3D-Printed Liver Biomodels and Problem-Based Learning for Teaching Hepatobiliary Pathological Anatomy.
Abstract
The teaching of pathological anatomy is facing increasingly limited access to real anatomical material, which has led to the incorporation of digital modelling and 3D printing technologies as a complementary teaching resource. Objective: To evaluate the effect of a combined teaching strategy, which links the design and production of 3D-printed liver biomodels by the students themselves with their application through Problem-Based Learning (PBL), compared with traditional lecture-based teaching. In addition, the study analysed the technological acceptance of the process of designing and producing the biomodels and its relationship with academic performance among fourth-semester medical students at the National University of Chimborazo (Ecuador). Methods: A quasi-experimental pre-test–post-test study was conducted with an experimental group (n=40) and a control group (n=32), comprising 72 students in total. Under the guidance of a tutor, students in the experimental group segmented and designed, using DICOM images from a patient with confirmed liver cirrhosis, a biomodel of the cirrhotic liver and, through digital post-processing of the same case, a biomodel of the healthy liver; both were produced using FDM printing with PLA and were used in the classroom within a problem-based learning (PBL) context. A Knowledge Test and the Technology Acceptance Model (TAM) questionnaire were used, the latter relating specifically to the process of designing and producing the 3D biomodels. Results: There was no difference between the groups in the pre-test (p=0.908). The experimental group showed greater learning gain than the control group (7.79 versus 5.58 points) and a high level of technological acceptance of the design and fabrication process, with no significant correlation with academic performance, possibly due to a marked ceiling effect in the post-test. Conclusion: The combination of 3D liver biomodels and PBL was associated with better academic performance than traditional teaching, although high technological acceptance was not related to that performance. As the quasi-experimental design does not allow the effect of the three-dimensional resource to be separated from that of the active methodology, the improvement cannot be attributed in isolation to 3D printing, but rather to both components together (3D-ABP).
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References
1. Suárez-Escudero JC, Posada-Jurado MC, Bedoya-Muñoz LJ. Enseñar y aprender anatomía: modelos pedagógicos, historia, presente y tendencias. Acta Med Colomb. 2020, 45(4), 1-8. https://doi.org/10.36104/amc.2020.1898
2. Huynh N, Burgess A, Wing L, Mellis C. Anatomy by whole body dissection as an elective: student outcomes. J Surg Educ. 2021, 78(2), 492-501. https://doi.org/10.1016/j.jsurg.2020.07.041
3. Fahrni S, Sabatasso S. 3D modelling in anatomy teaching: state of the art and pilot investigations for its application. Transl Res Anat. 2025, 41, 100444. https://doi.org/10.1016/j.tria.2025.100444
4. McMenamin PG, Hussey D, Chin D, Alam W, Quayle MR, Coupland SE, et al. The reproduction of human pathology specimens using three-dimensional (3D) printing technology for teaching purposes. Med Teach. 2021, 43(2), 189-197. https://doi.org/10.1080/0142159X.2020.1837357
5. Xie G, Wang T, Fu H, Liu D, Deng L, Zheng X, et al. The role of three-dimensional printing models in medical education: a systematic review and meta-analysis of randomized controlled trials. BMC Med Educ. 2025, 25, 1-14. https://doi.org/10.1186/s12909-025-07187-7
6. Bao G, Yang P, Yi J, Peng S, Liang J, Li Y, et al. Full-sized realistic 3D printed models of liver and tumors anatomy: a useful tool for the clinical medicine education of beginning trainees. BMC Med Educ. 2023, 23, 574. https://doi.org/10.1186/s12909-023-04535-3
7. Rubat Baleuri F, Pattou M, Jaffredo M, Lacroix G, Courtine C, Sarrazin J, et al. From visualization to education: the role of 3D-printed and virtual kidney models in training for renal cancer surgery, a systematic review. J Robot Surg. 2025, 20, 52. https://doi.org/10.1007/s11701-025-02961-7
8. Al Majarafi A, Al Busaidi M, Fawzy Kandil M, Al Hadeethi A, Al Mutani M, Al Farii H. The utilization of 3D pelvis model to improve the ability to understand complex anatomy among orthopaedic surgical trainees. BMC Med Educ. 2025, 25, 519. https://doi.org/10.1186/s12909-025-07105-x
9. Chetan D, Valverde I, Shi-Joon Y. 3D printed models in cardiology training. JACC Adv. 2024, 3(4), 100893. https://doi.org/10.1016/j.jacadv.2024.100893
10. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989, 13(3), 319-340. https://doi.org/10.2307/249008
11. Kalınkara Y, Özdemir O. Anatomy in the metaverse: exploring student technology acceptance through the UTAUT2 model. Anat Sci Educ. 2024, 17(6), 656-670. https://doi.org/10.1002/ase.2353
12. Barrows HS. A taxonomy of problem-based learning methods. Med Educ. 1986, 20(6), 481-486. https://doi.org/10.1111/j.1365-2923.1986.tb01386.x
13. Bailón Mieles JA, Jarre Barcia TR, Zamora Pazmiño LI. The relevance of Problem-Based Learning in the development of critical thinking. Rev Esp Educ Med. 2025, 6(5), 681791. https://revistas.um.es/edumed/article/view/681791
14. Torres Paez FF, Londoño JA. Contributions of Problem-Based Learning to the achievement of meaningful learning in the teaching of medicine. Rev Esp Educ Med. 2024, 5(4), 619851. https://doi.org/10.6018/edumed.619851
15. Zelada Espejo MI, Segura Beltrán F, Margas Cavieres F, Rojas Pino M. Impacto de la impresión 3D en el aprendizaje de estudiantes de medicina: una revisión sistemática. Rev Esp Educ Med. 2024, 5(4), 626811. https://doi.org/10.6018/edumed.626811
16. Ampuero Valenzuela IP, Riquelme-Vilches V, Vargas-Zurita E, Araya-Figueroa S, Cozzi-Ahumada R, Riquelme-Bahamondes C, Herrera-Alcaino Á. Influencia de las herramientas tecnológicas en la enseñanza de la morfología en la educación médica: una revisión sistemática. Rev Esp Educ Med. 2024, 5(4), 631071. https://doi.org/10.6018/edumed.631071
17. Hecht-López P, Maturana-Arancibia JC, Parra-Villegas E. Nuevos recursos digitales y de impresión 3D para la enseñanza de la anatomía. Rev Argent Anat Online. 2023, 14(1), 1-9.
18. Aiken LR. Content validity and reliability of single items or questionnaires. Educ Psychol Meas. 1980, 40(4), 955-959. https://doi.org/10.1177/001316448004000419
19. Kuder GF, Richardson MW. The theory of the estimation of test reliability. Psychometrika. 1937, 2(3), 151-160. https://doi.org/10.1007/BF02288391
20. Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: a comparison of two theoretical models. Manage Sci. 1989, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
21. Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951, 16(3), 297-334. https://doi.org/10.1007/BF02310555
22. Kerby DS. The simple difference formula: an approach to teaching nonparametric correlation. Compr Psychol. 2014, 3, 11.IT.3.1. https://doi.org/10.2466/11.IT.3.1
23. Siegel S. Nonparametric statistics for the behavioral sciences. McGraw-Hill. 1956.
24. Valdespino Gómez JL, García García MDL. Declaración de Helsinki de la Asociación Médica Mundial. Rev Med Inst Mex Seguro Soc. 2001, 39(6), 553-559.
25. Council for International Organizations of Medical Sciences (CIOMS). International ethical guidelines for health-related research involving humans. CIOMS. 2016. https://cioms.ch/wp-content/uploads/2017/01/WEB-CIOMS-EthicalGuidelines.pdf
26. Valdez GV, González CS, López JLG. Atlas anatómico 3D como recurso didáctico en la enseñanza de la anatomía humana. Rev Cuba Educ Med Super. 2025, 39(1), 1-12. https://doi.org/10.37811/cl_rcm.v9i2.17304
27. Hidalgo-Cajo B, Hidalgo-Cajo D, Montenegro-Chanalata M, Hidalgo-Cajo I. Augmented reality as a support resource in the teaching-learning process. Rev Electron Interuniv Form Profr. 2021, 24(3), 43-55. https://doi.org/10.6018/reifop.465451
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