Evidence map›Paper›PMID 37202714›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Eye gaze metrics for skill assessment and feedback in kidney stone surgery.

Yizhou Li, Amy Reed, Nicholas Kavoussi, Jie Ying Wu

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. 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
3.2field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  2. Article
  3. HoloLensTherapeutic advances in urology
    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

4 authors at 2 institutions in 1 country.

Yizhou LiDepartment of Computer Science, Vanderbilt University, 2301 Vanderbilt Pl, Nashville, TN, 37240, USA. yizhou.li@vanderbilt.edu.ORCID http://orcid.org/0000-0001-7387-5957
Amy ReedDepartment of Urology, Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN, 37232, USA.
Nicholas KavoussiDepartment of Urology, Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN, 37232, USA.
Jie Ying WuDepartment of Computer Science, Vanderbilt University, 2301 Vanderbilt Pl, Nashville, TN, 37240, USA. jieying.wu@vanderbilt.edu.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurgical skill assessment is essential for safe operations. In endoscopic kidney stone surgery, surgeons must perform a highly skill-dependent mental mapping from the pre-operative scan to the intraoperative endoscope image. Poor mental mapping can lead to incomplete exploration of the kidney and high reoperation rates. Yet there are few objective ways to evaluate competency. We propose to use unobtrusive eye-gaze measurements in the task space to evaluate skill and provide feedback.

methodsWe capture the surgeons' eye gaze on the surgical monitor with the Microsoft Hololens 2. To enable stable and accurate gaze detection, we develop a calibration algorithm to refine the eye tracking of the Hololens. In addition, we use a QR code to locate the eye gaze on the surgical monitor. We then run a user study with three expert and three novice surgeons. Each surgeon is tasked to locate three needles representing kidney stones in three different kidney phantoms.

resultsWe find that experts have more focused gaze patterns. They complete the task faster, have smaller total gaze area, and the gaze fewer times outside the area of interest. While fixation to non-fixation ratio did not show significant difference in our findings, tracking the ratio over time shows different patterns between novices and experts.

conclusionWe show that a non-negligible difference holds between novice and expert surgeons' gaze metrics in kidney stone identification in phantoms. Expert surgeons demonstrate more targeted gaze throughout a trial, indicating their higher level of proficiency. To improve the skill acquisition process for novice surgeons, we suggest providing sub-task specific feedback. This approach presents an objective and non-invasive method to assess surgical competence.

Indexed as

Fixation, OcularKidney CalculiClinical CompetenceEye MovementsFeedbackHumansKidneyTask Performance and AnalysisEye trackingKidney stone surgerySurgical skill evaluationSurgical training

Identifiers

PMID37202714
OpenAlexW4377013507

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.