Evidence map›Paper›PMID 34689475›Full record

ArticleJournal of Korean Neurosurgical Society2021

Three-Dimensional Printing Assisted Preoperative Surgical Planning for Cerebral Arteriovenous Malformation.

Inan Uzunoglu, Ceren Kızmazoglu, Resit Buğra Husemoglu, Gokhan Gurkan, Cansu Uzunoglu, Murat Atar, Volkan Cakır, Hasan Emre Aydın, Murat Sayın, Nurullah Yuceer

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean Neurosurgical Society, 2021. 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
0.2field-weighted citation impact, top 42% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Article
  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

10 authors at 5 institutions in 1 country.

Inan UzunogluDepartment of Neurosurgery, Katip Celebi Unıversity Ataturk Training and Research Hospital, Izmir, Turkey.
Ceren KızmazogluDepartment of Neurosurgery, Dokuz Eylül University School of Medicine, Izmir, Turkey.
Resit Buğra HusemogluDepartment of Biomechanic, Dokuz Eylül University School of Medicine, Izmir, Turkey.
Gokhan GurkanDepartment of Neurosurgery, Katip Celebi Unıversity Ataturk Training and Research Hospital, Izmir, Turkey.
Cansu UzunogluDepartment of Neurological Intensive Care, Ege University School of Medicine, Izmir, Turkey.
Murat AtarDepartment of Neurosurgery, Sultan Abdulhamid Han Training and Research Hospital, Istanbul, Turkey.
Volkan CakırDepartment of Interventional Radiology, Tinaztepe University Galen Hospital, Izmir, Turkey.
Hasan Emre AydınDepartment of Neurosurgery, Dumlupinar University Kutahya Evliya Celebi Training and Research Hospital, Kutahya, Turkey.
Murat SayınDepartment of Neurosurgery, Katip Celebi Unıversity Ataturk Training and Research Hospital, Izmir, Turkey.
Nurullah YuceerDepartment of Neurosurgery, Katip Celebi Unıversity Ataturk Training and Research Hospital, Izmir, Turkey.
Izmir Kâtip Çelebi University · TRDokuz Eylül University · TRDumlupinar University · TREge University · TRIzmir University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study to investigate the benefits of patient-based 3-dimensional (3D) cerebral arteriovenous malformation (AVM) models for preoperative surgical planning and education.

methodsFifteen patients were operated on for AVMs between 2015 and 2019 with patient-based 3D models. Ten patients' preoperative cranial angiogram screenings were evaluated preoperatively or perioperatively via patient-based 3D models. Two patients needed emergent surgical intervention; their models were solely designed based on their AVMs and used during the operation. However, the other patients who underwent elective surgery had the modeling starting from the skull base. These models were used both preoperatively and perioperatively. The benefits of patients arising from treatment with these models were evaluated via patient files and radiological data.

resultsFifteen patients (10 males and five females) between 16 and 66 years underwent surgery. The mean age of the patients was 40.0±14.72. The most frequent symptom patients observed were headaches. Four patients had intracranial bleeding; the symptom of admission was a loss of consciousness. Two patients (13.3%) belonged to Spetzler-Martin (SM) grade I, four (26.7%) belonged to SM grade II, eight (53.3%) belonged to SM grade III, and one (6.7%) belonged to SM grade IV. The mean operation duration was 3.44±0.47 hours. Three patients (20%) developed transient neurologic deficits postoperatively, whereas three other patients died (20%).

conclusionSeveral technological innovations have emerged in recent years to reduce undesired outcomes and support the surgical team. For example, 3D models have been employed in various surgical procedures in the last decade. The routine usage of patient-based 3D models will not only support better surgical planning and practice, but it will also be useful in educating assistants and explaining the situation to the patient as well.

Indexed as

Intracranial arteriovenous malformationsSpetzler-Martin gradeThree-dimensional printing

Identifiers

PMID34689475
PMCPMC8590920
OpenAlexW3210863371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.