Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI?
Purpose To evaluate whether the Liver Imaging Reporting and Data System ( LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10–19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI). Methods A to...
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| Veröffentlicht in: | Abdominal imaging 2022-02, Vol.47 (2), p.596-607 |
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| creator | Xie, Sidong Zhang, Yao Chen, Jingbiao Jiang, Ting Liu, Weimin Rong, Dailin Sun, Lin Zhang, Linqi He, Bingjun Wang, Jin |
| description | Purpose
To evaluate whether the Liver Imaging Reporting and Data System
(
LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10–19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI).
Methods
A total of 133 high-risk consecutive patients with 174 small observations (10–19 mm) detected on gadoxetic acid-enhanced MRI were retrospectively studied. LI-RADS MRI major features (MFs) and ancillary features (AFs) were reviewed by two independent radiologists in consensus. Observations were categorized using LI-RADS v2018 MFs. Independently significant AFs were identified through logistic regression analysis. Upgraded LR-5 criteria were developed by combining independently significant AFs with MFs of LR-3 or LR-4 v2018. The sensitivity and specificity of the new diagnostic criteria were compared with those of LR-5 v2018 using McNemar’s test.
Results
Three of the AFs favoring malignancy [mild–moderate T2 hyperintensity, transitional phase (TP) hypointensity and fat in mass] were independently significant features for diagnosing 10–19 mm HCC. The upgraded LR-5 criteria (mLI-RADS VII: LR-4 + mild–moderate T2 hyperintensity/TP hypointensity or LR-3 + fat in mass) yielded a significantly greater sensitivity than that of the LR-5 v2018 criteria (70.4% vs 55.1%;
p
|
| doi_str_mv | 10.1007/s00261-021-03339-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2597496687</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2624603132</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-ccf041029b9740f8d24914e36ef65e73828b7c1cd9bf4802b889f60ed53bb1603</originalsourceid><addsrcrecordid>eNp9kU9rFDEYhwex2NL2C3iQgBcvo2-SmWTmJGX9t7BFqAreQibzZjdlJ1mTmWJv_Q69ePSz-FH8JM126woePIQ3kOd98oNfUTyl8JICyFcJgAlaAsuHc96W8lFxxLgQJUDdPN7fq6-HxWlKlwBARU0pq58Uh7ySkldCHhU_ZtqTIfTOOuzJYl5enL35RJw3EXVCMq6QJPTJje7Kjdck2D1zxYA2xIZ4D_VOL31ILm0RCr9vbmn76-cwkBVu9BgMrtfTWkdidDTOh0GT4MlS9-E7js4QbVxfol9pb3KM84v565PiwOp1wtOHeVx8eff28-xDufj4fj47W5SGy3osjbFQUWBt18oKbNOzqqUVcoFW1Ch5w5pOGmr6trNVA6xrmtYKwL7mXUcF8OPixc67ieHbhGlUg0vbuNpjmJJidRa3QjQyo8__QS_DFH1Op5hgVZZRzjLFdpSJIaWIVm2iG3S8VhTUtjq1q07l6tR9dWqrfvagnroB-_3Kn6IywHdAyk9-ifHv3__R3gGgJaMa</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624603132</pqid></control><display><type>article</type><title>Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI?</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Xie, Sidong ; Zhang, Yao ; Chen, Jingbiao ; Jiang, Ting ; Liu, Weimin ; Rong, Dailin ; Sun, Lin ; Zhang, Linqi ; He, Bingjun ; Wang, Jin</creator><creatorcontrib>Xie, Sidong ; Zhang, Yao ; Chen, Jingbiao ; Jiang, Ting ; Liu, Weimin ; Rong, Dailin ; Sun, Lin ; Zhang, Linqi ; He, Bingjun ; Wang, Jin</creatorcontrib><description>Purpose
To evaluate whether the Liver Imaging Reporting and Data System
(
LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10–19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI).
Methods
A total of 133 high-risk consecutive patients with 174 small observations (10–19 mm) detected on gadoxetic acid-enhanced MRI were retrospectively studied. LI-RADS MRI major features (MFs) and ancillary features (AFs) were reviewed by two independent radiologists in consensus. Observations were categorized using LI-RADS v2018 MFs. Independently significant AFs were identified through logistic regression analysis. Upgraded LR-5 criteria were developed by combining independently significant AFs with MFs of LR-3 or LR-4 v2018. The sensitivity and specificity of the new diagnostic criteria were compared with those of LR-5 v2018 using McNemar’s test.
Results
Three of the AFs favoring malignancy [mild–moderate T2 hyperintensity, transitional phase (TP) hypointensity and fat in mass] were independently significant features for diagnosing 10–19 mm HCC. The upgraded LR-5 criteria (mLI-RADS VII: LR-4 + mild–moderate T2 hyperintensity/TP hypointensity or LR-3 + fat in mass) yielded a significantly greater sensitivity than that of the LR-5 v2018 criteria (70.4% vs 55.1%;
p
< 0.001), whereas the specificity was not significantly different (94.7% vs 98.7%,
p
= 0.250).
Conclusions
Independently significant AFs may be used to upgrade an observation from LR-3/LR-4 to LR-5, which can improve the sensitivity without impairing the specificity for diagnosing 10–19 mm HCC on gadoxetic acid-enhanced MRI.
Graphical abstract</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-021-03339-7</identifier><identifier>PMID: 34773467</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Acids ; Carcinoma, Hepatocellular - diagnostic imaging ; Contrast Media ; Criteria ; Gadolinium DTPA ; Gastroenterology ; Hepatobiliary ; Hepatocellular carcinoma ; Hepatology ; Humans ; Imaging ; Liver cancer ; Liver Neoplasms - diagnostic imaging ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Malignancy ; Medical diagnosis ; Medical imaging ; Medicine ; Medicine & Public Health ; Radiology ; Regression analysis ; Retrospective Studies ; Sensitivity ; Sensitivity and Specificity</subject><ispartof>Abdominal imaging, 2022-02, Vol.47 (2), p.596-607</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-ccf041029b9740f8d24914e36ef65e73828b7c1cd9bf4802b889f60ed53bb1603</citedby><cites>FETCH-LOGICAL-c375t-ccf041029b9740f8d24914e36ef65e73828b7c1cd9bf4802b889f60ed53bb1603</cites><orcidid>0000-0002-7956-9579</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/s00261-021-03339-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-021-03339-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34773467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xie, Sidong</creatorcontrib><creatorcontrib>Zhang, Yao</creatorcontrib><creatorcontrib>Chen, Jingbiao</creatorcontrib><creatorcontrib>Jiang, Ting</creatorcontrib><creatorcontrib>Liu, Weimin</creatorcontrib><creatorcontrib>Rong, Dailin</creatorcontrib><creatorcontrib>Sun, Lin</creatorcontrib><creatorcontrib>Zhang, Linqi</creatorcontrib><creatorcontrib>He, Bingjun</creatorcontrib><creatorcontrib>Wang, Jin</creatorcontrib><title>Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI?</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
To evaluate whether the Liver Imaging Reporting and Data System
(
LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10–19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI).
Methods
A total of 133 high-risk consecutive patients with 174 small observations (10–19 mm) detected on gadoxetic acid-enhanced MRI were retrospectively studied. LI-RADS MRI major features (MFs) and ancillary features (AFs) were reviewed by two independent radiologists in consensus. Observations were categorized using LI-RADS v2018 MFs. Independently significant AFs were identified through logistic regression analysis. Upgraded LR-5 criteria were developed by combining independently significant AFs with MFs of LR-3 or LR-4 v2018. The sensitivity and specificity of the new diagnostic criteria were compared with those of LR-5 v2018 using McNemar’s test.
Results
Three of the AFs favoring malignancy [mild–moderate T2 hyperintensity, transitional phase (TP) hypointensity and fat in mass] were independently significant features for diagnosing 10–19 mm HCC. The upgraded LR-5 criteria (mLI-RADS VII: LR-4 + mild–moderate T2 hyperintensity/TP hypointensity or LR-3 + fat in mass) yielded a significantly greater sensitivity than that of the LR-5 v2018 criteria (70.4% vs 55.1%;
p
< 0.001), whereas the specificity was not significantly different (94.7% vs 98.7%,
p
= 0.250).
Conclusions
Independently significant AFs may be used to upgrade an observation from LR-3/LR-4 to LR-5, which can improve the sensitivity without impairing the specificity for diagnosing 10–19 mm HCC on gadoxetic acid-enhanced MRI.
Graphical abstract</description><subject>Acids</subject><subject>Carcinoma, Hepatocellular - diagnostic imaging</subject><subject>Contrast Media</subject><subject>Criteria</subject><subject>Gadolinium DTPA</subject><subject>Gastroenterology</subject><subject>Hepatobiliary</subject><subject>Hepatocellular carcinoma</subject><subject>Hepatology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Liver cancer</subject><subject>Liver Neoplasms - diagnostic imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Malignancy</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Sensitivity</subject><subject>Sensitivity and Specificity</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU9rFDEYhwex2NL2C3iQgBcvo2-SmWTmJGX9t7BFqAreQibzZjdlJ1mTmWJv_Q69ePSz-FH8JM126woePIQ3kOd98oNfUTyl8JICyFcJgAlaAsuHc96W8lFxxLgQJUDdPN7fq6-HxWlKlwBARU0pq58Uh7ySkldCHhU_ZtqTIfTOOuzJYl5enL35RJw3EXVCMq6QJPTJje7Kjdck2D1zxYA2xIZ4D_VOL31ILm0RCr9vbmn76-cwkBVu9BgMrtfTWkdidDTOh0GT4MlS9-E7js4QbVxfol9pb3KM84v565PiwOp1wtOHeVx8eff28-xDufj4fj47W5SGy3osjbFQUWBt18oKbNOzqqUVcoFW1Ch5w5pOGmr6trNVA6xrmtYKwL7mXUcF8OPixc67ieHbhGlUg0vbuNpjmJJidRa3QjQyo8__QS_DFH1Op5hgVZZRzjLFdpSJIaWIVm2iG3S8VhTUtjq1q07l6tR9dWqrfvagnroB-_3Kn6IywHdAyk9-ifHv3__R3gGgJaMa</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Xie, Sidong</creator><creator>Zhang, Yao</creator><creator>Chen, Jingbiao</creator><creator>Jiang, Ting</creator><creator>Liu, Weimin</creator><creator>Rong, Dailin</creator><creator>Sun, Lin</creator><creator>Zhang, Linqi</creator><creator>He, Bingjun</creator><creator>Wang, Jin</creator><general>Springer US</general><general>Springer Nature B.V</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7956-9579</orcidid></search><sort><creationdate>20220201</creationdate><title>Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI?</title><author>Xie, Sidong ; Zhang, Yao ; Chen, Jingbiao ; Jiang, Ting ; Liu, Weimin ; Rong, Dailin ; Sun, Lin ; Zhang, Linqi ; He, Bingjun ; Wang, Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-ccf041029b9740f8d24914e36ef65e73828b7c1cd9bf4802b889f60ed53bb1603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acids</topic><topic>Carcinoma, Hepatocellular - diagnostic imaging</topic><topic>Contrast Media</topic><topic>Criteria</topic><topic>Gadolinium DTPA</topic><topic>Gastroenterology</topic><topic>Hepatobiliary</topic><topic>Hepatocellular carcinoma</topic><topic>Hepatology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Liver cancer</topic><topic>Liver Neoplasms - diagnostic imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Malignancy</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Sensitivity</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xie, Sidong</creatorcontrib><creatorcontrib>Zhang, Yao</creatorcontrib><creatorcontrib>Chen, Jingbiao</creatorcontrib><creatorcontrib>Jiang, Ting</creatorcontrib><creatorcontrib>Liu, Weimin</creatorcontrib><creatorcontrib>Rong, Dailin</creatorcontrib><creatorcontrib>Sun, Lin</creatorcontrib><creatorcontrib>Zhang, Linqi</creatorcontrib><creatorcontrib>He, Bingjun</creatorcontrib><creatorcontrib>Wang, Jin</creatorcontrib><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>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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 China</collection><collection>MEDLINE - Academic</collection><jtitle>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Sidong</au><au>Zhang, Yao</au><au>Chen, Jingbiao</au><au>Jiang, Ting</au><au>Liu, Weimin</au><au>Rong, Dailin</au><au>Sun, Lin</au><au>Zhang, Linqi</au><au>He, Bingjun</au><au>Wang, Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI?</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>47</volume><issue>2</issue><spage>596</spage><epage>607</epage><pages>596-607</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
To evaluate whether the Liver Imaging Reporting and Data System
(
LI-RADS) v2018 LR-5 criteria can be modified to increase sensitivity without reducing specificity for diagnosing 10–19 mm hepatocellular carcinoma (HCC) on gadoxetic acid-enhanced magnetic resonance imaging (MRI).
Methods
A total of 133 high-risk consecutive patients with 174 small observations (10–19 mm) detected on gadoxetic acid-enhanced MRI were retrospectively studied. LI-RADS MRI major features (MFs) and ancillary features (AFs) were reviewed by two independent radiologists in consensus. Observations were categorized using LI-RADS v2018 MFs. Independently significant AFs were identified through logistic regression analysis. Upgraded LR-5 criteria were developed by combining independently significant AFs with MFs of LR-3 or LR-4 v2018. The sensitivity and specificity of the new diagnostic criteria were compared with those of LR-5 v2018 using McNemar’s test.
Results
Three of the AFs favoring malignancy [mild–moderate T2 hyperintensity, transitional phase (TP) hypointensity and fat in mass] were independently significant features for diagnosing 10–19 mm HCC. The upgraded LR-5 criteria (mLI-RADS VII: LR-4 + mild–moderate T2 hyperintensity/TP hypointensity or LR-3 + fat in mass) yielded a significantly greater sensitivity than that of the LR-5 v2018 criteria (70.4% vs 55.1%;
p
< 0.001), whereas the specificity was not significantly different (94.7% vs 98.7%,
p
= 0.250).
Conclusions
Independently significant AFs may be used to upgrade an observation from LR-3/LR-4 to LR-5, which can improve the sensitivity without impairing the specificity for diagnosing 10–19 mm HCC on gadoxetic acid-enhanced MRI.
Graphical abstract</abstract><cop>New York</cop><pub>Springer US</pub><pmid>34773467</pmid><doi>10.1007/s00261-021-03339-7</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-7956-9579</orcidid></addata></record> |
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| ispartof | Abdominal imaging, 2022-02, Vol.47 (2), p.596-607 |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Acids Carcinoma, Hepatocellular - diagnostic imaging Contrast Media Criteria Gadolinium DTPA Gastroenterology Hepatobiliary Hepatocellular carcinoma Hepatology Humans Imaging Liver cancer Liver Neoplasms - diagnostic imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods Malignancy Medical diagnosis Medical imaging Medicine Medicine & Public Health Radiology Regression analysis Retrospective Studies Sensitivity Sensitivity and Specificity |
| title | Can modified LI-RADS increase the sensitivity of LI-RADS v2018 for the diagnosis of 10–19 mm hepatocellular carcinoma on gadoxetic acid-enhanced MRI? |
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