Evidence map›Paper›PMID 27480284›Full record

ArticleInternational journal of computer assisted radiology and surgery2017

The production of digital and printed resources from multiple modalities using visualization and three-dimensional printing techniques.

Wuyang Shui, Mingquan Zhou, Shi Chen, Zhouxian Pan, Qingqiong Deng, Yong Yao, Hui Pan, Taiping He, Xingce Wang

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  15. The manufacturing procedure of 3D printed models for endoscopic endonasal transsphenoidal pituitary surgery.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
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  18. 3D Printed Organ Models for Surgical Applications.Annual review of analytical chemistry (Palo Alto, Calif.) · 2018
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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

9 authors.

Wuyang ShuiCollege of Information Science and Technology, Beijing Normal University, Beijing, 100875, China.
Mingquan ZhouCollege of Information Science and Technology, Beijing Normal University, Beijing, 100875, China.
Shi ChenDepartment of Endocrinology, Endocrine Key Laboratory of Ministry of Health, National Virtual Simulation Laboratory Education Center of Medical Sciences, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. cs0083@126.com.
Zhouxian PanEight-year Program of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Qingqiong DengCollege of Information Science and Technology, Beijing Normal University, Beijing, 100875, China.
Yong YaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Hui PanDepartment of Education, National Virtual Simulation Laboratory Education Center of Medical Sciences, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Taiping HeAffiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712000, China.
Xingce WangCollege of Information Science and Technology, Beijing Normal University, Beijing, 100875, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVirtual digital resources and printed models have become indispensable tools for medical training and surgical planning. Nevertheless, printed models of soft tissue organs are still challenging to reproduce. This study adopts open source packages and a low-cost desktop 3D printer to convert multiple modalities of medical images to digital resources (volume rendering images and digital models) and lifelike printed models, which are useful to enhance our understanding of the geometric structure and complex spatial nature of anatomical organs. MATERIALS AND

methodsNeuroimaging technologies such as CT, CTA, MRI, and TOF-MRA collect serial medical images. The procedures for producing digital resources can be divided into volume rendering and medical image reconstruction. To verify the accuracy of reconstruction, this study presents qualitative and quantitative assessments. Subsequently, digital models are archived as stereolithography format files and imported to the bundled software of the 3D printer. The printed models are produced using polylactide filament materials.

resultsWe have successfully converted multiple modalities of medical images to digital resources and printed models for both hard organs (cranial base and tooth) and soft tissue organs (brain, blood vessels of the brain, the heart chambers and vessel lumen, and pituitary tumor). Multiple digital resources and printed models were provided to illustrate the anatomical relationship between organs and complicated surrounding structures. Three-dimensional printing (3DP) is a powerful tool to produce lifelike and tangible models.

conclusionsWe present an available and cost-effective method for producing both digital resources and printed models. The choice of modality in medical images and the processing approach is important when reproducing soft tissue organs models. The accuracy of the printed model is determined by the quality of organ models and 3DP. With the ongoing improvement of printing techniques and the variety of materials available, 3DP will become an indispensable tool in medical training and surgical planning.

Indexed as

Models, AnatomicPrinting, Three-DimensionalBrainCerebral AngiographyComputed Tomography AngiographyCone-Beam Computed TomographyCoronary AngiographyHeartHumansImaging, Three-DimensionalMagnetic Resonance AngiographyMagnetic Resonance ImagingPituitary NeoplasmsSkull BaseSoftwareTomography, X-Ray Computed3D printingAnatomical organsMedical imagesMedical reconstructionVisualization

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Registered trials

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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.