Evidence map›Paper›PMID 38381935›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2024

Development of a synchronous motion-tracking and video capture tool for flexible ureteroscopy.

Jessica Trac, Jonguk Lee, Kai-Ho Fok, Brian Carrillo, Monica Farcas

Open access · diamondAbstract read
In one paragraph

Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2024. 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
–field-weighted citation impact, top 61% 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, 0 citations in OpenAlex.

  1. 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 at 4 institutions in 2 countries.

Jessica TracDepartment of Otolaryngology-Head & Neck Surgery, University of Toronto, Toronto, ON, Canada.
Jonguk LeeInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada.
Kai-Ho FokDivision of Urology, Department of Surgery, St. Michael's Hospital, Toronto, ON, Canada.
Brian CarrilloWellSpring Research, Toronto, ON, Canada.
Monica FarcasDivision of Urology, Department of Surgery, St. Michael's Hospital, Toronto, ON, Canada.
St. Michael's Hospital · CAUniversity Health Network · CAUniversity of Toronto · CAWellspring University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHand/instrument motion-tracking in surgical simulation provides valuable data to improve psychomotor skills and can serve as a formative evaluation tool. Motion analysis has been well-studied in laparoscopic surgery; however, there are essentially no studies looking at motion-tracking for flexible ureteroscopy (fURS ), a common surgical procedure requiring hand dexterity and 3D spatial awareness. We aimed to design a synchronized motion-tracking and video capture system for fURS capable of collecting objective metrics for use in surgical skills training.

methodsMotion tracking of the ureteroscope was performed using a motion-tracking platform, inertial measurement units (IMUs), and an optical sensor. Position (x, y, z) and orientation (roll, pitch, yaw) of the ureteroscope handle, lever deflection, and translation of the scope insertion point were collected. Video capture of the operator's hands was collected with a Raspberry Pi camera. All peripherals were controlled on a Raspberry Pi 4 and synchronized to its system clock.

resultsOur system demonstrated good accuracy in detecting translation of the ureteroscope in the x- and y-axes, and yaw, pitch and roll of the ureteroscope at discrete orientations of 0, ±30, ±60, and ±90 degrees. Unique to fURS, deflection of the lever was captured by the difference in IMU static accelerations with good accuracy. The optical sensor detected translation of the ureteroscope at the insertion point with good precision and an average error of 5.51%.

conclusionsWe successfully developed a motion-tracking and video-capture system capable of collecting motion-analysis parameters unique to fURS . Future studies will focus on establishing the construct validity of this tool.

Identifiers

PMID38381935
PMCPMC11034973
OpenAlexW4390107247

What OpenQuestion holds

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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.