Three-Dimensional-Printed Liver Model Helps Learners Identify Hepatic Subsegments: A Randomized-Controlled Cross-Over Trial

Victor G. Chedid; Amika A. Kamath; John M. Knudsen; Katrin Frimannsdottir; Kathleen J. Yost; Jennifer R. Geske; Jonathan M. Morris; Timucin Taner; Jane M. Matsumoto; Patrick S. Kamath

doi:10.14309/ajg.0000000000000958

Three-Dimensional-Printed Liver Model Helps Learners Identify Hepatic Subsegments: A Randomized-Controlled Cross-Over Trial

Victor G. Chedid, Amika A. Kamath, John M. Knudsen, Katrin Frimannsdottir, Kathleen J. Yost, Jennifer R. Geske, Jonathan M. Morris, Timucin Taner, Jane M. Matsumoto, Patrick S. Kamath

Research output: Contribution to journal › Article › peer-review

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Abstract

INTRODUCTION:The purpose of this study was to find out whether 3-dimensional (3D)-printed models improved the learners' ability to identify liver segments.METHODS:A total of 116 physicians from 3 disciplines were tested in a cross-over trial at baseline and after teaching with 3D models and 2-dimensional (2D) images. Adjusted multilevel-mixed models were used to compare scores at baseline and after 3D and 2D.RESULTS:Accuracy in identifying hepatic segments was higher with 3D first than 2D (77% vs 69%; P = 0.05) and not significantly improved by a combination of 3D and 2D. Increased confidence in segment identification was highest in trainees after 3D (P = 0.04).DISCUSSION:3D-printed models facilitate learning hepatic segmental anatomy.

Original language	English (US)
Pages (from-to)	1906-1910
Number of pages	5
Journal	American Journal of Gastroenterology
Volume	115
Issue number	11
DOIs	https://doi.org/10.14309/ajg.0000000000000958
State	Published - Nov 1 2020

ASJC Scopus subject areas

Hepatology
Gastroenterology

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Chedid, V. G., Kamath, A. A., Knudsen, J. M., Frimannsdottir, K., Yost, K. J., Geske, J. R., Morris, J. M., Taner, T., Matsumoto, J. M., & Kamath, P. S. (2020). Three-Dimensional-Printed Liver Model Helps Learners Identify Hepatic Subsegments: A Randomized-Controlled Cross-Over Trial. American Journal of Gastroenterology, 115(11), 1906-1910. https://doi.org/10.14309/ajg.0000000000000958

Chedid, VG, Kamath, AA, Knudsen, JM, Frimannsdottir, K, Yost, KJ, Geske, JR, Morris, JM, Taner, T, Matsumoto, JM & Kamath, PS 2020, 'Three-Dimensional-Printed Liver Model Helps Learners Identify Hepatic Subsegments: A Randomized-Controlled Cross-Over Trial', American Journal of Gastroenterology, vol. 115, no. 11, pp. 1906-1910. https://doi.org/10.14309/ajg.0000000000000958

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title = "Three-Dimensional-Printed Liver Model Helps Learners Identify Hepatic Subsegments: A Randomized-Controlled Cross-Over Trial",

abstract = "INTRODUCTION:The purpose of this study was to find out whether 3-dimensional (3D)-printed models improved the learners' ability to identify liver segments.METHODS:A total of 116 physicians from 3 disciplines were tested in a cross-over trial at baseline and after teaching with 3D models and 2-dimensional (2D) images. Adjusted multilevel-mixed models were used to compare scores at baseline and after 3D and 2D.RESULTS:Accuracy in identifying hepatic segments was higher with 3D first than 2D (77% vs 69%; P = 0.05) and not significantly improved by a combination of 3D and 2D. Increased confidence in segment identification was highest in trainees after 3D (P = 0.04).DISCUSSION:3D-printed models facilitate learning hepatic segmental anatomy.",

author = "Chedid, {Victor G.} and Kamath, {Amika A.} and Knudsen, {John M.} and Katrin Frimannsdottir and Yost, {Kathleen J.} and Geske, {Jennifer R.} and Morris, {Jonathan M.} and Timucin Taner and Matsumoto, {Jane M.} and Kamath, {Patrick S.}",

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AU - Geske, Jennifer R.

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AB - INTRODUCTION:The purpose of this study was to find out whether 3-dimensional (3D)-printed models improved the learners' ability to identify liver segments.METHODS:A total of 116 physicians from 3 disciplines were tested in a cross-over trial at baseline and after teaching with 3D models and 2-dimensional (2D) images. Adjusted multilevel-mixed models were used to compare scores at baseline and after 3D and 2D.RESULTS:Accuracy in identifying hepatic segments was higher with 3D first than 2D (77% vs 69%; P = 0.05) and not significantly improved by a combination of 3D and 2D. Increased confidence in segment identification was highest in trainees after 3D (P = 0.04).DISCUSSION:3D-printed models facilitate learning hepatic segmental anatomy.

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Three-Dimensional-Printed Liver Model Helps Learners Identify Hepatic Subsegments: A Randomized-Controlled Cross-Over Trial

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