Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer
This study aimed to compare the quality of virtual low-keV monoenergetic images vs conventional images reconstructed from dual-layer spectral detector computed tomography (SDCT) for the detection of peritoneal implants of ovarian cancer.Fifty ovarian cancer patients who underwent abdominopelvic SDCT...
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| Veröffentlicht in: | Medicine (Baltimore) 2020-06, Vol.99 (23), p.e20444-e20444 |
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| creator | Kim, Taek Min Kim, Sang Youn Cho, Jeong Yeon Kim, Seung Hyup Moon, Min Hoan |
| description | This study aimed to compare the quality of virtual low-keV monoenergetic images vs conventional images reconstructed from dual-layer spectral detector computed tomography (SDCT) for the detection of peritoneal implants of ovarian cancer.Fifty ovarian cancer patients who underwent abdominopelvic SDCT scans were included in this retrospective study. Virtual monoenergetic images at 40 (VMI40) and 50 keV (VMI50), and two conventional images were reconstructed using filtered back projection (FBP) and iterative model reconstruction (IMR) protocols. The mean attenuation of the peritoneal implant, signal-to-noise ratio (SNR), contrast-to-noise ratio relative to ascites (CNRA) and adjacent reference tissues (e.g., bowel wall, hepatic, or splenic parenchyma [CNRB]) were calculated and compared using paired t tests. Qualitative image analysis regarding overall image quality, image noise, image blurring, lesion conspicuity, was performed by two radiologists. A subgroup analysis according to the peritoneal implant region was also conducted.VMI40 yielded significantly higher mean attenuation (183.35) of SNR and CNR values (SNR 11.69, CNRA 7.39, CNRB 2.68), compared to VMI50, IR, and FBP images (P |
| doi_str_mv | 10.1097/MD.0000000000020444 |
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Virtual monoenergetic images at 40 (VMI40) and 50 keV (VMI50), and two conventional images were reconstructed using filtered back projection (FBP) and iterative model reconstruction (IMR) protocols. The mean attenuation of the peritoneal implant, signal-to-noise ratio (SNR), contrast-to-noise ratio relative to ascites (CNRA) and adjacent reference tissues (e.g., bowel wall, hepatic, or splenic parenchyma [CNRB]) were calculated and compared using paired t tests. Qualitative image analysis regarding overall image quality, image noise, image blurring, lesion conspicuity, was performed by two radiologists. A subgroup analysis according to the peritoneal implant region was also conducted.VMI40 yielded significantly higher mean attenuation (183.35) of SNR and CNR values (SNR 11.69, CNRA 7.39, CNRB 2.68), compared to VMI50, IR, and FBP images (P < .001). The mean attenuation (129.65), SNR and CNR values (SNR 9.37, CNRA 5.72, CNRB 2.02) of VMI50 were also significantly higher than those of IR and FBP images (P < .001). In the subgroup analysis, all values were significantly higher on VMI40 regardless of the peritoneal implant region (P < .05). In both readers, overall image quality and image blurring showed highest score in VMI50, while image noise and lesion conspicuity showed best score in IMR and VMI40 respectively. Inter-reader agreements are moderate to almost perfect in every parameter.The low-keV VMIs improved both quantitative assessment and lesion conspicuity of peritoneal implants from ovarian cancer compared to conventional images.</description><identifier>ISSN: 0025-7974</identifier><identifier>ISSN: 1536-5964</identifier><identifier>EISSN: 1536-5964</identifier><identifier>DOI: 10.1097/MD.0000000000020444</identifier><identifier>PMID: 32501991</identifier><language>eng</language><publisher>United States: the Author(s). Published by Wolters Kluwer Health, Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Analysis of Variance ; Female ; Humans ; Middle Aged ; Observational Study ; Ovarian Neoplasms - diagnosis ; Ovarian Neoplasms - diagnostic imaging ; Ovarian Neoplasms - epidemiology ; Peritoneum - drug effects ; Qualitative Research ; Radiography, Dual-Energy Scanned Projection - methods ; Republic of Korea - epidemiology ; Retrospective Studies ; Tomography, X-Ray Computed - methods</subject><ispartof>Medicine (Baltimore), 2020-06, Vol.99 (23), p.e20444-e20444</ispartof><rights>the Author(s). Published by Wolters Kluwer Health, Inc.</rights><rights>Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4509-a94925e6592c8363faa37a7e5c796c233c5bea2fb53b8226b10bafaf435dcb123</citedby><cites>FETCH-LOGICAL-c4509-a94925e6592c8363faa37a7e5c796c233c5bea2fb53b8226b10bafaf435dcb123</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306341/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306341/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32501991$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Taek Min</creatorcontrib><creatorcontrib>Kim, Sang Youn</creatorcontrib><creatorcontrib>Cho, Jeong Yeon</creatorcontrib><creatorcontrib>Kim, Seung Hyup</creatorcontrib><creatorcontrib>Moon, Min Hoan</creatorcontrib><title>Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer</title><title>Medicine (Baltimore)</title><addtitle>Medicine (Baltimore)</addtitle><description>This study aimed to compare the quality of virtual low-keV monoenergetic images vs conventional images reconstructed from dual-layer spectral detector computed tomography (SDCT) for the detection of peritoneal implants of ovarian cancer.Fifty ovarian cancer patients who underwent abdominopelvic SDCT scans were included in this retrospective study. Virtual monoenergetic images at 40 (VMI40) and 50 keV (VMI50), and two conventional images were reconstructed using filtered back projection (FBP) and iterative model reconstruction (IMR) protocols. The mean attenuation of the peritoneal implant, signal-to-noise ratio (SNR), contrast-to-noise ratio relative to ascites (CNRA) and adjacent reference tissues (e.g., bowel wall, hepatic, or splenic parenchyma [CNRB]) were calculated and compared using paired t tests. Qualitative image analysis regarding overall image quality, image noise, image blurring, lesion conspicuity, was performed by two radiologists. A subgroup analysis according to the peritoneal implant region was also conducted.VMI40 yielded significantly higher mean attenuation (183.35) of SNR and CNR values (SNR 11.69, CNRA 7.39, CNRB 2.68), compared to VMI50, IR, and FBP images (P < .001). The mean attenuation (129.65), SNR and CNR values (SNR 9.37, CNRA 5.72, CNRB 2.02) of VMI50 were also significantly higher than those of IR and FBP images (P < .001). In the subgroup analysis, all values were significantly higher on VMI40 regardless of the peritoneal implant region (P < .05). In both readers, overall image quality and image blurring showed highest score in VMI50, while image noise and lesion conspicuity showed best score in IMR and VMI40 respectively. Inter-reader agreements are moderate to almost perfect in every parameter.The low-keV VMIs improved both quantitative assessment and lesion conspicuity of peritoneal implants from ovarian cancer compared to conventional images.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis of Variance</subject><subject>Female</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Observational Study</subject><subject>Ovarian Neoplasms - diagnosis</subject><subject>Ovarian Neoplasms - diagnostic imaging</subject><subject>Ovarian Neoplasms - epidemiology</subject><subject>Peritoneum - drug effects</subject><subject>Qualitative Research</subject><subject>Radiography, Dual-Energy Scanned Projection - methods</subject><subject>Republic of Korea - epidemiology</subject><subject>Retrospective Studies</subject><subject>Tomography, X-Ray Computed - methods</subject><issn>0025-7974</issn><issn>1536-5964</issn><issn>1536-5964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkctu1DAUhi0EokPhCZCQl2xSfE3qDRJquUmt2FC2luOcZEwTO9jOjIa34g1xmFIu3tg6_v_v3BB6TskZJap5dX15Rv4cRoQQD9CGSl5XUtXiIdqUqKwa1YgT9CSlr4RQ3jDxGJ1wJglVim7Qj5vsRvfdZBc8Dj3euZgXM-Ix7Ktb-IKn4AN4iANkZ7GbzAAJD2vEZOjwkpwfcFcc1WgOEHGaweZYAB3k8goR2zDNy6rNYQpDNPP2gPsSz1vAJiVIaQKf19wzRJeDh-JOAN1K7mOYcNiZ6IzH1ngL8Sl61JsxwbO7-xTdvHv7-eJDdfXp_ceLN1eVFZKoyiihmIRaKmbPec17Y3hjGpC2UbVlnFvZgmF9K3l7zljdUtKa3vSCy862lPFT9PrInZd2gs6WIktfeo5lCPGgg3H63x_vtnoIO91wUnNBC-DlHSCGbwukrCeXLIyj8RCWpJmgpBQmZV2k_Ci1MaQUob9PQ4lel62vL_X_yy6uF39XeO_5vd0iEEfBPowZYrodlz1EvS0TzttfPNkoVrHCIzWRpFrRiv8Ezru7MQ</recordid><startdate>20200605</startdate><enddate>20200605</enddate><creator>Kim, Taek Min</creator><creator>Kim, Sang Youn</creator><creator>Cho, Jeong Yeon</creator><creator>Kim, Seung Hyup</creator><creator>Moon, Min Hoan</creator><general>the Author(s). Published by Wolters Kluwer Health, Inc</general><general>Wolters Kluwer Health</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><scope>5PM</scope></search><sort><creationdate>20200605</creationdate><title>Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer</title><author>Kim, Taek Min ; Kim, Sang Youn ; Cho, Jeong Yeon ; Kim, Seung Hyup ; Moon, Min Hoan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4509-a94925e6592c8363faa37a7e5c796c233c5bea2fb53b8226b10bafaf435dcb123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis of Variance</topic><topic>Female</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>Observational Study</topic><topic>Ovarian Neoplasms - diagnosis</topic><topic>Ovarian Neoplasms - diagnostic imaging</topic><topic>Ovarian Neoplasms - epidemiology</topic><topic>Peritoneum - drug effects</topic><topic>Qualitative Research</topic><topic>Radiography, Dual-Energy Scanned Projection - methods</topic><topic>Republic of Korea - epidemiology</topic><topic>Retrospective Studies</topic><topic>Tomography, X-Ray Computed - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Taek Min</creatorcontrib><creatorcontrib>Kim, Sang Youn</creatorcontrib><creatorcontrib>Cho, Jeong Yeon</creatorcontrib><creatorcontrib>Kim, Seung Hyup</creatorcontrib><creatorcontrib>Moon, Min Hoan</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medicine (Baltimore)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Taek Min</au><au>Kim, Sang Youn</au><au>Cho, Jeong Yeon</au><au>Kim, Seung Hyup</au><au>Moon, Min Hoan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer</atitle><jtitle>Medicine (Baltimore)</jtitle><addtitle>Medicine (Baltimore)</addtitle><date>2020-06-05</date><risdate>2020</risdate><volume>99</volume><issue>23</issue><spage>e20444</spage><epage>e20444</epage><pages>e20444-e20444</pages><issn>0025-7974</issn><issn>1536-5964</issn><eissn>1536-5964</eissn><abstract>This study aimed to compare the quality of virtual low-keV monoenergetic images vs conventional images reconstructed from dual-layer spectral detector computed tomography (SDCT) for the detection of peritoneal implants of ovarian cancer.Fifty ovarian cancer patients who underwent abdominopelvic SDCT scans were included in this retrospective study. Virtual monoenergetic images at 40 (VMI40) and 50 keV (VMI50), and two conventional images were reconstructed using filtered back projection (FBP) and iterative model reconstruction (IMR) protocols. The mean attenuation of the peritoneal implant, signal-to-noise ratio (SNR), contrast-to-noise ratio relative to ascites (CNRA) and adjacent reference tissues (e.g., bowel wall, hepatic, or splenic parenchyma [CNRB]) were calculated and compared using paired t tests. Qualitative image analysis regarding overall image quality, image noise, image blurring, lesion conspicuity, was performed by two radiologists. A subgroup analysis according to the peritoneal implant region was also conducted.VMI40 yielded significantly higher mean attenuation (183.35) of SNR and CNR values (SNR 11.69, CNRA 7.39, CNRB 2.68), compared to VMI50, IR, and FBP images (P < .001). The mean attenuation (129.65), SNR and CNR values (SNR 9.37, CNRA 5.72, CNRB 2.02) of VMI50 were also significantly higher than those of IR and FBP images (P < .001). In the subgroup analysis, all values were significantly higher on VMI40 regardless of the peritoneal implant region (P < .05). In both readers, overall image quality and image blurring showed highest score in VMI50, while image noise and lesion conspicuity showed best score in IMR and VMI40 respectively. Inter-reader agreements are moderate to almost perfect in every parameter.The low-keV VMIs improved both quantitative assessment and lesion conspicuity of peritoneal implants from ovarian cancer compared to conventional images.</abstract><cop>United States</cop><pub>the Author(s). Published by Wolters Kluwer Health, Inc</pub><pmid>32501991</pmid><doi>10.1097/MD.0000000000020444</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aged Aged, 80 and over Analysis of Variance Female Humans Middle Aged Observational Study Ovarian Neoplasms - diagnosis Ovarian Neoplasms - diagnostic imaging Ovarian Neoplasms - epidemiology Peritoneum - drug effects Qualitative Research Radiography, Dual-Energy Scanned Projection - methods Republic of Korea - epidemiology Retrospective Studies Tomography, X-Ray Computed - methods |
| title | Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer |
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