Saemann Attill, Schmid Sina, Licci Maria, Zelechowski Marek, Faludi Balazs, Cattin Philippe C, Soleman Jehuda, Guzman Raphael
Department of Neurosurgery, University Hospital of Basel, Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
Front Surg. 2024 Sep 4;11:1440042. doi: 10.3389/fsurg.2024.1440042. eCollection 2024.
Craniosynostosis is a type of skull deformity caused by premature ossification of cranial sutures in children. Given its variability and anatomical complexity, three-dimensional visualization is crucial for effective teaching and understanding. We developed a VR database with 3D models to depict these deformities and evaluated its impact on teaching efficiency, motivation, and memorability.
We included all craniosynostosis cases with preoperative CT imaging treated at our institution from 2012 to 2022. Preoperative CT scans were imported into SpectoVR using a transfer function to visualize bony structures. Measurements, sub-segmentation, and anatomical teaching were performed in a fully immersive 3D VR experience using a headset. Teaching sessions were conducted in group settings where students and medical personnel explored and discussed the 3D models together, guided by a host. Participants' experiences were evaluated with a questionnaire assessing understanding, memorization, and motivation on a scale from 1 (poor) to 5 (outstanding).
The questionnaire showed high satisfaction scores (mean 4.49 ± 0.25). Participants ( = 17) found the VR models comprehensible and navigable (mean 4.47 ± 0.62), with intuitive operation (mean 4.35 ± 0.79). Understanding pathology (mean 4.29 ± 0.77) and surgical procedures (mean 4.63 ± 0.5) was very satisfactory. The models improved anatomical visualization (mean 4.71 ± 0.47) and teaching effectiveness (mean 4.76 ± 0.56), with participants reporting enhanced comprehension and memorization, leading to an efficient learning process.
Establishing a 3D VR database for teaching craniosynostosis shows advantages in understanding and memorization and increases motivation for the study process, thereby allowing for more efficient learning. Future applications in patient consent and teaching in other medical areas should be explored.
颅缝早闭是一种因儿童颅缝过早骨化导致的颅骨畸形。鉴于其变异性和解剖复杂性,三维可视化对于有效教学和理解至关重要。我们开发了一个包含三维模型的虚拟现实(VR)数据库来描绘这些畸形,并评估其对教学效率、积极性和记忆效果的影响。
我们纳入了2012年至2022年在我们机构接受治疗且术前行CT成像的所有颅缝早闭病例。使用传递函数将术前行CT扫描图像导入SpectoVR以可视化骨骼结构。通过头戴设备在完全沉浸式的三维VR体验中进行测量、子分割和解剖教学。教学课程以小组形式进行,学生和医务人员在主持人的引导下一起探索和讨论三维模型。通过一份问卷评估参与者的体验,该问卷从1(差)到5(优秀)对理解、记忆和积极性进行评分。
问卷显示满意度得分较高(平均4.49±0.25)。参与者(n = 17)发现VR模型易于理解和操作(平均4.47±0.62),操作直观(平均4.35±0.79)。对病理(平均4.29±0.77)和手术过程(平均4.63±0.5)的理解非常令人满意。这些模型改善了解剖可视化(平均4.71±0.47)和教学效果(平均4.76±0.56),参与者报告称理解和记忆能力增强,从而实现了高效的学习过程。
建立用于颅缝早闭教学的三维VR数据库在理解和记忆方面具有优势,并提高了学习过程的积极性,从而实现更高效的学习。应探索其在患者知情同意及其他医学领域教学中的未来应用。