Back to Search Start Over

Digital "flipbooks" for enhanced visual assessment of simple and complex brain tumors.

Authors :
Cho NS
Le VL
Sanvito F
Oshima S
Harper J
Chun S
Raymond C
Lai A
Nghiemphu PL
Yao J
Everson R
Salamon N
Cloughesy TF
Ellingson BM
Source :
Neuro-oncology [Neuro Oncol] 2024 Oct 03; Vol. 26 (10), pp. 1823-1836.
Publication Year :
2024

Abstract

Typical longitudinal radiographic assessment of brain tumors relies on side-by-side qualitative visualization of serial magnetic resonance images (MRIs) aided by quantitative measurements of tumor size. However, when assessing slowly growing tumors and/or complex tumors, side-by-side visualization and quantification may be difficult or unreliable. Whole-brain, patient-specific "digital flipbooks" of longitudinal scans are a potential method to augment radiographic side-by-side reads in clinical settings by enhancing the visual perception of changes in tumor size, mass effect, and infiltration across multiple slices over time. In this approach, co-registered, consecutive MRI scans are displayed in a slide deck, where one slide displays multiple brain slices of a single timepoint in an array (eg, 3 × 5 "mosaic" view of slices). The flipbooks are viewed similarly to an animated flipbook of cartoons/photos so that subtle radiographic changes are visualized via perceived motion when scrolling through the slides. Importantly, flipbooks can be created easily with free, open-source software. This article describes the step-by-step methodology for creating flipbooks and discusses clinical scenarios for which flipbooks are particularly useful. Example flipbooks are provided in Supplementary Material.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1523-5866
Volume :
26
Issue :
10
Database :
MEDLINE
Journal :
Neuro-oncology
Publication Type :
Academic Journal
Accession number :
38808755
Full Text :
https://doi.org/10.1093/neuonc/noae097