Luca Saba1, Tadashi Araki2, P Krishna Kumar3,4, Jeny Rajan3,4, Francesco Lavra1, Nobutaka Ikeda5, Aditya M Sharma6, Shoaib Shafique7, Andrew Nicolaides8, John R Laird9, Ajay Gupta10, Jasjit S Suri4,11,12. 1. Department of Radiology, University of Cagliari, Italy. 2. Division of Cardiovascular Medicine, Toho University, Ohashi Medical Center, Tokyo, Japan. 3. Department of Computer Science and Engineering, National Institute of Technology, Karnataka, India. 4. Point-of-Care Devices, Global Biomedical Technologies, Inc, Roseville, CA. 5. Cardiovascular Medicine, National Center for Global Health and Medicine, Tokyo, Japan. 6. Division of Cardiovascular Medicine, Department of Medicine, University of Virginia, VA. 7. CorVasc Vascular Laboratory, Indianapolis, IN. 8. Vascular Diagnostic Center, University of Cyprus, Nicosia, Cyprus. 9. UC Davis Vascular Center, University of California, Davis, CA. 10. Radiology Department, Brain and Mind Research Institute, Weill Cornell Medical College, NY. 11. Monitoring and Diagnostic Division, AtheroPoint, Roseville, CA. 12. Department of Electrical Engineering, University of Idaho (Affl.), ID.
Abstract
PURPOSE: To compare the strength of correlation between automatically measured carotid lumen diameter (LD) and interadventitial diameter (IAD) with plaque score (PS). METHODS: Retrospective study on a database of 404 common carotid artery B-mode sonographic images from 202 diabetic patients. LD and IAD were computed automatically using an advanced computerized edge detection method and compared with two distinct manual measurements. PS was computed by adding the maximal thickness in millimeters of plaques in segments taken from the internal carotid artery, bulb, and common carotid artery on both sides. RESULTS: The coefficient of correlation was 0.19 (p < 0.007) between LD and PS, and 0.25 (p < 0.0006) between IAD and PS. After excluding 10 outliers, coefficient of correlation was 0.25 (p < 0.0001) between LD and PS, and 0.38 (p < 0.0001) between IAD and PS. The precision of merit of automated versus the two manual measurements was 96.6% and 97.2% for LD, and 97.7% and 98.1%, for IAD, respectively. CONCLUSIONS: Our automated measurement system gave satisfying results in comparison with manual measurements. Carotid IAD was more strongly correlated to PS than carotid LD in this population sample of Japanese diabetic patients.
PURPOSE: To compare the strength of correlation between automatically measured carotid lumen diameter (LD) and interadventitial diameter (IAD) with plaque score (PS). METHODS: Retrospective study on a database of 404 common carotid artery B-mode sonographic images from 202 diabeticpatients. LD and IAD were computed automatically using an advanced computerized edge detection method and compared with two distinct manual measurements. PS was computed by adding the maximal thickness in millimeters of plaques in segments taken from the internal carotid artery, bulb, and common carotid artery on both sides. RESULTS: The coefficient of correlation was 0.19 (p < 0.007) between LD and PS, and 0.25 (p < 0.0006) between IAD and PS. After excluding 10 outliers, coefficient of correlation was 0.25 (p < 0.0001) between LD and PS, and 0.38 (p < 0.0001) between IAD and PS. The precision of merit of automated versus the two manual measurements was 96.6% and 97.2% for LD, and 97.7% and 98.1%, for IAD, respectively. CONCLUSIONS: Our automated measurement system gave satisfying results in comparison with manual measurements. Carotid IAD was more strongly correlated to PS than carotid LD in this population sample of Japanese diabeticpatients.
Authors: Luca Saba; Pankaj K Jain; Harman S Suri; Nobutaka Ikeda; Tadashi Araki; Bikesh K Singh; Andrew Nicolaides; Shoaib Shafique; Ajay Gupta; John R Laird; Jasjit S Suri Journal: J Med Syst Date: 2017-05-13 Impact factor: 4.460
Authors: Tadashi Araki; P Krishna Kumar; Harman S Suri; Nobutaka Ikeda; Ajay Gupta; Luca Saba; Jeny Rajan; Francesco Lavra; Aditya M Sharma; Shoaib Shafique; Andrew Nicolaides; John R Laird; Jasjit S Suri Journal: J Med Syst Date: 2016-06-14 Impact factor: 4.460
Authors: P Krishna Kumar; Tadashi Araki; Jeny Rajan; Luca Saba; Francesco Lavra; Nobutaka Ikeda; Aditya M Sharma; Shoaib Shafique; Andrew Nicolaides; John R Laird; Ajay Gupta; Jasjit S Suri Journal: Med Biol Eng Comput Date: 2016-12-10 Impact factor: 2.602
Authors: Ankush Jamthikar; Deep Gupta; Narendra N Khanna; Tadashi Araki; Luca Saba; Andrew Nicolaides; Aditya Sharma; Tomaz Omerzu; Harman S Suri; Ajay Gupta; Sophie Mavrogeni; Monika Turk; John R Laird; Athanasios Protogerou; Petros P Sfikakis; George D Kitas; Vijay Viswanathan; Gyan Pareek; Martin Miner; Jasjit S Suri Journal: Curr Atheroscler Rep Date: 2019-05-01 Impact factor: 5.113
Authors: Wendy Wang; Faye L Norby; Kristen M George; Alvaro Alonso; Thomas H Mosley; Rebecca F Gottesman; Michelle L Meyer; Pamela L Lutsey Journal: J Am Heart Assoc Date: 2021-04-17 Impact factor: 5.501