Optical Fiber-Based Needle Shape Sensing in Real Tissue: Single Core vs. Multicore Approaches.

Dimitri A Lezcano, Yernar Zhetpissov, Alexandra Cheng, Jin Seob Kim, Iulian I Iordachita

Open access · greenAbstract readPreprint

In one paragraph

Article in ArXiv, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.5field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

Updated by
Optical Fiber-Based Needle Shape Sensing in Real Tissue: Single Core vs. Multicore Approaches.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Dimitri A LezcanoMechanical Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, Maryland 21218, United States.

Yernar ZhetpissovMechanical Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, Maryland 21218, United States.

Alexandra ChengBiomedical Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, Maryland 21218, United States.

Jin Seob KimMechanical Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, Maryland 21218, United States.

Iulian I IordachitaMechanical Engineering, Johns Hopkins University, 3400 North Charles St., Baltimore, Maryland 21218, United States.

Johns Hopkins University · US

Funding

Adaptive Percutaneous Prostate Interventions using Sensorized NeedleR01CA235134 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, IULIAN IOAN IORDACHITA · 2019 to 2026

$3.6M

NCI NIH HHS R01 CA235134

6 · The paper itself

Abstract

Flexible needle insertion procedures are common for minimally-invasive surgeries for diagnosing and treating prostate cancer. Bevel-tip needles provide physicians the capability to steer the needle during long insertions to avoid vital anatomical structures in the patient and reduce post-operative patient discomfort. To provide needle placement feedback to the physician, sensors are embedded into needles for determining the real-time 3D shape of the needle during operation without needing to visualize the needle intra-operatively. Through expansive research in fiber optics, a plethora of bio-compatible, MRI-compatible, optical shape-sensors have been developed to provide real-time shape feedback, such as single-core and multicore fiber Bragg gratings. In this paper, we directly compare single-core fiber-based and multicore fiber-based needle shape-sensing through identically constructed, four-active area sensorized bevel-tip needles inserted into phantom and

Indexed as

fiber-Bragg grating (FBG)flexible needlesmulticore fiberneedle shape-sensingpercutaneous insertions

Identifiers

PMID37731661

PMCPMC10508835

OpenAlexW4386910608

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.