Evidence map›Paper›PMID 32221327›Full record

ArticleScientific reports2020

Biologically Inspired Catheter for Endovascular Sensing and Navigation.

Erin E Sutton, Bernhard Fuerst, Reza Ghotbi, Noah J Cowan, Nassir Navab

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

2 citing papers in PubMed.

  1. Smart Catheters for Diagnosis, Monitoring, and Therapy.Advanced healthcare materials · 2026
    Review
  2. 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

5 authors.

Erin E Sutton *Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States. erin.sutton@jhuapl.edu.ORCID http://orcid.org/0000-0003-3586-2383
Bernhard Fuerst *Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States.
Reza GhotbiDepartment of Vascular Surgery, HELIOS Klinikum München West, Munich, Germany.
Noah J CowanDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States.ORCID http://orcid.org/0000-0003-2502-3770
Nassir NavabDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive treatment of vascular disease demands dynamic navigation through complex blood vessel pathways and accurate placement of an interventional device, which has resulted in increased reliance on fluoroscopic guidance and commensurate radiation exposure to the patient and staff. Here we introduce a guidance system inspired by electric fish that incorporates measurements from a newly designed electrogenic sensory catheter with preoperative imaging to provide continuous feedback to guide vascular procedures without additional contrast injection, radiation, image registration, or external tracking. Electrodes near the catheter tip simultaneously create a weak electric field and measure the impedance, which changes with the internal geometry of the vessel as the catheter advances through the vasculature. The impedance time series is then mapped to a preoperative vessel model to determine the relative position of the catheter within the vessel tree. We present navigation in a synthetic vessel tree based on our mapping technique. Experiments in a porcine model demonstrated the sensor's ability to detect cross-sectional area variation in vivo. These initial results demonstrate the capability and potential of this novel bioimpedance-based navigation technology as a non-fluoroscopic technique to augment existing imaging methods.

Indexed as

CathetersAnimalsEndovascular ProceduresEquipment DesignFemaleFluoroscopyImaging, Three-DimensionalSurgery, Computer-AssistedSwine

Identifiers

PMID32221327
PMCPMC7101317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.