Evidence map›Paper›PMID 25774354›Full record

ArticleCardiovascular diagnosis and therapy2015

Beam hardening artifact reduction using dual energy computed tomography: implications for myocardial perfusion studies.

Gaston A Rodriguez-Granillo, Patricia Carrascosa, Silvina Cipriano, Macarena De Zan, Alejandro Deviggiano, Carlos Capunay, Ricardo C Cury

Abstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. How to perform and evaluate a myocardial perfusion imaging by computed tomography.European heart journal. Imaging methods and practice · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Dual-energy CT and coronary imaging.Cardiovascular diagnosis and therapy · 2020
    Review
  7. Computed tomographic evaluation of myocardial ischemia.Japanese journal of radiology · 2020
    Review
  8. Review
  9. Review
  10. Review
  11. Myocardial CT perfusion imaging for ischemia detection.Cardiovascular diagnosis and therapy · 2017
    Review
  12. Article
  13. Update on Computed Tomography Myocardial Perfusion Imaging.Current cardiovascular imaging reports · 2016
    Article
  14. Review
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

7 authors at 1 institution in 1 country.

Gaston A Rodriguez-Granillo1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Patricia Carrascosa1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Silvina Cipriano1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Macarena De Zan1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Alejandro Deviggiano1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Carlos Capunay1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Ricardo C Cury1 Department of Cardiovascular Imaging, Diagnóstico Maipú, Buenos Aires, Argentina ; 2 Miami Cardiac and Vascular Institute and Baptist Health of South Florida, Miami, FL, USA.
Baptist Hospital of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial computed tomography perfusion (CTP) using conventional single energy (SE) imaging is influenced by the presence of beam hardening artifacts (BHA), occasionally resembling perfusion defects and commonly observed at the left ventricular posterobasal wall (PB). We therefore sought to explore the ability of dual energy (DE) CTP to attenuate the presence of BHA.

methodsConsecutive patients without history of coronary artery disease who were referred for computed tomography coronary angiography (CTCA) due to atypical chest pain and a normal stress-rest SPECT and had absence or mild coronary atherosclerosis constituted the study population. The study group was acquired using DE and the control group using SE imaging.

resultsDemographical characteristics were similar between groups, as well as the heart rate and the effective radiation dose. Myocardial signal density (SD) levels were evaluated in 280 basal segments among the DE group (140 PB segments for each energy level from 40 to 100 keV; and 140 reference segments), and in 40 basal segments (at the same locations) among the SE group. Among the DE group, myocardial SD levels and myocardial SD ratio evaluated at the reference segment were higher at low energy levels, with significantly lower SD levels at increasing energy levels. Myocardial signal-to-noise ratio was not significantly influenced by the energy level applied, although 70 keV was identified as the energy level with the best overall signal-to-noise ratio. Significant differences were identified between the PB segment and the reference segment among the lower energy levels, whereas at ≥70 keV myocardial SD levels were similar. Compared to DE reconstructions at the best energy level (70 keV), SE acquisitions showed no significant differences overall regarding myocardial SD levels among the reference segments.

conclusionsBHA that influence the assessment of myocardial perfusion can be attenuated using DE at 70 keV or higher.

Indexed as

cardiaccomputed tomography (CT)ischemiamyocardial infarctionMyocardial perfusionperfusion defect

Identifiers

PMID25774354
PMCPMC4329162
OpenAlexW1960867385

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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.