Literature DB >> 22990512

What is the correct distance measurement metric when measuring carotid ultrasound intima-media thickness automatically?

L Saba1, F Molinari, K M Meiburger, M Piga, G Zeng, U Rajendra Achraya, A Nicolaides, J S Suri.   

Abstract

AIM: The aims of this study were: 1) to analyze the interobserver carotid intima-media thickness (CIMT) variability using three different measurement metrics on large multi-institutional databases; 2) to evaluate the three kinds of metrics when comparing completely automated CIMT measurement (Auto Edge CIMT) to two manually derived CIMT (manual CIMT).
METHODS: Two expert sonographers manually analyzed 665 carotid B-Mode ultrasound images collected from five institutions and using four different scanners. The two readers traced the lumen-intima (LI) and media-adventitia (MA) interfaces. The manual CIMT was computed from the LI/MA tracings by using three different distance measurement metrics: the Hausdorff, the PolyLine, and the Centerline distance metrics. The LI/MA tracings of a completely automated method we previously developed were then compared to manual CIMT.
RESULTS: The average CIMT values of Readers 1 and 2 were 1.904±0.650 mm and 1.421±0.394 using Hausdorff, 0.808±0.269 mm and 0.790±0.227 mm using Polyline, and 0.762±0.266 mm and 0.782±0.228 mm using Centerline, respectively. The correlation coefficients were 0.14 (0.07-0.22) for Hausdorff, 0.77 (0.74-0.80) for Polyline, and 0.82 (0.79-0.84) for Centerline. The variation coefficients (CV) were equal to 46.4% (Hausdorff), 2.6 % (Polyline), and 14.1% (Centerline). The Auto Edge CIMT values were: 1.655±0.676 mm using Hausdorff, 0.808±0.282 mm using Polyline, and 0.776±0.275 mm using Centerline.
CONCLUSION: Centerline and Polyline yield very close results and are clinically suitable distance measurement techniques for computing the CIMT from LI/MA profiles.

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Year:  2012        PMID: 22990512

Source DB:  PubMed          Journal:  Int Angiol        ISSN: 0392-9590            Impact factor:   2.789


  7 in total

Review 1.  A Special Report on Changing Trends in Preventive Stroke/Cardiovascular Risk Assessment Via B-Mode Ultrasonography.

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

Review 2.  A Review on Atherosclerotic Biology, Wall Stiffness, Physics of Elasticity, and Its Ultrasound-Based Measurement.

Authors:  Anoop K Patel; Harman S Suri; Jaskaran Singh; Dinesh Kumar; Shoaib Shafique; Andrew Nicolaides; Sanjay K Jain; Luca Saba; Ajay Gupta; John R Laird; Argiris Giannopoulos; Jasjit S Suri
Journal:  Curr Atheroscler Rep       Date:  2016-12       Impact factor: 5.113

3.  Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models.

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

4.  Ultrasound-based stroke/cardiovascular risk stratification using Framingham Risk Score and ASCVD Risk Score based on "Integrated Vascular Age" instead of "Chronological Age": a multi-ethnic study of Asian Indian, Caucasian, and Japanese cohorts.

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

5.  A review of ultrasound common carotid artery image and video segmentation techniques.

Authors:  Christos P Loizou
Journal:  Med Biol Eng Comput       Date:  2014-10-05       Impact factor: 2.602

Review 6.  A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.

Authors:  Mainak Biswas; Luca Saba; Tomaž Omerzu; Amer M Johri; Narendra N Khanna; Klaudija Viskovic; Sophie Mavrogeni; John R Laird; Gyan Pareek; Martin Miner; Antonella Balestrieri; Petros P Sfikakis; Athanasios Protogerou; Durga Prasanna Misra; Vikas Agarwal; George D Kitas; Raghu Kolluri; Aditya Sharma; Vijay Viswanathan; Zoltan Ruzsa; Andrew Nicolaides; Jasjit S Suri
Journal:  J Digit Imaging       Date:  2021-06-02       Impact factor: 4.903

7.  Effect of despeckling filters on the segmentation of ultrasound common carotid artery images.

Authors:  Vaishali Narendra Naik; R S Gamad; P P Bansod
Journal:  Biomed J       Date:  2021-07-15       Impact factor: 7.892

  7 in total

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