Evidence map›Paper›PMID 29131807›Full record

ArticlePhysics in medicine and biology2017

Towards frameless maskless SRS through real-time 6DoF robotic motion compensation.

Andrew H Belcher, Xinmin Liu, Steven Chmura, Kamil Yenice, Rodney D Wiersma

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. A novel SGRT system for real-time optical surface tracking or guidance.Journal of applied clinical medical physics · 2025
    Article
  4. 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.

Andrew H BelcherDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637-1470, United States of America.
Xinmin LiuDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637-1470, United States of America.
Steven ChmuraDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637-1470, United States of America.
Kamil YeniceDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637-1470, United States of America.
Rodney D WiersmaDepartment of Radiation and Cellular Oncology, The University of Chicago, Chicago, IL 60637-1470, United States of America.
University of Chicago · US

Funding

RESEARCH TRAINING IN MEDICAL PHYSICST32EB002103 · NIBIB · UNIVERSITY OF CHICAGO · PI ARMATO, SAMUEL G. · 2003 to 2019
$4.7M
NIBIB NIH HHS T32 EB002103
6 · The paper itself

Abstract

Stereotactic radiosurgery (SRS) uses precise dose placement to treat conditions of the CNS. Frame-based SRS uses a metal head ring fixed to the patient's skull to provide high treatment accuracy, but patient comfort and clinical workflow may suffer. Frameless SRS, while potentially more convenient, may increase uncertainty of treatment accuracy and be physiologically confining to some patients. By incorporating highly precise robotics and advanced software algorithms into frameless treatments, we present a novel frameless and maskless SRS system where a robot provides real-time 6DoF head motion stabilization allowing positional accuracies to match or exceed those of traditional frame-based SRS. A 6DoF parallel kinematics robot was developed and integrated with a real-time infrared camera in a closed loop configuration. A novel compensation algorithm was developed based on an iterative closest-path correction approach. The robotic SRS system was tested on six volunteers, whose motion was monitored and compensated for in real-time over 15 min simulated treatments. The system's effectiveness in maintaining the target's 6DoF position within preset thresholds was determined by comparing volunteer head motion with and without compensation. Comparing corrected and uncorrected motion, the 6DoF robotic system showed an overall improvement factor of 21 in terms of maintaining target position within 0.5 mm and 0.5 degree thresholds. Although the system's effectiveness varied among the volunteers examined, for all volunteers tested the target position remained within the preset tolerances 99.0% of the time when robotic stabilization was used, compared to 4.7% without robotic stabilization. The pre-clinical robotic SRS compensation system was found to be effective at responding to sub-millimeter and sub-degree cranial motions for all volunteers examined. The system's success with volunteers has demonstrated its capability for implementation with frameless and maskless SRS treatments, potentially able to achieve the same or better treatment accuracies compared to traditional frame-based approaches.

Indexed as

MotionRoboticsAlgorithmsArtifactsHeadHumansRadiosurgeryRadiotherapy DosageSoftware

Identifiers

PMID29131807
PMCPMC5927375
OpenAlexW2770338038

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.