Evidence map›Paper›PMID 27663868›Full record

ArticleSurgical and radiologic anatomy : SRA2017

Creation of a Virtual Anatomy System based on Chinese Visible Human data sets.

Binji Fang, Yi Wu, Chun Chu, Ying Li, Na Luo, Kaijun Liu, Liwen Tan, Shaoxiang Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Modeling and simulation of an anatomy teaching system.Visual computing for industry, biomedicine, and art · 2019
    Article
  5. Article
  6. Article
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.

Binji FangInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China.
Yi WuInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China.
Chun ChuInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China.
Ying LiInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China.
Na LuoDepartment of Dermatology, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China.
Kaijun LiuInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China.
Liwen TanInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China. tlwtan@163.com.
Shaoxiang ZhangInstitute of Digital Medicine, Biomedical Engineering College, Third Military Medical University, No. 30 Gaotanyan Street, Chongqing, 400038, China. zhangsx1021@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHuman anatomy learning confronts many difficulties, including the lack of anatomical specimens and limitations in anatomical dissection techniques that can destroy and change the shape and position of anatomic structures. A Virtual Anatomy System can help to overcome these difficulties.

methodsBased on the high-resolution thin-sectional anatomical images of the Chinese Visible Human data set, we created a Virtual Anatomical System, including nearly all male and female anatomical structures.

resultsWith this system, medical students can freely observe the detailed anatomical information of the coronal, sagittal, and transverse sections through a 3D-reconstructed realistic model on a personal computer in the local network.

conclusionsThis Virtual Anatomy System is an easy and direct way for students to learn and understand the shape and the relationship of anatomic structures, which can also make the anatomy learning more interesting. Furthermore, it can help students synthetically master the anatomical knowledge.

Indexed as

LearningUser-Computer InterfaceVisible Human ProjectsAnatomyChinaDissectionEducation, MedicalFemaleHumansImaging, Three-DimensionalMaleModels, AnatomicChinese Visible HumanSectional anatomyThree-dimensional reconstructionVirtual anatomy systemVirtual surgery

Identifiers

What OpenQuestion holds

Textmetadata
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.