Digital “flipbooks” for enhanced visual assessment of simple and complex brain tumors

Author:

Cho Nicholas S1234ORCID,Le Viên Lam234ORCID,Sanvito Francesco34,Oshima Sonoko34,Harper Jayla56,Chun Saewon56,Raymond Catalina34ORCID,Lai Albert56ORCID,Nghiemphu Phioanh L56ORCID,Yao Jingwen34,Everson Richard7,Salamon Noriko3ORCID,Cloughesy Timothy F56ORCID,Ellingson Benjamin M8724ORCID

Affiliation:

1. Medical Scientist Training Program, David Geffen School of Medicine, University of California , Los Angeles, California , USA

2. Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California , Los Angeles, California , USA

3. Department of Radiological Sciences, David Geffen School of Medicine, University of California , Los Angeles, California , USA

4. Department of Radiological Sciences, UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California , Los Angeles, California , USA

5. Department of Neurology, David Geffen School of Medicine, University of California , Los Angeles, California , USA

6. UCLA Neuro-Oncology Program, David Geffen School of Medicine, University of California , Los Angeles, California , USA

7. Department of Neurosurgery, David Geffen School of Medicine, University of California , Los Angeles, California , USA

8. Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California , Los Angeles, California , USA

Abstract

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.

Funder

Sontag Foundation

National Brain Tumor Society

Publisher

Oxford University Press (OUP)

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