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Quantitative assessment of laparoscopic camera navigation skill: a retrospective cross-sectional study.

Publication ,  Journal Article
Lindstrom Haughey, A; Barter, S; Reid, C; Thornton, S; Zani, S; Jackson, KL; Mann, B
Published in: Surg Endosc
December 23, 2025

OBJECTIVE: To evaluate whether a low-cost, automated tool using trajectory-based metrics and real-time computer vision can objectively assess laparoscopic camera navigation (LCN) skill and distinguish between levels of surgical experience. Laparoscopic camera navigation (LCN) is essential to the safety and success of minimally invasive surgery. Despite its importance, LCN is often overlooked in formal training and lacks standardized assessment methods. Existing tools are labor-intensive, subjective, and not scalable, creating a need for efficient, objective evaluation strategies. METHODS: This cross-sectional observational validation study was conducted from January to April 2025 in a single-site academic surgical training laboratory. Fifty-nine participants (6 expert surgeons, 12 senior residents, 26 junior residents, and 15 novices) completed a standardized LCN task using a custom-designed maze and a 30° laparoscope in a bench-top trainer. Real-time computer vision detected targets, while an electromagnetic tracking system recorded the laparoscope's trajectory. Five automated performance metrics were collected: space coverage, dimensionless jerk, rotational smoothness, idle time, and total task time. A principal component analysis (PCA) was used to generate a composite performance score (0-100). RESULTS: All participants completed the task. Experts demonstrated lower space coverage (121 ± 31 cm2) and shorter completion times (163 ± 59 s) compared with novices (205 ± 67 cm2; 497 ± 133 s). Experts also outperformed novices in jerk, rotational smoothness, and idle time metrics. PCA-derived scores were significantly higher for experts (92 ± 3) than novices (34 ± 24), with all metrics showing statistically significant differences (p < .005). CONCLUSIONS: This automated, low-cost tool reliably quantified LCN skill across training levels using interpretable metrics. Its objectivity and scalability support integration into surgical education for formative feedback and standardized assessment.

Duke Scholars

Published In

Surg Endosc

DOI

EISSN

1432-2218

Publication Date

December 23, 2025

Location

Germany

Related Subject Headings

  • Surgery
  • 3202 Clinical sciences
  • 1103 Clinical Sciences
 

Citation

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Lindstrom Haughey, A., Barter, S., Reid, C., Thornton, S., Zani, S., Jackson, K. L., & Mann, B. (2025). Quantitative assessment of laparoscopic camera navigation skill: a retrospective cross-sectional study. Surg Endosc. https://doi.org/10.1007/s00464-025-12498-3
Lindstrom Haughey, Annika, Shannon Barter, Cameron Reid, Steven Thornton, Sabino Zani, Katharine Louise Jackson, and Brian Mann. “Quantitative assessment of laparoscopic camera navigation skill: a retrospective cross-sectional study.Surg Endosc, December 23, 2025. https://doi.org/10.1007/s00464-025-12498-3.
Lindstrom Haughey A, Barter S, Reid C, Thornton S, Zani S, Jackson KL, et al. Quantitative assessment of laparoscopic camera navigation skill: a retrospective cross-sectional study. Surg Endosc. 2025 Dec 23;
Lindstrom Haughey, Annika, et al. “Quantitative assessment of laparoscopic camera navigation skill: a retrospective cross-sectional study.Surg Endosc, Dec. 2025. Pubmed, doi:10.1007/s00464-025-12498-3.
Lindstrom Haughey A, Barter S, Reid C, Thornton S, Zani S, Jackson KL, Mann B. Quantitative assessment of laparoscopic camera navigation skill: a retrospective cross-sectional study. Surg Endosc. 2025 Dec 23;
Journal cover image

Published In

Surg Endosc

DOI

EISSN

1432-2218

Publication Date

December 23, 2025

Location

Germany

Related Subject Headings

  • Surgery
  • 3202 Clinical sciences
  • 1103 Clinical Sciences