Abstract
SUMMARY: In this retrospective case-control study, we investigated whether an image-processing algorithm designed to exaggerate the intensity of diseased hippocampi on FLAIR images can improve the diagnostic accuracy and interobserver reliability of radiologists in detecting mesial temporal sclerosis–related hippocampal signal alteration. Herein, we share the results of this study that showed that the image processing improved the confidence of radiologists in detecting mesial temporal sclerosis–related signal alteration, allowing an improved sensitivity, specificity, and interobserver reliability.
ABBREVIATIONS:
- MTS
- mesial temporal sclerosis
- SI
- signal intensity
Footnotes
Disclosures: Amber Salter—UNRELATED: Consultancy: Circulation Cardiovascular Imaging. Aseem Sharma—RELATED: Other: Correlative Enhancement LLC, Comments: I hold the intellectual property rights to the image-processing algorithms used in this study. I have founded a company (Correlative Enhancement LLC) with the aim of future commercialization of this intellectual property. I am the sole proprietor of the company, and since the inception of the company until now (including the time during which I processed the images for this study), this company has not received funding from any external source. While I used the algorithms to process the images for this study, I did not participate in patient selection, image review, image analysis, or the subsequent statistical analysis; UNRELATED: Consultancy: Biomedical Systems, Comments: As a consultant, I serve as an independent reviewer for imaging studies performed for research by third parties; Patents (Planned, Pending or Issued): I have been issued the patent for the method of image processing used in this and other studies; Stock/Stock Options: GE Healthcare, Comments: I hold approximately $10,000 worth of publicly traded GE stocks. Sonika Dahiya—UNRELATED: Employment: Washington University School of Medicine.
- © 2019 by American Journal of Neuroradiology