Contemporary, non-invasive imaging diagnosis of chronic coronary artery disease.
Saved in:
| Title: | Contemporary, non-invasive imaging diagnosis of chronic coronary artery disease. |
|---|---|
| Authors: | van der Bijl, Pieter (AUTHOR), Gulati, Martha (AUTHOR), Saraste, Antti (AUTHOR), Marwick, Thomas (AUTHOR), Kwong, Raymond (AUTHOR), Blankstein, Ron (AUTHOR), Nieman, Koen (AUTHOR), Sengupta, Partho P (AUTHOR), van Rosendael, Alexander (AUTHOR), Knuuti, Juhani (AUTHOR), Bangalore, Sripal (AUTHOR), Bax, Jeroen J (AUTHOR) |
| Source: | Lancet. 11/29/2025, Vol. 406 Issue 10519, p2577-2587. 11p. |
| Subjects: | Coronary artery disease, Cardiac imaging, Stress echocardiography, Artificial intelligence, Diagnosis, Diagnostic imaging, Coronary angiography |
| Abstract: | Coronary artery disease is one of the leading causes of morbidity and mortality worldwide. Although it can present with an acute coronary syndrome, it is often characterised by long periods of stability, known as chronic coronary artery disease. This Review presents a comprehensive overview of the diagnosis of the disease, with a focus on cardiac imaging. We discuss various cardiac imaging modalities, including CT coronary angiography, stress echocardiogram, stress single-photon emission CT, PET, and stress cardiac magnetic resonance. We also compare the roles of anatomical (eg, CT coronary angiography) versus functional (eg, stress echocardiogram) tests and examine the potential utility of artificial intelligence in more detail. [ABSTRACT FROM AUTHOR] |
| Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 189640149 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Contemporary, non-invasive imaging diagnosis of chronic coronary artery disease. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22van+der+Bijl%2C+Pieter%22">van der Bijl, Pieter</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gulati%2C+Martha%22">Gulati, Martha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saraste%2C+Antti%22">Saraste, Antti</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marwick%2C+Thomas%22">Marwick, Thomas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kwong%2C+Raymond%22">Kwong, Raymond</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Blankstein%2C+Ron%22">Blankstein, Ron</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nieman%2C+Koen%22">Nieman, Koen</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sengupta%2C+Partho+P%22">Sengupta, Partho P</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Rosendael%2C+Alexander%22">van Rosendael, Alexander</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Knuuti%2C+Juhani%22">Knuuti, Juhani</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bangalore%2C+Sripal%22">Bangalore, Sripal</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bax%2C+Jeroen+J%22">Bax, Jeroen J</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Lancet%22">Lancet</searchLink>. 11/29/2025, Vol. 406 Issue 10519, p2577-2587. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Coronary+artery+disease%22">Coronary artery disease</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+imaging%22">Cardiac imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Stress+echocardiography%22">Stress echocardiography</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+imaging%22">Diagnostic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Coronary+angiography%22">Coronary angiography</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Coronary artery disease is one of the leading causes of morbidity and mortality worldwide. Although it can present with an acute coronary syndrome, it is often characterised by long periods of stability, known as chronic coronary artery disease. This Review presents a comprehensive overview of the diagnosis of the disease, with a focus on cardiac imaging. We discuss various cardiac imaging modalities, including CT coronary angiography, stress echocardiogram, stress single-photon emission CT, PET, and stress cardiac magnetic resonance. We also compare the roles of anatomical (eg, CT coronary angiography) versus functional (eg, stress echocardiogram) tests and examine the potential utility of artificial intelligence in more detail. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=189640149 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0140-6736(25)01586-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2577 Subjects: – SubjectFull: Coronary artery disease Type: general – SubjectFull: Cardiac imaging Type: general – SubjectFull: Stress echocardiography Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Diagnosis Type: general – SubjectFull: Diagnostic imaging Type: general – SubjectFull: Coronary angiography Type: general Titles: – TitleFull: Contemporary, non-invasive imaging diagnosis of chronic coronary artery disease. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: van der Bijl, Pieter – PersonEntity: Name: NameFull: Gulati, Martha – PersonEntity: Name: NameFull: Saraste, Antti – PersonEntity: Name: NameFull: Marwick, Thomas – PersonEntity: Name: NameFull: Kwong, Raymond – PersonEntity: Name: NameFull: Blankstein, Ron – PersonEntity: Name: NameFull: Nieman, Koen – PersonEntity: Name: NameFull: Sengupta, Partho P – PersonEntity: Name: NameFull: van Rosendael, Alexander – PersonEntity: Name: NameFull: Knuuti, Juhani – PersonEntity: Name: NameFull: Bangalore, Sripal – PersonEntity: Name: NameFull: Bax, Jeroen J IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 11 Text: 11/29/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01406736 Numbering: – Type: volume Value: 406 – Type: issue Value: 10519 Titles: – TitleFull: Lancet Type: main |
| ResultId | 1 |