Evidence map›Paper›PMID 26239371›Full record

ArticleInternational journal of computer assisted radiology and surgery2016

Laser-assisted flat-detector CT-guided intracranial access.

Daniel L Cooke, Michael R Levitt, Louis J Kim, Danial K Hallam, Laligam N Sekhar, Basavaraj V Ghodke

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Article in International journal of computer assisted radiology and surgery, 2016. 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

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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.

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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

6 authors.

Daniel L CookeDivision of Neurointerventional Radiology, Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA.
Michael R LevittDepartment of Neurological Surgery, Harborview Medical Center, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA, 98104-2499, USA. mlevitt@u.washington.edu.
Louis J KimDepartment of Neurological Surgery, Harborview Medical Center, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA, 98104-2499, USA.
Danial K HallamDepartment of Neurological Surgery, Harborview Medical Center, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA, 98104-2499, USA.
Laligam N SekharDepartment of Neurological Surgery, Harborview Medical Center, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA, 98104-2499, USA.
Basavaraj V GhodkeDepartment of Neurological Surgery, Harborview Medical Center, University of Washington, 325 Ninth Avenue, Box 359924, Seattle, WA, 98104-2499, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFlat-detector CT can be integrated with C-arm fluoroscopy for CT-guided neurosurgical and endovascular procedures. We studied the accuracy of this technique with laser assistance in targeting intracranial lesions in a cranial model.

methodsAn acrylic scale-model skull containing foam parenchyma was embedded with 2.16-mm-diameter targets. A flat-detector CT was acquired and registered to the skull's position. Ten targets were accessed with biopsy needles under fluoroscopic guidance, flat-detector CT overlay, and laser assistance. Accuracy was measured from the needle tip to the target center using flat-detector CT.

resultsTen targets were accessed successfully using XperGuide software. Needles were placed within 1.30 [Formula: see text] 0.63 mm of target isocenter. Accuracy did not vary by entry site, operator, location, or lesion depth.

conclusionsLaser-assisted flat-detector CT-guided targeting of all intracranial targets was successful with excellent accuracy. This technique can be applied to other minimally invasive neurosurgical procedures.

Indexed as

Biopsy, NeedleBrain NeoplasmsFluoroscopyHumansLasersPhantoms, ImagingRadiotherapy Planning, Computer-AssistedReference ValuesTomography, X-Ray ComputedBiopsyC-armCone beam computed tomographyDimensional measurement accuracyFlat-panel detectorImage-guided surgeryPhantom study

Identifiers

PMID26239371

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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.