Evidence map›Paper›PMID 30443933›Full record

ArticleThe Laryngoscope2019

Real-time robotic airway measurement: An additional benefit of a novel steady-hand robotic platform.

Christopher R Razavi, Francis X Creighton, Paul R Wilkening, Joseph Peine, Russell H Taylor, Lee M Akst

Open access · greenAbstract read
In one paragraph

Article in The Laryngoscope, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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.

Christopher R RazaviDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine.ORCID 0000-0002-1616-0135
Francis X CreightonDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine.ORCID 0000-0003-3131-1162
Paul R WilkeningDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland, U.S.A.
Joseph PeineDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland, U.S.A.
Russell H TaylorDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland, U.S.A.
Lee M AkstDepartment of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine.ORCID 0000-0002-8925-0545
Johns Hopkins University · US

Funding

RESEARCH TRAINING IN OTOLARYNGOLOGYT32DC000027 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CAREY, JOHN PATRICK · 1989 to 2023
$5.5M
NIDCD NIH HHS T32 DC000027
6 · The paper itself

Abstract

objectiveDescribe the secondary capability of a robotic system to provide real-time measurements of airway dimensions with high fidelity.

methodsSeven unique phantoms of laryngotracheal stenosis (LTS) were modeled using a computer-aided design tool and were three dimensionally printed. These stenoses were of different dimensions and orientations, and some were purposefully oblique. The dimensions of the stenoses were then measured with the novel Robotic ENT (Ear, Nose, and Throat) Microsurgery System (REMS; Galen Robotics, Inc., Sunnyvale, CA) because it is capable of tool position memory in three dimensional (3D) space. Five participants (two laryngologists, two otolaryngology-head and neck surgery residents, one neurotology fellow) measured each axis of stenosis (anteroposterior, lateral, and craniocaudal) three times for each of the seven stenosis phantoms. These measurements were then compared to the known design dimensions. Mean magnitude of error (MOE) and interrater reliability (IRR) using an intraclass correlation coefficient (ICC) were then calculated.

resultsMean MOE and standard deviation for all measurements was 0.306 ± 0.247 mm. Mean MOE was 0.374 ± 0.292 mm, 0.300 ± 0.237 mm, and 0.244 ± 0.185 mm for the anteroposterior, lateral, and craniocaudal dimensions of stenosis, respectively. Eighty-two percent of all measurements had MOE < 0.5 mm. ICC was 0.945 (95% confidence interval [CI]: 0.847-0.989), 0.995 (95% CI: 0.984-0.999), and 0.993 (95% CI: 0.987-0.999) for anteroposterior, lateral, and craniocaudal dimensions, respectively, indicating excellent agreement among participants.

conclusionThe REMS can be used to reliably and accurately measure airway dimensions in 3D regardless of the orientation of stenosis. This ability may be easily extrapolated to the measurement of any airway lesion during laryngotracheal surgery. LEVEL OF EVIDENCE: 4 Laryngoscope, 129:324-329, 2019.

Indexed as

Equipment DesignHumansLaryngostenosisModels, AnatomicPrinting, Three-DimensionalReproducibility of ResultsRobotic Surgical Procedures3D-printingairway modelingRobotic surgery

Identifiers

PMID30443933
PMCPMC6344260
OpenAlexW2901896736

What OpenQuestion holds

Textmetadata
LicenceTDM
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.