Evidence map›Paper›PMID 35187545›Full record

Article... International Symposium on Medical Robotics. International Symposium on Medical Robotics2021

Towards Automatic Robotic Calibration System for Flexible Needles with FBG Sensors.

Kefan Song, Dimitri A Lezcano, Ge Sun, Jin Seob Kim, Iulian I Iordachita

Open access · greenAbstract read
In one paragraph

Article in ... International Symposium on Medical Robotics. International Symposium on Medical Robotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Device-Specific Calibration Methods for Optical Frequency Domain Reflectometry-Based Shape Sensing in Catheters and Surgical Needles.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  2. Article
  3. Article
  4. Optical Fiber -Based Needle Shape Sensing: Three-channel Single Core vs. Multicore Approaches.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2023
    Article
  5. 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 1 institution in 1 country.

Kefan SongDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Dimitri A LezcanoDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Ge SunDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jin Seob KimDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Iulian I IordachitaDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
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

There has been much research exploring the use of fiber Bragg grating (FBG)-sensorized needles in the prostate biopsy procedure, but all FBG needles used in the research need to be calibrated, which is time consuming and prone to human errors. In this work, a semi-automatic robotic system was developed to perform FBG needle calibration. Compared to manual calibration results, the robotic system is able to calibrate FBG needles with the similar level of accuracy as achieved by an experienced manual operator, thus reducing the time cost during the needle calibration process.

Indexed as

automatic calibrationFiber Bragg Gratingneedle shape sensing

Identifiers

PMID35187545
PMCPMC8855976
OpenAlexW4205285365

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.