Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels
To understand the reliability of low-dose chest computed tomography (LDCT) in coronary artery calcification (CAC) assessment and evaluate the performance of different reconstruction kernels against the standard cardiac computed tomography (CaCT) as reference. Patients from the NELCIN-B3 screening pr...
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| Veröffentlicht in: | Clinical imaging 2022-03, Vol.83, p.166-171 |
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| creator | An, Sun Fan, Rongrong Zhao, Baolian Yi, Qian Yao, Sun Shi, Xiaolei Zhu, Yibai Yi, Xiao Liu, Shiyuan |
| description | To understand the reliability of low-dose chest computed tomography (LDCT) in coronary artery calcification (CAC) assessment and evaluate the performance of different reconstruction kernels against the standard cardiac computed tomography (CaCT) as reference.
Patients from the NELCIN-B3 screening program who underwent CaCT and LDCT scans were analyzed retrospectively. LDCT were reconstructed with smooth, standard, and sharp kernels (Group B1, B2 and B3) to compare against standard CaCT (Group A). The image quality was evaluated by noise value, signal-to-noise ratio (SNR), and contrast to noise ratio (CNR); moreover, radiation dose was recorded for both scans. Coronary artery calcification scores (CACS) were measured with volume, mass and Agatston standards. Agatston score was divided into four cardiovascular risk categories (0, 1–99, 100–399, and >400). The agreement in CACS and risk classification between LDCT and CaCT was analyzed by intra-group correlation coefficient (ICC) and Kappa test.
The sensitivity of diagnosing CAC with LDCT was 98.5% (330/335) regardless of reconstruction kernels. Group B1 demonstrated the highest agreement in raw CACS (ICC volume 0.932; mass 0.904; Agatston 0.906; all p |
| doi_str_mv | 10.1016/j.clinimag.2021.12.024 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2622657484</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S089970712100499X</els_id><sourcerecordid>2628639072</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-42783e7b0e5bcd84892a2a5aa5e06c40c0b9c06212f5ff72bc94f3033bea44cc3</originalsourceid><addsrcrecordid>eNqFkc1v1DAQxS0EokvhX6gsceGS1F-J4xtoVT6kSlzK2XIm49ZL1i520mr_e7zalgOXnuYwv_dm9B4hF5y1nPH-ctfCHGLYu9tWMMFbLlom1Cuy4YOWjVLGvCYbNhjTaKb5GXlXyo5VoVH6LTmTHdOqF92GjFcPbl7dEuIthZRTdPlAXV6wDnAzBB-gblOkj2G5o3N6bKZUkMIdloVub2hGSLEseYUFJzoe6BS8x4xxob8xR5zLe_LGu7ngh6d5Tn59vbrZfm-uf377sf1y3YA0_dIooQeJemTYjTANajDCCdc51yHrQTFgowHWCy58570WIxjlJZNyRKcUgDwnn06-9zn9Wet7dh8K4Dy7iGktVvRC9J1Wg6rox__QXVpzrN8dqaGXhmlRqf5EQU6lZPT2PtfE88FyZo8t2J19bsEeW7Bc2NpCFV482a_jHqd_sufYK_D5BNR48CFgtgUCRsAp1DwXO6Xw0o2_Cp6dDA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2628639072</pqid></control><display><type>article</type><title>Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>An, Sun ; Fan, Rongrong ; Zhao, Baolian ; Yi, Qian ; Yao, Sun ; Shi, Xiaolei ; Zhu, Yibai ; Yi, Xiao ; Liu, Shiyuan</creator><creatorcontrib>An, Sun ; Fan, Rongrong ; Zhao, Baolian ; Yi, Qian ; Yao, Sun ; Shi, Xiaolei ; Zhu, Yibai ; Yi, Xiao ; Liu, Shiyuan</creatorcontrib><description>To understand the reliability of low-dose chest computed tomography (LDCT) in coronary artery calcification (CAC) assessment and evaluate the performance of different reconstruction kernels against the standard cardiac computed tomography (CaCT) as reference.
Patients from the NELCIN-B3 screening program who underwent CaCT and LDCT scans were analyzed retrospectively. LDCT were reconstructed with smooth, standard, and sharp kernels (Group B1, B2 and B3) to compare against standard CaCT (Group A). The image quality was evaluated by noise value, signal-to-noise ratio (SNR), and contrast to noise ratio (CNR); moreover, radiation dose was recorded for both scans. Coronary artery calcification scores (CACS) were measured with volume, mass and Agatston standards. Agatston score was divided into four cardiovascular risk categories (0, 1–99, 100–399, and >400). The agreement in CACS and risk classification between LDCT and CaCT was analyzed by intra-group correlation coefficient (ICC) and Kappa test.
The sensitivity of diagnosing CAC with LDCT was 98.5% (330/335) regardless of reconstruction kernels. Group B1 demonstrated the highest agreement in raw CACS (ICC volume 0.932; mass 0.904; Agatston 0.906; all p < 0.001) and risk classification (kappa 0.757, 95% CI 0.70–0.82). Smooth-kernel reconstruction achieved lower image noise, better SNR and CNR than other kernels. The effective radiation dose in of LDCT was 41.2% lower than that of the calcium scan (p < 0.001).
Reconstructing LDCT with a smooth kernel in LDCT could provide a reliable imaging method to detect and quantitatively evaluate CAC, potentially expanding the application of LDCT lung screening to incidental findings of cardiovascular disease.
•Low dose CT (LDCT) reconstructed with filter back projection achieved favorable agreement in coronary artery calcium scoring (CACS) with ECG-gated cardiac CT•Heart rate significantly affected the reliability of LDCT-based CACS•Smooth kernel may improve CACS accuracy</description><identifier>ISSN: 0899-7071</identifier><identifier>EISSN: 1873-4499</identifier><identifier>DOI: 10.1016/j.clinimag.2021.12.024</identifier><identifier>PMID: 35074625</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Agreements ; Algorithms ; Body mass index ; CAD ; Calcification ; Calcification (ectopic) ; Cardiovascular diseases ; Cardiovascular risk classification ; Chest ; Classification ; Computed tomography ; Computer aided design ; Coronary artery ; Coronary artery calcification ; Coronary Artery Disease - diagnostic imaging ; Coronary vessels ; Correlation coefficient ; Correlation coefficients ; Health risks ; Heart rate ; Humans ; Image contrast ; Image processing ; Image quality ; Image reconstruction ; Kernels ; Low-dose chest computed tomography ; Medical imaging ; Noise standards ; Performance evaluation ; Quantitative analysis ; Radiation ; Radiation Dosage ; Reconstruction kernel ; Reproducibility of Results ; Retrospective Studies ; Risk ; Sensitivity analysis ; Signal to noise ratio ; Standard deviation ; Tomography ; Tomography, X-Ray Computed - methods ; Vascular Calcification - diagnostic imaging ; Veins & arteries ; Work stations</subject><ispartof>Clinical imaging, 2022-03, Vol.83, p.166-171</ispartof><rights>2021</rights><rights>Copyright © 2021. Published by Elsevier Inc.</rights><rights>Copyright Elsevier Limited Mar 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-42783e7b0e5bcd84892a2a5aa5e06c40c0b9c06212f5ff72bc94f3033bea44cc3</citedby><cites>FETCH-LOGICAL-c396t-42783e7b0e5bcd84892a2a5aa5e06c40c0b9c06212f5ff72bc94f3033bea44cc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S089970712100499X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35074625$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>An, Sun</creatorcontrib><creatorcontrib>Fan, Rongrong</creatorcontrib><creatorcontrib>Zhao, Baolian</creatorcontrib><creatorcontrib>Yi, Qian</creatorcontrib><creatorcontrib>Yao, Sun</creatorcontrib><creatorcontrib>Shi, Xiaolei</creatorcontrib><creatorcontrib>Zhu, Yibai</creatorcontrib><creatorcontrib>Yi, Xiao</creatorcontrib><creatorcontrib>Liu, Shiyuan</creatorcontrib><title>Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels</title><title>Clinical imaging</title><addtitle>Clin Imaging</addtitle><description>To understand the reliability of low-dose chest computed tomography (LDCT) in coronary artery calcification (CAC) assessment and evaluate the performance of different reconstruction kernels against the standard cardiac computed tomography (CaCT) as reference.
Patients from the NELCIN-B3 screening program who underwent CaCT and LDCT scans were analyzed retrospectively. LDCT were reconstructed with smooth, standard, and sharp kernels (Group B1, B2 and B3) to compare against standard CaCT (Group A). The image quality was evaluated by noise value, signal-to-noise ratio (SNR), and contrast to noise ratio (CNR); moreover, radiation dose was recorded for both scans. Coronary artery calcification scores (CACS) were measured with volume, mass and Agatston standards. Agatston score was divided into four cardiovascular risk categories (0, 1–99, 100–399, and >400). The agreement in CACS and risk classification between LDCT and CaCT was analyzed by intra-group correlation coefficient (ICC) and Kappa test.
The sensitivity of diagnosing CAC with LDCT was 98.5% (330/335) regardless of reconstruction kernels. Group B1 demonstrated the highest agreement in raw CACS (ICC volume 0.932; mass 0.904; Agatston 0.906; all p < 0.001) and risk classification (kappa 0.757, 95% CI 0.70–0.82). Smooth-kernel reconstruction achieved lower image noise, better SNR and CNR than other kernels. The effective radiation dose in of LDCT was 41.2% lower than that of the calcium scan (p < 0.001).
Reconstructing LDCT with a smooth kernel in LDCT could provide a reliable imaging method to detect and quantitatively evaluate CAC, potentially expanding the application of LDCT lung screening to incidental findings of cardiovascular disease.
•Low dose CT (LDCT) reconstructed with filter back projection achieved favorable agreement in coronary artery calcium scoring (CACS) with ECG-gated cardiac CT•Heart rate significantly affected the reliability of LDCT-based CACS•Smooth kernel may improve CACS accuracy</description><subject>Agreements</subject><subject>Algorithms</subject><subject>Body mass index</subject><subject>CAD</subject><subject>Calcification</subject><subject>Calcification (ectopic)</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular risk classification</subject><subject>Chest</subject><subject>Classification</subject><subject>Computed tomography</subject><subject>Computer aided design</subject><subject>Coronary artery</subject><subject>Coronary artery calcification</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Coronary vessels</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Health risks</subject><subject>Heart rate</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Image processing</subject><subject>Image quality</subject><subject>Image reconstruction</subject><subject>Kernels</subject><subject>Low-dose chest computed tomography</subject><subject>Medical imaging</subject><subject>Noise standards</subject><subject>Performance evaluation</subject><subject>Quantitative analysis</subject><subject>Radiation</subject><subject>Radiation Dosage</subject><subject>Reconstruction kernel</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Sensitivity analysis</subject><subject>Signal to noise ratio</subject><subject>Standard deviation</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Vascular Calcification - diagnostic imaging</subject><subject>Veins & arteries</subject><subject>Work stations</subject><issn>0899-7071</issn><issn>1873-4499</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1v1DAQxS0EokvhX6gsceGS1F-J4xtoVT6kSlzK2XIm49ZL1i520mr_e7zalgOXnuYwv_dm9B4hF5y1nPH-ctfCHGLYu9tWMMFbLlom1Cuy4YOWjVLGvCYbNhjTaKb5GXlXyo5VoVH6LTmTHdOqF92GjFcPbl7dEuIthZRTdPlAXV6wDnAzBB-gblOkj2G5o3N6bKZUkMIdloVub2hGSLEseYUFJzoe6BS8x4xxob8xR5zLe_LGu7ngh6d5Tn59vbrZfm-uf377sf1y3YA0_dIooQeJemTYjTANajDCCdc51yHrQTFgowHWCy58570WIxjlJZNyRKcUgDwnn06-9zn9Wet7dh8K4Dy7iGktVvRC9J1Wg6rox__QXVpzrN8dqaGXhmlRqf5EQU6lZPT2PtfE88FyZo8t2J19bsEeW7Bc2NpCFV482a_jHqd_sufYK_D5BNR48CFgtgUCRsAp1DwXO6Xw0o2_Cp6dDA</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>An, Sun</creator><creator>Fan, Rongrong</creator><creator>Zhao, Baolian</creator><creator>Yi, Qian</creator><creator>Yao, Sun</creator><creator>Shi, Xiaolei</creator><creator>Zhu, Yibai</creator><creator>Yi, Xiao</creator><creator>Liu, Shiyuan</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>202203</creationdate><title>Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels</title><author>An, Sun ; Fan, Rongrong ; Zhao, Baolian ; Yi, Qian ; Yao, Sun ; Shi, Xiaolei ; Zhu, Yibai ; Yi, Xiao ; Liu, Shiyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-42783e7b0e5bcd84892a2a5aa5e06c40c0b9c06212f5ff72bc94f3033bea44cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agreements</topic><topic>Algorithms</topic><topic>Body mass index</topic><topic>CAD</topic><topic>Calcification</topic><topic>Calcification (ectopic)</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular risk classification</topic><topic>Chest</topic><topic>Classification</topic><topic>Computed tomography</topic><topic>Computer aided design</topic><topic>Coronary artery</topic><topic>Coronary artery calcification</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Coronary vessels</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Health risks</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Image contrast</topic><topic>Image processing</topic><topic>Image quality</topic><topic>Image reconstruction</topic><topic>Kernels</topic><topic>Low-dose chest computed tomography</topic><topic>Medical imaging</topic><topic>Noise standards</topic><topic>Performance evaluation</topic><topic>Quantitative analysis</topic><topic>Radiation</topic><topic>Radiation Dosage</topic><topic>Reconstruction kernel</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Sensitivity analysis</topic><topic>Signal to noise ratio</topic><topic>Standard deviation</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Vascular Calcification - diagnostic imaging</topic><topic>Veins & arteries</topic><topic>Work stations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>An, Sun</creatorcontrib><creatorcontrib>Fan, Rongrong</creatorcontrib><creatorcontrib>Zhao, Baolian</creatorcontrib><creatorcontrib>Yi, Qian</creatorcontrib><creatorcontrib>Yao, Sun</creatorcontrib><creatorcontrib>Shi, Xiaolei</creatorcontrib><creatorcontrib>Zhu, Yibai</creatorcontrib><creatorcontrib>Yi, Xiao</creatorcontrib><creatorcontrib>Liu, Shiyuan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>An, Sun</au><au>Fan, Rongrong</au><au>Zhao, Baolian</au><au>Yi, Qian</au><au>Yao, Sun</au><au>Shi, Xiaolei</au><au>Zhu, Yibai</au><au>Yi, Xiao</au><au>Liu, Shiyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels</atitle><jtitle>Clinical imaging</jtitle><addtitle>Clin Imaging</addtitle><date>2022-03</date><risdate>2022</risdate><volume>83</volume><spage>166</spage><epage>171</epage><pages>166-171</pages><issn>0899-7071</issn><eissn>1873-4499</eissn><abstract>To understand the reliability of low-dose chest computed tomography (LDCT) in coronary artery calcification (CAC) assessment and evaluate the performance of different reconstruction kernels against the standard cardiac computed tomography (CaCT) as reference.
Patients from the NELCIN-B3 screening program who underwent CaCT and LDCT scans were analyzed retrospectively. LDCT were reconstructed with smooth, standard, and sharp kernels (Group B1, B2 and B3) to compare against standard CaCT (Group A). The image quality was evaluated by noise value, signal-to-noise ratio (SNR), and contrast to noise ratio (CNR); moreover, radiation dose was recorded for both scans. Coronary artery calcification scores (CACS) were measured with volume, mass and Agatston standards. Agatston score was divided into four cardiovascular risk categories (0, 1–99, 100–399, and >400). The agreement in CACS and risk classification between LDCT and CaCT was analyzed by intra-group correlation coefficient (ICC) and Kappa test.
The sensitivity of diagnosing CAC with LDCT was 98.5% (330/335) regardless of reconstruction kernels. Group B1 demonstrated the highest agreement in raw CACS (ICC volume 0.932; mass 0.904; Agatston 0.906; all p < 0.001) and risk classification (kappa 0.757, 95% CI 0.70–0.82). Smooth-kernel reconstruction achieved lower image noise, better SNR and CNR than other kernels. The effective radiation dose in of LDCT was 41.2% lower than that of the calcium scan (p < 0.001).
Reconstructing LDCT with a smooth kernel in LDCT could provide a reliable imaging method to detect and quantitatively evaluate CAC, potentially expanding the application of LDCT lung screening to incidental findings of cardiovascular disease.
•Low dose CT (LDCT) reconstructed with filter back projection achieved favorable agreement in coronary artery calcium scoring (CACS) with ECG-gated cardiac CT•Heart rate significantly affected the reliability of LDCT-based CACS•Smooth kernel may improve CACS accuracy</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>35074625</pmid><doi>10.1016/j.clinimag.2021.12.024</doi><tpages>6</tpages></addata></record> |
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| subjects | Agreements Algorithms Body mass index CAD Calcification Calcification (ectopic) Cardiovascular diseases Cardiovascular risk classification Chest Classification Computed tomography Computer aided design Coronary artery Coronary artery calcification Coronary Artery Disease - diagnostic imaging Coronary vessels Correlation coefficient Correlation coefficients Health risks Heart rate Humans Image contrast Image processing Image quality Image reconstruction Kernels Low-dose chest computed tomography Medical imaging Noise standards Performance evaluation Quantitative analysis Radiation Radiation Dosage Reconstruction kernel Reproducibility of Results Retrospective Studies Risk Sensitivity analysis Signal to noise ratio Standard deviation Tomography Tomography, X-Ray Computed - methods Vascular Calcification - diagnostic imaging Veins & arteries Work stations |
| title | Evaluating coronary artery calcification with low-dose chest CT reconstructed by different kernels |
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