Evidence map›Paper›PMID 31738082›Full record

ArticleThe British journal of radiology2020

Coronary artery to aortic luminal attenuation ratio in coronary CT angiography for the diagnosis of haemodynamically significant coronary artery stenosis.

Tomofumi Misaka, Yuki Sugitani, Nobuyuki Asato, Yuko Matsukubo, Masanobu Uemura, Ryuichiro Ashikaga, Takayuki Ishida

Abstract readComparative Study
In one paragraph

Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tomofumi MisakaDepartment of Medical Physics and Engineering, Graduate School of Medicine, Osaka University 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Yuki SugitaniDepartment of Cardiology, Kindai University Nara Hospital, 1248‑1, Otoda‑cho, Ikoma, Nara, 630-0293, Japan.
Nobuyuki AsatoDepartment of Radiology, Kindai University Nara Hospital, 1248‑1, Otoda‑cho, Ikoma, Nara, Japan.
Yuko MatsukuboDepartment of Radiology, Kindai University Nara Hospital, 1248‑1, Otoda‑cho, Ikoma, Nara, Japan.
Masanobu UemuraDepartment of Radiology, Kindai University Nara Hospital, 1248‑1, Otoda‑cho, Ikoma, Nara, Japan.
Ryuichiro AshikagaDepartment of Radiology, Kindai University Nara Hospital, 1248‑1, Otoda‑cho, Ikoma, Nara, Japan.
Takayuki IshidaDepartment of Medical Physics and Engineering, Graduate School of Medicine, Osaka University 1-7 Yamadaoka, Suita, Osaka, 565-0871, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess and compare the diagnostic performance of the coronary artery to aortic luminal attenuation ratio (CAR), transluminal attenuation gradient (TAG), and corrected coronary opacification (CCO) difference on coronary CT angiography (cCTA) for detecting haemodynamically significant coronary artery stenosis.

methods33 patients who underwent cCTA, gated SPECT myocardial perfusion imaging (MPI), and invasive coronary angiography within 3 months were included in this retrospective study. The degree of coronary stenosis on cCTA was visually assessed in all patients. Additionally, CAR, TAG, and CCO difference were analyzed and calculated in all patients. Haemodynamically significant coronary stenosis was defined as a vessel with ≥50% luminal stenosis on invasive coronary angiography and an associated abnormal perfusion defect on MPI in the same territory. Diagnostic performance was assessed on a per-vessel basis by the area under the receiver operating characteristic (ROC) curve (AUC).

resultsAmong 99 vessels, 12 were excluded and the remaining 87 were analyzed. 17 (19.5%) vessels were determined as haemodynamically significant coronary artery stenosis. On ROC analysis, the AUC was 0.71 for cCTA, 0.80 for CAR, 0.61 for TAG, 0.74 for CCO, 0.87 for combined CAR and cCTA, 0.77 for combined TAG and cCTA, and 0.75 for combined CCO and cCTA. The AUC for combined CAR and cCTA was significantly greater compared with cCTA alone (

conclusionNon-invasive CAR derived from 64-detector row CT was feasible and might be helpful for the detection of haemodynamically significant coronary artery stenosis. Still, further investigations such as intra- and inter-reader correlation, evaluation of larger numbers in different settings, and time efficiency are required for applying CAR in various situations. ADVANCES IN KNOWLEDGE: CAR could be used as novel noninvasive technique to detect haemodynamically significant coronary artery stenosis.

Indexed as

AgedAorta, ThoracicComputed Tomography AngiographyCoronary AngiographyCoronary StenosisFemaleHemodynamicsHumansMaleRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesTomography, Emission-Computed, Single-Photon

Identifiers

PMID31738082
PMCPMC6948078

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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.