Evidence map›Paper›PMID 40504428›Full record

Article3D printing in medicine2025

Enhancing skull base tumor management: the combination of 3D printing technology and endoscopic surgical techniques.

Xiao Li, Peng Gao, Angsi Liu, Fuxing Zuo, Ke Hu, Yang Wang, Haiyan Li, Jianxin Kong, Xueji Li

Abstract read
In one paragraph

Article in 3D printing in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

9 authors.

Xiao Li *Department of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Peng Gao *Department of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Angsi Liu *Department of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Fuxing ZuoDepartment of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Ke HuDepartment of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Yang WangDepartment of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Haiyan LiMedprin Regenerative Medical Technologies Company Limited, Guangzhou, China.
Jianxin KongDepartment of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. jianxinkong@126.com.
Xueji LiDepartment of Neurosurgery, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. li-x-ji@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

object3D printing technology stands as a transformative force in medicine, offering outstanding precision and personalization in surgical planning, patient education, and the development of anatomical models for complex procedures. This paper aims to explore the application experiences of 3D printing in endoscopic skull base tumor surgeries, evaluating the impact and effectiveness of 3D-printed models in enhancing both surgical simulations and anatomical learning in the field of neurosurgery for skull base tumors.

methodFrom October 2015 to March 2019, our institution enrolled five patients for whom individualized 3D-printed models were created, utilizing different printing techniques and materials. These models served a critical role in preoperatively determining the most effective surgical approaches. Additionally, they were instrumental in facilitating endoscopic surgery simulations and enhancing anatomical education. To assess the utility of these 3D models, nine neurosurgeons from our institution were surveyed using the Likert scale questionnaire, providing valuable insights into the effectiveness of 3D printing in clinical applications of neurosurgery.

resultOur team successfully printed five complex skull base tumor models using 3D printing technology, which significantly improved the outcome of skull base tumor diagnosis and treatment. An evaluation of the Likert scores revealed that model 4, crafted using mixed photosensitive resin, was particularly effective for surgical simulation and anatomical education. The mean (standard deviation, SD) 3D printing time is 16.3 (5.54) hours, and the mean (SD) printing cost is 4,500 (1132.88) RMB, demonstrating the efficiency of this approach.

conclusion3D printing technology emerges as a highly valuable asset in the realm of endoscopic surgery for skull base tumors. Its rapid production turnaround allows for urgent surgical preparation needs. Additionally, this technology optimizes the learning curve for clinical pathological anatomy and endoscopic surgery. This combination advances surgical practices and training, particularly in the challenging domain of skull base neurosurgery.

Indexed as

3D printingEndoscopy surgeryNeurosurgerySkull base tumor

Identifiers

PMID40504428
PMCPMC12160388

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.