Loading…
Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease
The diagnostic performance of supersonic shear imaging (SSI) in comparison with those of transient elastography (TE) and acoustic radiation force impulse imaging (ARFI) for staging fibrosis in nonalcoholic fatty liver disease (NAFLD) patients has not been fully assessed, especially in Asian populati...
Saved in:
Published in: | PloS one 2017-11, Vol.12 (11), p.e0188321 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3 |
---|---|
cites | cdi_FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3 |
container_end_page | |
container_issue | 11 |
container_start_page | e0188321 |
container_title | PloS one |
container_volume | 12 |
creator | Lee, Myoung Seok Bae, Jeong Mo Joo, Sae Kyung Woo, Hyunsik Lee, Dong Hyeon Jung, Yong Jin Kim, Byeong Gwan Lee, Kook Lae Kim, Won |
description | The diagnostic performance of supersonic shear imaging (SSI) in comparison with those of transient elastography (TE) and acoustic radiation force impulse imaging (ARFI) for staging fibrosis in nonalcoholic fatty liver disease (NAFLD) patients has not been fully assessed, especially in Asian populations with relatively lean NAFLD compared to white populations. Thus, we focused on comparing the diagnostic performances of TE, ARFI, and SSI for staging fibrosis in a head-to-head manner, and identifying the clinical, anthropometric, biochemical, and histological features which might affect liver stiffness measurement (LSM) in our prospective biopsy-proven NAFLD cohort. In this study, ninety-four patients with biopsy-proven NAFLD were included prospectively. Liver stiffness was measured using TE, SSI, and ARFI within 1 month of liver biopsy. The diagnostic performance for staging fibrosis was assessed using receiver operating characteristic (ROC) analysis. Anthropometric data were evaluated as covariates influencing LSM by regression analyses. Liver stiffness correlated with fibrosis stage (p < 0.05); the area under the ROC curve of TE (kPa), SSI (kPa), and ARFI (m/s) were as follows: 0.757, 0.759, and 0.657 for significant fibrosis and 0.870, 0.809, and 0.873 for advanced fibrosis. Anthropometric traits were significant confounders affecting SSI, while serum liver injury markers significantly confounded TE and ARFI. In conclusion, the LSM methods had similar diagnostic performance for staging fibrosis in patients with NAFLD. Pre-LSM anthropometric evaluation may help predict the reliability of SSI. |
doi_str_mv | 10.1371/journal.pone.0188321 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1969215618</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A515924075</galeid><doaj_id>oai_doaj_org_article_48904a981b2440aabb63b32385cccaff</doaj_id><sourcerecordid>A515924075</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3</originalsourceid><addsrcrecordid>eNqNk22L1DAQx4so3nn6DUQDgiDcrkkfkzfCcni6cHByPrwN0zTp5miTXpIe7mfxy5p1u8cWFKQv2k5-85_Jn5kkeUnwkmQVeX9rR2egWw7WyCUmlGYpeZScEpalizLF2eOj75Pkmfe3GBcZLcunyUnKSFXSPD9Nfn1x1g9SBH0vkbD9AE57axD01rQoODBeSxOQ7MAH2zoYNttz5MdBuohpgfxGgkO6h1ab9hyBadDq5nJ9iCBlHRqcbHQssfvVdSyoPdIGGRv7F3Zju6ijIIQt6mIbDjXaS_DyefJEQefli-l9lny__Pjt4vPi6vrT-mJ1tRAlS8OipnkBKWW5UKxsKoKVggYaioFRBphJXNdUNjWuiVR1LjKglSANbfISlGAyO0te73WHzno--eo5YVGeFCWhkVjvicbCLR9cvJzbcgua_wlY13JwQYtO8pwynMfKpE7zHAPUdZnVWZrRQggBSkWtD1O1se5lI6K7DrqZ6PzE6A1v7T0vKpwVmEWBN5OAs3ej9OEfLU9UC7ErbZSNYqLXXvBVQQqW5rgqIrX8CxWfRvZaxMlSOsZnCe9mCZEJ8mdoYfSer7_e_D97_WPOvj1i40x1YeNtNwZtjZ-D-R4UcY68k-rBOYL5bjEObvDdYvBpMWLaq2PXH5IOm5D9BpCqDeE</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1969215618</pqid></control><display><type>article</type><title>Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease</title><source>Open Access: PubMed Central</source><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Lee, Myoung Seok ; Bae, Jeong Mo ; Joo, Sae Kyung ; Woo, Hyunsik ; Lee, Dong Hyeon ; Jung, Yong Jin ; Kim, Byeong Gwan ; Lee, Kook Lae ; Kim, Won</creator><contributor>Strnad, Pavel</contributor><creatorcontrib>Lee, Myoung Seok ; Bae, Jeong Mo ; Joo, Sae Kyung ; Woo, Hyunsik ; Lee, Dong Hyeon ; Jung, Yong Jin ; Kim, Byeong Gwan ; Lee, Kook Lae ; Kim, Won ; Strnad, Pavel</creatorcontrib><description>The diagnostic performance of supersonic shear imaging (SSI) in comparison with those of transient elastography (TE) and acoustic radiation force impulse imaging (ARFI) for staging fibrosis in nonalcoholic fatty liver disease (NAFLD) patients has not been fully assessed, especially in Asian populations with relatively lean NAFLD compared to white populations. Thus, we focused on comparing the diagnostic performances of TE, ARFI, and SSI for staging fibrosis in a head-to-head manner, and identifying the clinical, anthropometric, biochemical, and histological features which might affect liver stiffness measurement (LSM) in our prospective biopsy-proven NAFLD cohort. In this study, ninety-four patients with biopsy-proven NAFLD were included prospectively. Liver stiffness was measured using TE, SSI, and ARFI within 1 month of liver biopsy. The diagnostic performance for staging fibrosis was assessed using receiver operating characteristic (ROC) analysis. Anthropometric data were evaluated as covariates influencing LSM by regression analyses. Liver stiffness correlated with fibrosis stage (p < 0.05); the area under the ROC curve of TE (kPa), SSI (kPa), and ARFI (m/s) were as follows: 0.757, 0.759, and 0.657 for significant fibrosis and 0.870, 0.809, and 0.873 for advanced fibrosis. Anthropometric traits were significant confounders affecting SSI, while serum liver injury markers significantly confounded TE and ARFI. In conclusion, the LSM methods had similar diagnostic performance for staging fibrosis in patients with NAFLD. Pre-LSM anthropometric evaluation may help predict the reliability of SSI.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0188321</identifier><identifier>PMID: 29176844</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Alcohol use ; Anthropometry ; Area Under Curve ; Biology and Life Sciences ; Biomechanical Phenomena ; Biopsy ; Body measurements ; Complications and side effects ; Correlation analysis ; Data processing ; Diagnosis ; Diagnostic imaging ; Diagnostic systems ; Elasticity Imaging Techniques - methods ; Fatty liver ; Female ; Fibrosis ; Hepatitis ; Hepatology ; Humans ; Imaging ; Internal medicine ; Liver ; Liver - pathology ; Liver - physiopathology ; Liver cirrhosis ; Liver Cirrhosis - complications ; Liver Cirrhosis - diagnosis ; Liver Cirrhosis - pathology ; Liver Cirrhosis - physiopathology ; Liver diseases ; Male ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Non-alcoholic Fatty Liver Disease - complications ; Non-alcoholic Fatty Liver Disease - diagnosis ; Non-alcoholic Fatty Liver Disease - pathology ; Non-alcoholic Fatty Liver Disease - physiopathology ; Patients ; Physical Sciences ; Populations ; Prospective Studies ; Radiation ; Regression analysis ; Reliability analysis ; ROC Curve ; Sound waves ; Stiffness ; Ultrasonic imaging</subject><ispartof>PloS one, 2017-11, Vol.12 (11), p.e0188321</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2017 Lee et al 2017 Lee et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3</citedby><cites>FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3</cites><orcidid>0000-0002-2926-1007</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1969215618/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1969215618?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,25736,27907,27908,36995,44573,53774,53776,74877</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29176844$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Strnad, Pavel</contributor><creatorcontrib>Lee, Myoung Seok</creatorcontrib><creatorcontrib>Bae, Jeong Mo</creatorcontrib><creatorcontrib>Joo, Sae Kyung</creatorcontrib><creatorcontrib>Woo, Hyunsik</creatorcontrib><creatorcontrib>Lee, Dong Hyeon</creatorcontrib><creatorcontrib>Jung, Yong Jin</creatorcontrib><creatorcontrib>Kim, Byeong Gwan</creatorcontrib><creatorcontrib>Lee, Kook Lae</creatorcontrib><creatorcontrib>Kim, Won</creatorcontrib><title>Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The diagnostic performance of supersonic shear imaging (SSI) in comparison with those of transient elastography (TE) and acoustic radiation force impulse imaging (ARFI) for staging fibrosis in nonalcoholic fatty liver disease (NAFLD) patients has not been fully assessed, especially in Asian populations with relatively lean NAFLD compared to white populations. Thus, we focused on comparing the diagnostic performances of TE, ARFI, and SSI for staging fibrosis in a head-to-head manner, and identifying the clinical, anthropometric, biochemical, and histological features which might affect liver stiffness measurement (LSM) in our prospective biopsy-proven NAFLD cohort. In this study, ninety-four patients with biopsy-proven NAFLD were included prospectively. Liver stiffness was measured using TE, SSI, and ARFI within 1 month of liver biopsy. The diagnostic performance for staging fibrosis was assessed using receiver operating characteristic (ROC) analysis. Anthropometric data were evaluated as covariates influencing LSM by regression analyses. Liver stiffness correlated with fibrosis stage (p < 0.05); the area under the ROC curve of TE (kPa), SSI (kPa), and ARFI (m/s) were as follows: 0.757, 0.759, and 0.657 for significant fibrosis and 0.870, 0.809, and 0.873 for advanced fibrosis. Anthropometric traits were significant confounders affecting SSI, while serum liver injury markers significantly confounded TE and ARFI. In conclusion, the LSM methods had similar diagnostic performance for staging fibrosis in patients with NAFLD. Pre-LSM anthropometric evaluation may help predict the reliability of SSI.</description><subject>Adult</subject><subject>Alcohol use</subject><subject>Anthropometry</subject><subject>Area Under Curve</subject><subject>Biology and Life Sciences</subject><subject>Biomechanical Phenomena</subject><subject>Biopsy</subject><subject>Body measurements</subject><subject>Complications and side effects</subject><subject>Correlation analysis</subject><subject>Data processing</subject><subject>Diagnosis</subject><subject>Diagnostic imaging</subject><subject>Diagnostic systems</subject><subject>Elasticity Imaging Techniques - methods</subject><subject>Fatty liver</subject><subject>Female</subject><subject>Fibrosis</subject><subject>Hepatitis</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal medicine</subject><subject>Liver</subject><subject>Liver - pathology</subject><subject>Liver - physiopathology</subject><subject>Liver cirrhosis</subject><subject>Liver Cirrhosis - complications</subject><subject>Liver Cirrhosis - diagnosis</subject><subject>Liver Cirrhosis - pathology</subject><subject>Liver Cirrhosis - physiopathology</subject><subject>Liver diseases</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Non-alcoholic Fatty Liver Disease - complications</subject><subject>Non-alcoholic Fatty Liver Disease - diagnosis</subject><subject>Non-alcoholic Fatty Liver Disease - pathology</subject><subject>Non-alcoholic Fatty Liver Disease - physiopathology</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Populations</subject><subject>Prospective Studies</subject><subject>Radiation</subject><subject>Regression analysis</subject><subject>Reliability analysis</subject><subject>ROC Curve</subject><subject>Sound waves</subject><subject>Stiffness</subject><subject>Ultrasonic imaging</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk22L1DAQx4so3nn6DUQDgiDcrkkfkzfCcni6cHByPrwN0zTp5miTXpIe7mfxy5p1u8cWFKQv2k5-85_Jn5kkeUnwkmQVeX9rR2egWw7WyCUmlGYpeZScEpalizLF2eOj75Pkmfe3GBcZLcunyUnKSFXSPD9Nfn1x1g9SBH0vkbD9AE57axD01rQoODBeSxOQ7MAH2zoYNttz5MdBuohpgfxGgkO6h1ab9hyBadDq5nJ9iCBlHRqcbHQssfvVdSyoPdIGGRv7F3Zju6ijIIQt6mIbDjXaS_DyefJEQefli-l9lny__Pjt4vPi6vrT-mJ1tRAlS8OipnkBKWW5UKxsKoKVggYaioFRBphJXNdUNjWuiVR1LjKglSANbfISlGAyO0te73WHzno--eo5YVGeFCWhkVjvicbCLR9cvJzbcgua_wlY13JwQYtO8pwynMfKpE7zHAPUdZnVWZrRQggBSkWtD1O1se5lI6K7DrqZ6PzE6A1v7T0vKpwVmEWBN5OAs3ej9OEfLU9UC7ErbZSNYqLXXvBVQQqW5rgqIrX8CxWfRvZaxMlSOsZnCe9mCZEJ8mdoYfSer7_e_D97_WPOvj1i40x1YeNtNwZtjZ-D-R4UcY68k-rBOYL5bjEObvDdYvBpMWLaq2PXH5IOm5D9BpCqDeE</recordid><startdate>20171127</startdate><enddate>20171127</enddate><creator>Lee, Myoung Seok</creator><creator>Bae, Jeong Mo</creator><creator>Joo, Sae Kyung</creator><creator>Woo, Hyunsik</creator><creator>Lee, Dong Hyeon</creator><creator>Jung, Yong Jin</creator><creator>Kim, Byeong Gwan</creator><creator>Lee, Kook Lae</creator><creator>Kim, Won</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2926-1007</orcidid></search><sort><creationdate>20171127</creationdate><title>Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease</title><author>Lee, Myoung Seok ; Bae, Jeong Mo ; Joo, Sae Kyung ; Woo, Hyunsik ; Lee, Dong Hyeon ; Jung, Yong Jin ; Kim, Byeong Gwan ; Lee, Kook Lae ; Kim, Won</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Alcohol use</topic><topic>Anthropometry</topic><topic>Area Under Curve</topic><topic>Biology and Life Sciences</topic><topic>Biomechanical Phenomena</topic><topic>Biopsy</topic><topic>Body measurements</topic><topic>Complications and side effects</topic><topic>Correlation analysis</topic><topic>Data processing</topic><topic>Diagnosis</topic><topic>Diagnostic imaging</topic><topic>Diagnostic systems</topic><topic>Elasticity Imaging Techniques - methods</topic><topic>Fatty liver</topic><topic>Female</topic><topic>Fibrosis</topic><topic>Hepatitis</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal medicine</topic><topic>Liver</topic><topic>Liver - pathology</topic><topic>Liver - physiopathology</topic><topic>Liver cirrhosis</topic><topic>Liver Cirrhosis - complications</topic><topic>Liver Cirrhosis - diagnosis</topic><topic>Liver Cirrhosis - pathology</topic><topic>Liver Cirrhosis - physiopathology</topic><topic>Liver diseases</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Non-alcoholic Fatty Liver Disease - complications</topic><topic>Non-alcoholic Fatty Liver Disease - diagnosis</topic><topic>Non-alcoholic Fatty Liver Disease - pathology</topic><topic>Non-alcoholic Fatty Liver Disease - physiopathology</topic><topic>Patients</topic><topic>Physical Sciences</topic><topic>Populations</topic><topic>Prospective Studies</topic><topic>Radiation</topic><topic>Regression analysis</topic><topic>Reliability analysis</topic><topic>ROC Curve</topic><topic>Sound waves</topic><topic>Stiffness</topic><topic>Ultrasonic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Myoung Seok</creatorcontrib><creatorcontrib>Bae, Jeong Mo</creatorcontrib><creatorcontrib>Joo, Sae Kyung</creatorcontrib><creatorcontrib>Woo, Hyunsik</creatorcontrib><creatorcontrib>Lee, Dong Hyeon</creatorcontrib><creatorcontrib>Jung, Yong Jin</creatorcontrib><creatorcontrib>Kim, Byeong Gwan</creatorcontrib><creatorcontrib>Lee, Kook Lae</creatorcontrib><creatorcontrib>Kim, Won</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>https://resources.nclive.org/materials</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Open Access: DOAJ - Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Myoung Seok</au><au>Bae, Jeong Mo</au><au>Joo, Sae Kyung</au><au>Woo, Hyunsik</au><au>Lee, Dong Hyeon</au><au>Jung, Yong Jin</au><au>Kim, Byeong Gwan</au><au>Lee, Kook Lae</au><au>Kim, Won</au><au>Strnad, Pavel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-11-27</date><risdate>2017</risdate><volume>12</volume><issue>11</issue><spage>e0188321</spage><pages>e0188321-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The diagnostic performance of supersonic shear imaging (SSI) in comparison with those of transient elastography (TE) and acoustic radiation force impulse imaging (ARFI) for staging fibrosis in nonalcoholic fatty liver disease (NAFLD) patients has not been fully assessed, especially in Asian populations with relatively lean NAFLD compared to white populations. Thus, we focused on comparing the diagnostic performances of TE, ARFI, and SSI for staging fibrosis in a head-to-head manner, and identifying the clinical, anthropometric, biochemical, and histological features which might affect liver stiffness measurement (LSM) in our prospective biopsy-proven NAFLD cohort. In this study, ninety-four patients with biopsy-proven NAFLD were included prospectively. Liver stiffness was measured using TE, SSI, and ARFI within 1 month of liver biopsy. The diagnostic performance for staging fibrosis was assessed using receiver operating characteristic (ROC) analysis. Anthropometric data were evaluated as covariates influencing LSM by regression analyses. Liver stiffness correlated with fibrosis stage (p < 0.05); the area under the ROC curve of TE (kPa), SSI (kPa), and ARFI (m/s) were as follows: 0.757, 0.759, and 0.657 for significant fibrosis and 0.870, 0.809, and 0.873 for advanced fibrosis. Anthropometric traits were significant confounders affecting SSI, while serum liver injury markers significantly confounded TE and ARFI. In conclusion, the LSM methods had similar diagnostic performance for staging fibrosis in patients with NAFLD. Pre-LSM anthropometric evaluation may help predict the reliability of SSI.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29176844</pmid><doi>10.1371/journal.pone.0188321</doi><tpages>e0188321</tpages><orcidid>https://orcid.org/0000-0002-2926-1007</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-11, Vol.12 (11), p.e0188321 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1969215618 |
source | Open Access: PubMed Central; Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
subjects | Adult Alcohol use Anthropometry Area Under Curve Biology and Life Sciences Biomechanical Phenomena Biopsy Body measurements Complications and side effects Correlation analysis Data processing Diagnosis Diagnostic imaging Diagnostic systems Elasticity Imaging Techniques - methods Fatty liver Female Fibrosis Hepatitis Hepatology Humans Imaging Internal medicine Liver Liver - pathology Liver - physiopathology Liver cirrhosis Liver Cirrhosis - complications Liver Cirrhosis - diagnosis Liver Cirrhosis - pathology Liver Cirrhosis - physiopathology Liver diseases Male Medicine Medicine and Health Sciences Middle Aged Non-alcoholic Fatty Liver Disease - complications Non-alcoholic Fatty Liver Disease - diagnosis Non-alcoholic Fatty Liver Disease - pathology Non-alcoholic Fatty Liver Disease - physiopathology Patients Physical Sciences Populations Prospective Studies Radiation Regression analysis Reliability analysis ROC Curve Sound waves Stiffness Ultrasonic imaging |
title | Prospective comparison among transient elastography, supersonic shear imaging, and ARFI imaging for predicting fibrosis in nonalcoholic fatty liver disease |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T01%3A14%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prospective%20comparison%20among%20transient%20elastography,%20supersonic%20shear%20imaging,%20and%20ARFI%20imaging%20for%20predicting%20fibrosis%20in%20nonalcoholic%20fatty%20liver%20disease&rft.jtitle=PloS%20one&rft.au=Lee,%20Myoung%20Seok&rft.date=2017-11-27&rft.volume=12&rft.issue=11&rft.spage=e0188321&rft.pages=e0188321-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0188321&rft_dat=%3Cgale_plos_%3EA515924075%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-b845a2894cf96d710ffadad80a989a09e0bb8edb0b1efb4c3a87c1d8d46afc9e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1969215618&rft_id=info:pmid/29176844&rft_galeid=A515924075&rfr_iscdi=true |