Diabetes, Atherosclerosis, and Stenosis by AI
This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown. We retrospectively evaluated 303 subjects from the Comput...
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| Veröffentlicht in: | Diabetes care 2023-02, Vol.46 (2), p.416-424 |
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| creator | Jonas, Rebecca A Crabtree, Tami R Jennings, Robert S Marques, Hugo Katz, Richard J Chang, Hyuk-Jae Stuijfzand, Wijnand J van Rosendael, Alexander R Choi, Jung Hyun Doh, Joon-Hyung Her, Ae-Young Koo, Bon-Kwon Nam, Chang-Wook Park, Hyung-Bok Shin, Sang-Hoon Cole, Jason Gimelli, Alessia Khan, Muhammad Akram Lu, Bin Gao, Yang Nabi, Faisal Nakazato, Ryo Schoepf, U Joseph Driessen, Roel S Bom, Michiel J Thompson, Randall C Jang, James J Ridner, Michael Rowan, Chris Avelar, Erick Généreux, Philippe Knaapen, Paul de Waard, Guus A Pontone, Gianluca Andreini, Daniele Al-Mallah, Mouaz H Guglielmo, Marco Bax, Jeroen J Earls, James P Min, James K Choi, Andrew D Villines, Todd C |
| description | This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown.
We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed.
Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions.
Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP. |
| doi_str_mv | 10.2337/dc21-1663 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9887618</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2773340271</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-88761a1172511c761e07e0ea99fdb4869f7d27ade8bb0b87ceb6abf8d149b4b3</originalsourceid><addsrcrecordid>eNpdkUtLAzEUhYMotlYX_gEZcKPgaN6PjVDqq1BwYfchyWTslOlMncwI_fdmbC3qJo-bj5Nz7wHgHMFbTIi4yxxGKeKcHIAhUoSljFF5CIYQUZUypfAAnISwhBBSKuUxGBDOhEAYDkH6UBjrWx9uknG78E0dXNmvRSyYKkveWl_1t8RukvH0FBzlpgz-bLePwPzpcT55SWevz9PJeJY6CkmbSik4MggJzBBy8eyh8NAbpfLMUslVLjIsTOaltdBK4bzlxuYyi34ttWQE7rey686ufOZ81Tam1OumWJlmo2tT6L8vVbHQ7_WnVt8_yyhwtRNo6o_Oh1aviuB8WZrK113QWDCFOZcMRfTyH7qsu6aK3UVKEEIhFj11vaVcnE1ofL43g6DuM9B9BrrPILIXv93vyZ-hky8aW4Bq</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2773340271</pqid></control><display><type>article</type><title>Diabetes, Atherosclerosis, and Stenosis by AI</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Jonas, Rebecca A ; Crabtree, Tami R ; Jennings, Robert S ; Marques, Hugo ; Katz, Richard J ; Chang, Hyuk-Jae ; Stuijfzand, Wijnand J ; van Rosendael, Alexander R ; Choi, Jung Hyun ; Doh, Joon-Hyung ; Her, Ae-Young ; Koo, Bon-Kwon ; Nam, Chang-Wook ; Park, Hyung-Bok ; Shin, Sang-Hoon ; Cole, Jason ; Gimelli, Alessia ; Khan, Muhammad Akram ; Lu, Bin ; Gao, Yang ; Nabi, Faisal ; Nakazato, Ryo ; Schoepf, U Joseph ; Driessen, Roel S ; Bom, Michiel J ; Thompson, Randall C ; Jang, James J ; Ridner, Michael ; Rowan, Chris ; Avelar, Erick ; Généreux, Philippe ; Knaapen, Paul ; de Waard, Guus A ; Pontone, Gianluca ; Andreini, Daniele ; Al-Mallah, Mouaz H ; Guglielmo, Marco ; Bax, Jeroen J ; Earls, James P ; Min, James K ; Choi, Andrew D ; Villines, Todd C</creator><creatorcontrib>Jonas, Rebecca A ; Crabtree, Tami R ; Jennings, Robert S ; Marques, Hugo ; Katz, Richard J ; Chang, Hyuk-Jae ; Stuijfzand, Wijnand J ; van Rosendael, Alexander R ; Choi, Jung Hyun ; Doh, Joon-Hyung ; Her, Ae-Young ; Koo, Bon-Kwon ; Nam, Chang-Wook ; Park, Hyung-Bok ; Shin, Sang-Hoon ; Cole, Jason ; Gimelli, Alessia ; Khan, Muhammad Akram ; Lu, Bin ; Gao, Yang ; Nabi, Faisal ; Nakazato, Ryo ; Schoepf, U Joseph ; Driessen, Roel S ; Bom, Michiel J ; Thompson, Randall C ; Jang, James J ; Ridner, Michael ; Rowan, Chris ; Avelar, Erick ; Généreux, Philippe ; Knaapen, Paul ; de Waard, Guus A ; Pontone, Gianluca ; Andreini, Daniele ; Al-Mallah, Mouaz H ; Guglielmo, Marco ; Bax, Jeroen J ; Earls, James P ; Min, James K ; Choi, Andrew D ; Villines, Todd C</creatorcontrib><description>This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown.
We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed.
Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions.
Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP.</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/dc21-1663</identifier><identifier>PMID: 36577120</identifier><language>eng</language><publisher>United States: American Diabetes Association</publisher><subject>Angiography ; Aortic stenosis ; Arteriosclerosis ; Artificial Intelligence ; Atherosclerosis ; Atherosclerosis - complications ; Cardiovascular and Metabolic Risk ; Computed tomography ; Computed Tomography Angiography - methods ; Constriction, Pathologic - complications ; Coronary Angiography - methods ; Coronary Artery Disease - complications ; Coronary Stenosis - complications ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Evaluation ; Humans ; Ischemia ; Lesions ; Medical imaging ; Myocardial ischemia ; Plaque, Atherosclerotic - diagnostic imaging ; Predictive Value of Tests ; Retrospective Studies ; Stenosis</subject><ispartof>Diabetes care, 2023-02, Vol.46 (2), p.416-424</ispartof><rights>2023 by the American Diabetes Association.</rights><rights>Copyright American Diabetes Association Feb 2023</rights><rights>2023 by the American Diabetes Association 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-88761a1172511c761e07e0ea99fdb4869f7d27ade8bb0b87ceb6abf8d149b4b3</citedby><cites>FETCH-LOGICAL-c403t-88761a1172511c761e07e0ea99fdb4869f7d27ade8bb0b87ceb6abf8d149b4b3</cites><orcidid>0000-0003-0203-6210</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36577120$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jonas, Rebecca A</creatorcontrib><creatorcontrib>Crabtree, Tami R</creatorcontrib><creatorcontrib>Jennings, Robert S</creatorcontrib><creatorcontrib>Marques, Hugo</creatorcontrib><creatorcontrib>Katz, Richard J</creatorcontrib><creatorcontrib>Chang, Hyuk-Jae</creatorcontrib><creatorcontrib>Stuijfzand, Wijnand J</creatorcontrib><creatorcontrib>van Rosendael, Alexander R</creatorcontrib><creatorcontrib>Choi, Jung Hyun</creatorcontrib><creatorcontrib>Doh, Joon-Hyung</creatorcontrib><creatorcontrib>Her, Ae-Young</creatorcontrib><creatorcontrib>Koo, Bon-Kwon</creatorcontrib><creatorcontrib>Nam, Chang-Wook</creatorcontrib><creatorcontrib>Park, Hyung-Bok</creatorcontrib><creatorcontrib>Shin, Sang-Hoon</creatorcontrib><creatorcontrib>Cole, Jason</creatorcontrib><creatorcontrib>Gimelli, Alessia</creatorcontrib><creatorcontrib>Khan, Muhammad Akram</creatorcontrib><creatorcontrib>Lu, Bin</creatorcontrib><creatorcontrib>Gao, Yang</creatorcontrib><creatorcontrib>Nabi, Faisal</creatorcontrib><creatorcontrib>Nakazato, Ryo</creatorcontrib><creatorcontrib>Schoepf, U Joseph</creatorcontrib><creatorcontrib>Driessen, Roel S</creatorcontrib><creatorcontrib>Bom, Michiel J</creatorcontrib><creatorcontrib>Thompson, Randall C</creatorcontrib><creatorcontrib>Jang, James J</creatorcontrib><creatorcontrib>Ridner, Michael</creatorcontrib><creatorcontrib>Rowan, Chris</creatorcontrib><creatorcontrib>Avelar, Erick</creatorcontrib><creatorcontrib>Généreux, Philippe</creatorcontrib><creatorcontrib>Knaapen, Paul</creatorcontrib><creatorcontrib>de Waard, Guus A</creatorcontrib><creatorcontrib>Pontone, Gianluca</creatorcontrib><creatorcontrib>Andreini, Daniele</creatorcontrib><creatorcontrib>Al-Mallah, Mouaz H</creatorcontrib><creatorcontrib>Guglielmo, Marco</creatorcontrib><creatorcontrib>Bax, Jeroen J</creatorcontrib><creatorcontrib>Earls, James P</creatorcontrib><creatorcontrib>Min, James K</creatorcontrib><creatorcontrib>Choi, Andrew D</creatorcontrib><creatorcontrib>Villines, Todd C</creatorcontrib><title>Diabetes, Atherosclerosis, and Stenosis by AI</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><description>This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown.
We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed.
Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions.
Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP.</description><subject>Angiography</subject><subject>Aortic stenosis</subject><subject>Arteriosclerosis</subject><subject>Artificial Intelligence</subject><subject>Atherosclerosis</subject><subject>Atherosclerosis - complications</subject><subject>Cardiovascular and Metabolic Risk</subject><subject>Computed tomography</subject><subject>Computed Tomography Angiography - methods</subject><subject>Constriction, Pathologic - complications</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Artery Disease - complications</subject><subject>Coronary Stenosis - complications</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Evaluation</subject><subject>Humans</subject><subject>Ischemia</subject><subject>Lesions</subject><subject>Medical imaging</subject><subject>Myocardial ischemia</subject><subject>Plaque, Atherosclerotic - diagnostic imaging</subject><subject>Predictive Value of Tests</subject><subject>Retrospective Studies</subject><subject>Stenosis</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkUtLAzEUhYMotlYX_gEZcKPgaN6PjVDqq1BwYfchyWTslOlMncwI_fdmbC3qJo-bj5Nz7wHgHMFbTIi4yxxGKeKcHIAhUoSljFF5CIYQUZUypfAAnISwhBBSKuUxGBDOhEAYDkH6UBjrWx9uknG78E0dXNmvRSyYKkveWl_1t8RukvH0FBzlpgz-bLePwPzpcT55SWevz9PJeJY6CkmbSik4MggJzBBy8eyh8NAbpfLMUslVLjIsTOaltdBK4bzlxuYyi34ttWQE7rey686ufOZ81Tam1OumWJlmo2tT6L8vVbHQ7_WnVt8_yyhwtRNo6o_Oh1aviuB8WZrK113QWDCFOZcMRfTyH7qsu6aK3UVKEEIhFj11vaVcnE1ofL43g6DuM9B9BrrPILIXv93vyZ-hky8aW4Bq</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Jonas, Rebecca A</creator><creator>Crabtree, Tami R</creator><creator>Jennings, Robert S</creator><creator>Marques, Hugo</creator><creator>Katz, Richard J</creator><creator>Chang, Hyuk-Jae</creator><creator>Stuijfzand, Wijnand J</creator><creator>van Rosendael, Alexander R</creator><creator>Choi, Jung Hyun</creator><creator>Doh, Joon-Hyung</creator><creator>Her, Ae-Young</creator><creator>Koo, Bon-Kwon</creator><creator>Nam, Chang-Wook</creator><creator>Park, Hyung-Bok</creator><creator>Shin, Sang-Hoon</creator><creator>Cole, Jason</creator><creator>Gimelli, Alessia</creator><creator>Khan, Muhammad Akram</creator><creator>Lu, Bin</creator><creator>Gao, Yang</creator><creator>Nabi, Faisal</creator><creator>Nakazato, Ryo</creator><creator>Schoepf, U Joseph</creator><creator>Driessen, Roel S</creator><creator>Bom, Michiel J</creator><creator>Thompson, Randall C</creator><creator>Jang, James J</creator><creator>Ridner, Michael</creator><creator>Rowan, Chris</creator><creator>Avelar, Erick</creator><creator>Généreux, Philippe</creator><creator>Knaapen, Paul</creator><creator>de Waard, Guus A</creator><creator>Pontone, Gianluca</creator><creator>Andreini, Daniele</creator><creator>Al-Mallah, Mouaz H</creator><creator>Guglielmo, Marco</creator><creator>Bax, Jeroen J</creator><creator>Earls, James P</creator><creator>Min, James K</creator><creator>Choi, Andrew D</creator><creator>Villines, Todd C</creator><general>American Diabetes Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0203-6210</orcidid></search><sort><creationdate>20230201</creationdate><title>Diabetes, Atherosclerosis, and Stenosis by AI</title><author>Jonas, Rebecca A ; Crabtree, Tami R ; Jennings, Robert S ; Marques, Hugo ; Katz, Richard J ; Chang, Hyuk-Jae ; Stuijfzand, Wijnand J ; van Rosendael, Alexander R ; Choi, Jung Hyun ; Doh, Joon-Hyung ; Her, Ae-Young ; Koo, Bon-Kwon ; Nam, Chang-Wook ; Park, Hyung-Bok ; Shin, Sang-Hoon ; Cole, Jason ; Gimelli, Alessia ; Khan, Muhammad Akram ; Lu, Bin ; Gao, Yang ; Nabi, Faisal ; Nakazato, Ryo ; Schoepf, U Joseph ; Driessen, Roel S ; Bom, Michiel J ; Thompson, Randall C ; Jang, James J ; Ridner, Michael ; Rowan, Chris ; Avelar, Erick ; Généreux, Philippe ; Knaapen, Paul ; de Waard, Guus A ; Pontone, Gianluca ; Andreini, Daniele ; Al-Mallah, Mouaz H ; Guglielmo, Marco ; Bax, Jeroen J ; Earls, James P ; Min, James K ; Choi, Andrew D ; Villines, Todd C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-88761a1172511c761e07e0ea99fdb4869f7d27ade8bb0b87ceb6abf8d149b4b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Angiography</topic><topic>Aortic stenosis</topic><topic>Arteriosclerosis</topic><topic>Artificial Intelligence</topic><topic>Atherosclerosis</topic><topic>Atherosclerosis - complications</topic><topic>Cardiovascular and Metabolic Risk</topic><topic>Computed tomography</topic><topic>Computed Tomography Angiography - methods</topic><topic>Constriction, Pathologic - complications</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Artery Disease - complications</topic><topic>Coronary Stenosis - complications</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Evaluation</topic><topic>Humans</topic><topic>Ischemia</topic><topic>Lesions</topic><topic>Medical imaging</topic><topic>Myocardial ischemia</topic><topic>Plaque, Atherosclerotic - diagnostic imaging</topic><topic>Predictive Value of Tests</topic><topic>Retrospective Studies</topic><topic>Stenosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jonas, Rebecca A</creatorcontrib><creatorcontrib>Crabtree, Tami R</creatorcontrib><creatorcontrib>Jennings, Robert S</creatorcontrib><creatorcontrib>Marques, Hugo</creatorcontrib><creatorcontrib>Katz, Richard J</creatorcontrib><creatorcontrib>Chang, Hyuk-Jae</creatorcontrib><creatorcontrib>Stuijfzand, Wijnand J</creatorcontrib><creatorcontrib>van Rosendael, Alexander R</creatorcontrib><creatorcontrib>Choi, Jung Hyun</creatorcontrib><creatorcontrib>Doh, Joon-Hyung</creatorcontrib><creatorcontrib>Her, Ae-Young</creatorcontrib><creatorcontrib>Koo, Bon-Kwon</creatorcontrib><creatorcontrib>Nam, Chang-Wook</creatorcontrib><creatorcontrib>Park, Hyung-Bok</creatorcontrib><creatorcontrib>Shin, Sang-Hoon</creatorcontrib><creatorcontrib>Cole, Jason</creatorcontrib><creatorcontrib>Gimelli, Alessia</creatorcontrib><creatorcontrib>Khan, Muhammad Akram</creatorcontrib><creatorcontrib>Lu, Bin</creatorcontrib><creatorcontrib>Gao, Yang</creatorcontrib><creatorcontrib>Nabi, Faisal</creatorcontrib><creatorcontrib>Nakazato, Ryo</creatorcontrib><creatorcontrib>Schoepf, U Joseph</creatorcontrib><creatorcontrib>Driessen, Roel S</creatorcontrib><creatorcontrib>Bom, Michiel J</creatorcontrib><creatorcontrib>Thompson, Randall C</creatorcontrib><creatorcontrib>Jang, James J</creatorcontrib><creatorcontrib>Ridner, Michael</creatorcontrib><creatorcontrib>Rowan, Chris</creatorcontrib><creatorcontrib>Avelar, Erick</creatorcontrib><creatorcontrib>Généreux, Philippe</creatorcontrib><creatorcontrib>Knaapen, Paul</creatorcontrib><creatorcontrib>de Waard, Guus A</creatorcontrib><creatorcontrib>Pontone, Gianluca</creatorcontrib><creatorcontrib>Andreini, Daniele</creatorcontrib><creatorcontrib>Al-Mallah, Mouaz H</creatorcontrib><creatorcontrib>Guglielmo, Marco</creatorcontrib><creatorcontrib>Bax, Jeroen J</creatorcontrib><creatorcontrib>Earls, James P</creatorcontrib><creatorcontrib>Min, James K</creatorcontrib><creatorcontrib>Choi, Andrew D</creatorcontrib><creatorcontrib>Villines, Todd C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Diabetes care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jonas, Rebecca A</au><au>Crabtree, Tami R</au><au>Jennings, Robert S</au><au>Marques, Hugo</au><au>Katz, Richard J</au><au>Chang, Hyuk-Jae</au><au>Stuijfzand, Wijnand J</au><au>van Rosendael, Alexander R</au><au>Choi, Jung Hyun</au><au>Doh, Joon-Hyung</au><au>Her, Ae-Young</au><au>Koo, Bon-Kwon</au><au>Nam, Chang-Wook</au><au>Park, Hyung-Bok</au><au>Shin, Sang-Hoon</au><au>Cole, Jason</au><au>Gimelli, Alessia</au><au>Khan, Muhammad Akram</au><au>Lu, Bin</au><au>Gao, Yang</au><au>Nabi, Faisal</au><au>Nakazato, Ryo</au><au>Schoepf, U Joseph</au><au>Driessen, Roel S</au><au>Bom, Michiel J</au><au>Thompson, Randall C</au><au>Jang, James J</au><au>Ridner, Michael</au><au>Rowan, Chris</au><au>Avelar, Erick</au><au>Généreux, Philippe</au><au>Knaapen, Paul</au><au>de Waard, Guus A</au><au>Pontone, Gianluca</au><au>Andreini, Daniele</au><au>Al-Mallah, Mouaz H</au><au>Guglielmo, Marco</au><au>Bax, Jeroen J</au><au>Earls, James P</au><au>Min, James K</au><au>Choi, Andrew D</au><au>Villines, Todd C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diabetes, Atherosclerosis, and Stenosis by AI</atitle><jtitle>Diabetes care</jtitle><addtitle>Diabetes Care</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>46</volume><issue>2</issue><spage>416</spage><epage>424</epage><pages>416-424</pages><issn>0149-5992</issn><eissn>1935-5548</eissn><abstract>This study evaluates the relationship between atherosclerotic plaque characteristics (APCs) and angiographic stenosis severity in patients with and without diabetes. Whether APCs differ based on lesion severity and diabetes status is unknown.
We retrospectively evaluated 303 subjects from the Computed TomogRaphic Evaluation of Atherosclerotic Determinants of Myocardial IsChEmia (CREDENCE) trial referred for invasive coronary angiography with coronary computed tomographic angiography (CCTA) and classified lesions as obstructive (≥50% stenosed) or nonobstructive using blinded core laboratory analysis of quantitative coronary angiography. CCTA quantified APCs, including plaque volume (PV), calcified plaque (CP), noncalcified plaque (NCP), low-density NCP (LD-NCP), lesion length, positive remodeling (PR), high-risk plaque (HRP), and percentage of atheroma volume (PAV; PV normalized for vessel volume). The relationship between APCs, stenosis severity, and diabetes status was assessed.
Among the 303 patients, 95 (31.4%) had diabetes. There were 117 lesions in the cohort with diabetes, 58.1% of which were obstructive. Patients with diabetes had greater plaque burden (P = 0.004). Patients with diabetes and nonobstructive disease had greater PV (P = 0.02), PAV (P = 0.02), NCP (P = 0.03), PAV NCP (P = 0.02), diseased vessels (P = 0.03), and maximum stenosis (P = 0.02) than patients without diabetes with nonobstructive disease. APCs were similar between patients with diabetes with nonobstructive disease and patients without diabetes with obstructive disease. Diabetes status did not affect HRP or PR. Patients with diabetes had similar APCs in obstructive and nonobstructive lesions.
Patients with diabetes and nonobstructive stenosis had an association to similar APCs as patients without diabetes who had obstructive stenosis. Among patients with nonobstructive disease, patients with diabetes had more total PV and NCP.</abstract><cop>United States</cop><pub>American Diabetes Association</pub><pmid>36577120</pmid><doi>10.2337/dc21-1663</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-0203-6210</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0149-5992 |
| ispartof | Diabetes care, 2023-02, Vol.46 (2), p.416-424 |
| issn | 0149-5992 1935-5548 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9887618 |
| source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Angiography Aortic stenosis Arteriosclerosis Artificial Intelligence Atherosclerosis Atherosclerosis - complications Cardiovascular and Metabolic Risk Computed tomography Computed Tomography Angiography - methods Constriction, Pathologic - complications Coronary Angiography - methods Coronary Artery Disease - complications Coronary Stenosis - complications Diabetes Diabetes mellitus Diabetes Mellitus - epidemiology Evaluation Humans Ischemia Lesions Medical imaging Myocardial ischemia Plaque, Atherosclerotic - diagnostic imaging Predictive Value of Tests Retrospective Studies Stenosis |
| title | Diabetes, Atherosclerosis, and Stenosis by AI |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T00%3A08%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diabetes,%20Atherosclerosis,%20and%20Stenosis%20by%20AI&rft.jtitle=Diabetes%20care&rft.au=Jonas,%20Rebecca%20A&rft.date=2023-02-01&rft.volume=46&rft.issue=2&rft.spage=416&rft.epage=424&rft.pages=416-424&rft.issn=0149-5992&rft.eissn=1935-5548&rft_id=info:doi/10.2337/dc21-1663&rft_dat=%3Cproquest_pubme%3E2773340271%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2773340271&rft_id=info:pmid/36577120&rfr_iscdi=true |