Evidence map›Paper›PMID 27845933›Full record

ArticlePhysics in medicine and biology2016

Feasibility study of Compton cameras for x-ray fluorescence computed tomography with humans.

Don Vernekohl, Moiz Ahmad, Garry Chinn, Lei Xing

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 8% 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, 21 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Don VernekohlDepartment of Radiation Oncology, Stanford University, Stanford, CA 94305, USA.
Moiz AhmadDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.
Garry ChinnDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.
Lei XingDepartment of Radiation Oncology, Stanford University, Stanford, CA 94305, USA.
Stanford University · US

Funding

Computational Tools for Next Generation Volumetric Cone Beam Computed TomographyR01EB016777 · NIBIB · STANFORD UNIVERSITY · PI XING, LEI · 2013 to 2016
$2.1M
Computational Tools for Adaptive Radiation TherapyR01CA133474 · NCI · STANFORD UNIVERSITY · PI XING, LEI · 2009 to 2012
$960k
NCI NIH HHS R01 CA133474NIBIB NIH HHS R01 EB016777
6 · The paper itself

Abstract

X-ray fluorescence imaging is a promising imaging technique able to depict the spatial distributions of low amounts of molecular agents in vivo. Currently, the translation of the technique to preclinical and clinical applications is hindered by long scanning times as objects are scanned with flux-limited narrow pencil beams. The study presents a novel imaging approach combining x-ray fluorescence imaging with Compton imaging. Compton cameras leverage the imaging performance of XFCT and abolish the need for pencil beam excitation. The study examines the potential of this new imaging approach on the base of Monte-Carlo simulations. In the work, it is first presented that the particular option of slice/fan-beam x-ray excitation has advantages in image reconstruction in regard of processing time and image quality compared to traditional volumetric Compton imaging. In a second experiment, the feasibility of the approach for clinical applications with tracer agents made from gold nano-particles is examined in a simulated lung scan scenario. The high energy of characteristic x-ray photons from gold is advantageous for deep tissue penetration and has lower angular blurring in the Compton camera. It is found that Doppler broadening in the first detector stage of the Compton camera adds the largest contribution on the angular blurring; physically limiting the spatial resolution. Following the analysis of the results from the spatial resolution test, resolutions in the order of one centimeter are achievable with the approach in the center of the lung. The concept of Compton imaging allows one to distinguish to some extent between scattered photons and x-ray fluorescent photons based on their difference in emission position. The results predict that molecular sensitivities down to 240 pM l

Indexed as

Gamma CamerasPhantoms, ImagingFeasibility StudiesGoldHumansImage Processing, Computer-AssistedLung DiseasesMetal NanoparticlesMonte Carlo MethodPhotonsSpectrometry, FluorescenceTomography, X-Ray ComputedGold

Identifiers

PMID27845933
PMCPMC5940452
OpenAlexW2555321421

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.