Evidence map›Paper›PMID 27806580›Full record

ArticleMedical physics2016

Robotic intrafractional US guidance for liver SABR: System design, beam avoidance, and clinical imaging.

Jeffrey Schlosser, Ren Hui Gong, Ralf Bruder, Achim Schweikard, Sungjune Jang, John Henrie, Aya Kamaya, Albert Koong, Daniel T Chang, Dimitre Hristov

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.0field-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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Increasing Reachability in Robotic Ultrasound Through Base Placement and Tool Design.The international journal of medical robotics + computer assisted surgery : MRCAS · 2025
    Article
  3. Review
  4. AI-based optimization for US-guided radiation therapy of the prostate.International journal of computer assisted radiology and surgery · 2022
    Article
  5. Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    Article
  6. Article
  7. Review
  8. Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy.International journal of computer assisted radiology and surgery · 2019
    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

10 authors at 2 institutions in 2 countries.

Jeffrey SchlosserSoniTrack Systems Inc., Palo Alto, California 94304.
Ren Hui GongDepartment of Radiation Oncology, School of Medicine, Stanford University, Stanford, California 94305.
Ralf BruderInstitute for Robotics and Cognitive Systems, University of Luebeck, Luebeck 23538, Germany.
Achim SchweikardInstitute for Robotics and Cognitive Systems, University of Luebeck, Luebeck 23538, Germany.
Sungjune JangBiorobotics Lab, Department of Mechanical Engineering, Stanford University, Stanford, California 94305.
John HenrieBiorobotics Lab, Department of Mechanical Engineering, Stanford University, Stanford, California 94305.
Aya KamayaDepartment of Radiology, School of Medicine, Stanford University, Stanford, California 94305.
Albert KoongDepartment of Radiation Oncology, School of Medicine, Stanford University, Stanford, California 94305.
Daniel T ChangDepartment of Radiation Oncology, School of Medicine, Stanford University, Stanford, California 94305.
Dimitre HristovDepartment of Radiation Oncology, School of Medicine, Stanford University, Stanford, California 94305.
Stanford University · USUniversity of Lübeck · DE

Funding

Robotic Ultrasound Image Guidance System for Radiation TherapyR41CA174089 · NCI · SONITRACK SYSTEMS, INC. · PI HRISTOV, DIMITRE HRISTOV, SCHLOSSER, JEFFREY STEVEN · 2012 to 2013
$379k
NCI NIH HHS R41 CA174089
6 · The paper itself

Abstract

purposeTo present a system for robotic 4D ultrasound (US) imaging concurrent with radiotherapy beam delivery and estimate the proportion of liver stereotactic ablative body radiotherapy (SABR) cases in which robotic US image guidance can be deployed without interfering with clinically used VMAT beam configurations.

methodsThe image guidance hardware comprises a 4D US machine, an optical tracking system for measuring US probe pose, and a custom-designed robot for acquiring hands-free US volumes. In software, a simulation environment incorporating the LINAC, couch, planning CT, and robotic US guidance hardware was developed. Placement of the robotic US hardware was guided by a target visibility map rendered on the CT surface by using the planning CT to simulate US propagation. The visibility map was validated in a prostate phantom and evaluated in patients by capturing live US from imaging positions suggested by the visibility map. In 20 liver SABR patients treated with VMAT, the simulation environment was used to virtually place the robotic hardware and US probe. Imaging targets were either planning target volumes (PTVs, range 5.9-679.5 ml) or gross tumor volumes (GTVs, range 0.9-343.4 ml). Presence or absence of mechanical interference with LINAC, couch, and patient body as well as interferences with treated beams was recorded.

resultsFor PTV targets, robotic US guidance without mechanical interference was possible in 80% of the cases and guidance without beam interference was possible in 60% of the cases. For the smaller GTV targets, these proportions were 95% and 85%, respectively. GTV size (1/20), elongated shape (1/20), and depth (1/20) were the main factors limiting the availability of noninterfering imaging positions. The robotic US imaging system was deployed in two liver SABR patients during CT simulation with successful acquisition of 4D US sequences in different imaging positions.

conclusionsThis study indicates that for VMAT liver SABR, robotic US imaging of a relevant internal target may be possible in 85% of the cases while using treatment plans currently deployed in the clinic. With beam replanning to account for the presence of robotic US guidance, intrafractional US may be an option for 95% of the liver SABR cases.

Indexed as

Dose Fractionation, RadiationRoboticsEquipment FailureHumansLiver NeoplasmsRadiosurgeryRadiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedUltrasonography

Identifiers

PMID27806580
PMCPMC5065568
OpenAlexW2531325898

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.