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Identification and Characterization of Leptomeningeal Metastases Using SPINE, A Web‐Based Collaborative Platform

Authors :
Alfredo Morales Pinzón
Etta Covert
Matthew N. DeSalvo
Alex Jacobson
Andrzej Marciniak
Aaron J. Thomas
Madhvi Deol
Miklos Palotai
Jeffrey P. Guenette
Raymond Y. Huang
Ayal A. Aizer
Gregory Bliault
Ngoc-Anh Tran
Xiao Tian Li
Charles R.G. Guttmann
Source :
Journal of Neuroimaging. 31:324-333
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

BACKGROUND AND PURPOSE Leptomeningeal metastases (LMs) carry a poor prognosis. Existing LM scoring systems show limited reproducibility. We assessed the contribution of education level on the reproducibility of LM scoring using structured planning and implementation of new experiments (SPINE), a novel web-based platform. METHODS Stringent radiological definitions of LM and a customized interactive scoring system were implemented in SPINE. Five patients with brain LM and 3 patients with spine, but no brain LM, were selected. Each patient's baseline post-contrast T1-weighted brain MRI was analyzed by three attending neuroradiologists, two neuroradiology fellows, and two radiology residents. Raters identified and characterized all LMs based on: (1) location (cerebrum, cerebellum, brainstem, ventricle, and/or cranial nerves); (2) shape (nodular and/or linear/curvilinear); (3) size (≥ or

Details

ISSN :
15526569 and 10512284
Volume :
31
Database :
OpenAIRE
Journal :
Journal of Neuroimaging
Accession number :
edsair.doi.dedup.....27720ff90f9a81c1671fb5a712343a92
Full Text :
https://doi.org/10.1111/jon.12820