Evidence map›Paper›PMID 33613005›Full record

ArticleJournal of orthopaedics

Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries.

Guangyu He, Vamiq M Mustahsan, Michael R Bielski, Imin Kao, Fazel A Khan

Abstract read
In one paragraph

Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

  1. Article
  2. Article
  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

5 authors.

Guangyu HeDepartment of Mechanical Engineering, Stony Brook University, Stony Brook, NY, USA.
Vamiq M MustahsanDepartment of Mechanical Engineering, Stony Brook University, Stony Brook, NY, USA.
Michael R BielskiCenter for Biotechnology, Stony Brook University, NY, USA.
Imin KaoDepartment of Mechanical Engineering, Stony Brook University, Stony Brook, NY, USA.
Fazel A KhanDepartment of Orthopedics, Stony Brook University Hospital, Stony Brook, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComputer- and robotic-assisted technologies have recently been introduced into orthopedic surgery to improve accuracy. Each requires intraoperative "bone registration," but existing methods are time consuming, often inaccurate, and/or require bulky and costly equipment that produces substantial radiation.

methodsWe developed a novel method of bone registration using a compact 3D structured light surface scanner that can scan thousands of points simultaneously without any ionizing radiation.Visible light is projected in a specific pattern onto a 3 × 3 cm

resultsOur technique demonstrated a registration accuracy of 0.44 ± 0.22 mm. This compared favorably with literature-reported values of 0.68 ± 0.14 mm (

conclusionWe have developed a novel method of bone registration for computer and robotic-assisted surgery using 3D surface scanning technology that is rapid, compact, and radiation-free. We have demonstrated increased accuracy compared to existing methods (using historical controls).

Indexed as

Bone registrationComputer-assist surgeryRobot-assist surgeryStructured-light ScanningSurgical technique

Identifiers

PMID33613005
PMCPMC7873346

What OpenQuestion holds

Textmetadata
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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.