Evidence map›Paper›PMID 31783631›Full record

ReviewSensors (Basel, Switzerland)2019

Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.

Jan Kubicek, Filip Tomanec, Martin Cerny, Dominik Vilimek, Martina Kalova, David Oczka

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

25 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  13. Review
  14. The current status and future prospects for molecular imaging-guided precision surgery.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    Review
  15. Article
  16. The Surgical Treatment of Osteoarthritis.Life (Basel, Switzerland) · 2022
    Review
  17. Article
  18. Article
  19. Smart sensor implant technology in total knee arthroplasty.Journal of clinical orthopaedics and trauma · 2021
    Article
  20. 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

6 authors at 1 institution in 1 country.

Jan KubicekDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 708 00 Ostrava-Poruba, Czech Republic.
Filip TomanecDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 708 00 Ostrava-Poruba, Czech Republic.
Martin CernyDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 708 00 Ostrava-Poruba, Czech Republic.ORCID 0000-0002-8893-2587
Dominik VilimekDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 708 00 Ostrava-Poruba, Czech Republic.
Martina KalovaDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 708 00 Ostrava-Poruba, Czech Republic.
David OczkaDepartment of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, FEECS, 708 00 Ostrava-Poruba, Czech Republic.
VSB - Technical University of Ostrava · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation systems and surgical tools. This paper brings a comprehensive review of recent trends and possibilities of CAOS systems. There are three types of the surgical planning systems, including: systems based on the volumetric images (computer tomography (CT), magnetic resonance imaging (MRI) or ultrasound images), further systems utilize either 2D or 3D fluoroscopic images, and the last one utilizes the kinetic information about the joints and morphological information about the target bones. This complex review is focused on three fundamental aspects of CAOS systems: their essential components, types of CAOS systems, and mechanical tools used in CAOS systems. In this review, we also outline the possibilities for using ultrasound computer-assisted orthopedic surgery (UCAOS) systems as an alternative to conventionally used CAOS systems.

Indexed as

HumansImaging, Three-DimensionalMusculoskeletal DiseasesOrthopedic ProceduresRoboticsSurgery, Computer-AssistedTomography, X-Ray ComputedCAOSfluoroscopic navigationimage-based navigationimageless navigationmedical image processing

Identifiers

PMID31783631
PMCPMC6929084
OpenAlexW2990641478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.