Neurology (K.L., N.A.M., K.T., N.O., Y.W., R.E.T., D.F.H.), Johns Hopkins University Medical Institutions, Baltimore, MD
| | - Issam A Awad
- Neurovascular Surgery Program, Department of Neurological Surgery (S.H., S.K., R.G., J.L., A.S., R.J.A.-F., R.S., N.H., D.D., I.A.A.), University of Chicago Medicine and Biological Sciences, IL
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Hage S, Kinkade S, Girard R, Flemming KD, Kim H, Torbey MT, Huang J, Huston J, Shu Y, Selwyn RG, Hart BL, Mabray MC, Feghali J, Sair HI, Narvid J, Lupo JM, Lee J, Stadnik A, Alcazar R, Shenkar R, Hobson N, DeBiasse D, Lane K, McBee N, Treine K, Ostapkovich N, Wang Y, Thompson RE, Mendoza-Puccini C, Koenig J, Carroll T, Hanley DF, Awad IA. Cavernous Angioma Symptomatic Hemorrhage (CASH) Trial Readiness II: Imaging Biomarkers and Trial Modeling. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.01.23290854. [PMID: 37333396 PMCID: PMC10275015 DOI: 10.1101/2023.06.01.23290854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background Quantitative susceptibility mapping (QSM) and dynamic contrast enhanced quantitative perfusion (DCEQP) MRI sequences assessing iron deposition and vascular permeability were previously correlated with new hemorrhage in cavernous angiomas. We assessed their prospective changes in cavernous angiomas with symptomatic hemorrhage (CASH) in a multisite trial readiness project ( clinicaltrials.gov NCT03652181 ). Methods Patients with CASH in the prior year, without prior or planned lesion resection or irradiation were enrolled. Mean QSM and DCEQP of CASH lesion were acquired at baseline, and at 1- and 2-year follow-ups. Sensitivity and specificity of biomarker changes were analyzed in relation to predefined lesional symptomatic hemorrhage (SH) or asymptomatic change (AC). Sample size calculations for hypothesized therapeutic effects were conducted. Results We logged 143 QSM and 130 DCEQP paired annual assessments. Annual QSM change was greater in cases with SH than in cases without SH (p= 0.019). Annual QSM increase by ≥ 6% occurred in 7 of 7 cases (100%) with recurrent SH and in 7 of 10 cases (70%) with AC during the same epoch, and 3.82 times more frequently than clinical events. DCEQP change had lower sensitivity for SH and AC than QSM change, and greater variance. A trial with smallest sample size would detect a 30% difference in QSM annual change in 34 or 42 subjects (one and two-tailed, respectively), power 0.8, alpha 0.05. Conclusions Assessment of QSM change is feasible and sensitive to recurrent bleeding in CASH. Evaluation of an intervention on QSM percent change may be used as a time-averaged difference between 2 arms using a repeated measures analysis. DCEQP change is associated with lesser sensitivity and higher variability than QSM. These results are the basis of an application for certification by the U.S. F.D.A. of QSM as a biomarker of drug effect in CASH.
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