ReviewQuantitative imaging in medicine and surgery2018
CT cinematic rendering for pelvic primary tumor photorealistic visualization.
Review in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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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.
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Who cites it
7 citing papers in PubMed.
- Imaging Through Scattering Tissue Using Near Infra-Red and a Convolutional Autoencoder.Sensors (Basel, Switzerland) · 2026Article
- Imaging Through Scattering Tissue Based on NIR Multispectral Image Fusion Technique.Sensors (Basel, Switzerland) · 2025Article
- Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review.Cancers · 2023Review
- 3D CT cinematic rendering of pediatric thoracic vascular anomalies.European journal of radiology open · 2023Article
- Cinematic rendering for ischiofemoral impingement syndrome caused by osteochondroma: a case description.Quantitative imaging in medicine and surgery · 2022Article
- Cinematic rendering for three-dimensional reconstructions of the chest wall: a new reality.Einstein (Sao Paulo, Brazil) · 2020Article
- Cinematic rendering: a new imaging approach for ulcerative colitis.Japanese journal of radiology · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pelvic tumors can be both complicated and challenging, and computed tomography (CT) has played an important role in the diagnosis and treatment planning of these conditions. Cinematic rendering (CR) is a new method of 3D imaging using CT volumetric data. Unlike traditional 3D methods, CR uses the global illumination model to produce high-definition surface details and shadow effects to generate photorealistic images. In this pictorial review, a series of primary pelvic tumor cases are presented to demonstrate the potential value of CR relative to conventional volume rendering (VR). This technique holds great potential in disease diagnosis, preoperative planning, medical education and patient communication.
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Registered trials
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.