Evidence map›Paper›PMID 38808755›Full record

ArticleNeuro-oncology2024

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

Nicholas S Cho, Viên Lam Le, Francesco Sanvito, Sonoko Oshima, Jayla Harper, Saewon Chun, Catalina Raymond, Albert Lai, Phioanh L Nghiemphu, Jingwen Yao and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Nicholas S ChoMedical Scientist Training Program, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0002-8686-0575
Viên Lam LeDepartment of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, California, USA.ORCID 0000-0003-2933-332X
Francesco SanvitoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Sonoko OshimaDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Jayla HarperDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Saewon ChunDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Catalina RaymondDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0003-2757-439X
Albert LaiDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0002-7265-2986
Phioanh L NghiemphuDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0003-4064-6079
Jingwen YaoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Richard EversonDepartment of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, California, USA.
Noriko SalamonDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0002-3520-9467
Timothy F CloughesyDepartment of Neurology, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0002-8656-7483
Benjamin M EllingsonDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0002-2764-6640

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GANG LI · 2017 to 2026
$25.2M
Role of decorin and diffusion MRI in anti-VEGF efficacy for recurrent glioblastomaR01CA270027 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TIMOTHY CLOUGHESY, Benjamin M. Ellingson · 2022 to 2026
$3.0M
Quantitative molecular MR-PET imaging of glycolysis in glioblastomaR01CA279984 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Benjamin M. Ellingson, David A. Nathanson · 2023 to 2026
$2.4M
Molecular MR-PET to characterize malignant transformation and identify therapeutic vulnerabilities in human IDH-mutant gliomasF30CA284809 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHO, NICHOLAS S. · 2023 to 2025
$136k
National Brain Tumor SocietyNCI NIH HHS F30 CA284809NCI NIH HHS P50 CA211015NCI NIH HHS R01 CA270027NCI NIH HHS R01 CA279984NIGMS NIH HHS T32 GM008042Sontag Foundation
6 · The paper itself

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.

Indexed as

Brain NeoplasmsMagnetic Resonance ImagingHumansImage Processing, Computer-AssistedSoftwarebrain tumorsflipbooksMRItreatment response assessment

Identifiers

PMID38808755
PMCPMC11449060

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.