Evidence map›Paper›PMID 23681091›Full record

ArticleSensors (Basel, Switzerland)2013

3D preoperative planning in the ER with OsiriX®: when there is no time for neuronavigation.

Mauricio Mandel, Robson Amorim, Wellingson Paiva, Marcelo Prudente, Manoel Jacobsen Teixeira, Almir Ferreira de Andrade

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
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  6. Review
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  12. [Neurosurgical planning using osirix software].Surgical neurology international · 2014
    Article
  13. 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.

Mauricio MandelDepartment of Neurosurgery, Hospital das Clinicas of University of Sao Paulo Medical School, Av. Dr. Eneas de Carvalho, 255, São Paulo 05403-000, Brazil. mauricio.mandel@einstein.br
Robson Amorim
Wellingson Paiva
Marcelo Prudente
Manoel Jacobsen Teixeira
Almir Ferreira de Andrade

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of patients in the emergency room department (ER) through more accurate imaging methods such as computed tomography (CT) has revolutionized their assistance in the early 80s. However, despite technical improvements seen during the last decade, surgical planning in the ER has not followed the development of image acquisition methods. The authors present their experience with DICOM image processing as a navigation method in the ER. The authors present 18 patients treated in the Emergency Department of the Hospital das Clínicas of the University of Sao Paulo. All patients were submitted to volumetric CT. We present patients with epidural hematomas, acute/subacute subdural hematomas and contusional hematomas. Using a specific program to analyze images in DICOM format (OsiriX(®)), the authors performed the appropriate surgical planning. The use of 3D surgical planning made it possible to perform procedures more accurately and less invasively, enabling better postoperative outcomes. All sorts of neurosurgical emergency pathologies can be treated appropriately with no waste of time. The three-dimensional processing of images in the preoperative evaluation is easy and possible even within the emergency care. It should be used as a tool to reduce the surgical trauma and it may dispense methods of navigation in many cases.

Indexed as

Emergency Service, HospitalSoftwareAdultHematomaHumansImaging, Three-DimensionalMaleMiddle AgedNeuronavigationNeurosurgical ProceduresTomography, X-Ray Computed

Identifiers

PMID23681091
PMCPMC3690066

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.