Feasibility of wide detector three-pass arterial phase liver CT in patients with cirrhosis: timing of hyperenhancing lesion peak conspicuity
Purpose To evaluate feasibility of a wide detector liver CT protocol with three acquisitions in the hepatic arterial phase. Methods Forty-one patients with cirrhosis prospectively underwent a wide detector axial liver CT protocol. Three 16 cm axial liver acquisitions were obtained during a single br...
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Veröffentlicht in: | Abdominal imaging 2020-08, Vol.45 (8), p.2370-2377 |
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creator | Soloff, Erik V. Desai, Nitin Busey, Janet M. Koprowicz, Kent M. Shuman, William P. |
description | Purpose
To evaluate feasibility of a wide detector liver CT protocol with three acquisitions in the hepatic arterial phase.
Methods
Forty-one patients with cirrhosis prospectively underwent a wide detector axial liver CT protocol. Three 16 cm axial liver acquisitions were obtained during a single breath hold at peak aortic enhancement plus 10, 20, and 25 s. Two readers working separately scored overall exam quality, identified hyperenhancing lesions, and subjectively scored and ranked relative lesion conspicuity. Objective lesion enhancement was measured and CNR calculated. Data were analyzed using a generalized linear models and Tukey’s post hoc testing.
Results
Seventy-one hyperenhancing lesions were identified with average size of 1.8 cm (range 0.4–9.6 cm). The two readers separately identified 60 and 54 lesions on the 10 s arterial acquisition, 70 and 67 on the 20 s, and 52 and 51 on the 25 s. The readers determined all exams had diagnostic image quality. Subjective ranking of lesion conspicuity was greatest at 20 s in 62% of lesions but was greatest at 10 or 25 s in 38%. CNR was highest at 20 s in 58% of lesions but was highest at 10 or 25 s in 42%. Overall, there was no significant difference in mean CNR between the three arterial acquisitions.
Conclusion
A wide detector axial liver CT protocol with three acquisitions in the hepatic arterial phase is technologically feasible and results in diagnostic image quality. With this protocol, peak subjective and objective hyperenhancing lesion conspicuity may be earlier or later than 20 s in up to 40% of lesions. |
doi_str_mv | 10.1007/s00261-020-02539-x |
format | Article |
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To evaluate feasibility of a wide detector liver CT protocol with three acquisitions in the hepatic arterial phase.
Methods
Forty-one patients with cirrhosis prospectively underwent a wide detector axial liver CT protocol. Three 16 cm axial liver acquisitions were obtained during a single breath hold at peak aortic enhancement plus 10, 20, and 25 s. Two readers working separately scored overall exam quality, identified hyperenhancing lesions, and subjectively scored and ranked relative lesion conspicuity. Objective lesion enhancement was measured and CNR calculated. Data were analyzed using a generalized linear models and Tukey’s post hoc testing.
Results
Seventy-one hyperenhancing lesions were identified with average size of 1.8 cm (range 0.4–9.6 cm). The two readers separately identified 60 and 54 lesions on the 10 s arterial acquisition, 70 and 67 on the 20 s, and 52 and 51 on the 25 s. The readers determined all exams had diagnostic image quality. Subjective ranking of lesion conspicuity was greatest at 20 s in 62% of lesions but was greatest at 10 or 25 s in 38%. CNR was highest at 20 s in 58% of lesions but was highest at 10 or 25 s in 42%. Overall, there was no significant difference in mean CNR between the three arterial acquisitions.
Conclusion
A wide detector axial liver CT protocol with three acquisitions in the hepatic arterial phase is technologically feasible and results in diagnostic image quality. With this protocol, peak subjective and objective hyperenhancing lesion conspicuity may be earlier or later than 20 s in up to 40% of lesions.</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-020-02539-x</identifier><identifier>PMID: 32333072</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Aorta ; Cirrhosis ; Conspicuity ; Diagnostic systems ; Feasibility studies ; Gastroenterology ; Generalized linear models ; Hepatobiliary ; Hepatology ; Image quality ; Imaging ; Lesions ; Liver ; Liver cirrhosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Radiology ; Sensors ; Statistical models</subject><ispartof>Abdominal imaging, 2020-08, Vol.45 (8), p.2370-2377</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-c53a02e84bd2f55e206b2aca9e25278bdefd49fc9b68aa0aef85215e287ee82e3</citedby><cites>FETCH-LOGICAL-c375t-c53a02e84bd2f55e206b2aca9e25278bdefd49fc9b68aa0aef85215e287ee82e3</cites><orcidid>0000-0002-4473-6736</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00261-020-02539-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-020-02539-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32333072$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Soloff, Erik V.</creatorcontrib><creatorcontrib>Desai, Nitin</creatorcontrib><creatorcontrib>Busey, Janet M.</creatorcontrib><creatorcontrib>Koprowicz, Kent M.</creatorcontrib><creatorcontrib>Shuman, William P.</creatorcontrib><title>Feasibility of wide detector three-pass arterial phase liver CT in patients with cirrhosis: timing of hyperenhancing lesion peak conspicuity</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
To evaluate feasibility of a wide detector liver CT protocol with three acquisitions in the hepatic arterial phase.
Methods
Forty-one patients with cirrhosis prospectively underwent a wide detector axial liver CT protocol. Three 16 cm axial liver acquisitions were obtained during a single breath hold at peak aortic enhancement plus 10, 20, and 25 s. Two readers working separately scored overall exam quality, identified hyperenhancing lesions, and subjectively scored and ranked relative lesion conspicuity. Objective lesion enhancement was measured and CNR calculated. Data were analyzed using a generalized linear models and Tukey’s post hoc testing.
Results
Seventy-one hyperenhancing lesions were identified with average size of 1.8 cm (range 0.4–9.6 cm). The two readers separately identified 60 and 54 lesions on the 10 s arterial acquisition, 70 and 67 on the 20 s, and 52 and 51 on the 25 s. The readers determined all exams had diagnostic image quality. Subjective ranking of lesion conspicuity was greatest at 20 s in 62% of lesions but was greatest at 10 or 25 s in 38%. CNR was highest at 20 s in 58% of lesions but was highest at 10 or 25 s in 42%. Overall, there was no significant difference in mean CNR between the three arterial acquisitions.
Conclusion
A wide detector axial liver CT protocol with three acquisitions in the hepatic arterial phase is technologically feasible and results in diagnostic image quality. With this protocol, peak subjective and objective hyperenhancing lesion conspicuity may be earlier or later than 20 s in up to 40% of lesions.</description><subject>Aorta</subject><subject>Cirrhosis</subject><subject>Conspicuity</subject><subject>Diagnostic systems</subject><subject>Feasibility studies</subject><subject>Gastroenterology</subject><subject>Generalized linear models</subject><subject>Hepatobiliary</subject><subject>Hepatology</subject><subject>Image quality</subject><subject>Imaging</subject><subject>Lesions</subject><subject>Liver</subject><subject>Liver cirrhosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Radiology</subject><subject>Sensors</subject><subject>Statistical models</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1u1TAQhSMEolXbF2CBLLFhExjbcX7YoSsKSJXYtFJ3luNMGpdcO3ic0vsOPDS-3FIkFl2MPLK_c2bkUxSvOLzjAM17AhA1L0FALiW78v5ZcSxkXZcAqn3-2FfXR8UZ0S0A8FpxLtTL4kgKKSU04rj4dY6GXO9ml3YsjOynG5ANmNCmEFmaImK5GCJmYsLozMyWyRCy2d1hZJtL5jxbTHLoE2Vxmph1MU6BHH1gyW2dv9nbTrsFI_rJeLu_mZFcyEI035kNnhZn17zAafFiNDPh2cN5Ulydf7rcfCkvvn3-uvl4UVrZqFRaJQ0IbKt-EKNSKKDuhbGmQ6FE0_YDjkPVjbbr69YYMDi2SvDMtQ1iK1CeFG8PvksMP1akpLeOLM6z8RhW0kJ2Vdt0Tc0z-uY_9Das0efttKgEdPn_G5kpcaBsDEQRR71EtzVxpznofVz6EJfOuP4Tl77PotcP1mu_xeFR8jecDMgDQPnJ32D8N_sJ298jGqNw</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Soloff, Erik V.</creator><creator>Desai, Nitin</creator><creator>Busey, Janet M.</creator><creator>Koprowicz, Kent M.</creator><creator>Shuman, William P.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4473-6736</orcidid></search><sort><creationdate>20200801</creationdate><title>Feasibility of wide detector three-pass arterial phase liver CT in patients with cirrhosis: timing of hyperenhancing lesion peak conspicuity</title><author>Soloff, Erik V. ; Desai, Nitin ; Busey, Janet M. ; Koprowicz, Kent M. ; Shuman, William P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-c53a02e84bd2f55e206b2aca9e25278bdefd49fc9b68aa0aef85215e287ee82e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aorta</topic><topic>Cirrhosis</topic><topic>Conspicuity</topic><topic>Diagnostic systems</topic><topic>Feasibility studies</topic><topic>Gastroenterology</topic><topic>Generalized linear models</topic><topic>Hepatobiliary</topic><topic>Hepatology</topic><topic>Image quality</topic><topic>Imaging</topic><topic>Lesions</topic><topic>Liver</topic><topic>Liver cirrhosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Radiology</topic><topic>Sensors</topic><topic>Statistical models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soloff, Erik V.</creatorcontrib><creatorcontrib>Desai, Nitin</creatorcontrib><creatorcontrib>Busey, Janet M.</creatorcontrib><creatorcontrib>Koprowicz, Kent M.</creatorcontrib><creatorcontrib>Shuman, William P.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soloff, Erik V.</au><au>Desai, Nitin</au><au>Busey, Janet M.</au><au>Koprowicz, Kent M.</au><au>Shuman, William P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Feasibility of wide detector three-pass arterial phase liver CT in patients with cirrhosis: timing of hyperenhancing lesion peak conspicuity</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>45</volume><issue>8</issue><spage>2370</spage><epage>2377</epage><pages>2370-2377</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
To evaluate feasibility of a wide detector liver CT protocol with three acquisitions in the hepatic arterial phase.
Methods
Forty-one patients with cirrhosis prospectively underwent a wide detector axial liver CT protocol. Three 16 cm axial liver acquisitions were obtained during a single breath hold at peak aortic enhancement plus 10, 20, and 25 s. Two readers working separately scored overall exam quality, identified hyperenhancing lesions, and subjectively scored and ranked relative lesion conspicuity. Objective lesion enhancement was measured and CNR calculated. Data were analyzed using a generalized linear models and Tukey’s post hoc testing.
Results
Seventy-one hyperenhancing lesions were identified with average size of 1.8 cm (range 0.4–9.6 cm). The two readers separately identified 60 and 54 lesions on the 10 s arterial acquisition, 70 and 67 on the 20 s, and 52 and 51 on the 25 s. The readers determined all exams had diagnostic image quality. Subjective ranking of lesion conspicuity was greatest at 20 s in 62% of lesions but was greatest at 10 or 25 s in 38%. CNR was highest at 20 s in 58% of lesions but was highest at 10 or 25 s in 42%. Overall, there was no significant difference in mean CNR between the three arterial acquisitions.
Conclusion
A wide detector axial liver CT protocol with three acquisitions in the hepatic arterial phase is technologically feasible and results in diagnostic image quality. With this protocol, peak subjective and objective hyperenhancing lesion conspicuity may be earlier or later than 20 s in up to 40% of lesions.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>32333072</pmid><doi>10.1007/s00261-020-02539-x</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-4473-6736</orcidid></addata></record> |
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subjects | Aorta Cirrhosis Conspicuity Diagnostic systems Feasibility studies Gastroenterology Generalized linear models Hepatobiliary Hepatology Image quality Imaging Lesions Liver Liver cirrhosis Medical imaging Medicine Medicine & Public Health Radiology Sensors Statistical models |
title | Feasibility of wide detector three-pass arterial phase liver CT in patients with cirrhosis: timing of hyperenhancing lesion peak conspicuity |
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