Evidence map›Paper›PMID 40099076›Full record

ArticleCureus2025

Evaluating the Educational Impact of 3D-Printed Models in Cervical Laminoplasty Training: A Survey-Based Study.

Manuel De Jesus Encarnacion Ramirez, Carlos Salvador Ovalle Torres, Andreina Rosario Rosario, Gervith Reyes Soto, Carlos Castillo-Rangel, Carlos Castillo Sorian, Francisco Castañeda Aguayo, Nasser M F El-Ghandour, Vladimir Nikolenko, Tshiunza Mpoyi Cherubin

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Manuel De Jesus Encarnacion RamirezDepartment of Neurosurgery, Peoples' Friendship University of Russia, Moscow, RUS.
Carlos Salvador Ovalle TorresAbnormal Movements and Neurodegenerative Diseases Unit (UMANO), National Autonomous University of Mexico, General Hospital, Durango, MEX.
Andreina Rosario RosarioMedicine, Autonomous University of Santo Domingo (UASD), Santo Domingo, DOM.
Gervith Reyes SotoNeurosurgical Oncology, Mexico National Cancer Institute, Tlalpan, MEX.
Carlos Castillo-RangelNeurosurgery, ISSSTE Regional Hospital October 1, Mexico City, MEX.
Carlos Castillo SorianDepartment of Neurosurgery, Tecnológico de Monterrey Campus Estado de México, Mexico City, MEX.
Francisco Castañeda AguayoNeurosurgery, Centro Médico Nacional 20 de Noviembre, Mexico City, MEX.
Nasser M F El-GhandourDepartment of Neurosurgery, Faculty of Medicine, Cairo University, Cairo, EGY.
Vladimir NikolenkoBranch of the Human Anatomy and Histology, N.V. Sklifosovsky Institute of Clinical Medicine, Moscow, RUS.
Tshiunza Mpoyi CherubinDepartment of Neurosurgery, Clinique Ngaliema, Kinshasa, COD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective The complexities of spinal surgery, particularly the intricacies of cervical pathology, demand precision and expertise in surgical interventions. Cervical laminoplasty is a procedure that requires meticulous execution and a profound understanding of delicate anatomical structures. Recognizing the limitations of traditional training methods, this study highlights the transformative impact of integrating 3D modeling and printing technologies into medical education. These technologies provide an immersive, interactive, and highly detailed training platform, enabling aspiring surgeons to visualize, dissect, and practice procedures in a risk-free environment. Beyond education, 3D models enhance patient-doctor communication, enable precise preoperative planning, facilitate custom implant design, and support a personalized approach to spinal surgery. Collectively, these advancements hold the promise of reducing surgical errors and improving outcomes. Materials and methods Thirty-eight participants, including neurosurgeons, residents, and medical doctors, were enrolled in this study. High-resolution CT scans, obtained with informed consent to ensure confidentiality and ethical compliance, were used to create the 3D models. These models, printed with polylactic acid (PLA) filament and refined through post-processing, achieved high anatomical accuracy and quality. The training program combined lectures, live demonstrations, and hands-on sessions with 3D models. Participants' experiences and perceptions were evaluated through a survey, focusing on the models' utility and realism in advancing surgical skills. Results The participants overwhelmingly praised the 3D models for their utility in helping to understand cervical laminoplasty concepts and enhancing their learning compared to traditional methods. The models were particularly valued for their accurate representation of anatomical structures and improved visualization of surgical steps. Notably, 81.6% of participants found the models extremely beneficial in planning surgical approaches. The survey results unanimously highlighted the transformative potential of 3D models in medical education. Participants strongly recommended their integration into training programs and preoperative planning processes, emphasizing their ability to elevate the learning experience and improve surgical preparedness. Conclusions Our findings show that 3D modeling significantly enhances training in cervical laminoplasty by providing superior learning tools and improving anatomical visualization compared to conventional methods. The unanimous endorsement from participants underscores the adaptability and precision of 3D models in medical education and preoperative planning. As an indispensable resource in modern medical training, these models represent a pivotal advancement in preparing surgeons for the complexities of spinal surgery.

Indexed as

3d printedcervicalspine surgerytrainingvertebral laminoplasty

Identifiers

PMID40099076
PMCPMC11911143

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.