Evaluation of suturing performance in general surgery and ocular microsurgery by combining computer vision-based software and distributed fiber optic strain sensors: a proof-of-concept

Handelman, Amir; Keshet, Yariv; Livny, Eitan; Barkan, Refael; Nahum, Yoav; Tepper, R.

doi:10.1007/s11548-020-02187-y

Cited by 8 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This suggests that the Xception model was particularly effective at correctly identifying and classifying suture images. There have been very less methods proposed in the literature [ [3] , [4] , [5] ] for evaluating suture images and suture performance. These methods used computer vision-based software to evaluate the suture performance.…”

Section: Discussionmentioning

confidence: 99%

“…They believed that this sensor, embedded in an artificial skin simulator, would enhance the acquisition of surgical skills, particularly in terms of sensory training. Handelmann et al used a combination of computer vision-based software and fiber optic strain sensors to evaluate suture performance in the fields of general surgery and eye surgery [ 5 ]. The suture quality was evaluated using computer vision software, while the suture flow was assessed based on the voltage measurement of an optical fiber placed near the wound.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deep learning based suture training system

Mansour,

Cumak,

Kutlu

et al. 2023

Surgery Open Science

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deep learning based suture training system

Mansour,

Cumak,

Kutlu

et al. 2023

Surgery Open Science

View full text Add to dashboard Cite

“…Quantitative measurements are often restricted to suture materials themselves, suture tension, [ 166 ] or to suture retention devices for skin, such as the Hemiguard. [ 167 ] They also often focus on surgical techniques [ 168 ] and are variable between both operator and the tissue in question. [ 169 ] Qualitative assessment of novel materials and stromal constructs “handleability” from skilled surgical staff are often relied on by researchers internally, limiting how this data can be extrapolated to other materials and research.…”

Section: Discussionmentioning

confidence: 99%

Mechanical Properties of Bioengineered Corneal Stroma

Formisano

Putten

Grant

et al. 2021

Adv Healthcare Materials

View full text Add to dashboard Cite

For the majority of patients with severe corneal injury or disease, corneal transplantation is the only suitable treatment option. Unfortunately, the demand for donor corneas greatly exceeds the availability. To overcome shortage issues, a myriad of bioengineered constructs have been developed as mimetics of the corneal stroma over the last few decades. Despite the sheer number of bioengineered stromas developed , these implants fail clinical trials exhibiting poor tissue integration and adverse effects in vivo. Such shortcomings can partially be ascribed to poor biomechanical performance. In this review, existing approaches for bioengineering corneal stromal constructs and their mechanical properties are described. The information collected in this review can be used to critically analyze the biomechanical properties of future stromal constructs, which are often overlooked, but can determine the failure or success of corresponding implants.

show abstract

“…Other automated feedback tools have been described in ophthalmic surgery, are not yet validated: optic fiber on a patch to be pressed and pierced by wound stitches for strain measurement and anterior segment optical coherence tomography real-time feedback during procedures involving the anterior segment of the eye. 21 22 …”

Section: Discussionmentioning

confidence: 99%

Resident Skills Assessment in Corneal Suturing: A Comprehensive Review of Currently Proposed Educational Programs and Evaluation Tools

Dormegny

Neumann²,

Lejay

et al. 2021

Journal of Academic Ophthalmology

View full text Add to dashboard Cite

Purpose This study aimed to perform a comprehensive review of publications proposing educational programs for resident skills assessment in corneal suturing. Methods An extensive online article search in PubMed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PISMA) reporting guidelines was performed to identify prospective comparative studies or prospective before/after studies published up to March 2021 and reporting the assessment of ophthalmology residents' skills in corneal suturing during dedicated training sessions. Results Three studies were identified for review. The first reported the efficiency of an electromagnetic tracking system placed on the surgeon's fingers coupled with a computer analysis of movements and time to identify surgeons with different backgrounds in corneal suturing. The second reported the efficiency of the reference system in assessing the improvement of corneal suturing conducted by residents after a training session, with video-based assessment for economy and confidence of movement, limiting tissue damage and precision of operative technique, reviewed by blind assessors. The third proposed an innovative remote corneal suturing training method using Zoom for direct feedback to the residents. The stitch quality was assessed for length, depth, radiality, and tension. The results were similar when compared with a group of residents without feedback. Conclusion This review underlines the rarity and disparity of available tools for corneal suturing assessment, justifying the need for more complete models to be designed. These should consider body ergonomics and stitch quality and time. Comparative studies involving novices and attendings may provide reliable evaluation of existing gaps and specific metrics to target, helping residents to approach their superiors' experience.

show abstract

Evaluation of suturing performance in general surgery and ocular microsurgery by combining computer vision-based software and distributed fiber optic strain sensors: a proof-of-concept

Cited by 8 publications

References 20 publications

Deep learning based suture training system

Deep learning based suture training system

Mechanical Properties of Bioengineered Corneal Stroma

Resident Skills Assessment in Corneal Suturing: A Comprehensive Review of Currently Proposed Educational Programs and Evaluation Tools

Contact Info

Product

Resources

About