Evidence map›Paper›PMID 37389692›Full record

Article3D printing in medicine2023

Development of 3D printed patient-specific skull implants based on 3d surface scans.

Fabian Kropla, Dirk Winkler, Dirk Lindner, Patrick Knorr, Sebastian Scholz, Ronny Grunert

Abstract read
In one paragraph

Article in 3D printing in medicine, 2023. 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. Application of 3D printing for personalized boluses in radiotherapy: a systematic review.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    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

6 authors.

Fabian KroplaDepartment of Neurosurgery, University of Leipzig, 04103, Leipzig, SN, Germany. Fabian.Kropla@medizin.uni-leipzig.de.
Dirk WinklerDepartment of Neurosurgery, University of Leipzig, 04103, Leipzig, SN, Germany.
Dirk LindnerDepartment of Neurosurgery, University of Leipzig, 04103, Leipzig, SN, Germany.
Patrick KnorrDepartment for Automotive and Mechanical Engineering, University of Applied Sciences Zwickau, 08056, Zwickau, SN, Germany.
Sebastian ScholzFraunhofer Institute for Machine Tools and Forming Technology, 02763, Zittau, SN, Germany.
Ronny GrunertDepartment of Neurosurgery, University of Leipzig, 04103, Leipzig, SN, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sometimes cranioplasty is necessary to reconstruct skull bone defects after a neurosurgical operation. If an autologous bone is unavailable, alloplastic materials are used. The standard technical approach for the fabrication of cranial implants is based on 3D imaging by computed tomography using the defect and the contralateral site. A new approach uses 3D surface scans, which accurately replicate the curvature of the removed bone flap. For this purpose, the removed bone flap is scanned intraoperatively and digitized accordingly. When using a design procedure developed for this purpose creating a patient-specific implant for each bone flap shape in short time is possible. The designed skull implants have complex free-form surfaces analogous to the curvature of the skull, which is why additive manufacturing is the ideal manufacturing technology here. In this study, we will describe the intraoperative procedure for the acquisition of scanned data and its further processing up to the creation of the implant.

Indexed as

3D printing3D scanAdditive manufacturingCranioplastyNeurosurgeryPatient-specific implant creation

Identifiers

PMID37389692
PMCPMC10311874

What OpenQuestion holds

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LicenceCC BY
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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.