PMID- 28202246
OWN - NLM
STAT- MEDLINE
DCOM- 20170816
LR  - 20170816
IS  - 1876-861X (Electronic)
IS  - 1876-861X (Linking)
VI  - 11
IP  - 2
DP  - 2017 Mar-Apr
TI  - Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model 
      using third generation dual-source CT.
PG  - 141-147
LID - S1934-5925(17)30025-4 [pii]
LID - 10.1016/j.jcct.2017.01.012 [doi]
AB  - PURPOSE: To evaluate the relationship between fractional flow reserve 
      (FFR)-determined coronary artery stenosis severity and myocardial perfusion 
      parameters derived from dynamic myocardial CT perfusion imaging (CTP) in an 
      ex-vivo porcine heart model. METHODS: Six porcine hearts were perfused according 
      to Langendorff. Circulatory parameters such as arterial blood flow (ABF) (L/min), 
      mean arterial pressure (MAP) (mmHg) and heart rate (bpm) were monitored. Using an 
      inflatable cuff and monitored via a pressure wire, coronary artery stenoses of 
      different FFR grades were created (no stenosis, FFR = 0.80, FFR = 0.70, 
      FFR = 0.60, and FFR = 0.50). Third generation dual-source CT was used to perform 
      dynamic CTP in shuttle mode at 70 kV. Using the AHA-16-segment model, myocardial 
      blood flow (MBF) (mL/100 mL/min) and volume (MBV) (mL/100 mL) were analyzed using 
      dedicated software for all ischaemic and non-ischaemic segments. RESULTS: During 
      five successful experiments, ABF ranged from 0.8 to 1.2 L/min, MAP from 73 to 
      90 mmHg and heart rate from 83 to 115 bpm. Non-ischaemic and ischaemic segments 
      showed significant differences in MBF for stenosis grades of FFR </= 0.70. At this 
      degree of obstruction, median MBF was 79 (interquartile range [IQR]: 66-90) for 
      non-ischaemic segments versus 56 mL/100 mL/min (IQR: 46-73) for ischaemic 
      segments (p < 0.05). For MBV, a significant difference was found at FFR </= 0.80 
      with median MBV values of 7.6 (IQR: 7.0-8.3) and 7.1 mL/100 mL (IQR: 6.0-8.2) for 
      non-ischaemic and ischaemic myocardial segments, respectively (p < 0.05). 
      CONCLUSION: Artificial flow alterations in a Langendorff porcine heart model 
      could be detected and measured by CTP-derived myocardial perfusion parameters and 
      showed significant systematic correlation with stepwise flow reduction that 
      permitted early detection of ischaemic myocardium. Additional research in 
      clinical setting is required to develop absolute quantitative CTP.
CI  - Copyright (c) 2017 Society of Cardiovascular Computed Tomography. Published by 
      Elsevier Inc. All rights reserved.
FAU - Pelgrim, Gert Jan
AU  - Pelgrim GJ
AD  - University of Groningen, University Medical Center Groningen, Center for Medical 
      Imaging - North East Netherlands, Hanzeplein 1, 9713 GZ, Groningen, The 
      Netherlands.
FAU - Duguay, Taylor M
AU  - Duguay TM
AD  - Medical University of South Carolina, Department of Radiology, 25 Courtenay 
      Drive, 29425 SC, Charleston, SC, USA.
FAU - Stijnen, J Marco A
AU  - Stijnen JM
AD  - LifeTec Group BV, Kennedyplein 10-11, 5611 ZS, Eindhoven, The Netherlands.
FAU - Varga-Szemes, Akos
AU  - Varga-Szemes A
AD  - Medical University of South Carolina, Department of Radiology, 25 Courtenay 
      Drive, 29425 SC, Charleston, SC, USA.
FAU - Van Tuijl, Sjoerd
AU  - Van Tuijl S
AD  - LifeTec Group BV, Kennedyplein 10-11, 5611 ZS, Eindhoven, The Netherlands.
FAU - Schoepf, U Joseph
AU  - Schoepf UJ
AD  - Medical University of South Carolina, Department of Radiology, 25 Courtenay 
      Drive, 29425 SC, Charleston, SC, USA.
FAU - Oudkerk, Matthijs
AU  - Oudkerk M
AD  - University of Groningen, University Medical Center Groningen, Center for Medical 
      Imaging - North East Netherlands, Hanzeplein 1, 9713 GZ, Groningen, The 
      Netherlands.
FAU - Vliegenthart, Rozemarijn
AU  - Vliegenthart R
AD  - University of Groningen, University Medical Center Groningen, Center for Medical 
      Imaging - North East Netherlands, Hanzeplein 1, 9713 GZ, Groningen, The 
      Netherlands; University of Groningen, University Medical Center Groningen, 
      Department of Radiology, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. 
      Electronic address: r.vliegenthart@umcg.nl.
LA  - eng
PT  - Journal Article
DEP - 20170203
PL  - United States
TA  - J Cardiovasc Comput Tomogr
JT  - Journal of cardiovascular computed tomography
JID - 101308347
SB  - IM
MH  - Animals
MH  - Arterial Pressure
MH  - Blood Flow Velocity
MH  - *Computed Tomography Angiography
MH  - Coronary Angiography/*methods
MH  - Coronary Stenosis/*diagnostic imaging/physiopathology
MH  - Coronary Vessels/*diagnostic imaging/physiopathology
MH  - Disease Models, Animal
MH  - *Fractional Flow Reserve, Myocardial
MH  - Heart Rate
MH  - Isolated Heart Preparation
MH  - Models, Cardiovascular
MH  - Myocardial Perfusion Imaging/*methods
MH  - Predictive Value of Tests
MH  - Radiographic Image Interpretation, Computer-Assisted
MH  - Severity of Illness Index
MH  - Sus scrofa
OTO - NOTNLM
OT  - Animal model
OT  - Iodine
OT  - Ischemia
OT  - Myocardial perfusion imaging
OT  - Tomography
OT  - X-ray computed
EDAT- 2017/02/17 06:00
MHDA- 2017/08/17 06:00
CRDT- 2017/02/17 06:00
PHST- 2016/09/29 00:00 [received]
PHST- 2017/01/29 00:00 [accepted]
PHST- 2017/02/17 06:00 [pubmed]
PHST- 2017/08/17 06:00 [medline]
PHST- 2017/02/17 06:00 [entrez]
AID - S1934-5925(17)30025-4 [pii]
AID - 10.1016/j.jcct.2017.01.012 [doi]
PST - ppublish
SO  - J Cardiovasc Comput Tomogr. 2017 Mar-Apr;11(2):141-147. doi: 
      10.1016/j.jcct.2017.01.012. Epub 2017 Feb 3.