Optimal presentation modes for detecting brain tumor progression

10Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

BACKGROUND AND PURPOSE: A common task in radiology interpretation is visual comparison of images. The purpose of this study was to compare traditional side-by-side and in-place (flicker) image presentation modes with advanced methods for detecting primary brain tumors on MR imaging. MATERIALS AND METHODS: We identified 66 patients with gliomas and 3 consecutive brain MR imaging examinations (a "triplet"). A display application that presented images in side-by-side mode with or without flicker display as well as display of image subtraction or automated change detection information (also with and without flicker display) was used by 3 board-certified neuroradiologists. They identified regions of brain tumor progression by using this display application. Each case was reviewed using all modes (side-by-side presentation with and without flicker, subtraction with and without flicker, and change detection with and without flicker), with results compared via a panel rating. RESULTS: Automated change detection with or without flicker (P < .0027) as well as subtraction with or without flicker (P < .0027) were more sensitive to tumor progression than side-by-side presentation in cases where all 3 raters agreed. Change detection afforded the highest interrater agreement, followed by subtraction. Clinically determined time to progression was longer for cases rated as nonprogressing by using subtraction images and change-detection images both with and without flicker display mode compared with side-by-side presentation. CONCLUSIONS: Automated change detection and image subtraction, with and without flicker display mode, are superior to side-by-side image comparison.

Cite

CITATION STYLE

APA

Erickson, B. J., Wood, C. P., Kaufmann, T. J., Patriarche, J. W., & Mandrekar, J. (2011). Optimal presentation modes for detecting brain tumor progression. American Journal of Neuroradiology, 32(9), 1652–1657. https://doi.org/10.3174/ajnr.A2596

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free