Evidence map›Paper›PMID 30417162›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2018

Optimization of Energy Combination for Gold-based Contrast Agents below K-edges in Dual-energy Micro-CT.

Yuan Yuan, Yanbo Zhang, Hengyong Yu

Abstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Shock index as a predictor for mortality in trauma patients: a systematic review and meta-analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
    Pooled it
  2. Article
  3. Spectral Photon Counting CT: Imaging Algorithms and Performance Assessment.IEEE transactions on radiation and plasma medical sciences · 2021
    Article
  4. 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

3 authors.

Yuan YuanDepartment of Physics and Applied Physics, University of Massachusetts Lowell, Lowell, MA, 01854 USA.
Yanbo ZhangDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Hengyong YuDepartment of Electrical and Computer Engineering, University of Massachusetts Lowell, Lowell, MA, 01854, USA.

Funding

High dose efficiency CT SystemU01EB017140 · NIBIB · STANFORD UNIVERSITY · PI EDIC, PETER, PELC, NORBERT J. · 2014 to 2018
$5.4M
NIBIB NIH HHS U01 EB017140
6 · The paper itself

Abstract

Dual-energy micro-Computed Tomography provides high resolution non-invasive images at low cost. It can determine the concentrations of component materials in a mixture. Taking the advantages of K-edge, the gold-based agents contribute to improve the contrast of some physiological tissues with low natural contrast. Because the K-edge of gold (80.7 kVp) is excessively high, the anatomical structures could not be identified clearly in in vivo small animal experiments. In this study, the energy combination below K-edge is optimized to differentiate bone, soft tissue and gold. Furthermore, we evaluate the effects of concentration of contrast agents, the extrinsic filtration setting and dose level. Based on the quantitative analysis results of material decomposition, the optimized energy pair gathered in a certain range where the low-energy is 30kVp-40kVp. Our results can provide a practical guidance for the design of in vivo small animal experiments using gold-based contrast agents.

Indexed as

Dual-energy mirco-CTenergy combinationgold-based contrast agentsmaterial decomposition

Identifiers

PMID30417162
PMCPMC6219615

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Registered trials

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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.