Evidence map›Paper›PMID 28321804›Full record

ArticleInternational journal of computer assisted radiology and surgery2017

On the reproducibility of expert-operated and robotic ultrasound acquisitions.

Risto Kojcev, Ashkan Khakzar, Bernhard Fuerst, Oliver Zettinig, Carole Fahkry, Robert DeJong, Jeremy Richmon, Russell Taylor, Edoardo Sinibaldi, Nassir Navab

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

23 citing papers in PubMed, 70 citations in OpenAlex.

  1. Personalized scan path planning for robotic ultrasound in head and neck lesions.International journal of computer assisted radiology and surgery · 2026
    Article
  2. Observational
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  5. Review
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  10. The Fusion of Robotics and Imaging: A Vision of the Future.Methodist DeBakey cardiovascular journal · 2025
    Review
  11. Article
  12. Article
  13. Robotic Assisted Ultrasound-Guided Endovascular Stent Implantation in a Vascular Model.The international journal of medical robotics + computer assisted surgery : MRCAS · 2024
    Article
  14. Review
  15. Article
  16. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

Risto KojcevComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.
Ashkan KhakzarComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA. camp@jhu.edu.
Bernhard FuerstComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.
Oliver ZettinigComputer Aided Medical Procedures, Technische Universität München, Munich, Germany.
Carole FahkryOtolaryngology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Robert DeJongOtolaryngology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Jeremy RichmonDivision of Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA, USA.
Russell TaylorLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Edoardo SinibaldiCenter for Micro-BioRobotics, Istituto Italiano di Tecnologia, Pontedera, Italy.
Nassir NavabComputer Aided Medical Procedures, Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USTechnical University of Munich · DEItalian Institute of Technology · ITMassachusetts Eye and Ear Infirmary · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe present the evaluation of the reproducibility of measurements performed using robotic ultrasound imaging in comparison with expert-operated sonography. Robotic imaging for interventional procedures may be a valuable contribution, but requires reproducibility for its acceptance in clinical routine. We study this by comparing repeated measurements based on robotic and expert-operated ultrasound imaging.

methodsRobotic ultrasound acquisition is performed in three steps under user guidance: First, the patient is observed using a 3D camera on the robot end effector, and the user selects the region of interest. This allows for automatic planning of the robot trajectory. Next, the robot executes a sweeping motion following the planned trajectory, during which the ultrasound images and tracking data are recorded. As the robot is compliant, deviations from the path are possible, for instance due to patient motion. Finally, the ultrasound slices are compounded to create a volume. Repeated acquisitions can be performed automatically by comparing the previous and current patient surface.

resultsAfter repeated image acquisitions, the measurements based on acquisitions performed by the robotic system and expert are compared. Within our case series, the expert measured the anterior-posterior, longitudinal, transversal lengths of both of the left and right thyroid lobes on each of the 4 healthy volunteers 3 times, providing 72 measurements. Subsequently, the same procedure was performed using the robotic system resulting in a cumulative total of 144 clinically relevant measurements. Our results clearly indicated that robotic ultrasound enables more repeatable measurements.

conclusionsA robotic ultrasound platform leads to more reproducible data, which is of crucial importance for planning and executing interventions.

Indexed as

HumansReproducibility of ResultsRoboticsRobotic Surgical ProceduresThyroid GlandUltrasonographyAutonomous acquisitionReproducibilityRobotic ultrasoundThyroidUltrasound acquisition

Identifiers

PMID28321804
OpenAlexW2599839468

What OpenQuestion holds

Textmetadata
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.