Evidence map›Paper›PMID 33936998›Full record

ArticleQuantitative imaging in medicine and surgery2021

Mixed reality and three dimensional printed models for resection of maxillary tumor: a case report.

Keisuke Sugahara, Masahide Koyachi, Yu Koyama, Maki Sugimoto, Satoru Matsunaga, Kento Odaka, Shinichi Abe, Akira Katakura

Abstract readCase Reports
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  9. Application of digital model of mixed reality dynamic tracking technique in oral and maxillofacial surgery: a basic research.Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2024
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  17. Mixed reality for extraction of maxillary mesiodens.Maxillofacial plastic and reconstructive surgery · 2023
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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.

Keisuke SugaharaDepartment of Oral Pathobiological Science and Surgery, Tokyo Dental College, Tokyo, Japan.
Masahide KoyachiDepartment of Oral Pathobiological Science and Surgery, Tokyo Dental College, Tokyo, Japan.
Yu KoyamaDepartment of Oral Pathobiological Science and Surgery, Tokyo Dental College, Tokyo, Japan.
Maki SugimotoDepartment of Oral Pathobiological Science and Surgery, Tokyo Dental College, Tokyo, Japan.
Satoru MatsunagaOral Health Science Center, Tokyo Dental College, Tokyo, Japan.
Kento OdakaDepartment of Oral and Maxillofacial Radiology, Tokyo Dental College, Tokyo, Japan.
Shinichi AbeDepartment of Anatomy, Tokyo Dental College, Tokyo, Japan.
Akira KatakuraDepartment of Oral Pathobiological Science and Surgery, Tokyo Dental College, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of oral and maxillofacial surgery, many institutions have recently begun using three-dimensional printers to create three-dimensional models and mixed reality in a variety of diseases. Here, we report the actual situation model which we made using three-dimensional printer from virtual operation data and the resection that was performed while grasping a maxillary benign tumor and neighboring three-dimensional structure by designing an application for Microsoft® HoloLens, and using Mixed Reality surgery support during the procedure.

Indexed as

3-dimensional printed modelcalcifying odontogenic cystImage-guided surgeryMixed reality (MR)

Identifiers

PMID33936998
PMCPMC8047357

What OpenQuestion holds

Textmetadata
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.