Evidence map›Paper›PMID 32032785›Full record

ArticleWorld neurosurgery2020

Initial Experience with Using a Structured Light 3D Scanner and Image Registration to Plan Bedside Subdural Evacuating Port System Placement.

Hansen Bow, Xiaochen Yang, Silky Chotai, Michael Feldman, Hong Yu, Dario J Englot, Michael I Miga, Sumit Pruthi, Benoit M Dawant, Scott L Parker

Open access · greenAbstract read
In one paragraph

Article in World neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. A hybrid feature-based patient-to-image registration method for robot-assisted long bone osteotomy.International journal of computer assisted radiology and surgery · 2021
    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 2 institutions in 1 country.

Hansen BowDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA. Electronic address: hansen.c.bow@vumc.org.
Xiaochen YangDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Silky ChotaiDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Michael FeldmanDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Hong YuDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Dario J EnglotDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Michael I MigaDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Sumit PruthiDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Benoit M DawantDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Scott L ParkerDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Multimodal Registration of the Brain's Cortical SurfaceR01NS049251 · NINDS · VANDERBILT UNIVERSITY · PI GOLBY, ALEXANDRA J, MIGA, MICHAEL IAN · 2005 to 2018
$6.7M
NINDS NIH HHS R01 NS049251
6 · The paper itself

Abstract

backgroundChronic subdural hematoma evacuation can be achieved in select patients through bedside placement of the Subdural Evacuation Port System (SEPS; Medtronic, Inc., Dublin, Ireland). This procedure involves drilling a burr hole at the thickest part of the hematoma. Identifying this location is often difficult, given the variable tilt of available imaging and distant anatomic landmarks. This paper evaluates the feasibility and accuracy of a bedside navigation system that relies on visible light-based 3-dimensional (3D) scanning and image registration to a pre-procedure computed tomography scan. The information provided by this system may increase accuracy of the burr hole location.

methodsIn Part 1, the accuracy of this system was evaluated using a rigid 3D printed phantom head with implanted fiducials. In Part 2, the navigation system was tested on 3 patients who underwent SEPS placement.

resultsThe error in registration of this system was less than 2.5 mm when tested on a rigid 3D printed phantom head. Fiducials located in the posterior aspect of the head were difficult to reliably capture. For the 3 patients who underwent 5 SEPS placements, the distance between anticipated SEPS burr hole location based on registration and actual burr hole location was less than 1cm.

conclusionsA bedside cranial navigation system based on 3D scanning and image registration has been introduced. Such a system may increase the success rate of bedside procedures, such as SEPS placement. However, technical challenges such as the ability to scan hair and practical challenges such as minimization of patient movement during scans must be overcome.

Indexed as

Imaging, Three-DimensionalNeuronavigationCraniotomyHematoma, Subdural, ChronicHumansModels, AnatomicNeurosurgical ProceduresPrinting, Three-DimensionalTomography, X-Ray Computed3D printing3D scanningChronic subdural hematomaImage registrationSEPS

Identifiers

PMID32032785
PMCPMC7354700
OpenAlexW3004491109

What OpenQuestion holds

Textmetadata
LicenceTDM
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.