Evidence map›Paper›PMID 36311943›Full record

ReviewFrontiers in surgery2022

Three-dimensional printing and 3D slicer powerful tools in understanding and treating neurosurgical diseases.

Yijie You, Yunlian Niu, Fengbing Sun, Sheng Huang, Peiyuan Ding, Xuhui Wang, Xin Zhang, Jian Zhang

Abstract readReview
In one paragraph

Review in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Segmentation-based 3D volumetry and linear regression modeling for assessing the vertebral bone loss in pyogenic vertebral osteomyelitis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

8 authors.

Yijie YouDepartment of Neurosurgery, Xinhua Hospital Chongming Branch, Shanghai, China.
Yunlian NiuDepartment of Neurology, Xinhua Hospital Chongming Branch, Shanghai, China.
Fengbing SunDepartment of Neurosurgery, Xinhua Hospital Chongming Branch, Shanghai, China.
Sheng HuangDepartment of Neurosurgery, Xinhua Hospital Chongming Branch, Shanghai, China.
Peiyuan DingDepartment of Neurosurgery, Xinhua Hospital Chongming Branch, Shanghai, China.
Xuhui WangDepartment of Neurosurgery, Xinhua Hospital Chongming Branch, Shanghai, China.
Xin ZhangEducational Administrative Department, Shanghai Chongming Health School, Shanghai, China.
Jian ZhangDepartment of Neurosurgery, Xinhua Hospital Chongming Branch, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of the 3D printing industry, clinicians can research 3D printing in preoperative planning, individualized implantable materials manufacturing, and biomedical tissue modeling. Although the increased applications of 3D printing in many surgical disciplines, numerous doctors do not have the specialized range of abilities to utilize this exciting and valuable innovation. Additionally, as the applications of 3D printing technology have increased within the medical field, so have the number of printable materials and 3D printers. Therefore, clinicians need to stay up-to-date on this emerging technology for benefit. However, 3D printing technology relies heavily on 3D design. 3D Slicer can transform medical images into digital models to prepare for 3D printing. Due to most doctors lacking the technical skills to use 3D design and modeling software, we introduced the 3D Slicer to solve this problem. Our goal is to review the history of 3D printing and medical applications in this review. In addition, we summarized 3D Slicer technologies in neurosurgery. We hope this article will enable many clinicians to leverage the power of 3D printing and 3D Slicer.

Indexed as

3D printing3D sliceradditive manufacturingneurosurgerysolid modeling

Identifiers

PMID36311943
PMCPMC9614074

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.