Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review Article Swipe
Narendra N. Khanna
,
Mahesh Maindarkar
,
Ajit Kumar Saxena
,
Puneet Ahluwalia
,
Sudip Paul
,
Saurabh Kumar Srivastava
,
Elisa Cuadrado‐Godia
,
Aditya Sharma
,
Tomaž Omerzu
,
Luca Saba
,
Sophie Mavrogeni
,
Monika Turk
,
John R. Laird
,
George D. Kitas
,
Mostafa Fatemi
,
Al B. Barqawi
,
Martin Miner
,
Inder M. Singh
,
Amer M. Johri
,
Mannudeep Kalra
,
Vikas Agarwal
,
Kosmas I. Paraskevas
,
Jagjit S. Teji
,
Mostafa M. Fouda
,
Gyan Pareek
,
Jasjit S. Suri
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics12051249
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics12051249
Purpose: The role of erectile dysfunction (ED) has recently shown an association with the risk of stroke and coronary heart disease (CHD) via the atherosclerotic pathway. Cardiovascular disease (CVD)/stroke risk has been widely understood with the help of carotid artery disease (CTAD), a surrogate biomarker for CHD. The proposed study emphasizes artificial intelligence-based frameworks such as machine learning (ML) and deep learning (DL) that can accurately predict the severity of CVD/stroke risk using carotid wall arterial imaging in ED patients. Methods: Using the PRISMA model, 231 of the best studies were selected. The proposed study mainly consists of two components: (i) the pathophysiology of ED and its link with coronary artery disease (COAD) and CHD in the ED framework and (ii) the ultrasonic-image morphological changes in the carotid arterial walls by quantifying the wall parameters and the characterization of the wall tissue by adapting the ML/DL-based methods, both for the prediction of the severity of CVD risk. The proposed study analyzes the hypothesis that ML/DL can lead to an accurate and early diagnosis of the CVD/stroke risk in ED patients. Our finding suggests that the routine ED patient practice can be amended for ML/DL-based CVD/stroke risk assessment using carotid wall arterial imaging leading to fast, reliable, and accurate CVD/stroke risk stratification. Summary: We conclude that ML and DL methods are very powerful tools for the characterization of CVD/stroke in patients with varying ED conditions. We anticipate a rapid growth of these tools for early and better CVD/stroke risk management in ED patients.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/diagnostics12051249
- https://www.mdpi.com/2075-4418/12/5/1249/pdf?version=1652858764
- OA Status
- gold
- Cited By
- 16
- References
- 244
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280518754
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4280518754Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/diagnostics12051249Digital Object Identifier
- Title
-
Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative ReviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-05-17Full publication date if available
- Authors
-
Narendra N. Khanna, Mahesh Maindarkar, Ajit Kumar Saxena, Puneet Ahluwalia, Sudip Paul, Saurabh Kumar Srivastava, Elisa Cuadrado‐Godia, Aditya Sharma, Tomaž Omerzu, Luca Saba, Sophie Mavrogeni, Monika Turk, John R. Laird, George D. Kitas, Mostafa Fatemi, Al B. Barqawi, Martin Miner, Inder M. Singh, Amer M. Johri, Mannudeep Kalra, Vikas Agarwal, Kosmas I. Paraskevas, Jagjit S. Teji, Mostafa M. Fouda, Gyan Pareek, Jasjit S. SuriList of authors in order
- Landing page
-
https://doi.org/10.3390/diagnostics12051249Publisher landing page
- PDF URL
-
https://www.mdpi.com/2075-4418/12/5/1249/pdf?version=1652858764Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2075-4418/12/5/1249/pdf?version=1652858764Direct OA link when available
- Concepts
-
Medicine, Stroke (engine), Erectile dysfunction, Cardiology, Internal medicine, Coronary artery disease, Biomarker, Disease, Arterial wall, Radiology, Chemistry, Biochemistry, Mechanical engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 4, 2023: 5, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
244Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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