Evidence map›Paper›PMID 34635580›Full record

ReviewJournal of neurointerventional surgery2022

How to iGuide: flat panel detector, CT-assisted, minimally invasive evacuation of intracranial hematomas.

David Dornbos Iii, Cathra Halabi, Julie DiNitto, Kerstin Mueller, David Fiorella, Daniel L Cooke, Adam S Arthur

Abstract readReview
In one paragraph

Review in Journal of neurointerventional surgery, 2022. 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. 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

7 authors.

David Dornbos IiiDepartment of Neurosurgery, University of Kentucky, Lexington, Kentucky, USA.ORCID http://orcid.org/0000-0002-0039-0016
Cathra HalabiDepartment of Neurology, University of California San Francisco, San Francisco, California, USA.
Julie DiNittoDepartment of Research and Development, Siemens Medical Solutions USA Inc, Malvern, Pennsylvania, USA.
Kerstin MuellerDepartment of Research and Development, Siemens Medical Solutions USA Inc, Malvern, Pennsylvania, USA.
David FiorellaDepartment of Neurosurgery, Stony Brook University, Stony Brook, New York, USA.ORCID http://orcid.org/0000-0002-2677-8780
Daniel L CookeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Adam S ArthurDepartment of Neurosurgery, University of Tennessee Health Science Center, Memphis, Tennessee, USA aarthur@semmes-murphey.com.ORCID http://orcid.org/0000-0002-1536-1613

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence is growing to support minimally invasive surgical evacuation of intraparenchymal hematomas, particularly those with minimal residual hematoma volumes following evacuation. To maximize the potential for neurologic recovery, it is imperative that the trajectory for access to the hematoma minimizes disruption of normal parenchyma. Flat panel detector CT-based navigation and needle guidance software provides a platform that uses flat panel detector CT imaging obtained on the angiography table to aid reliable and safe access to the hematoma. In addition to providing a high degree of accuracy, this method also allows convenient and rapid re-imaging to assess navigation accuracy and the degree of hematoma evacuation prior to procedural completion. We provide a practical review of the

Indexed as

Cerebral HemorrhageHematomaHumansMinimally Invasive Surgical ProceduresTomography, X-Ray ComputedTreatment Outcomehemorrhagetechnology

Identifiers

PMID34635580
PMCPMC9016242

What OpenQuestion holds

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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.