Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology
Background Phase and step annotation in surgical videos is a prerequisite for surgical scene understanding and for downstream tasks like intraoperative feedback or assistance. However, most ontologies are applied on small monocentric datasets and lack external validation. To overcome these limitatio...
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| Veröffentlicht in: | Surgical endoscopy 2023-03, Vol.37 (3), p.2070-2077 |
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| creator | Lavanchy, Joël L. Gonzalez, Cristians Kassem, Hasan Nett, Philipp C. Mutter, Didier Padoy, Nicolas |
| description | Background
Phase and step annotation in surgical videos is a prerequisite for surgical scene understanding and for downstream tasks like intraoperative feedback or assistance. However, most ontologies are applied on small monocentric datasets and lack external validation. To overcome these limitations an ontology for phases and steps of laparoscopic Roux-en-Y gastric bypass (LRYGB) is proposed and validated on a multicentric dataset in terms of inter- and intra-rater reliability (inter-/intra-RR).
Methods
The proposed LRYGB ontology consists of 12 phase and 46 step definitions that are hierarchically structured. Two board certified surgeons (raters) with > 10 years of clinical experience applied the proposed ontology on two datasets: (1) StraBypass40 consists of 40 LRYGB videos from Nouvel Hôpital Civil, Strasbourg, France and (2) BernBypass70 consists of 70 LRYGB videos from Inselspital, Bern University Hospital, Bern, Switzerland.
To assess inter-RR the two raters’ annotations of ten randomly chosen videos from StraBypass40 and BernBypass70 each, were compared. To assess intra-RR ten randomly chosen videos were annotated twice by the same rater and annotations were compared.
Inter-RR was calculated using Cohen’s kappa. Additionally, for inter- and intra-RR accuracy, precision, recall, F1-score, and application dependent metrics were applied.
Results
The mean ± SD video duration was 108 ± 33 min and 75 ± 21 min in StraBypass40 and BernBypass70, respectively. The proposed ontology shows an inter-RR of 96.8 ± 2.7% for phases and 85.4 ± 6.0% for steps on StraBypass40 and 94.9 ± 5.8% for phases and 76.1 ± 13.9% for steps on BernBypass70. The overall Cohen’s kappa of inter-RR was 95.9 ± 4.3% for phases and 80.8 ± 10.0% for steps. Intra-RR showed an accuracy of 98.4 ± 1.1% for phases and 88.1 ± 8.1% for steps.
Conclusion
The proposed ontology shows an excellent inter- and intra-RR and should therefore be implemented routinely in phase and step annotation of LRYGB. |
| doi_str_mv | 10.1007/s00464-022-09745-2 |
| format | Article |
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Phase and step annotation in surgical videos is a prerequisite for surgical scene understanding and for downstream tasks like intraoperative feedback or assistance. However, most ontologies are applied on small monocentric datasets and lack external validation. To overcome these limitations an ontology for phases and steps of laparoscopic Roux-en-Y gastric bypass (LRYGB) is proposed and validated on a multicentric dataset in terms of inter- and intra-rater reliability (inter-/intra-RR).
Methods
The proposed LRYGB ontology consists of 12 phase and 46 step definitions that are hierarchically structured. Two board certified surgeons (raters) with > 10 years of clinical experience applied the proposed ontology on two datasets: (1) StraBypass40 consists of 40 LRYGB videos from Nouvel Hôpital Civil, Strasbourg, France and (2) BernBypass70 consists of 70 LRYGB videos from Inselspital, Bern University Hospital, Bern, Switzerland.
To assess inter-RR the two raters’ annotations of ten randomly chosen videos from StraBypass40 and BernBypass70 each, were compared. To assess intra-RR ten randomly chosen videos were annotated twice by the same rater and annotations were compared.
Inter-RR was calculated using Cohen’s kappa. Additionally, for inter- and intra-RR accuracy, precision, recall, F1-score, and application dependent metrics were applied.
Results
The mean ± SD video duration was 108 ± 33 min and 75 ± 21 min in StraBypass40 and BernBypass70, respectively. The proposed ontology shows an inter-RR of 96.8 ± 2.7% for phases and 85.4 ± 6.0% for steps on StraBypass40 and 94.9 ± 5.8% for phases and 76.1 ± 13.9% for steps on BernBypass70. The overall Cohen’s kappa of inter-RR was 95.9 ± 4.3% for phases and 80.8 ± 10.0% for steps. Intra-RR showed an accuracy of 98.4 ± 1.1% for phases and 88.1 ± 8.1% for steps.
Conclusion
The proposed ontology shows an excellent inter- and intra-RR and should therefore be implemented routinely in phase and step annotation of LRYGB.</description><identifier>ISSN: 0930-2794</identifier><identifier>EISSN: 1432-2218</identifier><identifier>DOI: 10.1007/s00464-022-09745-2</identifier><identifier>PMID: 36289088</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Abdominal Surgery ; Data science ; Gastric Bypass ; Gastroenterology ; Gastrointestinal surgery ; Gynecology ; Hepatology ; Human health and pathology ; Humans ; Laparoscopy ; Life Sciences ; Medicine ; Medicine & Public Health ; Obesity, Morbid - surgery ; Ontology ; Original ; Original Article ; Postoperative Complications - surgery ; Proctology ; Reproducibility of Results ; Surgery ; Treatment Outcome</subject><ispartof>Surgical endoscopy, 2023-03, Vol.37 (3), p.2070-2077</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-6116f324326b9f57ac3ac42f6893928e65c328b562cf8e93a43a9119c0ed509d3</citedby><cites>FETCH-LOGICAL-c509t-6116f324326b9f57ac3ac42f6893928e65c328b562cf8e93a43a9119c0ed509d3</cites><orcidid>0000-0003-0248-4996 ; 0000-0001-5830-8890 ; 0000-0002-7559-3328 ; 0000-0002-5010-4137</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00464-022-09745-2$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00464-022-09745-2$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,315,781,785,886,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36289088$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04080454$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lavanchy, Joël L.</creatorcontrib><creatorcontrib>Gonzalez, Cristians</creatorcontrib><creatorcontrib>Kassem, Hasan</creatorcontrib><creatorcontrib>Nett, Philipp C.</creatorcontrib><creatorcontrib>Mutter, Didier</creatorcontrib><creatorcontrib>Padoy, Nicolas</creatorcontrib><title>Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology</title><title>Surgical endoscopy</title><addtitle>Surg Endosc</addtitle><addtitle>Surg Endosc</addtitle><description>Background
Phase and step annotation in surgical videos is a prerequisite for surgical scene understanding and for downstream tasks like intraoperative feedback or assistance. However, most ontologies are applied on small monocentric datasets and lack external validation. To overcome these limitations an ontology for phases and steps of laparoscopic Roux-en-Y gastric bypass (LRYGB) is proposed and validated on a multicentric dataset in terms of inter- and intra-rater reliability (inter-/intra-RR).
Methods
The proposed LRYGB ontology consists of 12 phase and 46 step definitions that are hierarchically structured. Two board certified surgeons (raters) with > 10 years of clinical experience applied the proposed ontology on two datasets: (1) StraBypass40 consists of 40 LRYGB videos from Nouvel Hôpital Civil, Strasbourg, France and (2) BernBypass70 consists of 70 LRYGB videos from Inselspital, Bern University Hospital, Bern, Switzerland.
To assess inter-RR the two raters’ annotations of ten randomly chosen videos from StraBypass40 and BernBypass70 each, were compared. To assess intra-RR ten randomly chosen videos were annotated twice by the same rater and annotations were compared.
Inter-RR was calculated using Cohen’s kappa. Additionally, for inter- and intra-RR accuracy, precision, recall, F1-score, and application dependent metrics were applied.
Results
The mean ± SD video duration was 108 ± 33 min and 75 ± 21 min in StraBypass40 and BernBypass70, respectively. The proposed ontology shows an inter-RR of 96.8 ± 2.7% for phases and 85.4 ± 6.0% for steps on StraBypass40 and 94.9 ± 5.8% for phases and 76.1 ± 13.9% for steps on BernBypass70. The overall Cohen’s kappa of inter-RR was 95.9 ± 4.3% for phases and 80.8 ± 10.0% for steps. Intra-RR showed an accuracy of 98.4 ± 1.1% for phases and 88.1 ± 8.1% for steps.
Conclusion
The proposed ontology shows an excellent inter- and intra-RR and should therefore be implemented routinely in phase and step annotation of LRYGB.</description><subject>Abdominal Surgery</subject><subject>Data science</subject><subject>Gastric Bypass</subject><subject>Gastroenterology</subject><subject>Gastrointestinal surgery</subject><subject>Gynecology</subject><subject>Hepatology</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Laparoscopy</subject><subject>Life Sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Obesity, Morbid - surgery</subject><subject>Ontology</subject><subject>Original</subject><subject>Original Article</subject><subject>Postoperative Complications - surgery</subject><subject>Proctology</subject><subject>Reproducibility of Results</subject><subject>Surgery</subject><subject>Treatment Outcome</subject><issn>0930-2794</issn><issn>1432-2218</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kUFv1DAQhS0EotvCH-CALHGhB4M9dhz7hKqqpUgrtUJw4GS8jrNN5Y2DnazYf493Uwr0wMmS55s3b-Yh9IrRd4zS-n2mVEhBKAChuhYVgSdowQQHAsDUU7SgmlMCtRZH6DjnO1p4zarn6IhLUJoqtUDfb1IcYrYB277BmymMnfP9mDqHtzZ0jR272OPYYouDHWyK2cWhFD_H6SfxPfmG1zYf8NVusDnjPKW1Tzsc-zGGuN69QM9aG7J_ef-eoK-XF1_Or8jy-uOn87MlcRXVI5GMyZZDMS9Xuq1q67h1AlqpNNegvKwcB7WqJLhWec2t4FYzph31TRFo-An6MOsO02rjm8MSNpghdRubdibazvxb6btbs45bU07JagmsKJzOCreP-q7Olmb_RwVVVFRiu2ff3k9L8cfk82g2XXY-BNv7OGUDNegKgLKqoG8eoXdxSn25RaFUXQSVkIWCmXLlxDn59sEBo3uLtZnTNiVtc0jbQGl6_ffODy2_4y0An4FcSn3J5c_s_8j-AncktUA</recordid><startdate>20230301</startdate><enddate>20230301</enddate><creator>Lavanchy, Joël L.</creator><creator>Gonzalez, Cristians</creator><creator>Kassem, Hasan</creator><creator>Nett, Philipp C.</creator><creator>Mutter, Didier</creator><creator>Padoy, Nicolas</creator><general>Springer US</general><general>Springer Nature B.V</general><general>Springer Verlag (Germany)</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0248-4996</orcidid><orcidid>https://orcid.org/0000-0001-5830-8890</orcidid><orcidid>https://orcid.org/0000-0002-7559-3328</orcidid><orcidid>https://orcid.org/0000-0002-5010-4137</orcidid></search><sort><creationdate>20230301</creationdate><title>Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology</title><author>Lavanchy, Joël L. ; Gonzalez, Cristians ; Kassem, Hasan ; Nett, Philipp C. ; Mutter, Didier ; Padoy, Nicolas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c509t-6116f324326b9f57ac3ac42f6893928e65c328b562cf8e93a43a9119c0ed509d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Abdominal Surgery</topic><topic>Data science</topic><topic>Gastric Bypass</topic><topic>Gastroenterology</topic><topic>Gastrointestinal surgery</topic><topic>Gynecology</topic><topic>Hepatology</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Laparoscopy</topic><topic>Life Sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Obesity, Morbid - surgery</topic><topic>Ontology</topic><topic>Original</topic><topic>Original Article</topic><topic>Postoperative Complications - surgery</topic><topic>Proctology</topic><topic>Reproducibility of Results</topic><topic>Surgery</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lavanchy, Joël L.</creatorcontrib><creatorcontrib>Gonzalez, Cristians</creatorcontrib><creatorcontrib>Kassem, Hasan</creatorcontrib><creatorcontrib>Nett, Philipp C.</creatorcontrib><creatorcontrib>Mutter, Didier</creatorcontrib><creatorcontrib>Padoy, Nicolas</creatorcontrib><collection>Springer Nature OA/Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Surgical endoscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lavanchy, Joël L.</au><au>Gonzalez, Cristians</au><au>Kassem, Hasan</au><au>Nett, Philipp C.</au><au>Mutter, Didier</au><au>Padoy, Nicolas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology</atitle><jtitle>Surgical endoscopy</jtitle><stitle>Surg Endosc</stitle><addtitle>Surg Endosc</addtitle><date>2023-03-01</date><risdate>2023</risdate><volume>37</volume><issue>3</issue><spage>2070</spage><epage>2077</epage><pages>2070-2077</pages><issn>0930-2794</issn><eissn>1432-2218</eissn><abstract>Background
Phase and step annotation in surgical videos is a prerequisite for surgical scene understanding and for downstream tasks like intraoperative feedback or assistance. However, most ontologies are applied on small monocentric datasets and lack external validation. To overcome these limitations an ontology for phases and steps of laparoscopic Roux-en-Y gastric bypass (LRYGB) is proposed and validated on a multicentric dataset in terms of inter- and intra-rater reliability (inter-/intra-RR).
Methods
The proposed LRYGB ontology consists of 12 phase and 46 step definitions that are hierarchically structured. Two board certified surgeons (raters) with > 10 years of clinical experience applied the proposed ontology on two datasets: (1) StraBypass40 consists of 40 LRYGB videos from Nouvel Hôpital Civil, Strasbourg, France and (2) BernBypass70 consists of 70 LRYGB videos from Inselspital, Bern University Hospital, Bern, Switzerland.
To assess inter-RR the two raters’ annotations of ten randomly chosen videos from StraBypass40 and BernBypass70 each, were compared. To assess intra-RR ten randomly chosen videos were annotated twice by the same rater and annotations were compared.
Inter-RR was calculated using Cohen’s kappa. Additionally, for inter- and intra-RR accuracy, precision, recall, F1-score, and application dependent metrics were applied.
Results
The mean ± SD video duration was 108 ± 33 min and 75 ± 21 min in StraBypass40 and BernBypass70, respectively. The proposed ontology shows an inter-RR of 96.8 ± 2.7% for phases and 85.4 ± 6.0% for steps on StraBypass40 and 94.9 ± 5.8% for phases and 76.1 ± 13.9% for steps on BernBypass70. The overall Cohen’s kappa of inter-RR was 95.9 ± 4.3% for phases and 80.8 ± 10.0% for steps. Intra-RR showed an accuracy of 98.4 ± 1.1% for phases and 88.1 ± 8.1% for steps.
Conclusion
The proposed ontology shows an excellent inter- and intra-RR and should therefore be implemented routinely in phase and step annotation of LRYGB.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36289088</pmid><doi>10.1007/s00464-022-09745-2</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-0248-4996</orcidid><orcidid>https://orcid.org/0000-0001-5830-8890</orcidid><orcidid>https://orcid.org/0000-0002-7559-3328</orcidid><orcidid>https://orcid.org/0000-0002-5010-4137</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Abdominal Surgery Data science Gastric Bypass Gastroenterology Gastrointestinal surgery Gynecology Hepatology Human health and pathology Humans Laparoscopy Life Sciences Medicine Medicine & Public Health Obesity, Morbid - surgery Ontology Original Original Article Postoperative Complications - surgery Proctology Reproducibility of Results Surgery Treatment Outcome |
| title | Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology |
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