Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity.
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| Title: | Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity. |
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| Authors: | Song, Jaeeun1, Ock, Junhyeok2, Kim, Wook-Jong1, Park, Yong-Seok1 yongparkanesth@gmail.com, Kim, Namkug2,3 namkugkim@gmail.com, Kim, Sung-Hoon1 |
| Source: | Journal of Medical Systems. 6/3/2025, Vol. 49 Issue 1, p1-12. 12p. |
| Subjects: | Medical education, Statistical correlation, Pearson correlation (Statistics), Structural models, T-test (Statistics), Research funding, Computed tomography, Educational outcomes, Statistical sampling, Entry level employees, Teaching methods, Descriptive statistics, Mann Whitney U Test, Longitudinal method, Crossover trials, Research, Analysis of variance, Cricothyrotomy, Data analysis software, Obesity, Time, Patients' attitudes, Regression analysis |
| Abstract: | This study aimed to enhance cricothyroidotomy training for novice practitioners using three-dimensional-printed patient-specific models based on computed tomography images of a patient with obesity, evaluate these models compared to conventional training phantoms, and suggest possible effective training methods. A prospective, randomised crossover study was conducted with 30 medical students with no prior cricothyroidotomy experience. Participants performed the procedure on a conventional and a patient-specific model. Performance was assessed using time, visual inspections, and a three-dimensional scanner to evaluate the accuracy of the cricothyroidotomy simulation. The correlation between total time and checklist times for procedural step skills was analysed. Furthermore, a post-study survey was conducted to evaluate participants' perceptions of the realism and utility of both simulators. Patient-specific simulators required a longer time (18.63 ± 6.96 s) to confirm tracheal position compared to conventional simulators (15.28 ± 6.96 s; p = 0.034). Conversely, conventional simulators required a longer time (44.86 ± 27.56 s) to intubate than patient-specific simulators (27.96 ± 9.73 s; p < 0.001). Patient-specific simulators exhibited a greater deviation from the intended puncture site (17.14 ± 8.03 mm) compared to conventional simulators (2.95 ± 1.25 mm; p < 0.001), despite high visual success rates for both models. Survey results showed significantly higher ratings for the patient-specific simulator in terms of fidelity, utility, and special features (p < 0.001). This study assessed both time and accuracy in evaluating and enhancing training and procedural outcomes, being the first to incorporate a three-dimensional scanner into assessing outcomes. The findings, along with positive participant feedback from the post-study survey, emphasise the need for specialised training programmes incorporating a three-dimensional-printed, patient-specific models that reflect challenging scenarios particularly involving patients with obesity. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 185648668 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Song%2C+Jaeeun%22">Song, Jaeeun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ock%2C+Junhyeok%22">Ock, Junhyeok</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Wook-Jong%22">Kim, Wook-Jong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Park%2C+Yong-Seok%22">Park, Yong-Seok</searchLink><relatesTo>1</relatesTo><i> yongparkanesth@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Namkug%22">Kim, Namkug</searchLink><relatesTo>2,3</relatesTo><i> namkugkim@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Sung-Hoon%22">Kim, Sung-Hoon</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Systems%22">Journal of Medical Systems</searchLink>. 6/3/2025, Vol. 49 Issue 1, p1-12. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Medical+education%22">Medical education</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+models%22">Structural models</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Computed+tomography%22">Computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+outcomes%22">Educational outcomes</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Entry+level+employees%22">Entry level employees</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Mann+Whitney+U+Test%22">Mann Whitney U Test</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Crossover+trials%22">Crossover trials</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Cricothyrotomy%22">Cricothyrotomy</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Obesity%22">Obesity</searchLink><br /><searchLink fieldCode="DE" term="%22Time%22">Time</searchLink><br /><searchLink fieldCode="DE" term="%22Patients'+attitudes%22">Patients' attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study aimed to enhance cricothyroidotomy training for novice practitioners using three-dimensional-printed patient-specific models based on computed tomography images of a patient with obesity, evaluate these models compared to conventional training phantoms, and suggest possible effective training methods. A prospective, randomised crossover study was conducted with 30 medical students with no prior cricothyroidotomy experience. Participants performed the procedure on a conventional and a patient-specific model. Performance was assessed using time, visual inspections, and a three-dimensional scanner to evaluate the accuracy of the cricothyroidotomy simulation. The correlation between total time and checklist times for procedural step skills was analysed. Furthermore, a post-study survey was conducted to evaluate participants' perceptions of the realism and utility of both simulators. Patient-specific simulators required a longer time (18.63 ± 6.96 s) to confirm tracheal position compared to conventional simulators (15.28 ± 6.96 s; p = 0.034). Conversely, conventional simulators required a longer time (44.86 ± 27.56 s) to intubate than patient-specific simulators (27.96 ± 9.73 s; p < 0.001). Patient-specific simulators exhibited a greater deviation from the intended puncture site (17.14 ± 8.03 mm) compared to conventional simulators (2.95 ± 1.25 mm; p < 0.001), despite high visual success rates for both models. Survey results showed significantly higher ratings for the patient-specific simulator in terms of fidelity, utility, and special features (p < 0.001). This study assessed both time and accuracy in evaluating and enhancing training and procedural outcomes, being the first to incorporate a three-dimensional scanner into assessing outcomes. The findings, along with positive participant feedback from the post-study survey, emphasise the need for specialised training programmes incorporating a three-dimensional-printed, patient-specific models that reflect challenging scenarios particularly involving patients with obesity. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10916-025-02209-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1 Subjects: – SubjectFull: Medical education Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Pearson correlation (Statistics) Type: general – SubjectFull: Structural models Type: general – SubjectFull: T-test (Statistics) Type: general – SubjectFull: Research funding Type: general – SubjectFull: Computed tomography Type: general – SubjectFull: Educational outcomes Type: general – SubjectFull: Statistical sampling Type: general – SubjectFull: Entry level employees Type: general – SubjectFull: Teaching methods Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Mann Whitney U Test Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Crossover trials Type: general – SubjectFull: Research Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Cricothyrotomy Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Obesity Type: general – SubjectFull: Time Type: general – SubjectFull: Patients' attitudes Type: general – SubjectFull: Regression analysis Type: general Titles: – TitleFull: Enhancing Cricothyroidotomy Training for Novices Using Three-Dimensional-Printed Patient-Specific Models of a Patient with Obesity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Song, Jaeeun – PersonEntity: Name: NameFull: Ock, Junhyeok – PersonEntity: Name: NameFull: Kim, Wook-Jong – PersonEntity: Name: NameFull: Park, Yong-Seok – PersonEntity: Name: NameFull: Kim, Namkug – PersonEntity: Name: NameFull: Kim, Sung-Hoon IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 06 Text: 6/3/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01485598 Numbering: – Type: volume Value: 49 – Type: issue Value: 1 Titles: – TitleFull: Journal of Medical Systems Type: main |
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