iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study

Background Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate...

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Veröffentlicht in:Journal of gastroenterology 2024-06, Vol.59 (6), p.504-514
Hauptverfasser: Hirooka, Masashi, Ogawa, Sadanobu, Koizumi, Yohei, Yoshida, Yuichi, Goto, Tatsuya, Yasuda, Satoshi, Yamahira, Masahiro, Tamai, Tsutomu, Kuromatsu, Ryoko, Matsuzaki, Toshihisa, Suehiro, Tomoyuki, Kamada, Yoshihiro, Sumida, Yoshio, Hiasa, Yoichi, Toyoda, Hidenori, Kumada, Takashi
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container_issue 6
container_start_page 504
container_title Journal of gastroenterology
container_volume 59
creator Hirooka, Masashi
Ogawa, Sadanobu
Koizumi, Yohei
Yoshida, Yuichi
Goto, Tatsuya
Yasuda, Satoshi
Yamahira, Masahiro
Tamai, Tsutomu
Kuromatsu, Ryoko
Matsuzaki, Toshihisa
Suehiro, Tomoyuki
Kamada, Yoshihiro
Sumida, Yoshio
Hiasa, Yoichi
Toyoda, Hidenori
Kumada, Takashi
description Background Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades. Methods A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF 
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Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades. Methods A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF &lt; 5.2%, grade 1 with 5.2% MRI-PDFF &lt; 11.3%, grade 2 with 11.3% MRI-PDFF &lt; 17.1%, and grade 3 with MRI-PDFF of 17.1%. The reproducibility of iATT and MRI-PDFF was evaluated using the Bland–Altman analysis and intraclass correlation coefficients, whereas the diagnostic performance of each steatosis grade was examined using receiver operating characteristic analysis. Results The Bland–Altman analysis indicated excellent reproducibility with minimal fixed bias between iATT and MRI-PDFF. The area under the curve for distinguishing steatosis grades 1, 2, and 3 were 0.887, 0.882, and 0.867, respectively. A skin-to-capsula distance of ≥ 25 mm was identified as the only significant factor causing the discrepancy. No interaction between MRI-logPDFF and MRE-LSM on iATT values was observed. Conclusions Compared to MRI-PDFF, iATT showed excellent diagnostic accuracy in grading steatosis. iATT could be used as a diagnostic tool instead of MRI in clinical practice and trials. Trial registration This study was registered in the UMIN Clinical Trials Registry (UMIN000047411).</description><identifier>ISSN: 0944-1174</identifier><identifier>EISSN: 1435-5922</identifier><identifier>DOI: 10.1007/s00535-024-02096-w</identifier><identifier>PMID: 38553657</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Abdominal Surgery ; Adipose Tissue - diagnostic imaging ; Adipose Tissue - pathology ; Adult ; Aged ; Biliary Tract ; Clinical trials ; Colorectal Surgery ; Fatty liver ; Fatty Liver - diagnostic imaging ; Fatty Liver - pathology ; Female ; Gastroenterology ; Hepatology ; Humans ; Liver - diagnostic imaging ; Liver - pathology ; Liver diseases ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Non-alcoholic Fatty Liver Disease - diagnostic imaging ; Non-alcoholic Fatty Liver Disease - pathology ; Original Article―Liver ; Original ―Liver, Pancreas, and Biliary Tract ; Pancreas ; Prospective Studies ; Reproducibility ; Reproducibility of Results ; ROC Curve ; Severity of Illness Index ; Steatosis ; Surgical Oncology ; Ultrasonic imaging ; Ultrasonography - methods ; Ultrasound ; UMIN ; UMIN000047411</subject><ispartof>Journal of gastroenterology, 2024-06, Vol.59 (6), p.504-514</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c426t-3ea019e1d9dc3fc48ace646bcf9b3b2acc795341030a95b57333b65624e3a5d33</cites><orcidid>0000-0001-5634-5313</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/s00535-024-02096-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00535-024-02096-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38553657$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hirooka, Masashi</creatorcontrib><creatorcontrib>Ogawa, Sadanobu</creatorcontrib><creatorcontrib>Koizumi, Yohei</creatorcontrib><creatorcontrib>Yoshida, Yuichi</creatorcontrib><creatorcontrib>Goto, Tatsuya</creatorcontrib><creatorcontrib>Yasuda, Satoshi</creatorcontrib><creatorcontrib>Yamahira, Masahiro</creatorcontrib><creatorcontrib>Tamai, Tsutomu</creatorcontrib><creatorcontrib>Kuromatsu, Ryoko</creatorcontrib><creatorcontrib>Matsuzaki, Toshihisa</creatorcontrib><creatorcontrib>Suehiro, Tomoyuki</creatorcontrib><creatorcontrib>Kamada, Yoshihiro</creatorcontrib><creatorcontrib>Sumida, Yoshio</creatorcontrib><creatorcontrib>Hiasa, Yoichi</creatorcontrib><creatorcontrib>Toyoda, Hidenori</creatorcontrib><creatorcontrib>Kumada, Takashi</creatorcontrib><title>iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study</title><title>Journal of gastroenterology</title><addtitle>J Gastroenterol</addtitle><addtitle>J Gastroenterol</addtitle><description>Background Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades. Methods A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF &lt; 5.2%, grade 1 with 5.2% MRI-PDFF &lt; 11.3%, grade 2 with 11.3% MRI-PDFF &lt; 17.1%, and grade 3 with MRI-PDFF of 17.1%. The reproducibility of iATT and MRI-PDFF was evaluated using the Bland–Altman analysis and intraclass correlation coefficients, whereas the diagnostic performance of each steatosis grade was examined using receiver operating characteristic analysis. Results The Bland–Altman analysis indicated excellent reproducibility with minimal fixed bias between iATT and MRI-PDFF. The area under the curve for distinguishing steatosis grades 1, 2, and 3 were 0.887, 0.882, and 0.867, respectively. A skin-to-capsula distance of ≥ 25 mm was identified as the only significant factor causing the discrepancy. No interaction between MRI-logPDFF and MRE-LSM on iATT values was observed. Conclusions Compared to MRI-PDFF, iATT showed excellent diagnostic accuracy in grading steatosis. iATT could be used as a diagnostic tool instead of MRI in clinical practice and trials. Trial registration This study was registered in the UMIN Clinical Trials Registry (UMIN000047411).</description><subject>Abdominal Surgery</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Adipose Tissue - pathology</subject><subject>Adult</subject><subject>Aged</subject><subject>Biliary Tract</subject><subject>Clinical trials</subject><subject>Colorectal Surgery</subject><subject>Fatty liver</subject><subject>Fatty Liver - diagnostic imaging</subject><subject>Fatty Liver - pathology</subject><subject>Female</subject><subject>Gastroenterology</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Liver - diagnostic imaging</subject><subject>Liver - pathology</subject><subject>Liver diseases</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Middle Aged</subject><subject>Non-alcoholic Fatty Liver Disease - diagnostic imaging</subject><subject>Non-alcoholic Fatty Liver Disease - pathology</subject><subject>Original Article―Liver</subject><subject>Original ―Liver, Pancreas, and Biliary Tract</subject><subject>Pancreas</subject><subject>Prospective Studies</subject><subject>Reproducibility</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Severity of Illness Index</subject><subject>Steatosis</subject><subject>Surgical Oncology</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography - methods</subject><subject>Ultrasound</subject><subject>UMIN</subject><subject>UMIN000047411</subject><issn>0944-1174</issn><issn>1435-5922</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kUtv1DAUhS0EosPAH2CBLLFhE_A7CRtUVTwqFSGhYW3dODeDq0w8tZ2W-fc4nVIeCxaWZfvc43vPR8hzzl5zxuo3iTEtdcWEKou1prp5QFZclSvdCvGQrFirVMV5rU7Ik5QuGeOS6eYxOZGN1tLoekV--NPNho7-GiMdINOrGabsB-8g-zDRIUSaMkIOySe6jdD7aUu7A404YIzLIQf6-es53ceQS0GPU_L5cOs1RHCLy1sKdDeP2TucMi6Gc394Sh4NMCZ8drevybcP7zdnn6qLLx_Pz04vKqeEyZVEYLxF3re9k4NTDTg0ynRuaDvZCXCubrVUnEkGre50LaXsjDZCoQTdS7km746--7nbYb-0EGG0--h3EA82gLd_v0z-u92Ga8s5F40qCa_JqzuHGK5mTNnufHI4jjBhmJOVTAhdq5Jnkb78R3oZ5jiV-YrKFEgNN6aoxFHlYkipJHnfDWd2IWuPZG0ha2_J2ptS9OLPOe5LfqEsAnkUpP3CBePvv_9j-xOVb7F0</recordid><startdate>20240601</startdate><enddate>20240601</enddate><creator>Hirooka, Masashi</creator><creator>Ogawa, Sadanobu</creator><creator>Koizumi, Yohei</creator><creator>Yoshida, Yuichi</creator><creator>Goto, Tatsuya</creator><creator>Yasuda, Satoshi</creator><creator>Yamahira, Masahiro</creator><creator>Tamai, Tsutomu</creator><creator>Kuromatsu, Ryoko</creator><creator>Matsuzaki, Toshihisa</creator><creator>Suehiro, Tomoyuki</creator><creator>Kamada, Yoshihiro</creator><creator>Sumida, Yoshio</creator><creator>Hiasa, Yoichi</creator><creator>Toyoda, Hidenori</creator><creator>Kumada, Takashi</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</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>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5634-5313</orcidid></search><sort><creationdate>20240601</creationdate><title>iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study</title><author>Hirooka, Masashi ; Ogawa, Sadanobu ; Koizumi, Yohei ; Yoshida, Yuichi ; Goto, Tatsuya ; Yasuda, Satoshi ; Yamahira, Masahiro ; Tamai, Tsutomu ; Kuromatsu, Ryoko ; Matsuzaki, Toshihisa ; Suehiro, Tomoyuki ; Kamada, Yoshihiro ; Sumida, Yoshio ; Hiasa, Yoichi ; Toyoda, Hidenori ; Kumada, Takashi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-3ea019e1d9dc3fc48ace646bcf9b3b2acc795341030a95b57333b65624e3a5d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abdominal Surgery</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Adipose Tissue - pathology</topic><topic>Adult</topic><topic>Aged</topic><topic>Biliary Tract</topic><topic>Clinical trials</topic><topic>Colorectal Surgery</topic><topic>Fatty liver</topic><topic>Fatty Liver - diagnostic imaging</topic><topic>Fatty Liver - pathology</topic><topic>Female</topic><topic>Gastroenterology</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Liver - diagnostic imaging</topic><topic>Liver - pathology</topic><topic>Liver diseases</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Middle Aged</topic><topic>Non-alcoholic Fatty Liver Disease - diagnostic imaging</topic><topic>Non-alcoholic Fatty Liver Disease - pathology</topic><topic>Original Article―Liver</topic><topic>Original ―Liver, Pancreas, and Biliary Tract</topic><topic>Pancreas</topic><topic>Prospective Studies</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Severity of Illness Index</topic><topic>Steatosis</topic><topic>Surgical Oncology</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography - methods</topic><topic>Ultrasound</topic><topic>UMIN</topic><topic>UMIN000047411</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hirooka, Masashi</creatorcontrib><creatorcontrib>Ogawa, Sadanobu</creatorcontrib><creatorcontrib>Koizumi, Yohei</creatorcontrib><creatorcontrib>Yoshida, Yuichi</creatorcontrib><creatorcontrib>Goto, Tatsuya</creatorcontrib><creatorcontrib>Yasuda, Satoshi</creatorcontrib><creatorcontrib>Yamahira, Masahiro</creatorcontrib><creatorcontrib>Tamai, Tsutomu</creatorcontrib><creatorcontrib>Kuromatsu, Ryoko</creatorcontrib><creatorcontrib>Matsuzaki, Toshihisa</creatorcontrib><creatorcontrib>Suehiro, Tomoyuki</creatorcontrib><creatorcontrib>Kamada, Yoshihiro</creatorcontrib><creatorcontrib>Sumida, Yoshio</creatorcontrib><creatorcontrib>Hiasa, Yoichi</creatorcontrib><creatorcontrib>Toyoda, Hidenori</creatorcontrib><creatorcontrib>Kumada, Takashi</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of gastroenterology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hirooka, Masashi</au><au>Ogawa, Sadanobu</au><au>Koizumi, Yohei</au><au>Yoshida, Yuichi</au><au>Goto, Tatsuya</au><au>Yasuda, Satoshi</au><au>Yamahira, Masahiro</au><au>Tamai, Tsutomu</au><au>Kuromatsu, Ryoko</au><au>Matsuzaki, Toshihisa</au><au>Suehiro, Tomoyuki</au><au>Kamada, Yoshihiro</au><au>Sumida, Yoshio</au><au>Hiasa, Yoichi</au><au>Toyoda, Hidenori</au><au>Kumada, Takashi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study</atitle><jtitle>Journal of gastroenterology</jtitle><stitle>J Gastroenterol</stitle><addtitle>J Gastroenterol</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>59</volume><issue>6</issue><spage>504</spage><epage>514</epage><pages>504-514</pages><issn>0944-1174</issn><eissn>1435-5922</eissn><abstract>Background Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades. Methods A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF &lt; 5.2%, grade 1 with 5.2% MRI-PDFF &lt; 11.3%, grade 2 with 11.3% MRI-PDFF &lt; 17.1%, and grade 3 with MRI-PDFF of 17.1%. The reproducibility of iATT and MRI-PDFF was evaluated using the Bland–Altman analysis and intraclass correlation coefficients, whereas the diagnostic performance of each steatosis grade was examined using receiver operating characteristic analysis. Results The Bland–Altman analysis indicated excellent reproducibility with minimal fixed bias between iATT and MRI-PDFF. The area under the curve for distinguishing steatosis grades 1, 2, and 3 were 0.887, 0.882, and 0.867, respectively. A skin-to-capsula distance of ≥ 25 mm was identified as the only significant factor causing the discrepancy. No interaction between MRI-logPDFF and MRE-LSM on iATT values was observed. Conclusions Compared to MRI-PDFF, iATT showed excellent diagnostic accuracy in grading steatosis. iATT could be used as a diagnostic tool instead of MRI in clinical practice and trials. Trial registration This study was registered in the UMIN Clinical Trials Registry (UMIN000047411).</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><pmid>38553657</pmid><doi>10.1007/s00535-024-02096-w</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-5634-5313</orcidid><oa>free_for_read</oa></addata></record>
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subjects Abdominal Surgery
Adipose Tissue - diagnostic imaging
Adipose Tissue - pathology
Adult
Aged
Biliary Tract
Clinical trials
Colorectal Surgery
Fatty liver
Fatty Liver - diagnostic imaging
Fatty Liver - pathology
Female
Gastroenterology
Hepatology
Humans
Liver - diagnostic imaging
Liver - pathology
Liver diseases
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medicine
Medicine & Public Health
Middle Aged
Non-alcoholic Fatty Liver Disease - diagnostic imaging
Non-alcoholic Fatty Liver Disease - pathology
Original Article―Liver
Original ―Liver, Pancreas, and Biliary Tract
Pancreas
Prospective Studies
Reproducibility
Reproducibility of Results
ROC Curve
Severity of Illness Index
Steatosis
Surgical Oncology
Ultrasonic imaging
Ultrasonography - methods
Ultrasound
UMIN
UMIN000047411
title iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study
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