Evidence map›Paper›PMID 28649154›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2017

Skin dose mapping for non-uniform x-ray fields using a backscatter point spread function.

Sarath Vijayan, Zhenyu Xiong, Alok Shankar, Stephen Rudin, Daniel R Bednarek

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2017. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Monte Carlo investigation of backscatter point spread function for X-ray imaging examinations.Proceedings of SPIE--the International Society for Optical Engineering · 2017
    Article
  5. Organ and effective dose reduction for region-of-interest (ROI) CBCT and fluoroscopy.Proceedings of SPIE--the International Society for Optical Engineering · 2017
    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.

Sarath VijayanToshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
Zhenyu XiongToshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
Alok ShankarToshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
Stephen RudinToshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
Daniel R BednarekToshiba Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.

Funding

Micro-Radiographic Imager for Neuroovascular InterventionsR01EB002873 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI RUDIN, STEPHEN · 2003 to 2015
$5.6M
NIBIB NIH HHS R01 EB002873
6 · The paper itself

Abstract

Beam shaping devices like ROI attenuators and compensation filters modulate the intensity distribution of the x-ray beam incident on the patient. This results in a spatial variation of skin dose due to the variation of primary radiation and also a variation in backscattered radiation from the patient. To determine the backscatter component, backscatter point spread functions (PSF) are generated using EGS Monte-Carlo software. For this study, PSF's were determined by simulating a 1 mm beam incident on the lateral surface of an anthropomorphic head phantom and a 20 cm thick PMMA block phantom. The backscatter PSF's for the head phantom and PMMA phantom are curve fit with a Lorentzian function after being normalized to the primary dose intensity (PSF

Indexed as

backscattercompensation filterdoseEGSnrcpoint spread functionROI attenuator

Identifiers

PMID28649154
PMCPMC5478926

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.