Purpose: This review explores the current landscape of AI applications in imaging for TAVR, emphasizing the potential and limitations of these tools for (1) automating the image analysis and reporting process, (2) improving procedural planning, and (3) offering additional insight into post-TAVR outcomes. Finally, the direction of future research necessary to bridge these tools towards clinical integration is discussed.
Recent findings: Transcatheter aortic valve replacement (TAVR) has become a pivotal treatment option for select patients with severe aortic stenosis, and its indication for use continues to broaden. Noninvasive imaging techniques such as CTA and MRA have become routine for patient selection, preprocedural planning, and predicting the risk of complications. As the current methods for pre-TAVR image analysis are labor-intensive and have significant inter-operator variability, experts are looking towards artificial intelligence (AI) as a potential solution.
Summary: AI has the potential to significantly enhance the planning, execution, and post-procedural follow up of TAVR. While AI tools are promising, the irreplaceable value of nuanced clinical judgment by skilled physician teams must not be overlooked. With continued research, collaboration, and careful implementation, AI can become an integral part in imaging for TAVR, ultimately improving patient care and outcomes.
{"title":"The Current Landscape of Artificial Intelligence in Imaging for Transcatheter Aortic Valve Replacement.","authors":"Shawn Sun, Leslie Yeh, Amir Imanzadeh, Soheil Kooraki, Arash Kheradvar, Arash Bedayat","doi":"10.1007/s40134-024-00431-w","DOIUrl":"10.1007/s40134-024-00431-w","url":null,"abstract":"<p><strong>Purpose: </strong>This review explores the current landscape of AI applications in imaging for TAVR, emphasizing the potential and limitations of these tools for (1) automating the image analysis and reporting process, (2) improving procedural planning, and (3) offering additional insight into post-TAVR outcomes. Finally, the direction of future research necessary to bridge these tools towards clinical integration is discussed.</p><p><strong>Recent findings: </strong>Transcatheter aortic valve replacement (TAVR) has become a pivotal treatment option for select patients with severe aortic stenosis, and its indication for use continues to broaden. Noninvasive imaging techniques such as CTA and MRA have become routine for patient selection, preprocedural planning, and predicting the risk of complications. As the current methods for pre-TAVR image analysis are labor-intensive and have significant inter-operator variability, experts are looking towards artificial intelligence (AI) as a potential solution.</p><p><strong>Summary: </strong>AI has the potential to significantly enhance the planning, execution, and post-procedural follow up of TAVR. While AI tools are promising, the irreplaceable value of nuanced clinical judgment by skilled physician teams must not be overlooked. With continued research, collaboration, and careful implementation, AI can become an integral part in imaging for TAVR, ultimately improving patient care and outcomes.</p>","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"12 11-12","pages":"113-120"},"PeriodicalIF":1.3,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526784/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142559066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-23DOI: 10.1007/s40134-023-00421-4
Ahmad Alghamdi, Muhammad Ejaz Ahmed
{"title":"Advances in Imaging of Neurovascular Emergencies on Computer Tomography CT","authors":"Ahmad Alghamdi, Muhammad Ejaz Ahmed","doi":"10.1007/s40134-023-00421-4","DOIUrl":"https://doi.org/10.1007/s40134-023-00421-4","url":null,"abstract":"","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"204 1","pages":"1-8"},"PeriodicalIF":0.7,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139163045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-11DOI: 10.1007/s40134-023-00420-5
Manuela Montatore, Gianmichele Muscatella, Laura Eusebi, Federica Masino, Rossella Gifuni, Willy Giannubilo, Giuseppe Sortino, Giuseppe Guglielmi
Abstract Purpose of the Review This review article aims to show the actual role of Imaging, especially DECT (Dual Energy CT), in recognition of renal calculi. Recent Findings CT and in particular DECT have some implications in renal stone disease; CT is considered the gold-standard in the diagnosis in case of acute flank pain caused by nephrolithiasis, better than ultrasound, that represent the first approach, in some specific cases. DECT instead in these days, has increase a very particular role. Summary About 12% of the world’s population will experience urinary stones, and 50% of affected people experience a recurrence within 10 years after their first diagnosis. There are many different types of calculi, that could form and stay or could form and then goes to localize in different anatomical site in the urinary system: kidney, ureters, bladder, and urethra. Calculi, especially with high dimensions, cause the typical flank pain, also known as renal colic. The precise cause of their formation is still unknown, it is frequently believed that mineral deposition on a nidus of the mucoprotein matrix is what causes them to form. The preferred Imaging method for detecting urinary stones is ultrasonography (used like the first approach), and Computed Tomography (gold standard), more rapid if “low-dose CT”. In these days, Dual Energy Computed Tomography is useful to determine the composition of the calculation. In fact, it is more effective than single-energy CT; it creates a better separation of stones from iodine; and it allows better measures of stone composition with better differentiation of urate stones from others (even at low doses).
{"title":"Current Status on New Technique and Protocol in Urinary Stone Disease","authors":"Manuela Montatore, Gianmichele Muscatella, Laura Eusebi, Federica Masino, Rossella Gifuni, Willy Giannubilo, Giuseppe Sortino, Giuseppe Guglielmi","doi":"10.1007/s40134-023-00420-5","DOIUrl":"https://doi.org/10.1007/s40134-023-00420-5","url":null,"abstract":"Abstract Purpose of the Review This review article aims to show the actual role of Imaging, especially DECT (Dual Energy CT), in recognition of renal calculi. Recent Findings CT and in particular DECT have some implications in renal stone disease; CT is considered the gold-standard in the diagnosis in case of acute flank pain caused by nephrolithiasis, better than ultrasound, that represent the first approach, in some specific cases. DECT instead in these days, has increase a very particular role. Summary About 12% of the world’s population will experience urinary stones, and 50% of affected people experience a recurrence within 10 years after their first diagnosis. There are many different types of calculi, that could form and stay or could form and then goes to localize in different anatomical site in the urinary system: kidney, ureters, bladder, and urethra. Calculi, especially with high dimensions, cause the typical flank pain, also known as renal colic. The precise cause of their formation is still unknown, it is frequently believed that mineral deposition on a nidus of the mucoprotein matrix is what causes them to form. The preferred Imaging method for detecting urinary stones is ultrasonography (used like the first approach), and Computed Tomography (gold standard), more rapid if “low-dose CT”. In these days, Dual Energy Computed Tomography is useful to determine the composition of the calculation. In fact, it is more effective than single-energy CT; it creates a better separation of stones from iodine; and it allows better measures of stone composition with better differentiation of urate stones from others (even at low doses).","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135982426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-05DOI: 10.1007/s40134-023-00419-y
P. Costantini, Eleonora Ostillio, Léon Groenhoff, Anna Carmen Leonetti, Agnese Siani, Giulia De Zan, M. Guglielmo, Alessandro Carriero
{"title":"Aortic Stenosis and Amyloidosis: Role of MRI and CT in the Diagnosis of a Sneaky Association","authors":"P. Costantini, Eleonora Ostillio, Léon Groenhoff, Anna Carmen Leonetti, Agnese Siani, Giulia De Zan, M. Guglielmo, Alessandro Carriero","doi":"10.1007/s40134-023-00419-y","DOIUrl":"https://doi.org/10.1007/s40134-023-00419-y","url":null,"abstract":"","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"11 1","pages":"153 - 159"},"PeriodicalIF":0.7,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41366370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-19DOI: 10.1007/s40134-023-00418-z
K. Sweetwood, J.C. Junn, Y. Qiao, S. Berven, V. Shah, M. Pampaloni, R. Flavell, W. Dillon, J. Talbott, Courtney Lawhn-Heath
{"title":"Beyond Anatomy: The Role of Molecular Imaging in the Evaluation of Low Back Pain","authors":"K. Sweetwood, J.C. Junn, Y. Qiao, S. Berven, V. Shah, M. Pampaloni, R. Flavell, W. Dillon, J. Talbott, Courtney Lawhn-Heath","doi":"10.1007/s40134-023-00418-z","DOIUrl":"https://doi.org/10.1007/s40134-023-00418-z","url":null,"abstract":"","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"11 1","pages":"142 - 152"},"PeriodicalIF":0.7,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42885162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-29DOI: 10.1007/s40134-023-00417-0
Randy Brown, M. Rezvani
{"title":"Imaging Features of Appendiceal Mucoceles and It’s Complications","authors":"Randy Brown, M. Rezvani","doi":"10.1007/s40134-023-00417-0","DOIUrl":"https://doi.org/10.1007/s40134-023-00417-0","url":null,"abstract":"","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"11 1","pages":"135 - 141"},"PeriodicalIF":0.7,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49561081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-14DOI: 10.1007/s40134-023-00414-3
Naomi Walker, N. Pham, Luke Ledbetter
{"title":"Cochlear Implantation: Current and Future Roles of Imaging Before, During, and After Implantation","authors":"Naomi Walker, N. Pham, Luke Ledbetter","doi":"10.1007/s40134-023-00414-3","DOIUrl":"https://doi.org/10.1007/s40134-023-00414-3","url":null,"abstract":"","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"11 1","pages":"97 - 107"},"PeriodicalIF":0.7,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48958040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-24DOI: 10.1007/s40134-023-00415-2
M. Paparella, L. Eusebi, Martina Pia Pagliara, N. Palladino, G. Sortino, W. Giannubilo, G. Guglielmi
{"title":"Multiparametric Ultrasound in Testicular Emergencies: State-of-the-Art","authors":"M. Paparella, L. Eusebi, Martina Pia Pagliara, N. Palladino, G. Sortino, W. Giannubilo, G. Guglielmi","doi":"10.1007/s40134-023-00415-2","DOIUrl":"https://doi.org/10.1007/s40134-023-00415-2","url":null,"abstract":"","PeriodicalId":37269,"journal":{"name":"Current Radiology Reports","volume":"11 1","pages":"109 - 119"},"PeriodicalIF":0.7,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43264325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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