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Diagnostic performance of central vein sign versus oligoclonal bands for multiple sclerosis.
Toljan, Karlo; Daboul, Lynn; Raza, Praneeta; Martin, Melissa L; Cao, Quy; O'Donnell, Carly M; Rodrigues, Paulo; Derbyshire, John; Azevedo, Christina J; Bar-Or, Amit; Caverzasi, Eduardo; Calabresi, Peter A; Cree, Bruce Ac; Freeman, Leorah; Henry, Roland G; Longbrake, Erin E; Oh, Jiwon; Papinutto, Nico; Pelletier, Daniel; Samudralwar, Rohini D; Schindler, Matthew K; Sotirchos, Elias S; Sicotte, Nancy L; Solomon, Andrew J; Shinohara, Russell T; Reich, Daniel S; Sati, Pascal; Ontaneda, Daniel.
Affiliation
  • Toljan K; Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Daboul L; Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Raza P; Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
  • Martin ML; Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA/Department of Neurology, Brigham and Women's Hospital, MA, USA.
  • Cao Q; Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
  • O'Donnell CM; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Rodrigues P; Penn Statistics in Imaging and Visualization Endeavor, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Derbyshire J; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Azevedo CJ; Penn Statistics in Imaging and Visualization Endeavor, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Bar-Or A; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Caverzasi E; Penn Statistics in Imaging and Visualization Endeavor, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Calabresi PA; QMENTA, Boston, MA, USA.
  • Cree BA; Functional MRI Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
  • Freeman L; Department of Neurology, University of Southern California, Los Angeles, CA, USA.
  • Henry RG; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Longbrake EE; Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA.
  • Oh J; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
  • Papinutto N; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
  • Pelletier D; Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA.
  • Samudralwar RD; Department of Neurology, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
  • Schindler MK; Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA.
  • Sotirchos ES; Department of Neurology, Yale University, New Haven, CT, USA.
  • Sicotte NL; Division of Neurology, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
  • Solomon AJ; Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA.
  • Shinohara RT; Department of Neurology, University of Southern California, Los Angeles, CA, USA.
  • Reich DS; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Sati P; Department of Neurology, University of Texas Health Science Center, Houston, TX, USA.
  • Ontaneda D; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Mult Scler ; 30(10): 1268-1277, 2024 Sep.
Article in En | MEDLINE | ID: mdl-39234802
ABSTRACT

BACKGROUND:

Cerebrospinal fluid (CSF) oligoclonal bands (OCB) are a diagnostic biomarker in multiple sclerosis (MS). The central vein sign (CVS) is an imaging biomarker for MS that may improve diagnostic accuracy.

OBJECTIVES:

The objective of the study is to examine the diagnostic performance of simplified CVS methods in comparison to OCB in participants with clinical or radiological suspicion for MS.

METHODS:

Participants from the CentrAl Vein Sign in MS (CAVS-MS) pilot study with CSF testing were included. Select-3 and Select-6 (counting up to three or six CVS+ lesions per scan) were rated on post-gadolinium FLAIR* images. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value for Select-3, Select-6, OCB, and combinations thereof were calculated for MS diagnosis at baseline and at 12 months.

RESULTS:

Of 53 participants, 25 were OCB+. At baseline, sensitivity for MS diagnosis was 0.75 for OCB, 0.83 for Select-3, and 0.71 for Select-6. Specificity for MS diagnosis was 0.76 for OCB, 0.48 for Select-3, and 0.86 for Select-6. At 12 months, PPV for MS diagnosis was 0.95 for Select-6 and 1.00 for Select-6 with OCB+ status.

DISCUSSION:

Results suggest similar diagnostic performance of simplified CVS methods and OCB. Ongoing studies will refine whether CVS could be used in replacement or in conjunction with OCB.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Oligoclonal Bands / Multiple Sclerosis Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Mult Scler Journal subject: NEUROLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Magnetic Resonance Imaging / Oligoclonal Bands / Multiple Sclerosis Limits: Adult / Female / Humans / Male / Middle aged Language: En Journal: Mult Scler Journal subject: NEUROLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: