TY - JOUR
T1 - Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT
AU - Išgum, Ivana
AU - de Vos, Bob D.
AU - Wolterink, Jelmer M.
AU - Dey, Damini
AU - Berman, Daniel S.
AU - Rubeaux, Mathieu
AU - Leiner, Tim
AU - Slomka, Piotr J.
PY - 2018/12/15
Y1 - 2018/12/15
N2 - Background: We investigated fully automatic coronary artery calcium (CAC) scoring and cardiovascular disease (CVD) risk categorization from CT attenuation correction (CTAC) acquired at rest and stress during cardiac PET/CT and compared it with manual annotations in CTAC and with dedicated calcium scoring CT (CSCT).Methods and Results: We included 133 consecutive patients undergoing myocardial perfusion 82Rb PET/CT with the acquisition of low-dose CTAC at rest and stress. Additionally, a dedicated CSCT was performed for all patients. Manual CAC annotations in CTAC and CSCT provided the reference standard. In CTAC, CAC was scored automatically using a previously developed machine learning algorithm. Patients were assigned to a CVD risk category based on their Agatston score (0, 1-10, 11-100, 101-400, >400). Agreement in CVD risk categorization between manual and automatic scoring in CTAC at rest and stress resulted in Cohen’s linearly weighted κ of 0.85 and 0.89, respectively. The agreement between CSCT and CTAC at rest resulted in κ of 0.82 and 0.74, using manual and automatic scoring, respectively. For CTAC at stress, these were 0.79 and 0.70, respectively.Conclusion: Automatic CAC scoring from CTAC PET/CT may allow routine CVD risk assessment from the CTAC component of PET/CT without any additional radiation dose or scan time.
AB - Background: We investigated fully automatic coronary artery calcium (CAC) scoring and cardiovascular disease (CVD) risk categorization from CT attenuation correction (CTAC) acquired at rest and stress during cardiac PET/CT and compared it with manual annotations in CTAC and with dedicated calcium scoring CT (CSCT).Methods and Results: We included 133 consecutive patients undergoing myocardial perfusion 82Rb PET/CT with the acquisition of low-dose CTAC at rest and stress. Additionally, a dedicated CSCT was performed for all patients. Manual CAC annotations in CTAC and CSCT provided the reference standard. In CTAC, CAC was scored automatically using a previously developed machine learning algorithm. Patients were assigned to a CVD risk category based on their Agatston score (0, 1-10, 11-100, 101-400, >400). Agreement in CVD risk categorization between manual and automatic scoring in CTAC at rest and stress resulted in Cohen’s linearly weighted κ of 0.85 and 0.89, respectively. The agreement between CSCT and CTAC at rest resulted in κ of 0.82 and 0.74, using manual and automatic scoring, respectively. For CTAC at stress, these were 0.79 and 0.70, respectively.Conclusion: Automatic CAC scoring from CTAC PET/CT may allow routine CVD risk assessment from the CTAC component of PET/CT without any additional radiation dose or scan time.
KW - Automatic calcium scoring
KW - Cardiac CT
KW - Cardiovascular risk
KW - Coronary calcium
KW - CT attenuation correction map
UR - http://www.scopus.com/inward/record.url?scp=85017145178&partnerID=8YFLogxK
U2 - 10.1007/s12350-017-0866-3
DO - 10.1007/s12350-017-0866-3
M3 - Article
C2 - 28378112
AN - SCOPUS:85017145178
SN - 1071-3581
VL - 25
SP - 2133
EP - 2142
JO - Journal of nuclear cardiology
JF - Journal of nuclear cardiology
IS - 6
ER -
