Evidence map›Paper›PMID 37908958›Full record

ReviewCureus2023

Photogrammetry Applied to Neurosurgery: A Literature Review.

Martin Trandzhiev, Donika I Vezirska, Ivan Maslarski, Milko D Milev, Lili Laleva, Vladimir Nakov, Jan F Cornelius, Toma Spiriev

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Immersive Neurosurgical Anatomy Using Photogrammetry: Technical Note and Scoping Review.Journal of neurological surgery. Part B, Skull base · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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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

8 authors at 4 institutions in 2 countries.

Martin TrandzhievDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Donika I VezirskaDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Ivan MaslarskiDepartment of Anatomy and Histology, Pathology, and Forensic Medicine, University Hospital Lozenetz, Medical Faculty, Sofia University, Sofia, BGR.
Milko D MilevDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Lili LalevaDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Vladimir NakovDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Jan F CorneliusDepartment of Neurosurgery, University Hospital of Düsseldorf, Heinrich Heine University, Düsseldorf, DEU.
Toma SpirievDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Düsseldorf University Hospital · DEHeinrich Heine University Düsseldorf · DEAcibadem City Clinic · BGLozenetz Hospital · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photogrammetry refers to the process of creating 3D models and taking measurements through the use of photographs. Photogrammetry has many applications in neurosurgery, such as creating 3D anatomical models and diagnosing and evaluating head shape and posture deformities. This review aims to summarize the uses of the technique in the neurosurgical practice and showcase the systems and software required for its implementation. A literature review was done in the online database PubMed. Papers were searched using the keywords "photogrammetry", "neurosurgery", "neuroanatomy", "craniosynostosis" and "scoliosis". The identified articles were later put through primary (abstracts and titles) and secondary (full text) screening for eligibility for inclusion. In total, 86 articles were included in the review from 315 papers identified. The review showed that the main uses of photogrammetry in the field of neurosurgery are related to the creation of 3D models of complex neuroanatomical structures and surgical approaches, accompanied by the uses for diagnosis and evaluation of patients with structural deformities of the head and trunk, such as craniosynostosis and scoliosis. Additionally, three instances of photogrammetry applied for more specific aims, namely, cervical spine surgery, skull-base surgery, and radiosurgery, were identified. Information was extracted on the software and systems used to execute the method. With the development of the photogrammetric method, it has become possible to create accurate 3D models of physical objects and analyze images with dedicated software. In the neurosurgical setting, this has translated into the creation of anatomical teaching models and surgical 3D models as well as the evaluation of head and spine deformities. Through those applications, the method has the potential to facilitate the education of residents and medical students and the diagnosis of patient pathologies.

Indexed as

craniosynostosisneurosurgeryneurosurgical approachesphotogrammetryscoliosisthree-dimensional models

Identifiers

PMID37908958
PMCPMC10614469
OpenAlexW4387217769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.