Evidence map›Paper›PMID 33883650›Full record

ArticleScientific reports2021

Design and analysis of a fiber-optic sensing system for shape reconstruction of a minimally invasive surgical needle.

Aizhan Issatayeva, Aida Amantayeva, Wilfried Blanc, Daniele Tosi, Carlo Molardi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for Prostate Interventions.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2024
    Article
  6. Article
  7. Article
  8. Rayleigh-Based Distributed Optical Fiber Sensing.Sensors (Basel, Switzerland) · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. 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

5 authors at 2 institutions in 2 countries.

Aizhan IssatayevaDepartment of Computer and Electrical Engineering, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Aida AmantayevaDepartment of Computer and Electrical Engineering, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Wilfried BlancUniversité Côte d'Azur, INPHYNI-CNRS UMR 7010, Nice, 06108, France.
Daniele TosiDepartment of Computer and Electrical Engineering, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan.
Carlo MolardiDepartment of Computer and Electrical Engineering, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan. carlo.molardi@nu.edu.kz.
Nazarbayev University · KZCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the performance analysis of the system for real-time reconstruction of the shape of the rigid medical needle used for minimally invasive surgeries. The system is based on four optical fibers glued along the needle at 90 degrees from each other to measure distributed strain along the needle from four different sides. The distributed measurement is achieved by the interrogator which detects the light scattered from each section of the fiber connected to it and calculates the strain exposed to the fiber from the spectral shift of that backscattered light. This working principle has a limitation of discriminating only a single fiber because of the overlap of backscattering light from several fibers. In order to use four sensing fibers, the Scattering-Level Multiplexing (SLMux) methodology is applied. SLMux is based on fibers with different scattering levels: standard single-mode fibers (SMF) and MgO-nanoparticles doped fibers with a 35-40 dB higher scattering power. Doped fibers are used as sensing fibers and SMFs are used to spatially separate one sensing fiber from another by selecting appropriate lengths of SMFs. The system with four fibers allows obtaining two pairs of opposite fibers used to reconstruct the needle shape along two perpendicular axes. The performance analysis is conducted by moving the needle tip from 0 to 1 cm by 0.1 cm to four main directions (corresponding to the locations of fibers) and to four intermediate directions (between neighboring fibers). The system accuracy for small bending (0.1-0.5 cm) is 90[Formula: see text] and for large bending (0.6-1 cm) is approximately 92[Formula: see text].

Identifiers

PMID33883650
PMCPMC8060330
OpenAlexW3156833131

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.