Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve
Our study aimed to demonstrate the influence of left ventricular (LV) diastolic dysfunction on the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR). One hundred vessels from 90 patients were retrospectively analyzed. All patients underwent e...
Gespeichert in:
| Veröffentlicht in: | Journal of clinical medicine 2023-02, Vol.12 (5), p.1724 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 5 |
| container_start_page | 1724 |
| container_title | Journal of clinical medicine |
| container_volume | 12 |
| creator | Xie, Zhixin Wu, Tianlong Mu, Jing Zhang, Ping Wang, Xuan Liang, Tao Weng, Yihan Luo, Jianfang Yu, Huimin |
| description | Our study aimed to demonstrate the influence of left ventricular (LV) diastolic dysfunction on the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR).
One hundred vessels from 90 patients were retrospectively analyzed. All patients underwent echocardiography, coronary computed tomography angiography (CCTA), CT-FFR, invasive coronary angiography (ICA), and fractional flow reserve (FFR). The study population was divided into normal and dysfunction groups according to the LV diastolic function, and the diagnostic performance in both groups was assessed.
There was a good correlation between CT-FFR and FFR (R = 0.768
< 0.001) on a per-vessel basis. The sensitivity, specificity, and accuracy were 82.3%, 81.8%, and 82%, respectively. The sensitivity, specificity, and accuracy were 84.6%, 88.5%, and 87.2% in the normal group and 81%, 77.5%, and 78.7% in the dysfunction group, respectively. CT-FFR showed no statistically significant difference in the AUC in the normal group vs. the dysfunction group (AUC: 0.920 [95% CI 0.787-0.983] vs. 0.871 [95% CI 0.761-0.943], Z = 0.772
= 0.440). However, there was still a good correlation between CT-FFR and FFR in the normal group (R = 0.767,
< 0.001) and dysfunction group (R = 0.767
< 0.001).
LV diastolic dysfunction had no effect on the diagnostic accuracy of CT-FFR. CT-FFR has good diagnostic performance in both LV diastolic dysfunction and the normal group and can be used as an effective tool for finding lesion-specific ischemia while screening for arterial disease in patients. |
| doi_str_mv | 10.3390/jcm12051724 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10003343</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A750335307</galeid><sourcerecordid>A750335307</sourcerecordid><originalsourceid>FETCH-LOGICAL-c435t-29e107f03752739ed024ea2b436c51fbde10ff6001977547cd9de39f74eba0b83</originalsourceid><addsrcrecordid>eNptkl1v0zAUhiMEYtPYFffIEjdIKMMfSZxcoaqlY1IlEBrcWo5znLpy7GInRf0x_Ne5WxkdwrbkI7-PX_scnSx7TfAVYw3-sFEDobgknBbPsnOKOc8xq9nzk_gsu4xxg9Oo64IS_jI7Y1WDaUnIefb7xmk7gVOAvEYr0CP6AW4MRk1WBrQwMo7eGoUW-6gnp0bjHUprXMNB7J2PY1K_QtA-DPLoM_fBOxn2KRi20wgduvWD74Pcrvdo5npzjPMFBLNL8jLIe2tp0dL6X-gbRAg7eJW90NJGuDzuF9n35afb-ed89eX6Zj5b5apg5ZjTBgjmGjNeUs4a6DAtQNK2YJUqiW67JGtdYUwazsuCq67pgDWaF9BK3NbsIvv44Lud2gE6daiAtGIbzJCyEF4a8VRxZi16vxMkVZWxgiWHd0eH4H9OEEcxmKjAWunAT1FQXle4SR-qEvr2H3Tjp5BSv6dKSmhR4b9ULy0I47RPD6uDqZjxMj1aMswTdfUfKs0OBqO8A23S-ZML7x8uqOBjDKAfkyRYHDpKnHRUot-c1uWR_dM_7A48g8fx</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2785212460</pqid></control><display><type>article</type><title>Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>PubMed Central Open Access</source><creator>Xie, Zhixin ; Wu, Tianlong ; Mu, Jing ; Zhang, Ping ; Wang, Xuan ; Liang, Tao ; Weng, Yihan ; Luo, Jianfang ; Yu, Huimin</creator><creatorcontrib>Xie, Zhixin ; Wu, Tianlong ; Mu, Jing ; Zhang, Ping ; Wang, Xuan ; Liang, Tao ; Weng, Yihan ; Luo, Jianfang ; Yu, Huimin</creatorcontrib><description>Our study aimed to demonstrate the influence of left ventricular (LV) diastolic dysfunction on the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR).
One hundred vessels from 90 patients were retrospectively analyzed. All patients underwent echocardiography, coronary computed tomography angiography (CCTA), CT-FFR, invasive coronary angiography (ICA), and fractional flow reserve (FFR). The study population was divided into normal and dysfunction groups according to the LV diastolic function, and the diagnostic performance in both groups was assessed.
There was a good correlation between CT-FFR and FFR (R = 0.768
< 0.001) on a per-vessel basis. The sensitivity, specificity, and accuracy were 82.3%, 81.8%, and 82%, respectively. The sensitivity, specificity, and accuracy were 84.6%, 88.5%, and 87.2% in the normal group and 81%, 77.5%, and 78.7% in the dysfunction group, respectively. CT-FFR showed no statistically significant difference in the AUC in the normal group vs. the dysfunction group (AUC: 0.920 [95% CI 0.787-0.983] vs. 0.871 [95% CI 0.761-0.943], Z = 0.772
= 0.440). However, there was still a good correlation between CT-FFR and FFR in the normal group (R = 0.767,
< 0.001) and dysfunction group (R = 0.767
< 0.001).
LV diastolic dysfunction had no effect on the diagnostic accuracy of CT-FFR. CT-FFR has good diagnostic performance in both LV diastolic dysfunction and the normal group and can be used as an effective tool for finding lesion-specific ischemia while screening for arterial disease in patients.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm12051724</identifier><identifier>PMID: 36902511</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adenosine ; Angiography ; Boundary conditions ; Calcification ; Cardiovascular disease ; Catheters ; Clinical medicine ; Coronary heart disease ; Coronary vessels ; CT imaging ; Diagnosis ; Health aspects ; Heart rate ; Left ventricular function ; Medical imaging ; Methods ; Myocardial ischemia ; Patients ; Tomography ; Ultrasonic imaging ; Veins & arteries ; Work stations</subject><ispartof>Journal of clinical medicine, 2023-02, Vol.12 (5), p.1724</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c435t-29e107f03752739ed024ea2b436c51fbde10ff6001977547cd9de39f74eba0b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003343/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003343/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36902511$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xie, Zhixin</creatorcontrib><creatorcontrib>Wu, Tianlong</creatorcontrib><creatorcontrib>Mu, Jing</creatorcontrib><creatorcontrib>Zhang, Ping</creatorcontrib><creatorcontrib>Wang, Xuan</creatorcontrib><creatorcontrib>Liang, Tao</creatorcontrib><creatorcontrib>Weng, Yihan</creatorcontrib><creatorcontrib>Luo, Jianfang</creatorcontrib><creatorcontrib>Yu, Huimin</creatorcontrib><title>Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>Our study aimed to demonstrate the influence of left ventricular (LV) diastolic dysfunction on the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR).
One hundred vessels from 90 patients were retrospectively analyzed. All patients underwent echocardiography, coronary computed tomography angiography (CCTA), CT-FFR, invasive coronary angiography (ICA), and fractional flow reserve (FFR). The study population was divided into normal and dysfunction groups according to the LV diastolic function, and the diagnostic performance in both groups was assessed.
There was a good correlation between CT-FFR and FFR (R = 0.768
< 0.001) on a per-vessel basis. The sensitivity, specificity, and accuracy were 82.3%, 81.8%, and 82%, respectively. The sensitivity, specificity, and accuracy were 84.6%, 88.5%, and 87.2% in the normal group and 81%, 77.5%, and 78.7% in the dysfunction group, respectively. CT-FFR showed no statistically significant difference in the AUC in the normal group vs. the dysfunction group (AUC: 0.920 [95% CI 0.787-0.983] vs. 0.871 [95% CI 0.761-0.943], Z = 0.772
= 0.440). However, there was still a good correlation between CT-FFR and FFR in the normal group (R = 0.767,
< 0.001) and dysfunction group (R = 0.767
< 0.001).
LV diastolic dysfunction had no effect on the diagnostic accuracy of CT-FFR. CT-FFR has good diagnostic performance in both LV diastolic dysfunction and the normal group and can be used as an effective tool for finding lesion-specific ischemia while screening for arterial disease in patients.</description><subject>Adenosine</subject><subject>Angiography</subject><subject>Boundary conditions</subject><subject>Calcification</subject><subject>Cardiovascular disease</subject><subject>Catheters</subject><subject>Clinical medicine</subject><subject>Coronary heart disease</subject><subject>Coronary vessels</subject><subject>CT imaging</subject><subject>Diagnosis</subject><subject>Health aspects</subject><subject>Heart rate</subject><subject>Left ventricular function</subject><subject>Medical imaging</subject><subject>Methods</subject><subject>Myocardial ischemia</subject><subject>Patients</subject><subject>Tomography</subject><subject>Ultrasonic imaging</subject><subject>Veins & arteries</subject><subject>Work stations</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkl1v0zAUhiMEYtPYFffIEjdIKMMfSZxcoaqlY1IlEBrcWo5znLpy7GInRf0x_Ne5WxkdwrbkI7-PX_scnSx7TfAVYw3-sFEDobgknBbPsnOKOc8xq9nzk_gsu4xxg9Oo64IS_jI7Y1WDaUnIefb7xmk7gVOAvEYr0CP6AW4MRk1WBrQwMo7eGoUW-6gnp0bjHUprXMNB7J2PY1K_QtA-DPLoM_fBOxn2KRi20wgduvWD74Pcrvdo5npzjPMFBLNL8jLIe2tp0dL6X-gbRAg7eJW90NJGuDzuF9n35afb-ed89eX6Zj5b5apg5ZjTBgjmGjNeUs4a6DAtQNK2YJUqiW67JGtdYUwazsuCq67pgDWaF9BK3NbsIvv44Lud2gE6daiAtGIbzJCyEF4a8VRxZi16vxMkVZWxgiWHd0eH4H9OEEcxmKjAWunAT1FQXle4SR-qEvr2H3Tjp5BSv6dKSmhR4b9ULy0I47RPD6uDqZjxMj1aMswTdfUfKs0OBqO8A23S-ZML7x8uqOBjDKAfkyRYHDpKnHRUot-c1uWR_dM_7A48g8fx</recordid><startdate>20230221</startdate><enddate>20230221</enddate><creator>Xie, Zhixin</creator><creator>Wu, Tianlong</creator><creator>Mu, Jing</creator><creator>Zhang, Ping</creator><creator>Wang, Xuan</creator><creator>Liang, Tao</creator><creator>Weng, Yihan</creator><creator>Luo, Jianfang</creator><creator>Yu, Huimin</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230221</creationdate><title>Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve</title><author>Xie, Zhixin ; Wu, Tianlong ; Mu, Jing ; Zhang, Ping ; Wang, Xuan ; Liang, Tao ; Weng, Yihan ; Luo, Jianfang ; Yu, Huimin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c435t-29e107f03752739ed024ea2b436c51fbde10ff6001977547cd9de39f74eba0b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adenosine</topic><topic>Angiography</topic><topic>Boundary conditions</topic><topic>Calcification</topic><topic>Cardiovascular disease</topic><topic>Catheters</topic><topic>Clinical medicine</topic><topic>Coronary heart disease</topic><topic>Coronary vessels</topic><topic>CT imaging</topic><topic>Diagnosis</topic><topic>Health aspects</topic><topic>Heart rate</topic><topic>Left ventricular function</topic><topic>Medical imaging</topic><topic>Methods</topic><topic>Myocardial ischemia</topic><topic>Patients</topic><topic>Tomography</topic><topic>Ultrasonic imaging</topic><topic>Veins & arteries</topic><topic>Work stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xie, Zhixin</creatorcontrib><creatorcontrib>Wu, Tianlong</creatorcontrib><creatorcontrib>Mu, Jing</creatorcontrib><creatorcontrib>Zhang, Ping</creatorcontrib><creatorcontrib>Wang, Xuan</creatorcontrib><creatorcontrib>Liang, Tao</creatorcontrib><creatorcontrib>Weng, Yihan</creatorcontrib><creatorcontrib>Luo, Jianfang</creatorcontrib><creatorcontrib>Yu, Huimin</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Zhixin</au><au>Wu, Tianlong</au><au>Mu, Jing</au><au>Zhang, Ping</au><au>Wang, Xuan</au><au>Liang, Tao</au><au>Weng, Yihan</au><au>Luo, Jianfang</au><au>Yu, Huimin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2023-02-21</date><risdate>2023</risdate><volume>12</volume><issue>5</issue><spage>1724</spage><pages>1724-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>Our study aimed to demonstrate the influence of left ventricular (LV) diastolic dysfunction on the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve (CT-FFR).
One hundred vessels from 90 patients were retrospectively analyzed. All patients underwent echocardiography, coronary computed tomography angiography (CCTA), CT-FFR, invasive coronary angiography (ICA), and fractional flow reserve (FFR). The study population was divided into normal and dysfunction groups according to the LV diastolic function, and the diagnostic performance in both groups was assessed.
There was a good correlation between CT-FFR and FFR (R = 0.768
< 0.001) on a per-vessel basis. The sensitivity, specificity, and accuracy were 82.3%, 81.8%, and 82%, respectively. The sensitivity, specificity, and accuracy were 84.6%, 88.5%, and 87.2% in the normal group and 81%, 77.5%, and 78.7% in the dysfunction group, respectively. CT-FFR showed no statistically significant difference in the AUC in the normal group vs. the dysfunction group (AUC: 0.920 [95% CI 0.787-0.983] vs. 0.871 [95% CI 0.761-0.943], Z = 0.772
= 0.440). However, there was still a good correlation between CT-FFR and FFR in the normal group (R = 0.767,
< 0.001) and dysfunction group (R = 0.767
< 0.001).
LV diastolic dysfunction had no effect on the diagnostic accuracy of CT-FFR. CT-FFR has good diagnostic performance in both LV diastolic dysfunction and the normal group and can be used as an effective tool for finding lesion-specific ischemia while screening for arterial disease in patients.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36902511</pmid><doi>10.3390/jcm12051724</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2077-0383 |
| ispartof | Journal of clinical medicine, 2023-02, Vol.12 (5), p.1724 |
| issn | 2077-0383 2077-0383 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10003343 |
| source | MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
| subjects | Adenosine Angiography Boundary conditions Calcification Cardiovascular disease Catheters Clinical medicine Coronary heart disease Coronary vessels CT imaging Diagnosis Health aspects Heart rate Left ventricular function Medical imaging Methods Myocardial ischemia Patients Tomography Ultrasonic imaging Veins & arteries Work stations |
| title | Influence of Left Ventricular Diastolic Dysfunction on the Diagnostic Performance of Coronary Computed Tomography Angiography-Derived Fractional Flow Reserve |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T01%3A21%3A05IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Influence%20of%20Left%20Ventricular%20Diastolic%20Dysfunction%20on%20the%20Diagnostic%20Performance%20of%20Coronary%20Computed%20Tomography%20Angiography-Derived%20Fractional%20Flow%20Reserve&rft.jtitle=Journal%20of%20clinical%20medicine&rft.au=Xie,%20Zhixin&rft.date=2023-02-21&rft.volume=12&rft.issue=5&rft.spage=1724&rft.pages=1724-&rft.issn=2077-0383&rft.eissn=2077-0383&rft_id=info:doi/10.3390/jcm12051724&rft_dat=%3Cgale_pubme%3EA750335307%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2785212460&rft_id=info:pmid/36902511&rft_galeid=A750335307&rfr_iscdi=true |