M Borzage1,2,3, A Saunders4,3, J Hughes5, J G McComb6,7, S Blüml8,3, K S King3,5. 1. From the Fetal and Neonatal Institute, Division of Neonatology (M.B.). 2. Department of Pediatrics (M.B.). 3. Rudi Schulte Research Institute (M.B., A.S., S.B., K.S.K.), Santa Barbara, California. 4. Department of Radiology (A.S., S.B.) saundera@usc.edu. 5. Department of Neuroradiology (J.H., K.S.K.), Barrow Neurological Institute, Phoenix, Arizona. 6. Division of Neurosurgery (J.G.M.), Children's Hospital Los Angeles, Los Angeles, California. 7. Neurological Surgery (J.G.M.), Keck School of Medicine, University of Southern California, Los Angeles, California. 8. Department of Radiology (A.S., S.B.).
Abstract
BACKGROUND AND PURPOSE: Many patients with dementia may have comorbid or misdiagnosed normal pressure hydrocephalus, a treatable neurologic disorder. The callosal angle is a validated biomarker for normal pressure hydrocephalus with 93% diagnostic accuracy. Our purpose was to develop and evaluate an algorithm for automatically computing callosal angles from MR images of the brain. MATERIALS AND METHODS: This article reports the results of analyzing callosal angles from 1856 subjects with 5264 MR images from the Open Access Series of Imaging Studies and the Alzheimer's Disease Neuroimaging Initiative databases. Measurement variability was examined between 2 neuroradiologists (n = 50) and between manual and automatic measurements (n = 281); from differences in simulated head orientation; and from real-world changes in patients with multiple examinations (n = 906). We evaluated the effectiveness of the automatic callosal angle to differentiate normal pressure hydrocephalus from Alzheimer disease in a simulated cohort. RESULTS: The algorithm identified that 12.4% of subjects from these carefully screened cohorts had callosal angles of <90°, a published threshold for possible normal pressure hydrocephalus. The intraclass correlation coefficient was 0.97 for agreement between neuroradiologists and 0.90 for agreement between manual and automatic measurement. The method was robust to different head orientations. The median coefficient of variation for repeat examinations was 4.2% (Q1 = 3.1%, Q3 = 5.8%). The simulated classification of normal pressure hydrocephalus versus Alzheimer using the automatic callosal angle had an accuracy, sensitivity, and specificity of 0.87 each. CONCLUSIONS: In even the most pristine research databases, analyses of the callosal angle indicate that some patients may have normal pressure hydrocephalus. The automatic callosal angle measurement can rapidly and objectively screen for normal pressure hydrocephalus in patients who would otherwise be misdiagnosed.
BACKGROUND AND PURPOSE: Many patients with dementia may have comorbid or misdiagnosed normal pressure hydrocephalus, a treatable neurologic disorder. The callosal angle is a validated biomarker for normal pressure hydrocephalus with 93% diagnostic accuracy. Our purpose was to develop and evaluate an algorithm for automatically computing callosal angles from MR images of the brain. MATERIALS AND METHODS: This article reports the results of analyzing callosal angles from 1856 subjects with 5264 MR images from the Open Access Series of Imaging Studies and the Alzheimer's Disease Neuroimaging Initiative databases. Measurement variability was examined between 2 neuroradiologists (n = 50) and between manual and automatic measurements (n = 281); from differences in simulated head orientation; and from real-world changes in patients with multiple examinations (n = 906). We evaluated the effectiveness of the automatic callosal angle to differentiate normal pressure hydrocephalus from Alzheimer disease in a simulated cohort. RESULTS: The algorithm identified that 12.4% of subjects from these carefully screened cohorts had callosal angles of <90°, a published threshold for possible normal pressure hydrocephalus. The intraclass correlation coefficient was 0.97 for agreement between neuroradiologists and 0.90 for agreement between manual and automatic measurement. The method was robust to different head orientations. The median coefficient of variation for repeat examinations was 4.2% (Q1 = 3.1%, Q3 = 5.8%). The simulated classification of normal pressure hydrocephalus versus Alzheimer using the automatic callosal angle had an accuracy, sensitivity, and specificity of 0.87 each. CONCLUSIONS: In even the most pristine research databases, analyses of the callosal angle indicate that some patients may have normal pressure hydrocephalus. The automatic callosal angle measurement can rapidly and objectively screen for normal pressure hydrocephalus in patients who would otherwise be misdiagnosed.
Authors: John J Halperin; Roger Kurlan; Jason M Schwalb; Michael D Cusimano; Gary Gronseth; David Gloss Journal: Neurology Date: 2015-12-08 Impact factor: 9.910
Authors: W M Palm; R Walchenbach; B Bruinsma; F Admiraal-Behloul; H A M Middelkoop; L J Launer; J van der Grond; M A van Buchem Journal: AJNR Am J Neuroradiol Date: 2006-01 Impact factor: 3.825
Authors: Daniel S Marcus; Anthony F Fotenos; John G Csernansky; John C Morris; Randy L Buckner Journal: J Cogn Neurosci Date: 2010-12 Impact factor: 3.225
Authors: Ewa Szczepek; Leszek Tomasz Czerwosz; Krzysztof Nowiński; Zbigniew Czernicki; Jerzy Jurkiewicz Journal: Folia Neuropathol Date: 2015 Impact factor: 2.038
Authors: Phillip A Bonney; Robert G Briggs; Kevin Wu; Wooseong Choi; Anadjeet Khahera; Brandon Ojogho; Xingfeng Shao; Zhen Zhao; Matthew Borzage; Danny J J Wang; Charles Liu; Darrin J Lee Journal: Front Aging Neurosci Date: 2022-04-28 Impact factor: 5.750