Non-invasive coronary physiology based on computational analysis of intracoronary transluminal attenuation gradient

Yong Gyun Bae, Seung Tae Hwang, Huan Han, Sung Mok Kim, Hyung Yoon Kim, Il Park, Joo Myung Lee, Young June Moon, Jin Ho Choi

Research output: Contribution to journalArticle

Abstract

Invasive procedure is a prerequisite for studying coronary physiology. We established the measurement of non-invasive physiological parameters including coronary blood flow (CBF), flow velocity, and microvascular resistance using coronary computed tomography angiography (CCTA). Vessel-specific CBF was derived from transluminal attenuation flow encoding (TAFE) and then tested using three separate datasets consisted of computational simulation, human perfusion CT, and human CCTA. TAFE-derived CBF correlated well with measured vessel-specific myocardial blood flow and CBF. TAFE-derived CBF per myocardial mass consistently decreased with the progressive severity of stenosis, and it was found to better to detect significant stenosis than transluminal attenuation gradient (TAG). With the addition of vessel anatomy, TAFE-derived CBF could calculate flow velocity and microvascular resistance. The results of non-invasively acquired parameters according to the severity of stenosis were similar to those obtained through invasive physiology studies. Our study demonstrated that non-invasive comprehensive coronary physiology parameters can be derived from CCTA without any pre-specified condition or performing complex heavy computational processes. Our findings are expected to expand the clinical coverage of CCTA and coronary physiology.

Original languageEnglish
Article number4692
JournalScientific Reports
Volume8
Issue number1
DOIs
Publication statusPublished - 2018 Dec 1

Fingerprint

Pathologic Constriction
Anatomy
Coronary Vessels
Perfusion
Computed Tomography Angiography
Datasets

ASJC Scopus subject areas

  • General

Cite this

Non-invasive coronary physiology based on computational analysis of intracoronary transluminal attenuation gradient. / Bae, Yong Gyun; Hwang, Seung Tae; Han, Huan; Kim, Sung Mok; Kim, Hyung Yoon; Park, Il; Lee, Joo Myung; Moon, Young June; Choi, Jin Ho.

In: Scientific Reports, Vol. 8, No. 1, 4692, 01.12.2018.

Research output: Contribution to journalArticle

Bae, Yong Gyun ; Hwang, Seung Tae ; Han, Huan ; Kim, Sung Mok ; Kim, Hyung Yoon ; Park, Il ; Lee, Joo Myung ; Moon, Young June ; Choi, Jin Ho. / Non-invasive coronary physiology based on computational analysis of intracoronary transluminal attenuation gradient. In: Scientific Reports. 2018 ; Vol. 8, No. 1.
@article{a060b9d40c614ddeb3bd462fefa54b05,
title = "Non-invasive coronary physiology based on computational analysis of intracoronary transluminal attenuation gradient",
abstract = "Invasive procedure is a prerequisite for studying coronary physiology. We established the measurement of non-invasive physiological parameters including coronary blood flow (CBF), flow velocity, and microvascular resistance using coronary computed tomography angiography (CCTA). Vessel-specific CBF was derived from transluminal attenuation flow encoding (TAFE) and then tested using three separate datasets consisted of computational simulation, human perfusion CT, and human CCTA. TAFE-derived CBF correlated well with measured vessel-specific myocardial blood flow and CBF. TAFE-derived CBF per myocardial mass consistently decreased with the progressive severity of stenosis, and it was found to better to detect significant stenosis than transluminal attenuation gradient (TAG). With the addition of vessel anatomy, TAFE-derived CBF could calculate flow velocity and microvascular resistance. The results of non-invasively acquired parameters according to the severity of stenosis were similar to those obtained through invasive physiology studies. Our study demonstrated that non-invasive comprehensive coronary physiology parameters can be derived from CCTA without any pre-specified condition or performing complex heavy computational processes. Our findings are expected to expand the clinical coverage of CCTA and coronary physiology.",
author = "Bae, {Yong Gyun} and Hwang, {Seung Tae} and Huan Han and Kim, {Sung Mok} and Kim, {Hyung Yoon} and Il Park and Lee, {Joo Myung} and Moon, {Young June} and Choi, {Jin Ho}",
year = "2018",
month = "12",
day = "1",
doi = "10.1038/s41598-018-23134-7",
language = "English",
volume = "8",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

TY - JOUR

T1 - Non-invasive coronary physiology based on computational analysis of intracoronary transluminal attenuation gradient

AU - Bae, Yong Gyun

AU - Hwang, Seung Tae

AU - Han, Huan

AU - Kim, Sung Mok

AU - Kim, Hyung Yoon

AU - Park, Il

AU - Lee, Joo Myung

AU - Moon, Young June

AU - Choi, Jin Ho

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Invasive procedure is a prerequisite for studying coronary physiology. We established the measurement of non-invasive physiological parameters including coronary blood flow (CBF), flow velocity, and microvascular resistance using coronary computed tomography angiography (CCTA). Vessel-specific CBF was derived from transluminal attenuation flow encoding (TAFE) and then tested using three separate datasets consisted of computational simulation, human perfusion CT, and human CCTA. TAFE-derived CBF correlated well with measured vessel-specific myocardial blood flow and CBF. TAFE-derived CBF per myocardial mass consistently decreased with the progressive severity of stenosis, and it was found to better to detect significant stenosis than transluminal attenuation gradient (TAG). With the addition of vessel anatomy, TAFE-derived CBF could calculate flow velocity and microvascular resistance. The results of non-invasively acquired parameters according to the severity of stenosis were similar to those obtained through invasive physiology studies. Our study demonstrated that non-invasive comprehensive coronary physiology parameters can be derived from CCTA without any pre-specified condition or performing complex heavy computational processes. Our findings are expected to expand the clinical coverage of CCTA and coronary physiology.

AB - Invasive procedure is a prerequisite for studying coronary physiology. We established the measurement of non-invasive physiological parameters including coronary blood flow (CBF), flow velocity, and microvascular resistance using coronary computed tomography angiography (CCTA). Vessel-specific CBF was derived from transluminal attenuation flow encoding (TAFE) and then tested using three separate datasets consisted of computational simulation, human perfusion CT, and human CCTA. TAFE-derived CBF correlated well with measured vessel-specific myocardial blood flow and CBF. TAFE-derived CBF per myocardial mass consistently decreased with the progressive severity of stenosis, and it was found to better to detect significant stenosis than transluminal attenuation gradient (TAG). With the addition of vessel anatomy, TAFE-derived CBF could calculate flow velocity and microvascular resistance. The results of non-invasively acquired parameters according to the severity of stenosis were similar to those obtained through invasive physiology studies. Our study demonstrated that non-invasive comprehensive coronary physiology parameters can be derived from CCTA without any pre-specified condition or performing complex heavy computational processes. Our findings are expected to expand the clinical coverage of CCTA and coronary physiology.

UR - http://www.scopus.com/inward/record.url?scp=85044268843&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044268843&partnerID=8YFLogxK

U2 - 10.1038/s41598-018-23134-7

DO - 10.1038/s41598-018-23134-7

M3 - Article

AN - SCOPUS:85044268843

VL - 8

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 4692

ER -