Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills
<h3>Objective</h3><p dir="ltr">To objectively evaluate technical skill acquisition in hypospadias repair procedures during surgical training using noninvasive wearable sensor technology. </p><h3>Methods</h3><p dir="ltr">We combined subjec...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , , , , , , , |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513540453302272 |
|---|---|
| author | Tariq Abbas (368053) |
| author2 | Sibel Tiryaki (18180436) Ali Tekin (22155874) Nicolas Fernandez (1664728) Mohamed Fawzy (10724622) Ibrahim Ulman (20487140) Alp Numanoglu (10092948) Ahmed Hadidi (18180439) Mansour Ali (11247783) Iqbal Hassan (22155274) Muhammad Chowdhury (3664999) |
| author2_role | author author author author author author author author author author |
| author_facet | Tariq Abbas (368053) Sibel Tiryaki (18180436) Ali Tekin (22155874) Nicolas Fernandez (1664728) Mohamed Fawzy (10724622) Ibrahim Ulman (20487140) Alp Numanoglu (10092948) Ahmed Hadidi (18180439) Mansour Ali (11247783) Iqbal Hassan (22155274) Muhammad Chowdhury (3664999) |
| author_role | author |
| dc.creator.none.fl_str_mv | Tariq Abbas (368053) Sibel Tiryaki (18180436) Ali Tekin (22155874) Nicolas Fernandez (1664728) Mohamed Fawzy (10724622) Ibrahim Ulman (20487140) Alp Numanoglu (10092948) Ahmed Hadidi (18180439) Mansour Ali (11247783) Iqbal Hassan (22155274) Muhammad Chowdhury (3664999) |
| dc.date.none.fl_str_mv | 2025-01-10T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.urology.2024.09.013 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Hypospadias_Reconstruction_Training_Development_of_an_Ex-Vivo_Model_for_Objective_Evaluation_of_Surgical_Skills/30024322 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering Hypospadias repair Surgical training Electromyography (EMG) Wearable sensors Objective skill assessment Machine learning |
| dc.title.none.fl_str_mv | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Objective</h3><p dir="ltr">To objectively evaluate technical skill acquisition in hypospadias repair procedures during surgical training using noninvasive wearable sensor technology. </p><h3>Methods</h3><p dir="ltr">We combined subjective video evaluations with objective electromyography (EMG) measurements in a hands-on hypospadias training course. Surgeons wore wireless EMG and accelerometer sensors on their dominant hand while performing tasks on ex-vivo cadaveric calf penises. The study focused on 4 skills as follows: urethral mobilization, dorsal inlay graft harvest/implantation, meatal-based flap urethroplasty, and dorsal plication. Machine learning techniques analyzed muscle activation patterns and attributes for assessing surgical precision. </p><h3>Results</h3><p dir="ltr">The course included 18 participants (10 female, 8 males; average age 40.18 ± 8.46 years) categorized as novice (n = 10, <3 years’ experience), intermediate (n = 5, 3-5 years), and expert (n = 3, >5 years). Video evaluations did not reveal significant differences due to short-term training. However, EMG measurements showed significant reductions in average EMG power, total time, dominant frequency, and cumulative muscle workload after training. Additionally, the mean power spectral density of the EMG signal decreased notably post-training. </p><h3>Conclusion</h3><p dir="ltr">This study presents a structured approach for hypospadias training and highlights the effectiveness of wearable sensor technology for objective skill assessment. While video evaluations did not detect significant changes, EMG data provided measurable differences in skill acquisition, suggesting that wearable sensors could enhance objective evaluations of surgical proficiency in residency programs.</p><h2>Other Information</h2><p dir="ltr">Published in: Urology<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.urology.2024.09.013" target="_blank">https://dx.doi.org/10.1016/j.urology.2024.09.013</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c2315745ca80c466b854cd0ca6714c0a |
| identifier_str_mv | 10.1016/j.urology.2024.09.013 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30024322 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical SkillsTariq Abbas (368053)Sibel Tiryaki (18180436)Ali Tekin (22155874)Nicolas Fernandez (1664728)Mohamed Fawzy (10724622)Ibrahim Ulman (20487140)Alp Numanoglu (10092948)Ahmed Hadidi (18180439)Mansour Ali (11247783)Iqbal Hassan (22155274)Muhammad Chowdhury (3664999)Biomedical and clinical sciencesClinical sciencesEngineeringBiomedical engineeringHypospadias repairSurgical trainingElectromyography (EMG)Wearable sensorsObjective skill assessmentMachine learning<h3>Objective</h3><p dir="ltr">To objectively evaluate technical skill acquisition in hypospadias repair procedures during surgical training using noninvasive wearable sensor technology. </p><h3>Methods</h3><p dir="ltr">We combined subjective video evaluations with objective electromyography (EMG) measurements in a hands-on hypospadias training course. Surgeons wore wireless EMG and accelerometer sensors on their dominant hand while performing tasks on ex-vivo cadaveric calf penises. The study focused on 4 skills as follows: urethral mobilization, dorsal inlay graft harvest/implantation, meatal-based flap urethroplasty, and dorsal plication. Machine learning techniques analyzed muscle activation patterns and attributes for assessing surgical precision. </p><h3>Results</h3><p dir="ltr">The course included 18 participants (10 female, 8 males; average age 40.18 ± 8.46 years) categorized as novice (n = 10, <3 years’ experience), intermediate (n = 5, 3-5 years), and expert (n = 3, >5 years). Video evaluations did not reveal significant differences due to short-term training. However, EMG measurements showed significant reductions in average EMG power, total time, dominant frequency, and cumulative muscle workload after training. Additionally, the mean power spectral density of the EMG signal decreased notably post-training. </p><h3>Conclusion</h3><p dir="ltr">This study presents a structured approach for hypospadias training and highlights the effectiveness of wearable sensor technology for objective skill assessment. While video evaluations did not detect significant changes, EMG data provided measurable differences in skill acquisition, suggesting that wearable sensors could enhance objective evaluations of surgical proficiency in residency programs.</p><h2>Other Information</h2><p dir="ltr">Published in: Urology<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.urology.2024.09.013" target="_blank">https://dx.doi.org/10.1016/j.urology.2024.09.013</a></p>2025-01-10T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.urology.2024.09.013https://figshare.com/articles/journal_contribution/Hypospadias_Reconstruction_Training_Development_of_an_Ex-Vivo_Model_for_Objective_Evaluation_of_Surgical_Skills/30024322CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300243222025-01-10T09:00:00Z |
| spellingShingle | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills Tariq Abbas (368053) Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering Hypospadias repair Surgical training Electromyography (EMG) Wearable sensors Objective skill assessment Machine learning |
| status_str | publishedVersion |
| title | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| title_full | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| title_fullStr | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| title_full_unstemmed | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| title_short | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| title_sort | Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills |
| topic | Biomedical and clinical sciences Clinical sciences Engineering Biomedical engineering Hypospadias repair Surgical training Electromyography (EMG) Wearable sensors Objective skill assessment Machine learning |