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Title: MYOCARDIAL BLOOD FLOW WITH [15O]H2O PET: ERROR ESTIMATES


1
MYOCARDIAL BLOOD FLOW WITH 15OH2O PETERROR
ESTIMATES
Turku PET Centre Vesa Oikonenhttp//users.utu.fi/
vesoik/
TPC modelling workshop 2005-09-14
2
Model parameters
  • MBFmyocardial blood flow in perfusable tissue
    volume
  • aperfusable tissue fraction, PTF
  • VAmyocardial blood volume fraction and
    spill-over from LV cavity

3
MBF model is fitted
  1. to ROI curves drawn on LV cavity (lv) and on
    entire myocardial tissue surrounding the cavity
    (whole) to estimate virtual arterial blood
    concentration, CA(t)
  2. To smaller myocardial ROIs using CA(t) as model
    input.

4
Results of MBF model fit
  • fitmbf 2.1.3 (c) 1999-2005 by Turku PET Centre
  • Date 2005-09-13
  • Study s05851dy
  • Data file S05851\s05851.dft
  • Reference region lv All
  • Data range 0 - 360 sec (N20)
  • Beta 0.85
  • Data was not weighted.
  • Region flow alpha Va
    SS AIC
  • lat . All 0.8120 0.6564
    0.2671 9.5215e001 3.8708e001
  • ant . All 0.8613 0.6391
    0.2036 1.2060e002 4.3434e001
  • sept . All 0.7151 0.5245
    0.4841 1.9348e002 5.2888e001
  • whole . All 0.8353 0.6329
    0.2863 4.8313e001 2.5140e001

(Weighted) Sum-of-squaresdescribing
goodness-of-fit
Estimates of model parameters
Akaike information criteriafor comparison
betweenmodels
5
Error estimate for each model parameter
  • 95 confidence limits and/or standard
    deviations
  • With command-line options-CL and SD
  • Bootstrap method (Efron and Tibshirani, 1993
    Turkheimer et al., 1998)
  • Starting from fitmbf version 2.1.0,2005-07-15

6
Measured and fitted TACs
7
Results with error estimates
  • fitmbf 2.1.3 (c) 1999-2005 by Turku PET Centre
  • Date 2005-09-13
  • Study s05851dy
  • Data file S05851\s05851.dft
  • Reference region lv All
  • Data range 0 - 360 sec (N20)
  • Beta 0.85
  • Data was not weighted.
  • Region flow alpha Va
    SS AIC
  • lat . All 0.8120 0.6564
    0.2671 9.5215e001 3.8708e001
  • SD . . 0.0456 0.0164
    0.0163 . .
  • CL 95 Lower 0.7241 0.6228
    0.2364 . .
  • CL 95 Upper 0.9012 0.6849
    0.2955 . .
  • ant . All 0.8613 0.6391
    0.2036 1.2060e002 4.3434e001
  • SD . . 0.0529 0.0193
    0.0191 . .
  • CL 95 Lower 0.7701 0.6073
    0.1674 . .
  • CL 95 Upper 0.9690 0.6768
    0.2376 . .
  • sept . All 0.7151 0.5245
    0.4841 1.9348e002 5.2888e001

8
Larger errors with higher MBF
  • BASAL study
  • Region flow alpha Va
    SS AIC
  • lat . All 0.7259 0.6577
    0.1498 6.3335e001 3.0554e001
  • SD . . 0.0493 0.0176
    0.0176 . .
  • ant . All 0.6751 0.5503
    0.2290 7.2341e001 3.3213e001
  • SD . . 0.0596 0.0186
    0.0187 . .
  • sept . All 0.5756 0.5703
    0.4679 3.4841e002 6.4653e001
  • SD . . 0.1109 0.0401
    0.0370 . .
  • whole . All 0.6823 0.5924
    0.2555 7.0570e001 3.2717e001
  • SD . . 0.0627 0.0193
    0.0197 . .
  • Stimulation
  • Region flow alpha Va
    SS AIC
  • lat . All 4.1351 0.7403
    0.0500 7.1618e001 3.3012e001
  • SD . . 0.4198 0.0486
    0.0461 . .
  • ant . All 2.8656 0.4734
    0.2891 1.3123e002 4.5125e001
  • SD . . 0.8369 0.0922
    0.0906 . .
  • sept . All 4.9285 0.7674
    0.2390 1.6528e002 4.9738e001
  • SD . . 1.0812 0.1251
    0.1183 . .

9
with confidence limits
  • fitmbf 2.1.3 (c) 1999-2005 by Turku PET Centre
  • Date 2005-09-13
  • Study s06003dy
  • Data file S06002\s06003.dft
  • Reference region lv All
  • Data range 0 - 360 sec (N20)
  • Beta 0.85
  • Data was not weighted.
  • Region flow alpha Va
    SS AIC
  • lat . All 4.1351 0.7403
    0.0500 7.1618e001 3.3012e001
  • CL 95 Lower 3.3282 0.6074
    0.0228 . .
  • CL 95 Upper 4.9667 0.7831
    0.1776 . .
  • ant . All 2.8656 0.4734
    0.2891 1.3123e002 4.5125e001
  • CL 95 Lower 1.5818 0.3160
    0.0794 . .
  • CL 95 Upper 4.7635 0.6941
    0.4426 . .
  • sept . All 4.9285 0.7674
    0.2390 1.6528e002 4.9738e001
  • CL 95 Lower 2.9679 0.5418
    0.0292 . .
  • CL 95 Upper 6.9406 0.9908
    0.4528 . .

10
Reduce SD by constraining a
  • a during stimulation study is constrained to the
    estimate from basal conditions
  • With command-line options-fAlpha and
    -fbasal.res,when using fitmbf 2.1.0 and later
    versions
  • Also VA can be constrained with option-fVa.

11
after constraints for a
  • fitmbf 2.1.3 (c) 1999-2005 by Turku PET Centre
  • Date 2005-09-13
  • Study s06003dy
  • Data file S06002\s06003.dft
  • Reference file results\s06002mbf1.res
  • Reference region lv All
  • Data range 0 - 360 sec (N20)
  • Beta 0.85
  • Data was not weighted.
  • Region flow alpha Va
    SS AIC
  • lat . All 3.5534 0.6577
    0.1283 7.6282e001 3.1480e001
  • CL 95 Lower 2.8580 0.6577
    0.1096 . .
  • CL 95 Upper 4.3003 0.6577
    0.1494 . .
  • ant . All 3.4219 0.5503
    0.2140 1.3465e002 4.2845e001
  • CL 95 Lower 2.5938 0.5503
    0.1865 . .
  • CL 95 Upper 4.6877 0.5503
    0.2379 . .
  • sept . All 3.2420 0.5703
    0.4294 1.7751e002 4.8372e001
  • CL 95 Lower 2.3396 0.5703
    0.4071 . .

12
constraints for a and VA
  • fitmbf 2.1.3 (c) 1999-2005 by Turku PET Centre
  • Date 2005-09-13
  • Study s06003dy
  • Data file ..\S06002\s06003.dft
  • Reference file s06002mbf1.res
  • Reference region lv All
  • Data range 0 - 360 sec (N20)
  • Beta 0.85
  • Data was not weighted.
  • Region flow alpha Va
    SS AIC
  • lat . All 3.0499 0.6577
    0.1498 9.4997e001 3.3384e001
  • CL 95 Lower 2.6776 0.6577
    0.1498 . .
  • CL 95 Upper 3.4477 0.6577
    0.1498 . .
  • ant . All 2.9320 0.5503
    0.2290 1.4408e002 4.1715e001
  • CL 95 Lower 2.3330 0.5503
    0.2290 . .
  • CL 95 Upper 3.6193 0.5503
    0.2290 . .
  • sept . All 2.3688 0.5703
    0.4679 2.2999e002 5.1068e001
  • CL 95 Lower 1.9069 0.5703
    0.4679 . .

13
Constraints or not?
  • Calculate results without and with constraints
    (a, a and VA, VA)
  • Select the method that gives constantly smaller
    AIC

14
References
  1. Araujo LI, Lammertsma AA, Rhodes CG, McFalls EO,
    Iida H, Rechavia E, Galassi A, De Silva R, Jones
    T, Maseri A. Noninvasive quantification of
    regional myocardial blood flow in coronary artery
    disease with oxygen-15-labeled carbon dioxide
    inhalation and positron emission tomography.
    Circulation 1991 83 875-885.
  2. Efron B, Tibshirani RJ. An introduction to the
    bootstrap. (1993) Chapman Hall, New York.
  3. Iida H, Rhodes CG, de Silva R, Yamamoto Y, Araujo
    LI, Maseri A, Jones T. Myocardial tissue fraction
    correction for partial volume effects and
    measure of tissue viability. J. Nucl. Med. 1991
    322169-2175.
  4. Iida H, Rhodes CG, de Silva R, Araujo LI,
    Bloomfield P, Lammertsma AA, Jones T. Use of the
    left ventricular time-activity curve as a
    noninvasive input function in dynamic
    oxygen-15-water positron emission tomography. J.
    Nucl. Med. 1992 331669-1677.
  5. Turkheimer F, Sokoloff L, Bertoldo A, Lucignani
    G, Reivich M, Jaggi JL, Schmidt K. Estimation of
    component and parameter distributions in spectral
    analysis. J. Cereb. Blood Flow Metabol. 1998 18
    1211-1222.
  6. Watabe H, Jino H, Kawachi N, Teramoto N, Hayashi
    T, Ohta Y, Iida H. Parametric imaging of
    myocardial blood flow with 15O-water and PET
    using the basis function method. J. Nucl. Med.
    2005 46 1219-1224.

15
More information
  • Detailed report TPCMOD0005http//www.turkupetcent
    re.net/reports/
  • Analysis instructionshttp//www.turkupetcentre.ne
    t/analysis/doc/tracer/mbf_h2o.html
  • Bootstrap method in estimation of variance of
    model parametershttp//www.turkupetcentre.net/mod
    elling/workshop1/bootstrap.ppt
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