- “ Thus, there could be
displays with distinct properties that are explicitly four-dimensional (e.g., spatial–temporal, spatial–spectral) or five-dimensional (e.g., spatial–temporal–spectral) and be unique for a disease process.”
Adding Dimensions to Unimodal Cardiac Images
Sengupta PP, Marwick TH, Narula J
J Am Coll Cardiol Img 2011;4;816-818 - “The combination of functional and
morphological information processed through a single modality may have relevance for improving the understanding of complex biologic mechanisms involved in routine clinical imaging.”
Adding Dimensions to Unimodal Cardiac Images
Sengupta PP, Marwick TH, Narula J
J Am Coll Cardiol Img 2011;4;816-818 - “ Following further validation, the automated tool in this study could potentially be applied routinely to provide rapid noninvasive quantitative assessment of coronary plaques with coronary CT angiography.”
Automated Three-dimensional Quantification of Noncalcified Coronary Plaque from Coronary CT Angiography: Comparison with Intravascular US
Dey D et al.
Radiology 2010; 257:516-522
- “ Automated scan-specific threshold level-based quantification of plaque components from coronary CT angiography allows rapid, accurate measurement of noncalcified plaque, compared with US.”
Automated Three-dimensional Quantification of Noncalcified Coronary Plaque from Coronary CT Angiography: Comparison with Intravascular US
Dey D et al.
Radiology 2010; 257:516-522 - Computer Assisted Analysis of Coronary Artery Disease
-Goal: can computer analysis software help you provide better analysis and interpretion of a cardiac CTA?
-Goal: can CAD become the second reader for routine CCTA studies?
-Goal: can CAD help provide measureable endpoints to define the quality of your CCTA practice? - The COR Analyzer System
Rcadia Medical Imaging Inc.
Product claims
-Automatically detects suspected significant coronary artery disease
-Enables utlization of CCTA 24/7 in the ER
-Accelerates patient triage
-Results generated with no interection - How does it work? What are the processing steps performed?
-Automatic identification and segmentation of large anatomic structures like the aorta
-Automatic identification of the left and right coronary tree ostia
-Automatic tracking of the coronary tree, and extraction of vessel centerlines
-Automatic filtering of the extracted tree and labeling of major coronary arteries
-Automatic stretching and boundary detection
-Automatic detection of significant stenosis - What is its workflow?
-The patient is scanned and the data reconstructed
T-he scan data is sent to the COR analyzer workstation
-Images are automatically processed and it takes around 5 minutes till the result are available
-Results can be sent to other workstations and/or directly to PACs - CAD Analysis of the Coronary Arteries: Challenge
-Cost of system
-Lack of reimbursement
-Increase in study interpretation time - COR Analyzer Software for Coronary Artery Analysis
-Rcadia
-Auburndale, MA
-Software version 2011
-FDA Approved - CAD Evaluation of the Coronary Arteries: Limitations/Failure
-Poor quality datasets (motion artifact, poor injection timing)
-Coronary artery anomalies
-Extensive coronary artery calcification
-Occassional unexplained single vessel failure - CAD Evaluation of the Coronary Arteries: Applications
-Workflow considerations
-Second reader for all studies
-Quality assurance tool - “ False positive interpretations were localized to the left main (n=16), LAD (n=26), LCX (n=21), RCA (n=21) and branch vessels (n=23), and were related predominately to calcified vessels, blurred vessels, misidentification of vessels and myocardial bridging.”
Diagnosis of Coronary Stenosis with CT Angiography: Comparison of Automated Computer Diagnosis with Expert Readings
Halpern EJ, Halpern DJ
Acad Radiol 2011; 18:324-333 - “ Among 207 cases evaluated by COR Analyzer, human expert interpretation identified 48 patients with stenosis. COR Analyzer identified 44/48 patients (sensitivity 92%) with a specificity of 70%, a negative predictive value of 97% and a positive predictive value of 48%. COR Analyzer agreed with the expert interpretation in 75% of patients.”
Diagnosis of Coronary Stenosis with CT Angiography: Comparison of Automated Computer Diagnosis with Expert Readings
Halpern EJ, Halpern DJ
Acad Radiol 2011; 18:324-333 - “ Automated computer interpretation of cCTA with COR Analyzer provides high negative predictive value for the diagnosis of coronary disease in major coronary arteries as well as first-order arterial branches. False positive automated interpretations are related to anatomic and image quality considerations.”
Diagnosis of Coronary Stenosis with CT Angiography: Comparison of Automated Computer Diagnosis with Expert Readings
Halpern EJ, Halpern DJ
Acad Radiol 2011; 18:324-333
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