Evidence map›Paper›PMID 35028557›Full record

ArticleWorld neurosurgery: X2022

Learning Curve Associated with ClearPoint Neuronavigation System: A Case Series.

Birra R Taha, Christian R Osswald, Matthew Rabon, Carolina Sandoval Garcia, Daniel J Guillaume, Xiao Wong, Andrew S Venteicher, David P Darrow, Michael C Park, Robert A McGovern and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World neurosurgery: X, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Single-center longitudinal experience with MRgLITT in pediatric neurosurgery: technical evolution, expanding indications, and advanced MRI-driven planning.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
  2. Review
  3. Review
  4. The Silent Transformation of Stereotactic Brain Biopsies After the Introduction of Robotics.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

12 authors.

Birra R TahaDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Christian R OsswaldClearPoint Neuro, Inc., Irvine, California, USA.
Matthew RabonClearPoint Neuro, Inc., Irvine, California, USA.
Carolina Sandoval GarciaDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Daniel J GuillaumeDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Xiao WongDepartment of Radiology, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Andrew S VenteicherDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
David P DarrowDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Michael C ParkDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Robert A McGovernDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Cornelius H LamDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.
Clark C ChenDepartment of Neurosurgery, University of Minnesota Medical School, Minneapolis, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ClearPoint neuronavigation system affords real-time magnetic resonance imaging (MRI) guidance during stereotactic procedures. While such information confers potential clinical benefits, additional operative time may be needed.

methodsWe conducted a retrospective analysis of procedural time associated with ClearPoint Stereotaxis, with hypothesis that this procedural time is comparable with that associated with frame-based biopsy.

resultsOf the 52 patients evaluated, the total procedural time for ClearPoint stereotactic biopsy averaged 150.0 (±40.4) minutes, of which 111.5 (±16.5) minutes were dedicated to real-time MRI acquisition and trajectory adjustment. This procedural time is within the range of those reported for frame-based needle biopsies. Approximately 5 minutes of the procedural time is related to the mounting of the MRI-compatible stereotactic frame. Based on the procedural time, we estimate that four cases are required in the learning curve to achieve this efficiency. Efficient algorithms for distortion corrections and isocenter localization are keys to ClearPoint stereotaxis. Routine quality assurance/control after each MRI software update and institutional information technology maintenance also contribute to efficiency. Real-time MRI is essential for definitive diagnosis in select cases.

conclusionsClearPoint stereotactic needle biopsy can be achieved in time frames comparable to frame-based stereotaxis. However, procedural efficiency requires 4 "learning curve" cases as well as vigilance in terms of MR distortion correction and information technology maintenance.

Indexed as

ClearPointIMRISIntracranial biopsyIntracranial laser ablationLITT, Laser interstitial thermal therapyMRI, Magnetic resonance imagingNeurosurgeryTargeted drug delivery

Identifiers

PMID35028557
PMCPMC8739880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.