Evidence map›Paper›PMID 32964727›Full record

ArticleAnnals of the Royal College of Surgeons of England2021

Producing three-dimensional printed models of the hepatobiliary system from computed tomography imaging data.

R W Smillie, M A Williams, M Richard, T Cosker

Abstract read
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Pooled it
  3. 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

4 authors.

R W SmillieDepartment of Physiology, Anatomy and Genetics, Oxford, UK.
M A WilliamsDepartment of Physiology, Anatomy and Genetics, Oxford, UK.
M Richard3D LifePrints, Nuffield Orthopaedic Centre, Oxford, UK.
T CoskerDepartment of Physiology, Anatomy and Genetics, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMacroscopic anatomy has traditionally been taught using cadaveric material, lectures and a variety of additional resources including online modules and anatomical models. Traditional plastic models are effective educational tools yet they have significant drawbacks such as a lack of anatomical detail, a lack of texturisation and cost. Three-dimensional printed models stand to solve these problems and widen access to high-quality anatomical teaching. This paper outlines the use of three-dimensional multiplanar imaging (computed tomography) in the development of an accurate model of the hepatobiliary system. MATERIALS AND

methodsComputed tomography scans were used to construct a virtual three-dimensional model of the hepatobiliary system. This was printed locally as a full-size colour model. We give a complete account of the process and software used. DISCUSSION: This study is among the first of a series in which we will document the newly formed Oxford Library of Anatomy. This series will provide the methodology for the production of three-dimensional models from computed tomography and magnetic resonance imaging scans, and the library will provide a complete collection of the most complex anatomical areas. We hope that these models will form an important adjunct in teaching anatomy to medical students and surgical trainees.

Indexed as

Models, AnatomicPrinting, Three-DimensionalAnatomyBiliary TractEducation, MedicalEducation, Medical, UndergraduateHumansImaging, Three-DimensionalLiverMagnetic Resonance ImagingPancreasSoftwareStudents, MedicalTeachingTomography, X-Ray ComputedAnatomyBiliary tractEducationLiverPancreasPrintingThree-dimensional

Identifiers

PMID32964727
PMCPMC7705153

What OpenQuestion holds

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.