Evidence map›Paper›PMID 29589976›Full record

ArticleThe British journal of radiology2018

The transluminal attenuation gradient in coronary CT angiography for the detection of hemodynamically significant disease: can all arteries be treated equally?

Shinichiro Fujimoto, Andreas A Giannopoulos, Kanako K Kumamaru, Rie Matsumori, Anji Tang, Etsuro Kato, Yuko Kawaguchi, Kazuhisa Takamura, Katsumi Miyauchi, Hiroyuki Daida and 2 more

Abstract read
In one paragraph

Article in The British journal of radiology, 2018. 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
1.3field-weighted citation impact, top 20% 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, 9 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

12 authors at 5 institutions in 4 countries.

Shinichiro Fujimoto1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Andreas A Giannopoulos2 Department of Radiology, Applied Imaging Science Laboratory, Brigham and Women's Hospital, Harvard Medical School , Boston, MA , USA.
Kanako K Kumamaru2 Department of Radiology, Applied Imaging Science Laboratory, Brigham and Women's Hospital, Harvard Medical School , Boston, MA , USA.
Rie Matsumori1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Anji Tang2 Department of Radiology, Applied Imaging Science Laboratory, Brigham and Women's Hospital, Harvard Medical School , Boston, MA , USA.
Etsuro Kato1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Yuko Kawaguchi1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Kazuhisa Takamura1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Katsumi Miyauchi1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Hiroyuki Daida1 Department of Cardiovascular Medicine, Juntendo University Graduate School of Medicine , Tokyo , Japan.
Frank J Rybicki5 The Ottawa Hospital Research Institute , Ottawa, ON , Canada.
Dimitris Mitsouras2 Department of Radiology, Applied Imaging Science Laboratory, Brigham and Women's Hospital, Harvard Medical School , Boston, MA , USA.
Juntendo University · JPBrigham and Women's Hospital · USHarvard University · USOttawa Hospital · CAOttawa Hospital Research Institute

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveResults of the use of the transluminal attenuation gradient (TAG) at coronary CT angiography (CCTA) to predict hemodynamically significant disease vary widely. This study tested whether diagnostic performance of TAG to predict fractional flow reserve (FFR) ≤ 0.8 is improved when applied separately to subsets of coronary arteries that carry similar physiological flow.

methods28 patients with 64 × 0.5 mm CCTA and invasive FFR in ≥1 major coronary artery were retrospectively evaluated. Two readers assessed TAG in each artery. The receiver operating characteristic (ROC) area under the curve (AUC) was used to assess the diagnostic performance of TAG to detect hemodynamically significant disease following a clinical use rule [negative: FFR > 0.8 or ≤ 25% diameter stenosis (DS) at invasive catheter angiography; positive: FFR ≤ 0.8 or ≥ 90% DS at invasive catheter angiography]. ROC AUC was compared for all arteries pooled together, vs separately for arteries carrying similar physiological flow (Group 1: all left anterior descending plus right-dominant left circumflex; Group 2: right-dominant RCA plus left/co-dominant left circumflex).

resultsOf the 84 arteries, 30 had FFR measurements, 30 had ≤25% DS and 13 had ≥90% DS. 11 arteries with 26-89% DS and no FFR measurement were excluded. TAG interobserver reproducibility was excellent (Pearson r = 0.954, Bland-Altman bias: 0.224 Hounsfield unit cm

conclusionIncorporating information on the physiology of coronary flow via the particular vessel interrogated and coronary dominance may improve the accuracy of TAG, a simple measurement that can be quickly performed at the time of CCTA interpretation to detect hemodynamically significant stenosis in individual coronary arteries. Advances in knowledge: The interpretation of TAG may benefit by incorporating information regarding which coronary artery is being interrogated.

Indexed as

AgedComputed Tomography AngiographyCoronary AngiographyCoronary DiseaseFemaleHemodynamicsHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective Studies

Identifiers

PMID29589976
PMCPMC6221776
OpenAlexW2794956040

What OpenQuestion holds

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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.