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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 SDC...

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Autores principales: Kim, Taek Min, Kim, Sang Youn, Cho, Jeong Yeon, Kim, Seung Hyup, Moon, Min Hoan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306341/
https://www.ncbi.nlm.nih.gov/pubmed/32501991
http://dx.doi.org/10.1097/MD.0000000000020444
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author Kim, Taek Min
Kim, Sang Youn
Cho, Jeong Yeon
Kim, Seung Hyup
Moon, Min Hoan
author_facet Kim, Taek Min
Kim, Sang Youn
Cho, Jeong Yeon
Kim, Seung Hyup
Moon, Min Hoan
author_sort Kim, Taek Min
collection PubMed
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 (VMI(40)) and 50 keV (VMI(50)), 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 (CNR(A)) and adjacent reference tissues (e.g., bowel wall, hepatic, or splenic parenchyma [CNR(B)]) 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. VMI(40) yielded significantly higher mean attenuation (183.35) of SNR and CNR values (SNR 11.69, CNR(A) 7.39, CNR(B) 2.68), compared to VMI(50), IR, and FBP images (P < .001). The mean attenuation (129.65), SNR and CNR values (SNR 9.37, CNR(A) 5.72, CNR(B) 2.02) of VMI(50) were also significantly higher than those of IR and FBP images (P < .001). In the subgroup analysis, all values were significantly higher on VMI(40) regardless of the peritoneal implant region (P < .05). In both readers, overall image quality and image blurring showed highest score in VMI(50), while image noise and lesion conspicuity showed best score in IMR and VMI(40) 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.
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spelling pubmed-73063412020-07-08 Utilization of virtual low-keV monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer Kim, Taek Min Kim, Sang Youn Cho, Jeong Yeon Kim, Seung Hyup Moon, Min Hoan Medicine (Baltimore) 6800 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 (VMI(40)) and 50 keV (VMI(50)), 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 (CNR(A)) and adjacent reference tissues (e.g., bowel wall, hepatic, or splenic parenchyma [CNR(B)]) 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. VMI(40) yielded significantly higher mean attenuation (183.35) of SNR and CNR values (SNR 11.69, CNR(A) 7.39, CNR(B) 2.68), compared to VMI(50), IR, and FBP images (P < .001). The mean attenuation (129.65), SNR and CNR values (SNR 9.37, CNR(A) 5.72, CNR(B) 2.02) of VMI(50) were also significantly higher than those of IR and FBP images (P < .001). In the subgroup analysis, all values were significantly higher on VMI(40) regardless of the peritoneal implant region (P < .05). In both readers, overall image quality and image blurring showed highest score in VMI(50), while image noise and lesion conspicuity showed best score in IMR and VMI(40) 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. Wolters Kluwer Health 2020-06-05 /pmc/articles/PMC7306341/ /pubmed/32501991 http://dx.doi.org/10.1097/MD.0000000000020444 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 6800
Kim, Taek Min
Kim, Sang Youn
Cho, Jeong Yeon
Kim, Seung Hyup
Moon, Min Hoan
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 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_full 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_fullStr 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_full_unstemmed 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_short 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_sort utilization of virtual low-kev monoenergetic images generated using dual-layer spectral detector computed tomography for the assessment of peritoneal seeding from ovarian cancer
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306341/
https://www.ncbi.nlm.nih.gov/pubmed/32501991
http://dx.doi.org/10.1097/MD.0000000000020444
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