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Spectral Photon-Counting Computed Tomography (SPCCT): in-vivo single-acquisition multi-phase liver imaging with a dual contrast agent protocol
Diagnostic imaging of hepatocellular carcinoma (HCC) requires a liver CT or MRI multiphase acquisition protocol. Patients would benefit from a high-resolution imaging method capable of performing multi-phase imaging in a single acquisition without an increase in radiation dose. Spectral Photon-Count...
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Published in: | Scientific reports 2019-06, Vol.9 (1), p.8458-8458, Article 8458 |
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creator | Si-Mohamed, Salim Tatard-Leitman, Valérie Laugerette, Alexis Sigovan, Monica Pfeiffer, Daniela Rummeny, Ernst J. Coulon, Philippe Yagil, Yoad Douek, Philippe Boussel, Loic Noël, Peter B. |
description | Diagnostic imaging of hepatocellular carcinoma (HCC) requires a liver CT or MRI multiphase acquisition protocol. Patients would benefit from a high-resolution imaging method capable of performing multi-phase imaging in a single acquisition without an increase in radiation dose. Spectral Photon-Counting Computed Tomography (SPCCT) has recently emerged as a novel and promising imaging modality in the field of diagnostic radiology. SPCCT is able to distinguish between two contrast agents referred to as multicolor imaging because, when measuring in three or more energy regimes, it can detect and quantify elements with a K-edge in the diagnostic energy range. Based on this capability, we tested the feasibility of a dual-contrast multi-phase liver imaging protocol via the use of iodinated and gadolinated contrast agents on four healthy New Zealand White (NZW) rabbits. To perform a dual-contrast protocol, we injected the agents at different times so that the first contrast agent visualized the portal phase and the second the arterial phase, both of which are mandatory for liver lesion characterization. We demonstrated a sensitive discrimination and quantification of gadolinium within the arteries and iodine within the liver parenchyma. In the hepatic artery, the concentration of gadolinium was much higher than iodine (8.5 ± 3.9 mg/mL
versus
0.7 ± 0.1 mg/mL) contrary to the concentrations found in the liver parenchyma (0.5 ± 0.3 mg/mL
versus
4.2 ± 0.3 mg/mL). In conclusion, our results confirm that SPCCT allows
in-vivo
dual contrast qualitative and quantitative multi-phase liver imaging in a single acquisition. |
doi_str_mv | 10.1038/s41598-019-44821-z |
format | article |
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versus
0.7 ± 0.1 mg/mL) contrary to the concentrations found in the liver parenchyma (0.5 ± 0.3 mg/mL
versus
4.2 ± 0.3 mg/mL). In conclusion, our results confirm that SPCCT allows
in-vivo
dual contrast qualitative and quantitative multi-phase liver imaging in a single acquisition.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-019-44821-z</identifier><identifier>PMID: 31186467</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>59 ; 692/308/2778 ; 692/700/1421/1846/2771 ; Abdomen - diagnostic imaging ; Abdomen - pathology ; Absorptiometry, Photon ; Animals ; Carcinoma, Hepatocellular - diagnostic imaging ; Carcinoma, Hepatocellular - pathology ; Computed tomography ; Contrast agents ; Contrast Media - pharmacology ; Disease Models, Animal ; Gadolinium ; Gadolinium - pharmacology ; Hepatic artery ; Hepatocellular carcinoma ; Humanities and Social Sciences ; Humans ; Iodine ; Iodine - pharmacology ; Life Sciences ; Liver ; Liver - diagnostic imaging ; Liver - pathology ; Liver cancer ; Liver Neoplasms - diagnostic imaging ; Liver Neoplasms - pathology ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Medical imaging ; multidisciplinary ; Parenchyma ; Phantoms, Imaging ; Photons ; Rabbits ; Radiology ; Science ; Science (multidisciplinary) ; Tomography, X-Ray Computed</subject><ispartof>Scientific reports, 2019-06, Vol.9 (1), p.8458-8458, Article 8458</ispartof><rights>The Author(s) 2019</rights><rights>The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c508t-24d985c4699365fb2ab7b166264f2e266d28964f8d6fe66bde74d0e807ea6d6e3</citedby><cites>FETCH-LOGICAL-c508t-24d985c4699365fb2ab7b166264f2e266d28964f8d6fe66bde74d0e807ea6d6e3</cites><orcidid>0000-0002-9671-6171 ; 0000-0003-0314-4010 ; 0000-0002-3568-1083 ; 0000-0002-5096-4698 ; 0000-0001-9053-8127</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2238564561/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2238564561?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791,74896</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31186467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03705112$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Si-Mohamed, Salim</creatorcontrib><creatorcontrib>Tatard-Leitman, Valérie</creatorcontrib><creatorcontrib>Laugerette, Alexis</creatorcontrib><creatorcontrib>Sigovan, Monica</creatorcontrib><creatorcontrib>Pfeiffer, Daniela</creatorcontrib><creatorcontrib>Rummeny, Ernst J.</creatorcontrib><creatorcontrib>Coulon, Philippe</creatorcontrib><creatorcontrib>Yagil, Yoad</creatorcontrib><creatorcontrib>Douek, Philippe</creatorcontrib><creatorcontrib>Boussel, Loic</creatorcontrib><creatorcontrib>Noël, Peter B.</creatorcontrib><title>Spectral Photon-Counting Computed Tomography (SPCCT): in-vivo single-acquisition multi-phase liver imaging with a dual contrast agent protocol</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Diagnostic imaging of hepatocellular carcinoma (HCC) requires a liver CT or MRI multiphase acquisition protocol. Patients would benefit from a high-resolution imaging method capable of performing multi-phase imaging in a single acquisition without an increase in radiation dose. Spectral Photon-Counting Computed Tomography (SPCCT) has recently emerged as a novel and promising imaging modality in the field of diagnostic radiology. SPCCT is able to distinguish between two contrast agents referred to as multicolor imaging because, when measuring in three or more energy regimes, it can detect and quantify elements with a K-edge in the diagnostic energy range. Based on this capability, we tested the feasibility of a dual-contrast multi-phase liver imaging protocol via the use of iodinated and gadolinated contrast agents on four healthy New Zealand White (NZW) rabbits. To perform a dual-contrast protocol, we injected the agents at different times so that the first contrast agent visualized the portal phase and the second the arterial phase, both of which are mandatory for liver lesion characterization. We demonstrated a sensitive discrimination and quantification of gadolinium within the arteries and iodine within the liver parenchyma. In the hepatic artery, the concentration of gadolinium was much higher than iodine (8.5 ± 3.9 mg/mL
versus
0.7 ± 0.1 mg/mL) contrary to the concentrations found in the liver parenchyma (0.5 ± 0.3 mg/mL
versus
4.2 ± 0.3 mg/mL). In conclusion, our results confirm that SPCCT allows
in-vivo
dual contrast qualitative and quantitative multi-phase liver imaging in a single acquisition.</description><subject>59</subject><subject>692/308/2778</subject><subject>692/700/1421/1846/2771</subject><subject>Abdomen - diagnostic imaging</subject><subject>Abdomen - pathology</subject><subject>Absorptiometry, Photon</subject><subject>Animals</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Carcinoma, Hepatocellular - pathology</subject><subject>Computed tomography</subject><subject>Contrast agents</subject><subject>Contrast Media - pharmacology</subject><subject>Disease Models, Animal</subject><subject>Gadolinium</subject><subject>Gadolinium - pharmacology</subject><subject>Hepatic artery</subject><subject>Hepatocellular carcinoma</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Iodine</subject><subject>Iodine - pharmacology</subject><subject>Life Sciences</subject><subject>Liver</subject><subject>Liver - diagnostic imaging</subject><subject>Liver - pathology</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Liver Neoplasms - pathology</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical imaging</subject><subject>multidisciplinary</subject><subject>Parenchyma</subject><subject>Phantoms, Imaging</subject><subject>Photons</subject><subject>Rabbits</subject><subject>Radiology</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Tomography, X-Ray Computed</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9klFv1SAYhhujccvcH_DCkHizXaBAgVIvTJbGbSYnccmO14S2tGVpoQN6zPYj_M1Sz5xzF3ID4Xu-9_0gb5a9xegDRrn4GChmpYAIl5BSQTC8f5EdEkQZJDkhL5-cD7LjEG5QWoyUFJevs4McY8EpLw6zn9ezbqJXI7gaXHQWVm6x0dgeVG6al6hbsHWT672ahztwcn1VVdvTT8BYuDM7B0IiRw1Vc7uYYKJxFkzLGA2cBxU0GM1Oe2Am1a-KP0wcgALtktwaZ5NriED12kYw-2TeuPFN9qpTY9DHD_tR9v38y7a6hJtvF1-rsw1sGBIREtqWgjWUl2XOWVcTVRc15pxw2hFNOG-JKNNZtLzTnNetLmiLtECFVrzlOj_KPu9156WedNvodZpRzj7N6u-kU0b-W7FmkL3bSc5YWTKRBE73AsOztsuzjVzvUF4ghjHZ4cSePJh5d7voEOVkQqPHUVntliAJoYyzohCr7Ptn6I1bvE1fkahcMJ7IVZDsqca7ELzuHifASK7pkPt0yJQO-Tsd8j41vXv65MeWP1lIQL4HQirZXvu_3v-R_QU3cMew</recordid><startdate>20190611</startdate><enddate>20190611</enddate><creator>Si-Mohamed, Salim</creator><creator>Tatard-Leitman, Valérie</creator><creator>Laugerette, Alexis</creator><creator>Sigovan, Monica</creator><creator>Pfeiffer, Daniela</creator><creator>Rummeny, Ernst J.</creator><creator>Coulon, Philippe</creator><creator>Yagil, Yoad</creator><creator>Douek, Philippe</creator><creator>Boussel, Loic</creator><creator>Noël, Peter B.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9671-6171</orcidid><orcidid>https://orcid.org/0000-0003-0314-4010</orcidid><orcidid>https://orcid.org/0000-0002-3568-1083</orcidid><orcidid>https://orcid.org/0000-0002-5096-4698</orcidid><orcidid>https://orcid.org/0000-0001-9053-8127</orcidid></search><sort><creationdate>20190611</creationdate><title>Spectral Photon-Counting Computed Tomography (SPCCT): in-vivo single-acquisition multi-phase liver imaging with a dual contrast agent protocol</title><author>Si-Mohamed, Salim ; Tatard-Leitman, Valérie ; Laugerette, Alexis ; Sigovan, Monica ; Pfeiffer, Daniela ; Rummeny, Ernst J. ; Coulon, Philippe ; Yagil, Yoad ; Douek, Philippe ; Boussel, Loic ; Noël, Peter B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c508t-24d985c4699365fb2ab7b166264f2e266d28964f8d6fe66bde74d0e807ea6d6e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>59</topic><topic>692/308/2778</topic><topic>692/700/1421/1846/2771</topic><topic>Abdomen - diagnostic imaging</topic><topic>Abdomen - pathology</topic><topic>Absorptiometry, Photon</topic><topic>Animals</topic><topic>Carcinoma, Hepatocellular - diagnostic imaging</topic><topic>Carcinoma, Hepatocellular - pathology</topic><topic>Computed tomography</topic><topic>Contrast agents</topic><topic>Contrast Media - pharmacology</topic><topic>Disease Models, Animal</topic><topic>Gadolinium</topic><topic>Gadolinium - pharmacology</topic><topic>Hepatic artery</topic><topic>Hepatocellular carcinoma</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Iodine</topic><topic>Iodine - pharmacology</topic><topic>Life Sciences</topic><topic>Liver</topic><topic>Liver - diagnostic imaging</topic><topic>Liver - pathology</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Liver Neoplasms - pathology</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical imaging</topic><topic>multidisciplinary</topic><topic>Parenchyma</topic><topic>Phantoms, Imaging</topic><topic>Photons</topic><topic>Rabbits</topic><topic>Radiology</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Si-Mohamed, Salim</creatorcontrib><creatorcontrib>Tatard-Leitman, Valérie</creatorcontrib><creatorcontrib>Laugerette, Alexis</creatorcontrib><creatorcontrib>Sigovan, Monica</creatorcontrib><creatorcontrib>Pfeiffer, Daniela</creatorcontrib><creatorcontrib>Rummeny, Ernst J.</creatorcontrib><creatorcontrib>Coulon, Philippe</creatorcontrib><creatorcontrib>Yagil, Yoad</creatorcontrib><creatorcontrib>Douek, Philippe</creatorcontrib><creatorcontrib>Boussel, Loic</creatorcontrib><creatorcontrib>Noël, Peter B.</creatorcontrib><collection>SpringerOpen (Open Access)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Si-Mohamed, Salim</au><au>Tatard-Leitman, Valérie</au><au>Laugerette, Alexis</au><au>Sigovan, Monica</au><au>Pfeiffer, Daniela</au><au>Rummeny, Ernst J.</au><au>Coulon, Philippe</au><au>Yagil, Yoad</au><au>Douek, Philippe</au><au>Boussel, Loic</au><au>Noël, Peter B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spectral Photon-Counting Computed Tomography (SPCCT): in-vivo single-acquisition multi-phase liver imaging with a dual contrast agent protocol</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2019-06-11</date><risdate>2019</risdate><volume>9</volume><issue>1</issue><spage>8458</spage><epage>8458</epage><pages>8458-8458</pages><artnum>8458</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Diagnostic imaging of hepatocellular carcinoma (HCC) requires a liver CT or MRI multiphase acquisition protocol. Patients would benefit from a high-resolution imaging method capable of performing multi-phase imaging in a single acquisition without an increase in radiation dose. Spectral Photon-Counting Computed Tomography (SPCCT) has recently emerged as a novel and promising imaging modality in the field of diagnostic radiology. SPCCT is able to distinguish between two contrast agents referred to as multicolor imaging because, when measuring in three or more energy regimes, it can detect and quantify elements with a K-edge in the diagnostic energy range. Based on this capability, we tested the feasibility of a dual-contrast multi-phase liver imaging protocol via the use of iodinated and gadolinated contrast agents on four healthy New Zealand White (NZW) rabbits. To perform a dual-contrast protocol, we injected the agents at different times so that the first contrast agent visualized the portal phase and the second the arterial phase, both of which are mandatory for liver lesion characterization. We demonstrated a sensitive discrimination and quantification of gadolinium within the arteries and iodine within the liver parenchyma. In the hepatic artery, the concentration of gadolinium was much higher than iodine (8.5 ± 3.9 mg/mL
versus
0.7 ± 0.1 mg/mL) contrary to the concentrations found in the liver parenchyma (0.5 ± 0.3 mg/mL
versus
4.2 ± 0.3 mg/mL). In conclusion, our results confirm that SPCCT allows
in-vivo
dual contrast qualitative and quantitative multi-phase liver imaging in a single acquisition.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>31186467</pmid><doi>10.1038/s41598-019-44821-z</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-9671-6171</orcidid><orcidid>https://orcid.org/0000-0003-0314-4010</orcidid><orcidid>https://orcid.org/0000-0002-3568-1083</orcidid><orcidid>https://orcid.org/0000-0002-5096-4698</orcidid><orcidid>https://orcid.org/0000-0001-9053-8127</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 59 692/308/2778 692/700/1421/1846/2771 Abdomen - diagnostic imaging Abdomen - pathology Absorptiometry, Photon Animals Carcinoma, Hepatocellular - diagnostic imaging Carcinoma, Hepatocellular - pathology Computed tomography Contrast agents Contrast Media - pharmacology Disease Models, Animal Gadolinium Gadolinium - pharmacology Hepatic artery Hepatocellular carcinoma Humanities and Social Sciences Humans Iodine Iodine - pharmacology Life Sciences Liver Liver - diagnostic imaging Liver - pathology Liver cancer Liver Neoplasms - diagnostic imaging Liver Neoplasms - pathology Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging multidisciplinary Parenchyma Phantoms, Imaging Photons Rabbits Radiology Science Science (multidisciplinary) Tomography, X-Ray Computed |
title | Spectral Photon-Counting Computed Tomography (SPCCT): in-vivo single-acquisition multi-phase liver imaging with a dual contrast agent protocol |
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