Evidence map›Paper›PMID 31832907›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Development of a robot-assisted ultrasound-guided radiation therapy (USgRT).

Peter Karl Seitz, Beatrice Baumann, Wibke Johnen, Cord Lissek, Johanna Seidel, Rolf Bendl

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Online advance respiration prediction model for percutaneous puncture robotics.International journal of computer assisted radiology and surgery · 2024
    Article
  4. Landmark tracking in 4D ultrasound using generalized representation learning.International journal of computer assisted radiology and surgery · 2023
    Article
  5. Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking.International journal of computer assisted radiology and surgery · 2022
    Article
  6. Article
  7. Automatic ultrasound scanning robotic system with optical waveguide-based force measurement.International journal of computer assisted radiology and surgery · 2021
    Article
  8. Robot-Assisted Image-Guided Interventions.Frontiers in robotics and AI · 2021
    Review
  9. Article
  10. 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

6 authors.

Peter Karl SeitzDepartment of Medical Physics in Radiation Oncology, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany. p.seitz@dkfz-heidelberg.de.ORCID http://orcid.org/0000-0003-4750-6351
Beatrice BaumannMedical Informatics, Heilbronn University, Max-Planck-Str. 39, 74081, Heilbronn, Germany.
Wibke JohnenDepartment of Medical Physics in Radiation Oncology, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Cord LissekMedical Informatics, Heilbronn University, Max-Planck-Str. 39, 74081, Heilbronn, Germany.
Johanna SeidelMedical Informatics, Heilbronn University, Max-Planck-Str. 39, 74081, Heilbronn, Germany.
Rolf BendlDepartment of Medical Physics in Radiation Oncology, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRadiation treatment is improved by the use of image-guided workflows. This work pursues the approach of using ultrasound (US) as a real-time imaging modality. The primary focus of this study is to develop and test a breathing and motion control for a robotic-guided US transducer. All control functions of the robot and the US image processing were then integrated into one software platform enabling US-guided radiation therapy.

methodsThe robot (KUKA LBR iiwa 7 R800) and the US image processing workflows were integrated into the Medical Interaction Toolkit (MITK) (Nolden et al. in Int J Comput Assist Radiol Surg 8(4):607-620, 2013). The positions of the US probe were tracked with an optical tracking system. As a main function of robot positioning control, a highly sensitive breathing and motion compensation method was developed using KUKA's robotic application programming interface. The resulting autonomous robot motions were tested by the use of defined breathing patterns with two volunteers. Furthermore, a filter pipeline for 3D US image processing with MITK was developed. Thus, image registration of US images and previously acquired planning image data was enabled.

resultsThe implemented breathing and motion compensation feature was successful with the addition of the remote rotating, translating capability of the US probe. Desired force applied to the US probe, and thus to the patient, is stable and enables a continuous US imaging. The developed filter pipeline for image processing facilitates registration and display of planning data and US image data in one graphical user interface.

conclusionA stable and robust method for motion compensation for robot-assisted US imaging was developed and tested successfully. This is a first step toward the safe use of autonomous robot motions in interaction with patients. Furthermore, main software components were integrated into a single platform and used with the purpose of ultrasound-guided radiation therapy.

Indexed as

HumansImage Processing, Computer-AssistedImaging, Three-DimensionalMotionRadiotherapy, Computer-AssistedRoboticsSoftwareUltrasonography, InterventionalCombining modalitiesImage-guided radiation therapy (IGRT)RoboticUltrasound

Identifiers

PMID31832907

What OpenQuestion holds

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Registered trials

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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.