TY - JOUR
T1 - The mechanisms of arterial signal intensity profile in non-contrast coronary MRA (NC-MRCA)
T2 - a 3D printed phantom investigation and clinical translations
AU - Kato, Yoko
AU - Noda, Chikara
AU - Ambale-Venkatesh, Bharath
AU - Ortman, Jason M.
AU - Kassai, Yoshimori
AU - Lima, Joao A.C.
AU - Liu, Chia Ying
N1 - Funding Information:
The authors thank Jaclyn Sesso, our research nurse, for the participant recruitment and for providing care for the participants; Jennifer Wagner, our research collaborator from Canon Medical Systems, for supporting the MRI scans; Karan Kapoor, our cardiologist, for attending the clinical MRI scans; and Ryan Stewart, our collaborator from Johns Hopkins Biomedical Engineering, for 3D-printing the phantom. This study was supported by Canon Medical Systems Corporation, grant # 16–00632.
Funding Information:
The authors thank Jaclyn Sesso, our research nurse, for the participant recruitment and for providing care for the participants; Jennifer Wagner, our research collaborator from Canon Medical Systems, for supporting the MRI scans; Karan Kapoor, our cardiologist, for attending the clinical MRI scans; and Ryan Stewart, our collaborator from Johns Hopkins Biomedical Engineering, for 3D-printing the phantom. This study was supported by Canon Medical Systems Corporation, grant # 16–00632.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature B.V.
PY - 2023/1
Y1 - 2023/1
N2 - Signal intensity (SI) drop has been proposed as an indirect stenosis assessment in non-contrast coronary MRA (NC-MRCA) but it uses unproven assumptions. We aimed to clarify the mechanisms that govern the SI in vitro and develop a stenosis detection method in vivo. Flow phantom tubes with/without stenosis were scanned under two spatial resolutions (0.5/1.0 mm3) on a 3.0 T MRI. Thirty-two coronary arteries from 11 volunteers were prospectively scanned with an EKG- and respiratory-gated 3D NC-MRCA with a resolution of 1.0 mm3, with coronary computed tomography angiography (CTA) as reference. The normalized SI along the centerline of the tubes or the coronary arteries was assessed against the distance from the orifice using a linear regression model. Its coefficient (SI decay slope) and goodness-of-fit (R2) were extracted to assess the effect of flow velocity and stenosis on the SI profile curve. The R2 was utilized for the stenosis detection. Phantom study: A slow flow velocity caused a steep SI decay slope. The SI drop revealed only at the inlet and outlet of stenosis due to the flow turbulence/vortex and yielded low R2, in which shape changed by the resolution. Clinical study: The R2 cutoff to detect ≥ 50% stenosis for the left and right coronary arteries were 0.64 and 0.20 with a sensitivity/specificity of 71.5/71.5 and 66.7/100 (%), respectively. The SI drop did not reflect the actual stenosis position and not suitable for the stenosis localization. The R2 cutoff represents an alternative method to detect stenoses on NC-MRCA at vessel level. Trial registration: ClinicalTrials.gov; NCT03768999, registered on December 7, 2018.
AB - Signal intensity (SI) drop has been proposed as an indirect stenosis assessment in non-contrast coronary MRA (NC-MRCA) but it uses unproven assumptions. We aimed to clarify the mechanisms that govern the SI in vitro and develop a stenosis detection method in vivo. Flow phantom tubes with/without stenosis were scanned under two spatial resolutions (0.5/1.0 mm3) on a 3.0 T MRI. Thirty-two coronary arteries from 11 volunteers were prospectively scanned with an EKG- and respiratory-gated 3D NC-MRCA with a resolution of 1.0 mm3, with coronary computed tomography angiography (CTA) as reference. The normalized SI along the centerline of the tubes or the coronary arteries was assessed against the distance from the orifice using a linear regression model. Its coefficient (SI decay slope) and goodness-of-fit (R2) were extracted to assess the effect of flow velocity and stenosis on the SI profile curve. The R2 was utilized for the stenosis detection. Phantom study: A slow flow velocity caused a steep SI decay slope. The SI drop revealed only at the inlet and outlet of stenosis due to the flow turbulence/vortex and yielded low R2, in which shape changed by the resolution. Clinical study: The R2 cutoff to detect ≥ 50% stenosis for the left and right coronary arteries were 0.64 and 0.20 with a sensitivity/specificity of 71.5/71.5 and 66.7/100 (%), respectively. The SI drop did not reflect the actual stenosis position and not suitable for the stenosis localization. The R2 cutoff represents an alternative method to detect stenoses on NC-MRCA at vessel level. Trial registration: ClinicalTrials.gov; NCT03768999, registered on December 7, 2018.
KW - 3D-printed phantom
KW - Coronary stenosis detection
KW - Deep learning-based denoising
KW - Non-contrast coronary MRA
KW - SI profile curve
KW - Transluminal attenuation gradient (TAG)
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U2 - 10.1007/s10554-022-02700-1
DO - 10.1007/s10554-022-02700-1
M3 - Article
C2 - 36598690
AN - SCOPUS:85135845567
SN - 1569-5794
VL - 39
SP - 209
EP - 220
JO - International Journal of Cardiovascular Imaging
JF - International Journal of Cardiovascular Imaging
IS - 1
ER -