Evidence map›Paper›PMID 25683986›Full record

ArticleYonsei medical journal2015

Clinical experience of glioma surgery using "tailed bullet": overcoming the limitations of conventional neuro-navigation guided surgery.

Jin Mo Cho, Jae Joon Lim, Se-Hyuk Kim, Kyung Gi Cho

Abstract read
In one paragraph

Article in Yonsei medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

  1. Digital Twins and Health Care: an Umbrella Review.Journal of medical systems · 2025
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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

4 authors.

Jin Mo ChoDepartment of Neurosurgery, Catholic Kwandong University, International St. Mary's Hospital, Incheon, Korea.
Jae Joon LimDepartment of Neurosurgery, Bundang CHA Medical Center, CHA University College of Medicine, Seongnam, Korea.
Se-Hyuk KimDepartment of Neurosurgery, Ajou University School of Medicine, Suwon, Korea.
Kyung Gi ChoDepartment of Neurosurgery, Bundang CHA Medical Center, CHA University College of Medicine, Seongnam, Korea. sandori50@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough conventional neuro-navigation is a useful tool for image-guided glioma surgery, there are some limitations, such as brain shift. We introduced our methods using an identifiable marker, a "tailed bullet", to overcome the limitation of conventional neuro-navigation. A tailed bullet is an identifiable tumor location marker that determines the extent of a resection and we have introduced our technique and reviewed the clinical results. MATERIALS AND

methodsWe have developed and used "tailed bullets" for brain tumor surgery. They were inserted into the brain parenchyma or the tumor itself to help identify the margin of tumor. We retrospectively reviewed surgically resected glioma cases using "tailed bullet". Total 110 gliomas included in this study and it contains WHO grade 2, 3, and 4 glioma was 14, 36, and 60 cases, respectively.

resultsGross total resection (GTR) was achieved in 71 patients (64.5%), subtotal resection in 36 patients (32.7%), and partial resection in 3 patients (2.7%). The overall survival (OS) duration of grade 3 and 4 gliomas were 20.9 (range, 1.2-82.4) and 13.6 months (range, 1.4-173.4), respectively. Extent of resection (GTR), younger age, and higher initial Karnofsky Performance Status (KPS) score were related to longer OS for grade-4 gliomas. There was no significant adverse event directly related to the use of tailed bullets.

conclusionConsidering the limitations of conventional neuro-navigation methods, the tailed bullets could be helpful during glioma resection. We believe this simple method is an easily accessible technique and overcomes the limitation of the brain shift from the conventional neuro-navigation. Further studies are needed to verify the clinical benefits of using tailed bullets.

Indexed as

AdultAgedBrainBrain NeoplasmsFemaleGliomaHumansKarnofsky Performance StatusMagnetic Resonance Imaging, InterventionalMaleMiddle AgedNeuronavigationRetrospective StudiesSurgery, Computer-AssistedSurvival RateTime FactorsGliomaimage-guided surgeryneuro-navigationtailed bullet

Identifiers

PMID25683986
PMCPMC4329349

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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.