Luca Saba1, Mainak Biswas2, Harman S Suri3, Klaudija Viskovic4, John R Laird5, Elisa Cuadrado-Godia6, Andrew Nicolaides7,8, N N Khanna9, Vijay Viswanathan10, Jasjit S Suri11. 1. Department of Radiology, A.O.U., Cagliari, Italy. 2. Department of Computer Science and Engineering, JIS University, Agarpara, Kolkata, India. 3. Brown University, Providence, Rhode Island, USA. 4. Department of Radiology and Ultrasound University Hospital for Infectious Diseases, Zagreb, Croatia. 5. Heart and Vascular Institute, Adventist, St. Helena Hospital, Napa Valley, CA, USA. 6. Department of Neurology, IMIM-Hospital del Mar, Barcelona, Spain. 7. Vascular Screening and Diagnostic Centre, London, UK. 8. Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus. 9. Cardiology Department, Indraprastha Apollo Hospitals, New Delhi, India. 10. MV Hospital for Diabetes and Professor M Viswanathan Diabetes Research Centre, Chennai, India. 11. Stroke Monitoring and Diagnostic Division, AtheroPoint™, Roseville, CA, USA.
Abstract
BACKGROUND: Stroke is in the top three leading causes of death worldwide. Non-invasive monitoring of stroke can be accomplished via stenosis measurements. The current conventional image-based methods for these measurements are not accurate and reliable. They do not incorporate shape and intelligent learning component in their design. METHODS: In this study, we propose a deep learning (DL)-based methodology for accurate measurement of stenosis in common carotid artery (CCA) ultrasound (US) scans using a class of AtheroEdge system from AtheroPoint, USA. Three radiologists manually traced the lumen-intima (LI) for the near and the far walls, respectively, which served as a gold standard (GS) for training the DL-based model. Three DL-based systems were developed based on three types of GS. RESULTS: IRB approved (Toho University, Japan) 407 US scans from 204 patients were collected. The risk was characterized into three classes: low, moderate, and high-risk. The area-under-curve (AUC) corresponding to three DL systems using receiver operating characteristic (ROC) analysis computed were: 0.90, 0.94 and 0.86, respectively. CONCLUSIONS: Novel DL-based strategy showed reliable, accurate and stable stenosis severity index (SSI) measurements. 2019 Cardiovascular Diagnosis and Therapy. All rights reserved.
BACKGROUND: Stroke is in the top three leading causes of death worldwide. Non-invasive monitoring of stroke can be accomplished via stenosis measurements. The current conventional image-based methods for these measurements are not accurate and reliable. They do not incorporate shape and intelligent learning component in their design. METHODS: In this study, we propose a deep learning (DL)-based methodology for accurate measurement of stenosis in common carotid artery (CCA) ultrasound (US) scans using a class of AtheroEdge system from AtheroPoint, USA. Three radiologists manually traced the lumen-intima (LI) for the near and the far walls, respectively, which served as a gold standard (GS) for training the DL-based model. Three DL-based systems were developed based on three types of GS. RESULTS: IRB approved (Toho University, Japan) 407 US scans from 204 patients were collected. The risk was characterized into three classes: low, moderate, and high-risk. The area-under-curve (AUC) corresponding to three DL systems using receiver operating characteristic (ROC) analysis computed were: 0.90, 0.94 and 0.86, respectively. CONCLUSIONS: Novel DL-based strategy showed reliable, accurate and stable stenosis severity index (SSI) measurements. 2019 Cardiovascular Diagnosis and Therapy. All rights reserved.
Entities:
Keywords:
Atherosclerosis; accurate; carotid stenosis severity index (carotid SSI); deep learning (DL); performance; reliable
Authors: Mainak Biswas; Venkatanareshbabu Kuppili; Luca Saba; Damodar Reddy Edla; Harman S Suri; Aditya Sharma; Elisa Cuadrado-Godia; John R Laird; Andrew Nicolaides; Jasjit S Suri Journal: Med Biol Eng Comput Date: 2018-09-26 Impact factor: 2.602
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: Luca Saba; Sumit K Banchhor; Harman S Suri; Narendra D Londhe; Tadashi Araki; Nobutaka Ikeda; Klaudija Viskovic; Shoaib Shafique; John R Laird; Ajay Gupta; Andrew Nicolaides; Jasjit S Suri Journal: Comput Biol Med Date: 2016-06-10 Impact factor: 4.589
Authors: Tobias M Freilinger; Andreas Schindler; Caroline Schmidt; Jochen Grimm; Clemens Cyran; Florian Schwarz; Fabian Bamberg; Jennifer Linn; Maximilian Reiser; Chun Yuan; Konstantin Nikolaou; Martin Dichgans; Tobias Saam Journal: JACC Cardiovasc Imaging Date: 2012-04
Authors: Luca Saba; Nobutaka Ikeda; Martino Deidda; Tadashi Araki; Filippo Molinari; Kristen M Meiburger; U Rajendra Acharya; Yoshinori Nagashima; Giuseppe Mercuro; Masataka Nakano; Andrew Nicolaides; Jasjit S Suri Journal: Diabetes Res Clin Pract Date: 2013-04-21 Impact factor: 5.602
Authors: Mohit Agarwal; Luca Saba; Suneet K Gupta; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Aditya M Sharma; Vijay Viswanathan; George D Kitas; Andrew Nicolaides; Jasjit S Suri Journal: Med Biol Eng Comput Date: 2021-02-05 Impact factor: 2.602
Authors: Ankush D Jamthikar; Deep Gupta; Laura E Mantella; Luca Saba; John R Laird; Amer M Johri; Jasjit S Suri Journal: Int J Cardiovasc Imaging Date: 2020-11-12 Impact factor: 2.357
Authors: Ankush Jamthikar; Deep Gupta; Luca Saba; Narendra N Khanna; Tadashi Araki; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Vijay Viswanathan; Aditya Sharma; Andrew Nicolaides; George D Kitas; Jasjit S Suri Journal: Cardiovasc Diagn Ther Date: 2020-08
Authors: Ankush Jamthikar; Deep Gupta; Elisa Cuadrado-Godia; Anudeep Puvvula; Narendra N Khanna; Luca Saba; Klaudija Viskovic; Sophie Mavrogeni; Monika Turk; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; George D Kitas; Chithra Shankar; Andrew Nicolaides; Vijay Viswanathan; Aditya Sharma; Jasjit S Suri Journal: Cardiovasc Diagn Ther Date: 2020-08
Authors: Luca Saba; Skandha S Sanagala; Suneet K Gupta; Vijaya K Koppula; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Petros P Sfikakis; Athanasios Protogerou; Durga P Misra; Vikas Agarwal; Aditya M Sharma; Vijay Viswanathan; Vijay S Rathore; Monika Turk; Raghu Kolluri; Klaudija Viskovic; Elisa Cuadrado-Godia; George D Kitas; Neeraj Sharma; Andrew Nicolaides; Jasjit S Suri Journal: Ann Transl Med Date: 2021-07
Authors: Jasjit S Suri; Sushant Agarwal; Gian Luca Chabert; Alessandro Carriero; Alessio Paschè; Pietro S C Danna; Luca Saba; Armin Mehmedović; Gavino Faa; Inder M Singh; Monika Turk; Paramjit S Chadha; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; David W Sobel; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Athanasios D Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Jagjit S Teji; Mustafa Al-Maini; Surinder K Dhanjil; Andrew Nicolaides; Aditya Sharma; Vijay Rathore; Mostafa Fatemi; Azra Alizad; Pudukode R Krishnan; Ferenc Nagy; Zoltan Ruzsa; Mostafa M Fouda; Subbaram Naidu; Klaudija Viskovic; Mannudeep K Kalra Journal: Diagnostics (Basel) Date: 2022-06-16
Authors: Mohit Agarwal; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet Gupta; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; Harsh Jain; Tanay Jujaray; Inder M Singh; Monika Turk; Paramjit S Chadha; Amer M Johri; Narendra N Khanna; Sophie Mavrogeni; John R Laird; David W Sobel; Martin Miner; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Jagjit S Teji; Mustafa Al-Maini; Surinder K Dhanjil; Andrew Nicolaides; Aditya Sharma; Vijay Rathore; Mostafa Fatemi; Azra Alizad; Pudukode R Krishnan; Rajanikant R Yadav; Frence Nagy; Zsigmond Tamás Kincses; Zoltan Ruzsa; Subbaram Naidu; Klaudija Viskovic; Manudeep K Kalra; Jasjit S Suri Journal: Comput Biol Med Date: 2022-05-21 Impact factor: 6.698
Authors: Jasjit S Suri; Anudeep Puvvula; Mainak Biswas; Misha Majhail; Luca Saba; Gavino Faa; Inder M Singh; Ronald Oberleitner; Monika Turk; Paramjit S Chadha; Amer M Johri; J Miguel Sanches; Narendra N Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; David W Sobel; Antonella Balestrieri; Petros P Sfikakis; George Tsoulfas; Athanasios Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Puneet Ahluwalia; Raghu Kolluri; Jagjit Teji; Mustafa Al Maini; Ann Agbakoba; Surinder K Dhanjil; Meyypan Sockalingam; Ajit Saxena; Andrew Nicolaides; Aditya Sharma; Vijay Rathore; Janet N A Ajuluchukwu; Mostafa Fatemi; Azra Alizad; Vijay Viswanathan; Pudukode R Krishnan; Subbaram Naidu Journal: Comput Biol Med Date: 2020-08-14 Impact factor: 4.589
Authors: Pankaj K Jain; Neeraj Sharma; Luca Saba; Kosmas I Paraskevas; Mandeep K Kalra; Amer Johri; John R Laird; Andrew N Nicolaides; Jasjit S Suri Journal: Diagnostics (Basel) Date: 2021-12-02