Evidence map›Paper›PMID 29360151›Full record

ArticleMedical physics2018

Compton scatter imaging: A promising modality for image guidance in lung stereotactic body radiation therapy.

Gage Redler, Kevin C Jones, Alistair Templeton, Damian Bernard, Julius Turian, James C H Chu

Abstract read
In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Depth resolved pencil beam radiography using AI - a proof of principle study.Journal of instrumentation : an IOP and SISSA journal · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. 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.

Gage RedlerDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, 60612, USA.
Kevin C JonesDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, 60612, USA.
Alistair TempletonDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, 60612, USA.
Damian BernardDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, 60612, USA.
Julius TurianDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, 60612, USA.
James C H ChuDepartment of Radiation Oncology, Rush University Medical Center, Chicago, IL, 60612, USA.

Funding

Scatter imaging for stereotactic ablative radiation therapy of lung cancerR21CA213407 · NCI · RUSH UNIVERSITY MEDICAL CENTER · PI CHU, JAMES C.H. · 2017 to 2018
$347k
NCI NIH HHS R21 CA213407
6 · The paper itself

Abstract

purposeLung stereotactic body radiation therapy (SBRT) requires delivering large radiation doses with millimeter accuracy, making image guidance essential. An approach to forming images of patient anatomy from Compton-scattered photons during lung SBRT is presented.

methodsTo investigate the potential of scatter imaging, a pinhole collimator and flat-panel detector are used for spatial localization and detection of photons scattered during external beam therapy using lung SBRT treatment conditions (6 MV FFF beam). MCNP Monte Carlo software is used to develop a model to simulate scatter images. This model is validated by comparing experimental and simulated phantom images. Patient scatter images are then simulated from 4DCT data.

resultsExperimental lung tumor phantom images have sufficient contrast-to-noise to visualize the tumor with as few as 10 MU (0.5 s temporal resolution). The relative signal intensity from objects of different composition as well as lung tumor contrast for simulated phantom images agree quantitatively with experimental images, thus validating the Monte Carlo model. Scatter images are shown to display high contrast between different materials (lung, water, bone). Simulated patient images show superior (~double) tumor contrast compared to MV transmission images.

conclusionsCompton scatter imaging is a promising modality for directly imaging patient anatomy during treatment without additional radiation, and it has the potential to complement existing technologies and aid tumor tracking and lung SBRT image guidance.

Indexed as

Scattering, RadiationFour-Dimensional Computed TomographyHumansLung NeoplasmsMonte Carlo MethodPhantoms, ImagingRadiosurgeryRadiotherapy, Image-GuidedIGRTlung SBRTMonte Carloscatter imaging

Identifiers

PMID29360151
PMCPMC5849250

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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.