Evidence map›Paper›PMID 39795561›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Advanced Imaging and Preoperative MR-Based Cinematic Rendering Reconstructions for Neoplasms in the Oral and Maxillofacial Region.

Adib Al-Haj Husain, Milica Stojicevic, Nicolin Hainc, Bernd Stadlinger

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adib Al-Haj HusainClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, 8032 Zurich, Switzerland.ORCID 0000-0001-7895-1461
Milica StojicevicClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, 8032 Zurich, Switzerland.
Nicolin HaincDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland.
Bernd StadlingerClinic of Cranio-Maxillofacial and Oral Surgery, Center of Dental Medicine, University of Zurich, 8032 Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case study highlights the use of cinematic rendering (CR) in preoperative planning for the excision of a cyst in the oral and maxillofacial region of a 60-year-old man. The patient presented with a firm, non-tender mass in the right cheek, clinically suspected to be an epidermoid cyst. Conventional imaging, including dental magnetic resonance imaging (MRI) protocols, confirmed the lesion's size, location, and benign nature. CR reconstructions, combining advanced algorithms and novel skin presets, allow for the generation of highly realistic, three-dimensional visualizations from conventional imaging datasets. CR provided an enhanced, detailed depiction of the lesion within its anatomical context, significantly improving spatial understanding for surgical planning. The surgical excision was performed without complications, and histological analysis confirmed the diagnosis of a benign epidermoid cyst with no evidence of dysplasia or malignancy. This case demonstrates the potential of CR to refine preoperative planning, especially in complex anatomical regions such as the face and jaw, by offering superior visualization of superficial and deep structures. Thus, the integration of CR into clinical workflows has the potential to lead to improved diagnostic accuracy and better surgical outcomes.

Indexed as

cinematic renderingimage postprocessingmagnetic resonance imagingneoplasmoral and maxillofacial surgery

Identifiers

PMID39795561
PMCPMC11720703

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Registered trials

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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.