Evidence map›Paper›PMID 32676743›Full record

ArticleSurgical and radiologic anatomy : SRA2021

Peeled images and sectioned images from real-color volume models of foot.

Jin Seo Park, Yong Wook Jung

Abstract read
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In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024
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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

2 authors.

Jin Seo ParkDepartment of Anatomy, Dongguk University School of Medicine, Gyeongju-si, Republic of Korea. park93@dongguk.ac.kr.ORCID http://orcid.org/0000-0001-7956-4148
Yong Wook JungDepartment of Anatomy, Dongguk University School of Medicine, Gyeongju-si, Republic of Korea.

Funding

Ministry of Trade, Industry and Energy N0002249
6 · The paper itself

Abstract

purposeIn all educational materials, the foot cannot be peeled from skin to the bone at constant intervals, like as real dissection. The aim of this study was to produce the peeled images which the foot structures can be peeled gradually along a skin-curved surface in real color, like a real dissection. In addition, the sectioned images of typical and atypical planes are presented in real color and high resolution.

methodsFrom the sectioned images of real color, foot volume models were made using Photoshop, Matlab, and MRIcroGL. Peeled images and sectioned images of the typical planes were produced from the volume models. All images were placed into the browsing software. An atypical plane could be shown in a real-time using the volume models of the foot.

resultsUsing the peeled images, in which the foot can be rotated at 5-degree intervals and stripped gradually at 0-30 mm depth, the foot anatomy could be learned precisely and efficiently. The sectional anatomy of the foot for radiology and orthopedic surgery could also be learned easily using the sectioned images of typical (horizontal, coronal, and sagittal) and atypical planes.

conclusionThe most significant merit of the volume models is that all outcomes can be displayed with proper colors of the body structures on any plane. By virtue of these merits, the volume models are useful for learning medical education, research, and clinical practice.

Indexed as

Visible Human ProjectsColorFootHumansRepublic of KoreaCross-sectional anatomyFootThree-dimensional imagingVisible human projects

Identifiers

What OpenQuestion holds

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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.