Virtual non-contrast detector-based spectral CT predictably overestimates tissue density for the characterisation of adrenal lesions compared to true non-contrast CT
Purpose To establish if virtual non-contrast (VNC) images generated from contrast-enhanced detector-based spectral CT could replace true non-contrast (TNC) imaging for the characterisation of adrenal masses. Methods TNC and VNC images were retrospectively reviewed for 39 patients with one or more ad...
Gespeichert in:
| Veröffentlicht in: | Abdominal imaging 2022-07, Vol.47 (7), p.2462-2467 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2467 |
|---|---|
| container_issue | 7 |
| container_start_page | 2462 |
| container_title | Abdominal imaging |
| container_volume | 47 |
| creator | Shern Liang, Ee Wastney, Timothy Dobeli, Karen Hacking, Craig |
| description | Purpose
To establish if virtual non-contrast (VNC) images generated from contrast-enhanced detector-based spectral CT could replace true non-contrast (TNC) imaging for the characterisation of adrenal masses.
Methods
TNC and VNC images were retrospectively reviewed for 39 patients with one or more adrenal lesions who underwent contrast-enhanced spectral CT of the upper abdomen. Lesions were categorised as either ‘adenoma’ or ‘indeterminate/other lesion’ based on current reference standards. The CT density of each lesion was measured on both image sets by two readers and compared using Wilcoxon signed-rank test. ROC analysis with Youden’s J index method was performed to determine the optimal attenuation cut-off for diagnosing benign adenoma on VNC images.
Results
Forty-four lesions were included, 37 of which were diagnosed as adenomas. There were significant differences between TNC and VNC measurements for both readers (mean difference 9.1 HU for reader 1; 9.8 HU for reader 2;
p
|
| doi_str_mv | 10.1007/s00261-022-03528-y |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2664806860</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2664806860</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-871fba21dd01c8fe68eda46dff9737f88e2738ff53642bfb3f3a458c0b85153d3</originalsourceid><addsrcrecordid>eNp9kcuOFCEUhonROJNxXsCFIXHjBuVSUPTSdBw1mcRN65ZQcHBqUl2UHMqkHsj3lLHH68IVt-98cPgJeSr4S8F5_wo5l0YwLiXjSkvLtgfkXCpjGOfaPvxjfkYuEW8558JoIaR-TM6U1kZqo87Jt09jqauf6JxnFvJci8dKI1QINRc2eIRIcWmr0qD9gS4F4hiqH6aN5q9QAOt49BWQ1hFxhVY741g3mnKh9QZouPHFhwplRF_HPNOcqI8F5uabANsO0pCPi29iWjOtpUn-es3-8IQ8Sn5CuLwfL8jHqzeH_Tt2_eHt-_3raxYU15XZXqTBSxEjF8EmMBai70xMaderPlkLslc2Ja1MJ4c0qKR8p23gg9VCq6guyIuTdyn5y9pac8cRA0yTnyGv6KQxneXGGt7Q5_-gt3ktrak7qt_tdN_LrlHyRIWSEQskt5T2XWVzgru7HN0pR9dydD9ydFsrenavXocjxF8lP1NrgDoB2I7mz1B-3_0f7XfUkqz0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2679957724</pqid></control><display><type>article</type><title>Virtual non-contrast detector-based spectral CT predictably overestimates tissue density for the characterisation of adrenal lesions compared to true non-contrast CT</title><source>SpringerLink Journals - AutoHoldings</source><creator>Shern Liang, Ee ; Wastney, Timothy ; Dobeli, Karen ; Hacking, Craig</creator><creatorcontrib>Shern Liang, Ee ; Wastney, Timothy ; Dobeli, Karen ; Hacking, Craig</creatorcontrib><description>Purpose
To establish if virtual non-contrast (VNC) images generated from contrast-enhanced detector-based spectral CT could replace true non-contrast (TNC) imaging for the characterisation of adrenal masses.
Methods
TNC and VNC images were retrospectively reviewed for 39 patients with one or more adrenal lesions who underwent contrast-enhanced spectral CT of the upper abdomen. Lesions were categorised as either ‘adenoma’ or ‘indeterminate/other lesion’ based on current reference standards. The CT density of each lesion was measured on both image sets by two readers and compared using Wilcoxon signed-rank test. ROC analysis with Youden’s J index method was performed to determine the optimal attenuation cut-off for diagnosing benign adenoma on VNC images.
Results
Forty-four lesions were included, 37 of which were diagnosed as adenomas. There were significant differences between TNC and VNC measurements for both readers (mean difference 9.1 HU for reader 1; 9.8 HU for reader 2;
p
< 0.01). Optimal attenuation thresholds for diagnosing adenomas on VNC were 25.3 HU (reader 1) and 23.9 HU (reader 2) for the entire population, and 18.3 HU (reader 1) and 19.7 HU (reader 2) for lipid-rich adenomas < 10 HU on TNC imaging.
Conclusion
There is insufficient evidence to support the use of VNC as a substitute for TNC images in the characterisation of adrenal lesions. VNC using a detector-based spectral CT scanner shows a predictable increase in attenuation values compared to TNC. Thus, future studies might be better directed towards finding a new threshold value for diagnosing benign adrenal adenomas on VNC imaging.</description><identifier>ISSN: 2366-0058</identifier><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-022-03528-y</identifier><identifier>PMID: 35562563</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adenoma ; Attenuation ; Computed tomography ; Density ; Gastroenterology ; Hepatology ; Image contrast ; Image enhancement ; Imaging ; Lesions ; Lipids ; Medical imaging ; Medicine ; Medicine & Public Health ; Neuroendocrine tumors ; Perspective ; Radiology ; Rank tests ; Readers ; Sensors ; Tumors</subject><ispartof>Abdominal imaging, 2022-07, Vol.47 (7), p.2462-2467</ispartof><rights>Crown 2022</rights><rights>2022. Crown.</rights><rights>Crown 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-871fba21dd01c8fe68eda46dff9737f88e2738ff53642bfb3f3a458c0b85153d3</citedby><cites>FETCH-LOGICAL-c305t-871fba21dd01c8fe68eda46dff9737f88e2738ff53642bfb3f3a458c0b85153d3</cites><orcidid>0000-0001-5320-0362 ; 0000-0001-6655-8566</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/s00261-022-03528-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-022-03528-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35562563$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shern Liang, Ee</creatorcontrib><creatorcontrib>Wastney, Timothy</creatorcontrib><creatorcontrib>Dobeli, Karen</creatorcontrib><creatorcontrib>Hacking, Craig</creatorcontrib><title>Virtual non-contrast detector-based spectral CT predictably overestimates tissue density for the characterisation of adrenal lesions compared to true non-contrast CT</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
To establish if virtual non-contrast (VNC) images generated from contrast-enhanced detector-based spectral CT could replace true non-contrast (TNC) imaging for the characterisation of adrenal masses.
Methods
TNC and VNC images were retrospectively reviewed for 39 patients with one or more adrenal lesions who underwent contrast-enhanced spectral CT of the upper abdomen. Lesions were categorised as either ‘adenoma’ or ‘indeterminate/other lesion’ based on current reference standards. The CT density of each lesion was measured on both image sets by two readers and compared using Wilcoxon signed-rank test. ROC analysis with Youden’s J index method was performed to determine the optimal attenuation cut-off for diagnosing benign adenoma on VNC images.
Results
Forty-four lesions were included, 37 of which were diagnosed as adenomas. There were significant differences between TNC and VNC measurements for both readers (mean difference 9.1 HU for reader 1; 9.8 HU for reader 2;
p
< 0.01). Optimal attenuation thresholds for diagnosing adenomas on VNC were 25.3 HU (reader 1) and 23.9 HU (reader 2) for the entire population, and 18.3 HU (reader 1) and 19.7 HU (reader 2) for lipid-rich adenomas < 10 HU on TNC imaging.
Conclusion
There is insufficient evidence to support the use of VNC as a substitute for TNC images in the characterisation of adrenal lesions. VNC using a detector-based spectral CT scanner shows a predictable increase in attenuation values compared to TNC. Thus, future studies might be better directed towards finding a new threshold value for diagnosing benign adrenal adenomas on VNC imaging.</description><subject>Adenoma</subject><subject>Attenuation</subject><subject>Computed tomography</subject><subject>Density</subject><subject>Gastroenterology</subject><subject>Hepatology</subject><subject>Image contrast</subject><subject>Image enhancement</subject><subject>Imaging</subject><subject>Lesions</subject><subject>Lipids</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neuroendocrine tumors</subject><subject>Perspective</subject><subject>Radiology</subject><subject>Rank tests</subject><subject>Readers</subject><subject>Sensors</subject><subject>Tumors</subject><issn>2366-0058</issn><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kcuOFCEUhonROJNxXsCFIXHjBuVSUPTSdBw1mcRN65ZQcHBqUl2UHMqkHsj3lLHH68IVt-98cPgJeSr4S8F5_wo5l0YwLiXjSkvLtgfkXCpjGOfaPvxjfkYuEW8558JoIaR-TM6U1kZqo87Jt09jqauf6JxnFvJci8dKI1QINRc2eIRIcWmr0qD9gS4F4hiqH6aN5q9QAOt49BWQ1hFxhVY741g3mnKh9QZouPHFhwplRF_HPNOcqI8F5uabANsO0pCPi29iWjOtpUn-es3-8IQ8Sn5CuLwfL8jHqzeH_Tt2_eHt-_3raxYU15XZXqTBSxEjF8EmMBai70xMaderPlkLslc2Ja1MJ4c0qKR8p23gg9VCq6guyIuTdyn5y9pac8cRA0yTnyGv6KQxneXGGt7Q5_-gt3ktrak7qt_tdN_LrlHyRIWSEQskt5T2XWVzgru7HN0pR9dydD9ydFsrenavXocjxF8lP1NrgDoB2I7mz1B-3_0f7XfUkqz0</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Shern Liang, Ee</creator><creator>Wastney, Timothy</creator><creator>Dobeli, Karen</creator><creator>Hacking, Craig</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/0000-0001-5320-0362</orcidid><orcidid>https://orcid.org/0000-0001-6655-8566</orcidid></search><sort><creationdate>20220701</creationdate><title>Virtual non-contrast detector-based spectral CT predictably overestimates tissue density for the characterisation of adrenal lesions compared to true non-contrast CT</title><author>Shern Liang, Ee ; Wastney, Timothy ; Dobeli, Karen ; Hacking, Craig</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-871fba21dd01c8fe68eda46dff9737f88e2738ff53642bfb3f3a458c0b85153d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adenoma</topic><topic>Attenuation</topic><topic>Computed tomography</topic><topic>Density</topic><topic>Gastroenterology</topic><topic>Hepatology</topic><topic>Image contrast</topic><topic>Image enhancement</topic><topic>Imaging</topic><topic>Lesions</topic><topic>Lipids</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neuroendocrine tumors</topic><topic>Perspective</topic><topic>Radiology</topic><topic>Rank tests</topic><topic>Readers</topic><topic>Sensors</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shern Liang, Ee</creatorcontrib><creatorcontrib>Wastney, Timothy</creatorcontrib><creatorcontrib>Dobeli, Karen</creatorcontrib><creatorcontrib>Hacking, Craig</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>Shern Liang, Ee</au><au>Wastney, Timothy</au><au>Dobeli, Karen</au><au>Hacking, Craig</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Virtual non-contrast detector-based spectral CT predictably overestimates tissue density for the characterisation of adrenal lesions compared to true non-contrast CT</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>47</volume><issue>7</issue><spage>2462</spage><epage>2467</epage><pages>2462-2467</pages><issn>2366-0058</issn><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
To establish if virtual non-contrast (VNC) images generated from contrast-enhanced detector-based spectral CT could replace true non-contrast (TNC) imaging for the characterisation of adrenal masses.
Methods
TNC and VNC images were retrospectively reviewed for 39 patients with one or more adrenal lesions who underwent contrast-enhanced spectral CT of the upper abdomen. Lesions were categorised as either ‘adenoma’ or ‘indeterminate/other lesion’ based on current reference standards. The CT density of each lesion was measured on both image sets by two readers and compared using Wilcoxon signed-rank test. ROC analysis with Youden’s J index method was performed to determine the optimal attenuation cut-off for diagnosing benign adenoma on VNC images.
Results
Forty-four lesions were included, 37 of which were diagnosed as adenomas. There were significant differences between TNC and VNC measurements for both readers (mean difference 9.1 HU for reader 1; 9.8 HU for reader 2;
p
< 0.01). Optimal attenuation thresholds for diagnosing adenomas on VNC were 25.3 HU (reader 1) and 23.9 HU (reader 2) for the entire population, and 18.3 HU (reader 1) and 19.7 HU (reader 2) for lipid-rich adenomas < 10 HU on TNC imaging.
Conclusion
There is insufficient evidence to support the use of VNC as a substitute for TNC images in the characterisation of adrenal lesions. VNC using a detector-based spectral CT scanner shows a predictable increase in attenuation values compared to TNC. Thus, future studies might be better directed towards finding a new threshold value for diagnosing benign adrenal adenomas on VNC imaging.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>35562563</pmid><doi>10.1007/s00261-022-03528-y</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-5320-0362</orcidid><orcidid>https://orcid.org/0000-0001-6655-8566</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2366-0058 |
| ispartof | Abdominal imaging, 2022-07, Vol.47 (7), p.2462-2467 |
| issn | 2366-0058 2366-004X 2366-0058 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2664806860 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Adenoma Attenuation Computed tomography Density Gastroenterology Hepatology Image contrast Image enhancement Imaging Lesions Lipids Medical imaging Medicine Medicine & Public Health Neuroendocrine tumors Perspective Radiology Rank tests Readers Sensors Tumors |
| title | Virtual non-contrast detector-based spectral CT predictably overestimates tissue density for the characterisation of adrenal lesions compared to true non-contrast CT |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T19%3A03%3A42IST&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=Virtual%20non-contrast%20detector-based%20spectral%20CT%20predictably%20overestimates%20tissue%20density%20for%20the%20characterisation%20of%20adrenal%20lesions%20compared%20to%20true%20non-contrast%20CT&rft.jtitle=Abdominal%20imaging&rft.au=Shern%20Liang,%20Ee&rft.date=2022-07-01&rft.volume=47&rft.issue=7&rft.spage=2462&rft.epage=2467&rft.pages=2462-2467&rft.issn=2366-0058&rft.eissn=2366-0058&rft_id=info:doi/10.1007/s00261-022-03528-y&rft_dat=%3Cproquest_cross%3E2664806860%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=2679957724&rft_id=info:pmid/35562563&rfr_iscdi=true |