Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction
•Ultralow dose calcium scoring CT can be achieved with simultaneous reduction of the tube voltage and current.•Deep learning reconstruction enables reliable calcium scoring and risk categorization at ultralow dose.•The proven feasibility of ultralow dose calcium scoring CT with deep learning reconst...
Gespeichert in:
| Veröffentlicht in: | European journal of radiology 2024-12, Vol.181, p.111742, Article 111742 |
|---|---|
| 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 | |
| container_start_page | 111742 |
| container_title | European journal of radiology |
| container_volume | 181 |
| creator | Zhuo, Liyong Xu, Shijie Zhang, Guozhi Xing, Lihong Zhang, Yu Ma, Zepeng Wang, Jianing Yin, Xiaoping |
| description | •Ultralow dose calcium scoring CT can be achieved with simultaneous reduction of the tube voltage and current.•Deep learning reconstruction enables reliable calcium scoring and risk categorization at ultralow dose.•The proven feasibility of ultralow dose calcium scoring CT with deep learning reconstruction shows potential for further dose optimization.
To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.
In this prospective study, seventy-five patients (group A) undergoing routine dose CSCT (120kVp/30mAs) were followed by a low dose (120kVp/20mAs) scan and another 81 (group B) were followed by an ultralow dose (80kVp/20mAs) scan. The hybrid iterative reconstruction was used for the routine dose data while the DLR for data of reduced dose. The calcium score and risk categorization were compared, where the correlation was evaluated using the intraclass correlation coefficient (ICC). The noise suppression performance of DLR was characterized by the contrast-to-noise ratio (CNR) between coronary arteries and pericoronary fat.
The effective dose was 0.32 ± 0.03 vs. 0.48 ± 0.05 mSv for the two scans in group A and 0.09 ± 0.01 vs. 0.49 ± 0.05 mSv in group B. No significant difference was found on CACSs within either group (A: p = 0.10, ICC=0.99; B: p = 0.14, ICC=0.99), nor was it different on risk categorization (A: p = 0.32, ICC=0.99; B: p = 0.16, ICC=0.99). The DLR images exhibited higher CNR in both groups (A: p |
| doi_str_mv | 10.1016/j.ejrad.2024.111742 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3109972635</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0720048X24004583</els_id><sourcerecordid>3109972635</sourcerecordid><originalsourceid>FETCH-LOGICAL-c239t-1f6f62322e1de9b6be13c76449bb810700c8bbfde937a51f110ee698ef0934f83</originalsourceid><addsrcrecordid>eNp9kEtrGzEQgEVJaZy0v6BQdMxlHT3Wq9Whh2LSNhDIJYHehB6zQWYtuXqk-N9XW6c55jRo5hvNzIfQZ0rWlNDhereGXdJuzQjr15RS0bN3aEVHwTohmDhDKyIY6Ug__jpHFznvCCGbXrIP6JxLzuiwESt0fJxL0nP8g13MgG1MMeh0xFbP1tc9zi3jwxPePmBdcAJXLThcqgH8HOeinwDr4LCtKUEo2BxxzQvvAA54Bp3C8vL7BUxgY8glVVt8DB_R-0nPGT69xEv0-P3mYfuzu7v_cbv9dtdZxmXp6DRMA-OMAXUgzWCAciuGvpfGjJQIQuxozNRqXOgNnSglAIMcYSKS99PIL9HV6d9Dir8r5KL2PluYZx0g1qw4JVIKNvBNQ_kJtSnmnGBSh9RWT0dFiVqcq53651wtztXJeev68jKgmj24157_khvw9QRAO_PZQ1LZeghNpG9KinLRvzngL0iSlVY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3109972635</pqid></control><display><type>article</type><title>Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Zhuo, Liyong ; Xu, Shijie ; Zhang, Guozhi ; Xing, Lihong ; Zhang, Yu ; Ma, Zepeng ; Wang, Jianing ; Yin, Xiaoping</creator><creatorcontrib>Zhuo, Liyong ; Xu, Shijie ; Zhang, Guozhi ; Xing, Lihong ; Zhang, Yu ; Ma, Zepeng ; Wang, Jianing ; Yin, Xiaoping</creatorcontrib><description>•Ultralow dose calcium scoring CT can be achieved with simultaneous reduction of the tube voltage and current.•Deep learning reconstruction enables reliable calcium scoring and risk categorization at ultralow dose.•The proven feasibility of ultralow dose calcium scoring CT with deep learning reconstruction shows potential for further dose optimization.
To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.
In this prospective study, seventy-five patients (group A) undergoing routine dose CSCT (120kVp/30mAs) were followed by a low dose (120kVp/20mAs) scan and another 81 (group B) were followed by an ultralow dose (80kVp/20mAs) scan. The hybrid iterative reconstruction was used for the routine dose data while the DLR for data of reduced dose. The calcium score and risk categorization were compared, where the correlation was evaluated using the intraclass correlation coefficient (ICC). The noise suppression performance of DLR was characterized by the contrast-to-noise ratio (CNR) between coronary arteries and pericoronary fat.
The effective dose was 0.32 ± 0.03 vs. 0.48 ± 0.05 mSv for the two scans in group A and 0.09 ± 0.01 vs. 0.49 ± 0.05 mSv in group B. No significant difference was found on CACSs within either group (A: p = 0.10, ICC=0.99; B: p = 0.14, ICC=0.99), nor was it different on risk categorization (A: p = 0.32, ICC=0.99; B: p = 0.16, ICC=0.99). The DLR images exhibited higher CNR in both groups (A: p < 0.001; B: p = 0.001).
The DLR allowed reliable calcium scoring in not only low dose CSCT with reduced tube current but ultralow dose CSCT with simultaneously reduced tube voltage and current, showing feasibility to be adopted in routine applications.</description><identifier>ISSN: 0720-048X</identifier><identifier>ISSN: 1872-7727</identifier><identifier>EISSN: 1872-7727</identifier><identifier>DOI: 10.1016/j.ejrad.2024.111742</identifier><identifier>PMID: 39321657</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Aged ; Coronary Angiography - methods ; Coronary artery calcium score ; Coronary artery disease ; Coronary Artery Disease - diagnostic imaging ; Deep Learning ; Deep learning reconstruction ; Dose reduction ; Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; Radiation Dosage ; Radiographic Image Interpretation, Computer-Assisted - methods ; Tomography, X-Ray Computed - methods ; Vascular Calcification - diagnostic imaging</subject><ispartof>European journal of radiology, 2024-12, Vol.181, p.111742, Article 111742</ispartof><rights>2024 Elsevier B.V.</rights><rights>Copyright © 2024 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c239t-1f6f62322e1de9b6be13c76449bb810700c8bbfde937a51f110ee698ef0934f83</cites><orcidid>0009-0009-6408-9335</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ejrad.2024.111742$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39321657$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhuo, Liyong</creatorcontrib><creatorcontrib>Xu, Shijie</creatorcontrib><creatorcontrib>Zhang, Guozhi</creatorcontrib><creatorcontrib>Xing, Lihong</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Ma, Zepeng</creatorcontrib><creatorcontrib>Wang, Jianing</creatorcontrib><creatorcontrib>Yin, Xiaoping</creatorcontrib><title>Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction</title><title>European journal of radiology</title><addtitle>Eur J Radiol</addtitle><description>•Ultralow dose calcium scoring CT can be achieved with simultaneous reduction of the tube voltage and current.•Deep learning reconstruction enables reliable calcium scoring and risk categorization at ultralow dose.•The proven feasibility of ultralow dose calcium scoring CT with deep learning reconstruction shows potential for further dose optimization.
To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.
In this prospective study, seventy-five patients (group A) undergoing routine dose CSCT (120kVp/30mAs) were followed by a low dose (120kVp/20mAs) scan and another 81 (group B) were followed by an ultralow dose (80kVp/20mAs) scan. The hybrid iterative reconstruction was used for the routine dose data while the DLR for data of reduced dose. The calcium score and risk categorization were compared, where the correlation was evaluated using the intraclass correlation coefficient (ICC). The noise suppression performance of DLR was characterized by the contrast-to-noise ratio (CNR) between coronary arteries and pericoronary fat.
The effective dose was 0.32 ± 0.03 vs. 0.48 ± 0.05 mSv for the two scans in group A and 0.09 ± 0.01 vs. 0.49 ± 0.05 mSv in group B. No significant difference was found on CACSs within either group (A: p = 0.10, ICC=0.99; B: p = 0.14, ICC=0.99), nor was it different on risk categorization (A: p = 0.32, ICC=0.99; B: p = 0.16, ICC=0.99). The DLR images exhibited higher CNR in both groups (A: p < 0.001; B: p = 0.001).
The DLR allowed reliable calcium scoring in not only low dose CSCT with reduced tube current but ultralow dose CSCT with simultaneously reduced tube voltage and current, showing feasibility to be adopted in routine applications.</description><subject>Aged</subject><subject>Coronary Angiography - methods</subject><subject>Coronary artery calcium score</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - diagnostic imaging</subject><subject>Deep Learning</subject><subject>Deep learning reconstruction</subject><subject>Dose reduction</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Prospective Studies</subject><subject>Radiation Dosage</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Vascular Calcification - diagnostic imaging</subject><issn>0720-048X</issn><issn>1872-7727</issn><issn>1872-7727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtrGzEQgEVJaZy0v6BQdMxlHT3Wq9Whh2LSNhDIJYHehB6zQWYtuXqk-N9XW6c55jRo5hvNzIfQZ0rWlNDhereGXdJuzQjr15RS0bN3aEVHwTohmDhDKyIY6Ug__jpHFznvCCGbXrIP6JxLzuiwESt0fJxL0nP8g13MgG1MMeh0xFbP1tc9zi3jwxPePmBdcAJXLThcqgH8HOeinwDr4LCtKUEo2BxxzQvvAA54Bp3C8vL7BUxgY8glVVt8DB_R-0nPGT69xEv0-P3mYfuzu7v_cbv9dtdZxmXp6DRMA-OMAXUgzWCAciuGvpfGjJQIQuxozNRqXOgNnSglAIMcYSKS99PIL9HV6d9Dir8r5KL2PluYZx0g1qw4JVIKNvBNQ_kJtSnmnGBSh9RWT0dFiVqcq53651wtztXJeev68jKgmj24157_khvw9QRAO_PZQ1LZeghNpG9KinLRvzngL0iSlVY</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Zhuo, Liyong</creator><creator>Xu, Shijie</creator><creator>Zhang, Guozhi</creator><creator>Xing, Lihong</creator><creator>Zhang, Yu</creator><creator>Ma, Zepeng</creator><creator>Wang, Jianing</creator><creator>Yin, Xiaoping</creator><general>Elsevier B.V</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>7X8</scope><orcidid>https://orcid.org/0009-0009-6408-9335</orcidid></search><sort><creationdate>202412</creationdate><title>Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction</title><author>Zhuo, Liyong ; Xu, Shijie ; Zhang, Guozhi ; Xing, Lihong ; Zhang, Yu ; Ma, Zepeng ; Wang, Jianing ; Yin, Xiaoping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c239t-1f6f62322e1de9b6be13c76449bb810700c8bbfde937a51f110ee698ef0934f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Coronary Angiography - methods</topic><topic>Coronary artery calcium score</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - diagnostic imaging</topic><topic>Deep Learning</topic><topic>Deep learning reconstruction</topic><topic>Dose reduction</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Prospective Studies</topic><topic>Radiation Dosage</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Vascular Calcification - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhuo, Liyong</creatorcontrib><creatorcontrib>Xu, Shijie</creatorcontrib><creatorcontrib>Zhang, Guozhi</creatorcontrib><creatorcontrib>Xing, Lihong</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Ma, Zepeng</creatorcontrib><creatorcontrib>Wang, Jianing</creatorcontrib><creatorcontrib>Yin, Xiaoping</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhuo, Liyong</au><au>Xu, Shijie</au><au>Zhang, Guozhi</au><au>Xing, Lihong</au><au>Zhang, Yu</au><au>Ma, Zepeng</au><au>Wang, Jianing</au><au>Yin, Xiaoping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2024-12</date><risdate>2024</risdate><volume>181</volume><spage>111742</spage><pages>111742-</pages><artnum>111742</artnum><issn>0720-048X</issn><issn>1872-7727</issn><eissn>1872-7727</eissn><abstract>•Ultralow dose calcium scoring CT can be achieved with simultaneous reduction of the tube voltage and current.•Deep learning reconstruction enables reliable calcium scoring and risk categorization at ultralow dose.•The proven feasibility of ultralow dose calcium scoring CT with deep learning reconstruction shows potential for further dose optimization.
To explore the potential of the deep learning reconstruction (DLR) for ultralow dose calcium scoring CT (CSCT) with simultaneously reduced tube voltage and current.
In this prospective study, seventy-five patients (group A) undergoing routine dose CSCT (120kVp/30mAs) were followed by a low dose (120kVp/20mAs) scan and another 81 (group B) were followed by an ultralow dose (80kVp/20mAs) scan. The hybrid iterative reconstruction was used for the routine dose data while the DLR for data of reduced dose. The calcium score and risk categorization were compared, where the correlation was evaluated using the intraclass correlation coefficient (ICC). The noise suppression performance of DLR was characterized by the contrast-to-noise ratio (CNR) between coronary arteries and pericoronary fat.
The effective dose was 0.32 ± 0.03 vs. 0.48 ± 0.05 mSv for the two scans in group A and 0.09 ± 0.01 vs. 0.49 ± 0.05 mSv in group B. No significant difference was found on CACSs within either group (A: p = 0.10, ICC=0.99; B: p = 0.14, ICC=0.99), nor was it different on risk categorization (A: p = 0.32, ICC=0.99; B: p = 0.16, ICC=0.99). The DLR images exhibited higher CNR in both groups (A: p < 0.001; B: p = 0.001).
The DLR allowed reliable calcium scoring in not only low dose CSCT with reduced tube current but ultralow dose CSCT with simultaneously reduced tube voltage and current, showing feasibility to be adopted in routine applications.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>39321657</pmid><doi>10.1016/j.ejrad.2024.111742</doi><orcidid>https://orcid.org/0009-0009-6408-9335</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0720-048X |
| ispartof | European journal of radiology, 2024-12, Vol.181, p.111742, Article 111742 |
| issn | 0720-048X 1872-7727 1872-7727 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3109972635 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Aged Coronary Angiography - methods Coronary artery calcium score Coronary artery disease Coronary Artery Disease - diagnostic imaging Deep Learning Deep learning reconstruction Dose reduction Female Humans Male Middle Aged Prospective Studies Radiation Dosage Radiographic Image Interpretation, Computer-Assisted - methods Tomography, X-Ray Computed - methods Vascular Calcification - diagnostic imaging |
| title | Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T11%3A50%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ultralow%20dose%20coronary%20calcium%20scoring%20CT%20at%20reduced%20tube%20voltage%20and%20current%20by%20using%20deep%20learning%20image%20reconstruction&rft.jtitle=European%20journal%20of%20radiology&rft.au=Zhuo,%20Liyong&rft.date=2024-12&rft.volume=181&rft.spage=111742&rft.pages=111742-&rft.artnum=111742&rft.issn=0720-048X&rft.eissn=1872-7727&rft_id=info:doi/10.1016/j.ejrad.2024.111742&rft_dat=%3Cproquest_cross%3E3109972635%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3109972635&rft_id=info:pmid/39321657&rft_els_id=S0720048X24004583&rfr_iscdi=true |