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Abstract
The A-value used in cochlear duct length (CDL) estimation does not take malformed cochleae into consideration. The objective was to determine the A-value reported in the literature, to assess the accuracy of the A-value measurement and to evaluate a novel cochlear measurement in distinguishing malformed cochlea. High resolution Computer Tomography images in the oblique coronal plane/cochlear view of 74 human temporal bones were analyzed. The A-value and novel C-value measurement were evaluated as predictors of inner ear malformation type. The proximity of the facial nerve to the basal turn was evaluated subjectively. 26 publications report on the A-value; but they do not distinguish normal vs. malformed cochleae. The A-values of the normal cochleae compared to the cochleae with cochlear hypoplasia, incomplete partition (IP) type I, -type II, and -type III were significantly different. The A-value does not predict the C-value. The C-values of the normal cochleae compared to the cochleae with IP type I and IP type III were significantly different. The proximity of the facial nerve to the basal turn did not relate to the type of malformation. The A-value is different in normal vs. malformed cochleae. The novel C-value could be used to predict malformed anatomy, although it does not distinguish all malformation types.
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1 King Saud University, King Abdullah Ear Specialist Center (KAESC), College of Medicine, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396); King Fahad Central Hospital, Ministry of Health, Jizan, Saudi Arabia (GRID:grid.415272.7) (ISNI:0000 0004 0607 9813)
2 King Saud University, King Abdullah Ear Specialist Center (KAESC), College of Medicine, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396)
3 MED-EL GmbH, Research Department, Riyadh, Saudi Arabia (GRID:grid.56302.32)
4 MED-EL GmbH, Research and Development Department, Innsbruck, Austria (GRID:grid.435957.9) (ISNI:0000 0000 9126 7114)
5 MED-EL GmbH, Research and Development Department, Innsbruck, Austria (GRID:grid.435957.9) (ISNI:0000 0000 9126 7114); University of Antwerp, Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, Antwerp, Belgium (GRID:grid.5284.b) (ISNI:0000 0001 0790 3681)