Evidence map›Paper›PMID 30014328›Full record

ArticleSurgical endoscopy2019

Implementation of 3D printed superior mesenteric vascular models for surgical planning and/or navigation in right colectomy with extended D3 mesenterectomy: comparison of virtual and physical models to the anatomy found at surgery.

Javier A Luzon, Bjarte T Andersen, Bojan V Stimec, Jean H D Fasel, Arne O Bakka, Airazat M Kazaryan, Dejan Ignjatovic

Erratum issuedOpen access · greenAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  17. The Mesentery in Complete Mesocolic Excision.Clinics in colon and rectal surgery · 2022
    Review
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  19. Value of the surgeon's sightline on hologram registration and targeting in mixed reality.International journal of computer assisted radiology and surgery · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Javier A LuzonFaculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID http://orcid.org/0000-0002-6805-7076
Bjarte T AndersenDepartment of Gastroenterological Surgery, Østfold Hospital Trust, Sarpsborg, Norway.
Bojan V StimecAnatomy Sector, Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Jean H D FaselAnatomy Sector, Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Arne O BakkaFaculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Airazat M KazaryanDivision of Surgery, Department of Digestive Surgery, Akershus University Hospital, Lørenskog, Norway.
Dejan IgnjatovicFaculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway. dexexer01@hotmail.com.ORCID http://orcid.org/0000-0002-8565-0568
University of Oslo · NOUniversity of Geneva · CHAkershus University Hospital · NOØstfold Hospital Trust · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D) printing technology has recently been well approved as an emerging technology in various fields of medical education and practice; e.g., there are numerous studies evaluating 3D printouts of solid organs. Complex surgery such as extended mesenterectomy imposes a need to analyze also the accuracy of 3D printouts of more mobile and complex structures like the diversity of vascular arborization within the central mesentery. The objective of this study was to evaluate the linear dimensional anatomy landmark differences of the superior mesenteric artery and vein between (1) 3D virtual models, (2) 3D printouts, and (3) peroperative measurements.

methodsThe study included 22 patients from the ongoing prospective multicenter trial "Safe Radical D3 Right Hemicolectomy for Cancer through Preoperative Biphasic MDCT Angiography," with preoperative CT and peroperative measurements. The patients were operated in Norway between January 2016 and 2017. Their CT datasets underwent 3D volume rendering and segmentation, and the virtual 3D model produced was then exported for stereolithography 3D printing.

resultsFour parameters were measured: distance between the origins of the ileocolic and the middle colic artery, distance between the termination of the gastrocolic trunk and the ileocolic vein, and the calibers of the middle colic and ileocolic arteries. The inter-arterial distance has proven a strong correlation between all the three modalities implied (Pearson's coefficient 0.968, 0.956, 0.779, respectively), while inter-venous distances showed a weak correlation between peroperative measurements and both virtual and physical models.

conclusionThis study showed acceptable dimensional inter-arterial correlations between 3D printed models, 3D virtual models and authentic soft tissue anatomy of the central mesenteric vessels, and weaker inter-venous correlations between all the models, reflecting the highly variable nature of veins in situ.

Indexed as

Printing, Three-DimensionalAdultAgedAged, 80 and overAnatomic LandmarksAngiographyColectomyColonic NeoplasmsFemaleHumansImaging, Three-DimensionalMaleMesenteric Artery, SuperiorMesenteryMiddle AgedMultidetector Computed Tomography3-Dimensional printingColorectal surgeryImage-guided surgeryPatient-specific computational modelingPersonalized medicineSurgical anatomy

Identifiers

PMID30014328
OpenAlexW2883716350

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.