Evidence map›Paper›PMID 36976421›Full record

ArticleSurgical endoscopy2023

Tracking and evaluating motion skills in laparoscopy with inertial sensors.

Christian Heiliger, Dorian Andrade, Christian Geister, Alexander Winkler, Khaled Ahmed, Alessandra Deodati, Viktor H Ehrlich V Treuenstätt, Jens Werner, Andreas Eursch, Konrad Karcz and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Internet of Things in Medical Education: A Systematic Mapping Review.Medical journal of the Islamic Republic of Iran · 2025
    Review
  6. Article
  7. Development of a synchronous motion-tracking and video capture tool for flexible ureteroscopy.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    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

11 authors at 3 institutions in 1 country.

Christian Heiliger *Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0002-2549-2924
Dorian Andrade *Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0001-5423-3238
Christian GeisterDepartment of Mechanical, Automotive and Aeronautical Engineering, University of Applied Sciences, Munich, Germany.
Alexander WinklerDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0003-4896-7918
Khaled AhmedDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0003-0779-0722
Alessandra DeodatiDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0002-4714-1308
Viktor H Ehrlich V TreuenstättDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0003-0824-6841
Jens WernerDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.
Andreas EurschDepartment of Mechanical, Automotive and Aeronautical Engineering, University of Applied Sciences, Munich, Germany.
Konrad KarczDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany.ORCID 0000-0002-4711-3630
Alexander FrankDepartment of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University (LMU) Hospital, 81377, Munich, Germany. Alexander.Frank@med.uni-muenchen.de.ORCID 0000-0001-6909-3311
Ludwig-Maximilians-Universität München · DEMunich University of Applied Sciences · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of surgical instrument motion is applicable in surgical skill assessment and monitoring of the learning progress in laparoscopy. Current commercial instrument tracking technology (optical or electromagnetic) has specific limitations and is expensive. Therefore, in this study, we apply inexpensive, off-the-shelf inertial sensors to track laparoscopic instruments in a training scenario.

methodsWe calibrated two laparoscopic instruments to the inertial sensor and investigated its accuracy on a 3D-printed phantom. In a user study during a one-week laparoscopy training course with medical students and physicians, we then documented and compared the training effect in laparoscopic tasks on a commercially available laparoscopy trainer (Laparo Analytic, Laparo Medical Simulators, Wilcza, Poland) and the newly developed tracking setup.

resultsEighteen participants (twelve medical students and six physicians) participated in the study. The student subgroup showed significantly poorer results for the count of swings (CS) and count of rotations (CR) at the beginning of the training compared to the physician subgroup (p = 0.012 and p = 0.042). After training, the student subgroup showed significant improvements in the rotatory angle sum, CS, and CR (p = 0.025, p = 0.004 and p = 0.024). After training, there were no significant differences between medical students and physicians. There was a strong correlation between the measured learning success (LS) from the data of our inertial measurement unit system (LS

conclusionIn the current study, we observed a good and valid performance of inertial measurement units as a possible tool for instrument tracking and surgical skill assessment. Moreover, we conclude that the sensor can meaningfully examine the learning progress of medical students in an ex-vivo setting.

Indexed as

LaparoscopyPhysiciansClinical CompetenceHumansLearningMotor SkillsInertial sensorsLaparoscopyMotion trackingSurgical training

Identifiers

PMID36976421
PMCPMC10322950
OpenAlexW4361190497

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.