Performance of Automated Software in the Assessment of Segmental Left Ventricular Function in Cardiac CT: Comparison with Cardiac Magnetic Resonance.
OBJECTIVE
To evaluate the accuracy, reliability and time saving potential of a novel cardiac CT (CCT)-based, automated software for the assessment of segmental left ventricular function compared to visual and manual quantitative assessment of CCT and cardiac magnetic resonance (CMR).


METHODS
Forty-seven patients with suspected or known coronary artery disease (CAD) were enrolled in the study. Wall thickening was calculated. Segmental LV wall motion was automatically calculated and shown as a colour-coded polar map. Processing time for each method was recorded.


RESULTS
Mean wall thickness in both systolic and diastolic phases on polar map, CCT, and CMR was 9.2 ± 0.1 mm and 14.9 ± 0.2 mm, 8.9 ± 0.1 mm and 14.5 ± 0.1 mm, 8.3 ± 0.1 mm and 13.6 ± 0.1 mm, respectively. Mean wall thickening was 68.4 ± 1.5 %, 64.8 ± 1.4 % and 67.1 ± 1.4 %, respectively. Agreement for the assessment of LV wall motion between CCT, CMR and polar maps was good. Bland-Altman plots and ICC indicated good agreement between CCT, CMR and automated polar maps of the diastolic and systolic segmental wall thickness and thickening. The processing time using polar map was significantly decreased compared with CCT and CMR.


CONCLUSIONS
Automated evaluation of segmental LV function with polar maps provides similar measurements to manual CCT and CMR evaluation, albeit with substantially reduced analysis time.


CONCLUSIONS
• Cardiac computed tomography (CCT) can accurately assess segmental left ventricular wall function. • A novel automated software permits accurate and fast evaluation of wall function. • The software may improve the clinical implementation of segmental functional analysis.
Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.|Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Rui
R
Wang
Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.|Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
Felix G
FG
Meinel
Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA. schoepf@musc.edu.|Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA. schoepf@musc.edu.
U Joseph
UJ
Schoepf
Siemens Medical Solutions USA, Malvern, PA, USA.
Christian
C
Canstein
Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.
James V
JV
Spearman
Department of Radiology and Radiological Science, Medical University of South Carolina, 25 Courtenay Drive, MSC 226, Charleston, SC, 29425, USA.|Departments of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza", Polo Pontino, Latina, Italy.
Carlo N
CN
De Cecco
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003287:Contrast Media; D005260:Female; D006352:Heart Ventricles / Q000000981:diagnostic imaging / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D011856:Radiographic Image Enhancement; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging* / Q000473:pathology*
D003287:Contrast Media
Cardiac computed tomography; Cardiac function; Cardiac magnetic resonance; Coronary artery disease; Post processing