Evidence map›Paper›PMID 42760764›Full record

ArticleThe Eurasian journal of medicine2026

Cinematic Rendering of Brain Magnetic Resonance Imaging: Photorealistic Visualization of Normal Neuroanatomy and Primary Brain Tumors.

Zeynep Fırat, Füsun Er, Antonio Di Ieva, Gazanfer Ekinci, Uğur Türe

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Article in The Eurasian journal of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zeynep FıratDepartment of Radiology, Yeditepe University Hospitals, İstanbul, Türkiye.ORCID 0000-0001-6810-6360
Füsun ErDepartment of Computer Engineering, Piri Reis University, İstanbul, Türkiye.ORCID 0000-0002-6339-8736
Antonio Di IevaComputational NeuroSurgery (CNS) Lab, Macquarie Medical School, Macquarie University Faculty of Medicine and Health Sciences, Sydney, NSW, Australia.ORCID 0000-0002-5341-5416
Gazanfer EkinciDepartment of Radiology, Yeditepe University Hospitals, İstanbul, Türkiye.ORCID 0000-0002-1589-1833
Uğur TüreDepartment of Neurosurgery, Yeditepe University Hospitals, İstanbul, Türkiye.ORCID 0000-0002-2499-7525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCinematic rendering (CR) is an advanced post-processing technique that generates volumetric 3-dimensional (3D) visualizations from routine clinical magnetic resonance imaging (MRI) data, potentially enhancing anatomical interpretation and spatial understanding.

methodsIn this retrospective single-center study, 3.0-T MRI datasets from 35 participants (15 healthy controls and 20 patients with histopathologically confirmed primary brain tumors) were analyzed. Cinematic rendering images were generated from precontrast 3D T1-weighted magnetization-prepared rapid acquisition gradient echo (MPRAGE) sequences. Two independent senior observers evaluated image resolution, anatomical detail, lesion depiction, visualization utility, and educational value using a 3-point Likert-type scale. Interobserver agreement was assessed using quadratic weighted Cohen's κ with bootstrap-derived 95% confidence intervals. Statistical analyses were performed using IBM SPSS Statistics for Windows, Version 29.0 (IBM Corp.; Armonk, NY, USA).

resultsCinematic rendering provided consistent, high-fidelity 3D visualization of normal neuroanatomy and tumor-related structural alterations across different primary brain tumor histologies. Image quality ratings were uniformly high (median score: 3), with no significant differences between groups (P ≥ .229). Educational value was rated consistently by both observers across all cases. Interobserver agreement ranged from substantial to almost perfect (κ = 0.65-1.00), with perfect agreement for lesion depiction (κ = 1.00; 100% agreement).

conclusionCinematic rendering applied to routine brain MRI provides reproducible, depth-enhanced 3D visualization of normal brain anatomy and tumor-related spatial relationships. The technique demonstrates consistent image quality and interpretability across different tumor types and may serve as a supplementary tool for neuroanatomical education and spatial understanding in clinical practice. Cite this article as: Fırat Z, Er F, Ieva AD, Ekinci G, Türe U. Cinematic rendering of brain magnetic resonance imaging: photorealistic visualization of normal neuroanatomy and primary brain tumors. Eurasian J Med. 2026, 58(4), 1605, doi: 10.5152/ eurasianjmed.2026.261605.

Indexed as

3-dimensional visualizationBrain MRIcinematic renderingmedical educationneuroanatomy

Identifiers

PMID42760764
PMCPMC13602126

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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.