Evidence map›Paper›PMID 32114650›Full record

ArticleSurgical and radiologic anatomy : SRA2020

Stereoscopic three-dimensional visualization: interest for neuroanatomy teaching in medical school.

Timothée Jacquesson, Emile Simon, Corentin Dauleac, Loïc Margueron, Philip Robinson, Patrick Mertens

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In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Enhancing Dermoscopy Learning with Stereoscopic 3D Imaging.Dermatology practical & conceptual · 2026
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  10. The use of 3D video in medical education: A scoping review.International journal of nursing sciences · 2023
    Article
  11. The Application of 3D Anatomy for Teaching Veterinary Clinical Neurology.Animals : an open access journal from MDPI · 2023
    Article
  12. Visualization in Anatomy Education.Advances in experimental medicine and biology · 2023
    Article
  13. Article
  14. Dr. Howard A. Kelly'sJournal of the Medical Library Association : JMLA · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Timothée JacquessonDepartment of Anatomy, Faculté de médecine Lyon-Est, Université de Lyon, Université Claude Bernard Lyon I, 8 Avenue Rockefeller, 69003, Lyon, France. timothee.jacquesson@neurochirurgie.fr.ORCID http://orcid.org/0000-0001-9985-3617
Emile SimonDepartment of Anatomy, Faculté de médecine Lyon-Est, Université de Lyon, Université Claude Bernard Lyon I, 8 Avenue Rockefeller, 69003, Lyon, France.
Corentin DauleacDepartment of Anatomy, Faculté de médecine Lyon-Est, Université de Lyon, Université Claude Bernard Lyon I, 8 Avenue Rockefeller, 69003, Lyon, France.
Loïc MargueronDepartment of Anatomy, Faculté de médecine Lyon-Est, Université de Lyon, Université Claude Bernard Lyon I, 8 Avenue Rockefeller, 69003, Lyon, France.
Philip RobinsonDepartment of Clinical Research and Innovation, Hospices Civils de Lyon, Lyon, France.
Patrick MertensDepartment of Anatomy, Faculté de médecine Lyon-Est, Université de Lyon, Université Claude Bernard Lyon I, 8 Avenue Rockefeller, 69003, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe anatomy of both the brain and the skull is particularly difficult to learn and to teach. Since their anatomical structures are numerous and gathered in a complex tridimensional (3D) architecture, classic schematical drawing or photography in two dimensions (2D) has difficulties in providing a clear, simple, and accurate message. Advances in photography and computer sciences have led to develop stereoscopic 3D visualization, firstly for entertainment then for education. In the present study, we report our experience of stereoscopic 3D lecture for neuroanatomy teaching to early medical school students.

methodsHigh-resolution specific pictures were taken on various specimen dissections in the Anatomy Laboratory of the University of Lyon, France. Selected stereoscopic 3D views were displayed on a large dedicated screen using a doubled video projector. A 2-h stereoscopic neuroanatomy lecture was given by two neuroanatomists to third-year medicine students who wore passive 3D glasses. Setting up lasted 30 min and involved four people. The feedback from students was collected and analyzed.

resultsAmong the 483 students who have attended the stereoscopic 3D lecture, 195 gave feedback, and all (100%) were satisfied. Among these, 190 (97.5%) reported a better knowledge transfer of brain anatomy and its 3D architecture. Furthermore, 167 (86.1%) students felt it could change their further clinical practice, 179 (91.8%) thought it could enhance their results in forthcoming anatomy examinations, and 150 (76.9%) believed such a 3D lecture might allow them to become better physicians. This 3D anatomy lecture was graded 8.9/10 a mean against 5.9/10 for previous classical 2D lectures. DISCUSSION-

conclusionThe stereoscopic 3D teaching of neuroanatomy made medical students enthusiastic involving digital technologies. It could improve their anatomical knowledge and test scores, as well as their clinical competences. Depending on university means and the commitment of teachers, this new tool should be extended to other anatomical fields. However, its setting up requires resources from faculties and its impact on clinical competencies needs to be objectively assessed.

Indexed as

Models, AnatomicTeachingBrainDissectionEducation, Medical, UndergraduateFranceHumansImaging, Three-DimensionalNeuroanatomyPhotographySchools, MedicalSkullStudents, MedicalSurveys and QuestionnairesAnatomyPedagogyStereoscopyTeachingTridimensional

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Textmetadata
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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.