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Research ArticleClinical Investigation

Quantitation of Poststress Change in Ventricular Morphology Improves Risk Stratification

Robert J.H. Miller, Tali Sharir, Yuka Otaki, Heidi Gransar, Joanna X. Liang, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Balaji K. Tamarappoo, Damini Dey, Daniel S. Berman and Piotr J. Slomka
Journal of Nuclear Medicine November 2021, 62 (11) 1582-1590; DOI: https://doi.org/10.2967/jnumed.120.260141
Robert J.H. Miller
1Department of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada;
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Tali Sharir
3Department of Nuclear Cardiology, Assuta Medical Center, Tel Aviv, Israel;
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Yuka Otaki
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Heidi Gransar
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Joanna X. Liang
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Andrew J. Einstein
4Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center, New York, New York;
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Mathews B. Fish
5Oregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, Oregon;
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Terrence D. Ruddy
6Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada;
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Philipp A. Kaufmann
7Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland;
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Albert J. Sinusas
8Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut;
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Edward J. Miller
8Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, Connecticut;
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Timothy M. Bateman
9Cardiovascular Imaging Technologies LLC, Kansas City, Missouri; and
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Sharmila Dorbala
10Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
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Marcelo Di Carli
10Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women’s Hospital, Boston, Massachusetts
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Balaji K. Tamarappoo
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Damini Dey
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Daniel S. Berman
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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Piotr J. Slomka
2Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California;
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  • FIGURE 1.
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    FIGURE 1.

    (A) Shape index is calculated as ratio of maximal short-axis diameter across all short-axis slices to long-axis length, from apex to mitral valve, using endocardial surface. (B) Patient with abnormal poststress change in shape index but normal poststress change in eccentricity (0.3) who was admitted for unstable angina and underwent revascularization 231 d after SPECT MPI. (C) Eccentricity index calculated from mid-myocardial surface of fitted ellipsoid and not accounting for regional anatomy. (D) Patient with abnormal poststress change in eccentricity index and mildly abnormal poststress change in shape index (0.5) who died 290 d after SPECT MPI. SI = shape index.

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    FIGURE 2.

    Annualized incidence of MACE for deciles of poststress change in shape index. Blue bars (with error bars showing 95% CI) show annualized MACE rates. Values in table reflect total number of events during follow-up. Red line shows mean poststress change in shape index for each decile; mean value is also shown in table.

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    FIGURE 3.

    Annualized incidence of MACE for deciles of change in eccentricity index. Blue bars (with error bars showing 95% CI) show annualized MACE rates. Values in table reflect total number of events during follow-up. Red line shows mean poststress change in eccentricity index for each decile; mean value is also shown in table.

  • FIGURE 4.
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    FIGURE 4.

    Kaplan–Meier survival curves for quartiles of rest, stress, and poststress change in shape index (A, C, and E, respectively) and eccentricity index (B, D, and F, respectively)

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    TABLE 1

    Baseline Population Characteristics

    CharacteristicMACE occurred (n = 2,120)No MACE (n = 11,896)P
    Age (y)69.4 ± 11.863.3 ± 12.1<0.001
    Male1,471 (69.4)6,998 (58.8)<0.001
    Body mass index (kg/m2)28.1 ± 5.728.4 ± 6.30.263
    Past medical history
     Hypertension1,593 (75.1)7,243 (60.9)<0.001
     Diabetes810 (38.2)2,772 (23.3)<0.001
     Dyslipidemia1,534 (72.4)7,219 (60.7)<0.001
     Current smoker421 (19.9)2,712 (22.8)0.003
     PVD462 (21.8)1,637 (13.8)<0.001
     Prior MI549 (25.9)1,532 (12.9)<0.001
     Prior revascularization1,088 (47.6)2,839 (23.9)<0.001
     Family history of CAD451 (21.3)3,274 (27.5)<0.001
     Typical angina159 (7.5)621 (5.2)<0.001
    Resting vital signs
     Systolic BP (mm Hg)136.0 ± 21.2134.2 ± 19.70.001
     Diastolic BP (mm Hg)77.8 ± 9.879.6 ± 9.3<0.001
     Heart rate (bpm)71.4 ± 13.669.6 ± 13.3<0.001
     Exercise stress523 (24.7)5,221 (43.9)<0.001
    • PVD = peripheral vascular disease; MI = myocardial infarction; BP = blood pressure; bpm = beats per minute.

    • Qualitative data are number and percentage; continuous data are mean ± SD.

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    TABLE 2

    Imaging Characteristics

    CharacteristicMACE occurred (n = 2,120)No MACE (n = 11,896)P
    Rest shape index (%)64.9 ± 8.363.9 ± 7.5<0.001
    Stress shape index (%)65.5 ± 8.463.1 ± 7.1<0.001
    Poststress change in shape index(%)0.6 ± 4.0−0.8 ± 4.1<0.001
    Rest eccentricity index (%)80.6 ± 4.781.1 ± 4.6<0.001
    Stress eccentricity index (%)80.2 ± 5.081.3 ± 4.5<0.001
    Poststress change in eccentricity index (%)−0.4 ± 3.00.3 ± 2.8<0.001
    Resting TPD3.8 ± 7.71.6 ± 4.9<0.001
    Stress TPD8.2 ± 9.64.3 ± 6.6<0.001
    Ischemic TPD4.4 ± 4.02.7 ± 3.0<0.001
    Resting LVEF58.6 ± 14.862.8 ± 12.3<0.001
    Reduced LVEF (<40%)251 (11.8)482 (4.1)<0.001
    Stress LVEF56.6 ± 14.362.3 ± 11.9<0.001
    Poststress change in LVEF−1.9 ± 7.1−0.5 ± 7.2<0.001
    Resting LVEDV82.4 ± 45.570.7 ± 33.7<0.001
    Stress LVEDV84.0 ± 46.470.2 ± 34.5<0.001
    Poststress change in LVEDV1.6 ± 12.6−0.57 ± 9.1<0.001
    TID101 (4.8)454 (3.8)0.046
    • LVEDV = LV end diastolic volume.

    • Qualitative data are number and percentage; continuous data are mean ± SD.

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    TABLE 3

    Univariable and Multivariable Associations with MACE

    VariableAdjusted HRP
    Rest shape index (per 10%)1.05 (0.94–1.17)0.370
    Poststress change in shape index (per 10%)1.38 (1.20–1.58)<0.001
    Rest eccentricity index (per 10%)0.97 (0.81–1.17)0.763
    Poststress change in eccentricity index (per 10%)0.80 (0.66–0.98)0.033
    Age1.02 (1.02–1.03)<0.001
    Male1.23 (1.11–1.36)<0.001
    Prior myocardial infarction1.19 (1.06–1.34)0.004
    Prior percutaneous coronary intervention1.69 (1.53–1.87)<0.001
    Prior coronary artery bypass grafting1.14 (1.01–1.28)0.037
    Hypertension1.15 (1.05–1.26)0.002
    Diabetes1.35 (1.25–1.47)<0.001
    Pharmacologic stress1.40 (1.27–1.54)<0.001
    Typical angina1.52 (1.34–1.72)<0.001
    Ischemic electrocardiographic response1.43 (1.29–1.58)<0.001
    Resting TPD1.01 (1.00–1.01)0.065
    Ischemic TPD1.12 (1.11–1.13)<0.001
    Resting LVEF0.99 (0.99–0.99)<0.001
    • Stress shape index and stress eccentricity index were not included in multivariable model because of inclusion of both rest and poststress change in values.

    • Data in parentheses are 95% CIs.

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Journal of Nuclear Medicine: 62 (11)
Journal of Nuclear Medicine
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November 1, 2021
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Quantitation of Poststress Change in Ventricular Morphology Improves Risk Stratification
Robert J.H. Miller, Tali Sharir, Yuka Otaki, Heidi Gransar, Joanna X. Liang, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Balaji K. Tamarappoo, Damini Dey, Daniel S. Berman, Piotr J. Slomka
Journal of Nuclear Medicine Nov 2021, 62 (11) 1582-1590; DOI: 10.2967/jnumed.120.260141

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Quantitation of Poststress Change in Ventricular Morphology Improves Risk Stratification
Robert J.H. Miller, Tali Sharir, Yuka Otaki, Heidi Gransar, Joanna X. Liang, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Balaji K. Tamarappoo, Damini Dey, Daniel S. Berman, Piotr J. Slomka
Journal of Nuclear Medicine Nov 2021, 62 (11) 1582-1590; DOI: 10.2967/jnumed.120.260141
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Keywords

  • SPECT
  • myocardial perfusion
  • ventricular morphology
  • shape index
  • eccentricity index
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