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3 Representative Cases of CT Perfusion and MR Perfusion

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10



Evaluation of Myocardial Ischemia Using Perfusion Study



Fig. 10.9 Diagram of relative upslope (RU) for myocardial perfusion

reserve index (MPRI) using the time-intensity curve



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MR signal



RMU=

Blood pool



MU

S0

x 100 %

LVMU

LVS0



LVMU

Myocardial signal

MU

LVS0

S0

TO



a



TTP



Time



b



c



Fig. 10.10 (a) CT angiography of RCA in rest scan shows >70 % stenosis at the PL (arrow). (b) Stress perfusion CT study shows transmural

perfusion defect at the mid-inferior wall (arrows). (c) Rest scan of CT



d



shows reversibility of perfusion defect. MR stress (d) or rest (e) scan also

shows the same perfusion defect pattern of the inferior wall. (f) Coronary

angiography shows severe total occlusion of proximal PL (arrows)



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e



Fig. 10.10 (continued)



J.-W. Kang and S.M. Ko



f



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Evaluation of Myocardial Ischemia Using Perfusion Study



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10.3.2 Multi-vessel Disease



10.3.3 Microvascular Angina



Figure 10.11



Figure 10.12



a



c



b



d



Fig. 10.11 Three-vessel disease with reversible perfusion defect. CT

coronary angiography of RCA (a), LAD (b), and LCX (c) shows multiple severe stenosis (arrows). CT stress perfusion images show transmural perfusion defect on the basal inferior and inferolateral wall (d)

and the anterior wall, septal wall, and lateral walls on the mid-ventricu-



lar level (arrows) (e). These defects are reversible on the rest scan (f, g).

The perfusion defects are seen in the same segments on stress perfusion

(arrows) (h, i) and rest perfusion (j, k) study using MRI. (Please see

dynamic scans using MRI (h–k) using QR code) (http://extras.springer.

com/2015/978-3-642-36396-2)



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J.-W. Kang and S.M. Ko



e



g



i



Fig. 10.11 (continued)



f



h



j



10



Evaluation of Myocardial Ischemia Using Perfusion Study



Fig. 10.11 (continued)



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k



a



b



c



Fig. 10.12 Stress perfusion MRI shows a ring of subendocardial perfusion defect on the entire basal wall (a, b). However, rest perfusion



MRI reveals a normal finding (b). CT angiography reveals normal coronary arteries (c)



J.-W. Kang and S.M. Ko



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10.3.4 Additional Value of CT Perfusion

and MR Perfusion over Coronary

CT Angiography (CCTA)

Figures 10.13 and 10.14

a



c



b



d



e



f



RCA



LAD



10



a



Evaluation of Myocardial Ischemia Using Perfusion Study



149



b



c



Fig. 10.14 Myocardial ischemia diagnosis and small stent in the

LCX. Low-attenuated lesion at the proximal edge of the LCX stent is

seen which is inconclusive for significant stenosis (arrow) (a). Stress

perfusion image shows transmural perfusion defect on the mid-



inferolateral wall (arrow) (b) (http://extras.springer.com/2015/978-3642-36396-2) and reversible defect on the rest-scan image (c). Coronary

angiography shows severe stenosis at the proximal edge of the LCX

stent (arrow) (d)



Fig. 10.13 Myocardial ischemia diagnosis with severely calcified coronary arteries. CT coronary angiography of RCA (a) and LAD (b) with

heavy calcified plaque failed to demonstrate the coronary artery lumen

clearly due to blooming artifact that resulted from calcified plaque.



Stress perfusion study (c) shows transmural perfusion defect only in the

inferior wall (arrows) and reversible defect on rest study (d). Coronary

angiography shows severe stenosis only in the RCA (arrow) (e). There

was no significant stenosis at LAD (arrow) (f)



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d



J.-W. Kang and S.M. Ko



10.4



Limitations and Artifacts of CT

Perfusion and MR Perfusion



10.4.1 CT Perfusion



Fig. 10.14 (continued)



a



Fig. 10.15 Motion artifact in stress perfusion images. Short-axis views

of 65 % (a) and 46 % (b) of R-R interval are not conclusive for the

perfusion defect. Short-axis view of 87 % (c) provides perfusion defect



• Motion artifact is caused by both cardiac and respiratory

motion. Cardiac motion can lead to the appearance of

focal low-attenuated area alternating with high-attenuated

area, and thus mimicking or masking a perfusion defect.

Using beta-blockers, maximizing temporal resolution,

and selecting motionless images are required for

minimizing the motion artifact. Also, reviewing multiphase images is important; motion artifact is not persistent in all phases (Fig. 10.15).

• Beam-hardening artifact occurs in the contrast-enhanced

left ventricular cavity and the descending thoracic aorta

and in the context of bone (ribs, spine, and sternum). The

typical location is the basal inferior and inferolateral wall

(the left ventricular cavity and the descending thoracic

aorta) and the basal anterior wall (the left ventricular cavity and the ribs). This artifact has also a characteristic triangular shape and does not follow the distribution of the

coronary artery territory. Beam-hardening effect correction algorithm helps in removing the artifact (Fig. 10.16).

• Cone-beam artifact occurs when the center of the patient

does not lie at the isocenter of the scanner. It presents as

low- and high-attenuation bands (Fig. 10.17).



b



of the inferior wall. Coronary angiography shows severe stenosis of the

right coronary artery (d)



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Evaluation of Myocardial Ischemia Using Perfusion Study



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c



d



Fig. 10.15 (continued)



a



b



Fig. 10.16 (a) Beam-hardening artifact at the basal inferior wall (arrow). (b) Beam-hardening effect correction algorithm removes the artifact (arrow)



a



b



Fig. 10.17 Cone-beam artifact in the 2-chamber view (a) and the volume-rendered view (b) (arrows)



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