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Using Immersive Virtual Reality to Classify Pediatric Thoracolumbar Spine Injuries
Objective This study aimed to assess the reliability and reproducibility of the AO Spine Thoracolumbar Injury Classification System by using virtual reality (VR). We hypothesized that VR is a highly reliable and reproducible method to classify traumatic spine injuries. Methods VR 3D models were crea...
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description | Objective This study aimed to assess the reliability and reproducibility of the AO Spine Thoracolumbar Injury Classification System by using virtual reality (VR). We hypothesized that VR is a highly reliable and reproducible method to classify traumatic spine injuries. Methods VR 3D models were created from CT scans of 26 pediatric patients with thoracolumbar spine injuries. Seven orthopedic trainees were educated on the VR platform and AO Spine Thoracolumbar Injury Classification System. Classifications were summarized by primary class and subclass for both rater readings performed two weeks apart with image order randomized. Intra-observer reproducibility was quantified by Fleiss's kappa (kF) for primary classifications and Krippendorff's alpha (aK) for subclassifications along with 95% confidence intervals (CIs) for each rater and across all raters. Inter-observer reliability was quantified by kF for primary classifications and aK for subclassifications along with 95% CIs across all raters for the first read, the second read, and all reads combined. The interpretations were as follows: 0-0.2: slight; 0.2-0.4: fair; 0.4-0.6: moderate; 0.6-0.8: substantial; and >0.8: almost perfect agreement. Results A total of 364 classifications were submitted by seven raters. Intra-observer reproducibility ranged from moderate (kF=0.55) to almost perfect (kF=0.94) for primary classifications and from substantial (aK=0.68) to almost perfect (aK=0.91) for subclassifications. Reproducibility was substantial across all raters for the primary class (kF=0.71; 95% CI=0.61-9.82) and subclass (aK=0.79; 95% CI=0.69-0.86). Inter-observer reliability was substantial (kF=0.63; 95% CI=0.57-0.69) for the first read, moderate (kF=0.58; 95% CI=0.52-0.64) for the second read, and substantial (kF=0.61; 95% CI=0.56-0.65) for all reads for primary classifications. For subclassifications, inter-observer reliability was substantial (aK=0.74; 95% CI=0.58-0.83) for the first read, second read (aK=0.70; 95% CI=0.53-0.80), and all reads (aK=0.72; 95% CI=0.60-0.79). Conclusions Based on our findings, VR is a reliable and reproducible method for the classification of pediatric spine trauma, besides its ability to function as an educational tool for trainees. Further research is needed to evaluate its application for other spine conditions. |
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We hypothesized that VR is a highly reliable and reproducible method to classify traumatic spine injuries. Methods VR 3D models were created from CT scans of 26 pediatric patients with thoracolumbar spine injuries. Seven orthopedic trainees were educated on the VR platform and AO Spine Thoracolumbar Injury Classification System. Classifications were summarized by primary class and subclass for both rater readings performed two weeks apart with image order randomized. Intra-observer reproducibility was quantified by Fleiss's kappa (kF) for primary classifications and Krippendorff's alpha (aK) for subclassifications along with 95% confidence intervals (CIs) for each rater and across all raters. Inter-observer reliability was quantified by kF for primary classifications and aK for subclassifications along with 95% CIs across all raters for the first read, the second read, and all reads combined. The interpretations were as follows: 0-0.2: slight; 0.2-0.4: fair; 0.4-0.6: moderate; 0.6-0.8: substantial; and >0.8: almost perfect agreement. Results A total of 364 classifications were submitted by seven raters. Intra-observer reproducibility ranged from moderate (kF=0.55) to almost perfect (kF=0.94) for primary classifications and from substantial (aK=0.68) to almost perfect (aK=0.91) for subclassifications. Reproducibility was substantial across all raters for the primary class (kF=0.71; 95% CI=0.61-9.82) and subclass (aK=0.79; 95% CI=0.69-0.86). Inter-observer reliability was substantial (kF=0.63; 95% CI=0.57-0.69) for the first read, moderate (kF=0.58; 95% CI=0.52-0.64) for the second read, and substantial (kF=0.61; 95% CI=0.56-0.65) for all reads for primary classifications. For subclassifications, inter-observer reliability was substantial (aK=0.74; 95% CI=0.58-0.83) for the first read, second read (aK=0.70; 95% CI=0.53-0.80), and all reads (aK=0.72; 95% CI=0.60-0.79). Conclusions Based on our findings, VR is a reliable and reproducible method for the classification of pediatric spine trauma, besides its ability to function as an educational tool for trainees. Further research is needed to evaluate its application for other spine conditions.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.64851</identifier><identifier>PMID: 39156384</identifier><language>eng</language><publisher>United States: Cureus Inc</publisher><subject>Back surgery ; Classification ; Fractures ; Headsets ; Injuries ; Medical imaging ; Morphology ; Neurosurgery ; Orthopedics ; Patients ; Pediatrics ; Reproducibility ; Trauma ; Virtual reality</subject><ispartof>Curēus (Palo Alto, CA), 2024-07, Vol.16 (7), p.e64851</ispartof><rights>Copyright © 2024, Welch et al.</rights><rights>Copyright © 2024, Welch et al. This work is published under https://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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c244t-d224ec9072043068e1bb977c12044c1178dcfbbe5ba211e9d657199060ed39283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3099242753/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3099242753?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,37013,44590,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39156384$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Welch, Nicole</creatorcontrib><creatorcontrib>Montgomery, Blake K</creatorcontrib><creatorcontrib>Ross, Kirsten</creatorcontrib><creatorcontrib>Mota, Frank</creatorcontrib><creatorcontrib>Mo, Michelle</creatorcontrib><creatorcontrib>Grigoriou, Emmanouil</creatorcontrib><creatorcontrib>Tarchala, Magdalena</creatorcontrib><creatorcontrib>Roaten, John</creatorcontrib><creatorcontrib>Miller, Patricia</creatorcontrib><creatorcontrib>Hedequist, Daniel</creatorcontrib><creatorcontrib>Birch, Craig M</creatorcontrib><title>Using Immersive Virtual Reality to Classify Pediatric Thoracolumbar Spine Injuries</title><title>Curēus (Palo Alto, CA)</title><addtitle>Cureus</addtitle><description>Objective This study aimed to assess the reliability and reproducibility of the AO Spine Thoracolumbar Injury Classification System by using virtual reality (VR). We hypothesized that VR is a highly reliable and reproducible method to classify traumatic spine injuries. Methods VR 3D models were created from CT scans of 26 pediatric patients with thoracolumbar spine injuries. Seven orthopedic trainees were educated on the VR platform and AO Spine Thoracolumbar Injury Classification System. Classifications were summarized by primary class and subclass for both rater readings performed two weeks apart with image order randomized. Intra-observer reproducibility was quantified by Fleiss's kappa (kF) for primary classifications and Krippendorff's alpha (aK) for subclassifications along with 95% confidence intervals (CIs) for each rater and across all raters. Inter-observer reliability was quantified by kF for primary classifications and aK for subclassifications along with 95% CIs across all raters for the first read, the second read, and all reads combined. The interpretations were as follows: 0-0.2: slight; 0.2-0.4: fair; 0.4-0.6: moderate; 0.6-0.8: substantial; and >0.8: almost perfect agreement. Results A total of 364 classifications were submitted by seven raters. Intra-observer reproducibility ranged from moderate (kF=0.55) to almost perfect (kF=0.94) for primary classifications and from substantial (aK=0.68) to almost perfect (aK=0.91) for subclassifications. Reproducibility was substantial across all raters for the primary class (kF=0.71; 95% CI=0.61-9.82) and subclass (aK=0.79; 95% CI=0.69-0.86). Inter-observer reliability was substantial (kF=0.63; 95% CI=0.57-0.69) for the first read, moderate (kF=0.58; 95% CI=0.52-0.64) for the second read, and substantial (kF=0.61; 95% CI=0.56-0.65) for all reads for primary classifications. For subclassifications, inter-observer reliability was substantial (aK=0.74; 95% CI=0.58-0.83) for the first read, second read (aK=0.70; 95% CI=0.53-0.80), and all reads (aK=0.72; 95% CI=0.60-0.79). Conclusions Based on our findings, VR is a reliable and reproducible method for the classification of pediatric spine trauma, besides its ability to function as an educational tool for trainees. Further research is needed to evaluate its application for other spine conditions.</description><subject>Back surgery</subject><subject>Classification</subject><subject>Fractures</subject><subject>Headsets</subject><subject>Injuries</subject><subject>Medical imaging</subject><subject>Morphology</subject><subject>Neurosurgery</subject><subject>Orthopedics</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Reproducibility</subject><subject>Trauma</subject><subject>Virtual reality</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkEtLAzEUhYMottTuXEvAjQunJpnMJFlK8VEoKLV1O2QydzRlHjWZCP33Tm0VcXXPhY_D4UPonJKJEIm6McFB8JOUy4QeoSGjqYwklfz4Tx6gsfdrQgglghFBTtEgVjRJY8mHaLHytnnDs7oG5-0n4FfruqArvABd2W6LuxZPK-29Lbf4GQqrO2cNXr63Tpu2CnWuHX7Z2AbwrFkHZ8GfoZNSVx7GhztCq_u75fQxmj89zKa388gwzruoYIyDUbtNPCapBJrnSghD-58bSoUsTJnnkOSaUQqqSBNBlSIpgSJWTMYjdLXv3bj2I4Dvstp6A1WlG2iDz2KiOBdUMtajl__QdRtc06_bUYpxJpK4p673lHGt9w7KbONsrd02oyTb6c72urNv3T1-cSgNeQ3FL_wjN_4Cm3V62A</recordid><startdate>20240718</startdate><enddate>20240718</enddate><creator>Welch, Nicole</creator><creator>Montgomery, Blake K</creator><creator>Ross, Kirsten</creator><creator>Mota, Frank</creator><creator>Mo, Michelle</creator><creator>Grigoriou, Emmanouil</creator><creator>Tarchala, Magdalena</creator><creator>Roaten, John</creator><creator>Miller, Patricia</creator><creator>Hedequist, Daniel</creator><creator>Birch, Craig M</creator><general>Cureus Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20240718</creationdate><title>Using Immersive Virtual Reality to Classify Pediatric Thoracolumbar Spine Injuries</title><author>Welch, Nicole ; Montgomery, Blake K ; Ross, Kirsten ; Mota, Frank ; Mo, Michelle ; Grigoriou, Emmanouil ; Tarchala, Magdalena ; Roaten, John ; Miller, Patricia ; Hedequist, Daniel ; Birch, Craig M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c244t-d224ec9072043068e1bb977c12044c1178dcfbbe5ba211e9d657199060ed39283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Back surgery</topic><topic>Classification</topic><topic>Fractures</topic><topic>Headsets</topic><topic>Injuries</topic><topic>Medical imaging</topic><topic>Morphology</topic><topic>Neurosurgery</topic><topic>Orthopedics</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Reproducibility</topic><topic>Trauma</topic><topic>Virtual reality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Welch, Nicole</creatorcontrib><creatorcontrib>Montgomery, Blake K</creatorcontrib><creatorcontrib>Ross, Kirsten</creatorcontrib><creatorcontrib>Mota, Frank</creatorcontrib><creatorcontrib>Mo, Michelle</creatorcontrib><creatorcontrib>Grigoriou, Emmanouil</creatorcontrib><creatorcontrib>Tarchala, Magdalena</creatorcontrib><creatorcontrib>Roaten, John</creatorcontrib><creatorcontrib>Miller, Patricia</creatorcontrib><creatorcontrib>Hedequist, Daniel</creatorcontrib><creatorcontrib>Birch, Craig M</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Welch, Nicole</au><au>Montgomery, Blake K</au><au>Ross, Kirsten</au><au>Mota, Frank</au><au>Mo, Michelle</au><au>Grigoriou, Emmanouil</au><au>Tarchala, Magdalena</au><au>Roaten, John</au><au>Miller, Patricia</au><au>Hedequist, Daniel</au><au>Birch, Craig M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Immersive Virtual Reality to Classify Pediatric Thoracolumbar Spine Injuries</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><addtitle>Cureus</addtitle><date>2024-07-18</date><risdate>2024</risdate><volume>16</volume><issue>7</issue><spage>e64851</spage><pages>e64851-</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>Objective This study aimed to assess the reliability and reproducibility of the AO Spine Thoracolumbar Injury Classification System by using virtual reality (VR). We hypothesized that VR is a highly reliable and reproducible method to classify traumatic spine injuries. Methods VR 3D models were created from CT scans of 26 pediatric patients with thoracolumbar spine injuries. Seven orthopedic trainees were educated on the VR platform and AO Spine Thoracolumbar Injury Classification System. Classifications were summarized by primary class and subclass for both rater readings performed two weeks apart with image order randomized. Intra-observer reproducibility was quantified by Fleiss's kappa (kF) for primary classifications and Krippendorff's alpha (aK) for subclassifications along with 95% confidence intervals (CIs) for each rater and across all raters. Inter-observer reliability was quantified by kF for primary classifications and aK for subclassifications along with 95% CIs across all raters for the first read, the second read, and all reads combined. The interpretations were as follows: 0-0.2: slight; 0.2-0.4: fair; 0.4-0.6: moderate; 0.6-0.8: substantial; and >0.8: almost perfect agreement. Results A total of 364 classifications were submitted by seven raters. Intra-observer reproducibility ranged from moderate (kF=0.55) to almost perfect (kF=0.94) for primary classifications and from substantial (aK=0.68) to almost perfect (aK=0.91) for subclassifications. Reproducibility was substantial across all raters for the primary class (kF=0.71; 95% CI=0.61-9.82) and subclass (aK=0.79; 95% CI=0.69-0.86). Inter-observer reliability was substantial (kF=0.63; 95% CI=0.57-0.69) for the first read, moderate (kF=0.58; 95% CI=0.52-0.64) for the second read, and substantial (kF=0.61; 95% CI=0.56-0.65) for all reads for primary classifications. For subclassifications, inter-observer reliability was substantial (aK=0.74; 95% CI=0.58-0.83) for the first read, second read (aK=0.70; 95% CI=0.53-0.80), and all reads (aK=0.72; 95% CI=0.60-0.79). Conclusions Based on our findings, VR is a reliable and reproducible method for the classification of pediatric spine trauma, besides its ability to function as an educational tool for trainees. Further research is needed to evaluate its application for other spine conditions.</abstract><cop>United States</cop><pub>Cureus Inc</pub><pmid>39156384</pmid><doi>10.7759/cureus.64851</doi><oa>free_for_read</oa></addata></record> |
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subjects | Back surgery Classification Fractures Headsets Injuries Medical imaging Morphology Neurosurgery Orthopedics Patients Pediatrics Reproducibility Trauma Virtual reality |
title | Using Immersive Virtual Reality to Classify Pediatric Thoracolumbar Spine Injuries |
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