Skip to main content

Utilization of 3D printing modeling techniques in the simulation instruction of ultrasound-guided puncture procedures on scoliotic spines of spinal muscular atrophy

Abstract

Background

Puncture training with simulation models has emerged as a critical method for transmitting puncture skills, improving success rates, and minimizing injuries. Yet, obstacles such as proper material for ultrasound guidance, restricted options of 3D printing resources, and available substances to simulate human skin and muscle still hinder the production of simulation models that closely replicate clinical practice. This study aimed to develop a selective laser melting (SLM), 3D-printed simulation model that replicated the spine and skin contours of patients with spinal scoliosis.

Methods

The 3D models of the scoliotic spines were developed from 3D reconstructions of high-resolution, computed tomography images from patients with spinal scoliosis, while the models of the skin to the bone structure were constructed based on the 3D reconstructions of the skin contours. SLM technology was used to print 3D models of the patients’ spines. Gelatin casting was implemented to simulate the patients’ skin and muscle tissues and to meet ultrasound anatomical requirements. Practical puncture training, which closely resembles clinical puncture practice, was then carried out to validate the effectiveness of the model. Improvements in proficiency and confidence in performing ultrasound-guided punctures after the simulation-model training were evaluated using the paired sample t test.

Results

This research utilized 3D digital modeling, SLM 3D printing technology, and gelatin casting to establish simulation models of patients’ spines and skin contours impacted by spinal scoliosis. The use of medical grade stainless steel material for modeling the spine and gelatin for skin and muscle tissues ensured the model had superior ultrasound anatomical properties. After the simulation training session, participants’ proficiency and confidence in both ultrasound-assisted positioning and real-time guided puncture showed significant improvement, demonstrating the effectiveness of the simulation training model.

Conclusions

The simulation model closely mimicked real clinical situations and was an effective training tool for medical professionals. Furthermore, these findings demonstrated the potential of 3D printing technology in developing simulation models that closely replicate real-world clinical scenarios and may have significant implications for medical education and training.

Background

Puncture training is essential for equipping healthcare professionals with the skills required for safe and precise procedures [1]. This is particularly crucial for patients with spinal muscular atrophy (SMA), whose spinal deformities make punctures challenging even for experienced practitioners [2]. Mastery of these procedures demands extensive practice, especially given the unique complexities of SMA cases [3]. However, due to the rarity of SMA, patient numbers are limited [4]. The intricate nature of puncture procedures and the associated risks make acquiring sufficient hands-on experience difficult in real-world clinical settings. As a result, developing effective training methodologies for puncturing complex spinal deformities in SMA patients remains a significant challenge [5]. Addressing these challenges is critical for advancing medical education and ensuring healthcare professionals’ proficiency in managing such cases.

In recent years, simulation models have become essential for practical training [6, 7]. Key challenges in their development include selecting materials with suitable acoustic properties for ultrasound guidance, replicating human skin and muscle anatomy, and ensuring a realistic tactile response to puncture needles.

Advancements in digital modeling and 3D printing have improved simulation model development [8, 9]. However, limitations in printing materials and difficulties in replicating complex anatomical structures remain significant obstacles. Patients with spinal deformities, such as those with SMA, often exhibit not only spinal abnormalities but also soft tissue and skin deformations, complicating probe placement and puncture path planning. While 3D-printed spinal models based on real patients have been reported [10, 11], they fail to accurately simulate soft tissue and skin, limiting their effectiveness in providing realistic training experiences.

To meet the needs of the profession for this highly specialist medical training, particularly in patients with SMA and the associated spinal deformities, we developed an innovative simulation model that meticulously replicates the spine and skin contours of patients with spinal scoliosis.

Methods

Digital modeling and 3D printing for accurate scoliosis simulation

Patient-specific data acquisition and processing

The process begins with high-resolution CT (HRCT) scans to capture the structural features of scoliotic spines. Scans were performed using a Siemens CT machine at Peking Union Medical College Hospital (Beijing, China) with the following parameters: Modality—CT; Station Name—CTAWP73555; Study Description—Spine_CTM_Customized (Adult); Implementation Version—CENTRICITY_3.0; Slice Thickness—0.6 mm; Pixel Spacing—0.6934 mm.

The resulting 3D reconstruction (Fig. 1) represents the scoliotic spine from the thoracic to sacral vertebrae. For lumbar puncture training, we focus on the T12 to S1 segment. To isolate this region, a volume slicer GUI (Fig. 2) is used to precisely extract the relevant HRCT data. This selective modeling approach optimizes computational efficiency while preserving essential anatomical structures for training.

Fig. 1
figure 1

3D spinal reconstruction of scoliosis

Fig. 2
figure 2

3D volume reconstruction and intensity distribution of a scoliotic spine

Advanced digital modeling

Our approach focuses on precise digital modeling of both the scoliotic spine and the overlying skin. Using computer-aided design (CAD) software, we create a 3D virtual model that accurately replicates the complex spinal geometry, including vertebral bodies, pedicles, and articular processes.

Additionally, we model the patient’s skin, emphasizing its spatial relationship with the deformed spine (Fig. 3). To facilitate puncture simulation, designated skin areas are strategically left open, exposing only the scoliotic spine. This innovative design allows for the integration of multiple materials to simulate various tissue layers, significantly enhancing model realism.

Fig. 3
figure 3

Digital modelling graphics with epidermal structures

Innovative 3D printing techniques

To achieve high anatomical accuracy, we employ two advanced 3D printing technologies:

  1. a.

    Stereolithography (SLA) for Skin Surface.

Using an M6 industrial-grade SLA printer, we produce a high-resolution skin model with the following parameters:

  • Layer thickness: 0.05 mm.

  • Laser power: 250 mW.

  • Scanning speed: 3000 mm/s.

  • Resin type: Biocompatible clear resin (USP Class VI certified).

This ensures an anatomically precise skin surface while maintaining spatial alignment with the underlying spine.

  1. b.

    Selective laser melting (SLM) for spine structure.

The spine is printed using SLM technology with medical-grade stainless steel (316 L), chosen for its ability to replicate the acoustic properties of bone. The optimized SLM parameters include:

  • Layer thickness: 30 microns.

  • Laser power: 200 W.

  • Scanning speed: 900 mm/s.

  • Hatch spacing: 0.1 mm.

  • Oxygen level in build chamber: <0.1%.

These settings ensure accurate mechanical properties, structural integrity, and ultrasound compatibility.

Precision and post-processing

The final printed spine model (Fig. 4) maintains an error margin of less than 0.02 mm at a 1:1 scale, achieved through:

Fig. 4
figure 4

3D printed part of the digital model

  • High-precision SLM calibration.

  • Optimized build orientation to minimize distortion.

  • Post-processing steps, including stress relief heat treatment and precision machining.

Further processing includes:

  • Stress relief heat treatment (300 °C for 2 h) to reduce residual stress.

  • Wire EDM cutting to detach the model from the build plate.

  • Bead blasting for improved surface finish and ultrasound properties.

  • High-resolution CT scanning and ultrasound testing to verify structural and acoustic accuracy.

Model assembly and tissue simulation

To enable realistic lumbar puncture training, the area between the vertebral body and skin is filled with flexible materials simulating soft tissues. The selected filling material must:

  1. 1

    Mimic the softness of human skin and muscle.

  2. 2

    Differ in ultrasound properties from the spine.

  3. 3

    Provide realistic needle feedback.

  4. 4

    Be durable and reusable.

Soft gelatin (Shore hardness A0) was identified as the optimal material after extensive testing.

The gelatin was poured in a controlled process:

  1. 1

    A hollow section served as a mold, with a separately printed skin component acting as a barrier.

  2. 2

    The gelatin was mixed with a curing agent (1:1 ratio), ensuring homogeneity and air bubble elimination.

  3. 3

    The mixture was poured through a small reserved hole and left to set for 12 h.

The final model (Fig. 5) includes a silicone rubber layer, while ultrasound imaging (Fig. 6) confirms excellent ultrasound-guided performance. A customized base further stabilizes the model for training, aligning with the patient’s anatomical features for enhanced accuracy.

Fig. 5
figure 5

Simulated model for lumbar puncture training filled with gelatin casting

Fig. 6
figure 6

Ultrasound image of a typical puncture plane of the model. Pictures A and B show coronal ultrasound images of the spine; Pictures C and D show sagittal ultrasound images of the spine; Pictures E and F show the ultrasound images of paravertebral puncture

Verification of the model’s effectiveness

To assess the effectiveness of the training model, 33 anesthesiologists and neurologists participated in ultrasound-guided lumbar puncture training. The training consisted of three components:

  • Theoretical Instruction– A lecture on positioning and real-time ultrasound guidance for lumbar puncture.

  • Case Demonstration– Practical demonstrations of lumbar puncture procedures under ultrasound guidance.

  • Hands-on Practice– Simulation-based training, allowing participants to perform ultrasound-guided lumbar puncture.

Participants’ confidence and proficiency were evaluated through pre- and post-training questionnaires (Appendix 1), while overall training quality was assessed via a satisfaction survey. The effectiveness of the simulation tools was statistically analyzed using a paired sample t-test. This study was reviewed and approved by the Ethics Committee of Peking Union Medical College Hospital.

Results

Utilizing SLM 3D printing technology, we developed a simulation model that closely replicates the anatomy of patients with spinal scoliosis. This model offers a realistic depiction of bone structure for training, and its ultrasound performance is enhanced by using gelatin to simulate skin and muscle tissues (Figs. 5 and 6).

Evaluated as clinically applicable, the model provides lifelike skin and muscle textures along with an authentic needle insertion experience, making it ideal for training clinicians in complex lumbar puncture procedures.

Table 1 summarizes assessment scores, which indicate that participants significantly improved their proficiency and confidence in both ultrasound-assisted positioning and real-time guided puncture after the training sessions and simulation exercises.

Table 1 Participants’ confidence and proficiency in ultrasound-guided lumbar puncture

Discussion

Our research addresses a key challenge in medical education: developing accurate simulation models for lumbar puncture training, particularly in patients with scoliosis. Traditional methods struggle to replicate the complex spatial relationships between a deformed spine and the skin surface, limiting training effectiveness. To overcome these limitations, we leverage advanced 3D printing technology.

Our study demonstrates that a lifelike lumbar puncture training model significantly enhances learning outcomes. The model is created using selective laser melting (SLM) 3D printing combined with sophisticated gelatin casting techniques. High-resolution CT (HRCT) scans provide the foundation for precise 3D reconstruction of the scoliotic spine, with medical grade stainless steel chosen for its compatibility with imaging modalities. Gelatin, which mimics the properties of human skin and muscle, ensures a realistic tactile experience. This approach offers a more precise representation of intricate anatomy, particularly in complex puncture scenarios associated with severe spinal scoliosis. By faithfully replicating clinical conditions, trainees can refine their skills and better prepare for real-world procedures [12, 13].

The strategic employment of these materials in our model not only facilitates a realistic representation of the human anatomy, but also enhances the educational efficacy of the simulation. This combination of medical grade stainless steel and gelatin also ensures that our model possesses ultrasound anatomical properties. The model’s fidelity in ultrasound imaging and tactile feedback offers a immersive training experience, bridging the gap between theoretical knowledge and practical clinical skills. Practice of ultrasound-assisted positioning is particularly relevant as ultrasound guidance becomes increasingly prevalent in puncture procedures [14,15,16,17]. Having a model that accurately reflects this technology can notably improve the training outcomes and ensure medical professionals can be more confident in handling clinical complexities [18].

The application of 3D printing in spinal puncture training is well-supported in the literature, yet significant challenges remain in teaching puncture techniques for spinal muscular atrophy (SMA) patients. (1) These patients exhibit not only spinal deformities but also soft tissue and skin irregularities, making accurate puncture path selection highly dependent on clinical experience. (2) SMA is a rare disease with considerable anatomical variability among patients, limiting hands-on training opportunities. Our study integrates 3D-printed spinal deformity models with gelatin-based soft tissue replicas, accurately simulating the appearance, texture, and tactile properties of SMA patients’ back tissues. This approach enables realistic simulation, localization, and procedural practice, addressing key challenges and offering new perspectives for spinal puncture training.

Digital modeling technology played a crucial role in our study, allowing for the precise design and physical replication of the training model. This controlled environment enables trainees to develop competence before performing procedures on actual patients [19].

Despite its advantages, the lumbar puncture model has areas for improvement. Refining the puncture needle to minimize interface resistance with gelatin is necessary. Additionally, integrating mixed-reality technology for procedural guidance is in progress and expected to enhance training efficacy. Beyond education, this technology facilitates the replication of patient-specific spine and soft tissue models, allowing anesthesiologists to pre-plan and adjust puncture paths during procedures. This transition from training to clinical application has the potential to enhance patient care quality.

In summary, the use of SLM 3D printing and gelatin casting in developing a realistic lumbar puncture training model holds significant promise for clinical education. This approach offers an accurate, customizable solution that could revolutionize puncture training. While challenges remain, its potential benefits make it an exciting prospect for the future of medical training.

Conclusions

This study illustrates a unique method for constructing simulation models of spines and skin contours of patients with spinal scoliosis using SLM 3D printing technology. By employing gelatin to emulate real muscle and skin tissues, a simulation model was created that closely mirrored actual clinical scenarios. Practical training with this model resulted in substantial enhancements in puncture training effectiveness.

The use of SLM 3D printing technology has yielded a model that aligns closely with the anatomy of patients with spinal scoliosis, thereby improving the precision of needle insertion during puncture procedures. Furthermore, the anatomical properties of the model met the requirements for ultrasound guidance, making it ideal for use in training for ultrasound-assisted positioning. The model’s authentic texture, resembling skin and muscle tissues, coupled with its lifelike needle insertion experience, marks it as a valuable tool for training medical professionals in complex lumbar puncture scenarios.

Creating training models that emulate the tactile feel of actual punctures is crucial in the development of medical training models. These models have the potential to significantly improve patient outcomes and decrease the clinical risks associated with puncture procedures. The findings of this study underscore the potential of 3D printing technology in the creation of simulation models that faithfully replicate real-life clinical scenarios, and carry profound implications for the future of medical education and training.

Data availability

No datasets were generated or analysed during the current study.

Abbreviations

HRCT:

High-resolution computed tomography

SLM:

Selective laser melting

SMA:

Spinal muscular atrophy

References

  1. Epstein NE. The risks of epidural and transforaminal steroid injections in the spine: commentary and a comprehensive review of the literature. Surg Neurol Int. 2013;4(Suppl 2):S74–93.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Zhang J, Cui X, Chen S, Dai Y, Huang Y, Zhang S. Ultrasound-guided Nusinersen administration for spinal muscular atrophy patients with severe scoliosis: an observational study. Orphanet J Rare Dis. 2021;16(1):274.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Wurster CD, Winter B, Wollinsky K, Ludolph AC, Uzelac Z, Witzel S, Schocke M, Schneider R, Kocak T. Intrathecal administration of Nusinersen in adolescent and adult SMA type 2 and 3 patients. J Neurol. 2019;266(1):183–94.

    Article  PubMed  Google Scholar 

  4. Prior TWLM, Finanger E. Spinal Muscular Atrophy.; 2000 Feb 24 [Updated 2020 Dec 3].

  5. Schorling DC, Pechmann A, Eckenweiler M, Muller CK, Langer T, Kirschner J. Post-dural puncture headache-a single-centre analysis in paediatric patients with and without SMA. Acta Paediatr. 2021;110(6):1895–901.

    Article  PubMed  Google Scholar 

  6. Duan X, Wang W, Ma W, Mao Z, Xing F, Zhao X. Convex and concave model 3D printing for designing Right-side bronchial blocker for infants. Int J Bioprint. 2022;8(3):555.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Ying H, Liu PX, Hou W. A deformation model of pulsating brain tissue for neurosurgery simulation. Comput Methods Programs Biomed. 2022;218:106729.

    Article  PubMed  Google Scholar 

  8. Wong KC. 3D-printed patient-specific applications in orthopedics. Orthop Res Rev. 2016;8:57–66.

    PubMed  PubMed Central  Google Scholar 

  9. Wong KC, Kumta SM, Geel NV, Demol J. One-step reconstruction with a 3D-printed, biomechanically evaluated custom implant after complex pelvic tumor resection. Comput Aided Surg. 2015;20(1):14–23.

    Article  CAS  PubMed  Google Scholar 

  10. West SJ, Mari JM, Khan A, Wan JH, Zhu W, Koutsakos IG, Rowe M, Kamming D, Desjardins AE. Development of an ultrasound Phantom for spinal injections with 3-dimensional printing. Reg Anesth Pain Med. 2014;39(5):429–33.

    Article  PubMed  Google Scholar 

  11. Chao I, Young J, Coles-Black J, Chuen J, Weinberg L, Rachbuch C. The application of three-dimensional printing technology in anaesthesia: a systematic review. Anaesthesia. 2017;72(5):641–50.

    Article  CAS  PubMed  Google Scholar 

  12. Cichocki MN, Landrum KM, Chung KC. Training surgeons: simulation and reflection. Plast Reconstr Surg. 2022;149(2):287–93.

    Article  CAS  PubMed  Google Scholar 

  13. Wang Z, Shen J. Simulation training in spine surgery. J Am Acad Orthop Surg. 2022;30(9):400–8.

    PubMed  Google Scholar 

  14. Chen L, Huang J, Zhang Y, Qu B, Wu X, Ma W, Li Y. Real-Time Ultrasound-Guided versus Ultrasound-Assisted spinal anesthesia in elderly patients with hip fractures: A randomized controlled trial. Anesth Analg. 2022;134(2):400–9.

    Article  CAS  PubMed  Google Scholar 

  15. Tanwani J, Alam F, Matava C, Choi S, McHardy P, Singer O, Cheong G, Wiegelmann J. Development of a Head-Mounted holographic needle guidance system for enhanced Ultrasound-Guided neuraxial anesthesia: system development and observational evaluation. JMIR Form Res. 2022;6(6):e36931.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Li J, Krishna R, Zhang Y, Lam D, Vadivelu N. Ultrasound-Guided neuraxial anesthesia. Curr Pain Headache Rep. 2020;24(10):59.

    Article  PubMed  Google Scholar 

  17. Ameri G, Rankin A, Baxter JSH, Moore J, Ganapathy S, Peters TM, Chen ECS. Development and evaluation of an augmented reality ultrasound guidance system for spinal anesthesia: preliminary results. Ultrasound Med Biol. 2019;45(10):2736–46.

    Article  PubMed  Google Scholar 

  18. Kessler J. Education and training in ultrasound-guided neuraxial anaesthesia. Anaesth Intensive Care. 2014;42(4):447–8.

    Article  CAS  PubMed  Google Scholar 

  19. Beaulieu A, Linden AZ, Phillips J, Arroyo LG, Koenig J, Monteith G. Various 3D printed materials mimic bone ultrasonographically: 3D printed models of the equine cervical articular process joints as a simulator for ultrasound guided intra-articular injections. PLoS ONE. 2019;14(8):e0220332.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors would like to express their sincere gratitude to Dr. Dai Yi from the Department of Neurology for his invaluable support and contributions to this training program.

Funding

This work was supported in part by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences and Health (Grant No. 2021-I2M-C&T-B-015) and National High Level Hospital Clinical Research Funding (No. 2022-PUMCH-A-149).

Author information

Authors and Affiliations

Authors

Contributions

Di Xia, Fangliang Xing and Xulei Cui conceived, designed, and implemented this study. Di Xia, Jiao Zhang and Jiaxin Lang collected the data. Di Xia completed the statistical analysis and interpreted the data. Di Xia drafted the manuscript. Xulei Cui and Gang Tan revised it critically. All authors have approved the manuscript for publication and there is no conflict of interest in this submission.

Corresponding author

Correspondence to Xulei Cui.

Ethics declarations

Ethics approval and consent to participate

The institutional review board of Peking Union Medical College Hospital reviewed our study protocol (I-23ZM0027). It classified our study as “exempt” because this study utilized legally obtained existing anonymous data, did not interfere with public behavior, did not cause harm to the human body, did not involve sensitive information, and did not touch upon commercial interests. The requirement of written informed consent was also waived by the institutional review board.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xia, D., Xing, F., Zhang, J. et al. Utilization of 3D printing modeling techniques in the simulation instruction of ultrasound-guided puncture procedures on scoliotic spines of spinal muscular atrophy. 3D Print Med 11, 19 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s41205-025-00266-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s41205-025-00266-x

Keywords