Publication:
Differentiation of hepatocellular carcinoma from non-hepatocellular malignant tumours of liver by chemical-shift mri at 3 t

dc.contributor.buuauthorSavcı, Gürsel
dc.contributor.buuauthorSAVCI, GÜRSEL
dc.contributor.buuauthorÖztürk, Kerem
dc.contributor.buuauthorÖzkaya, G.
dc.contributor.buuauthorÖZKAYA, GÜVEN
dc.contributor.buuauthorSoylu, E.
dc.contributor.buuauthorYazıcı, Zeynep
dc.contributor.buuauthorYAZICI, ZEYNEP
dc.contributor.departmentTıp Fakültesi
dc.contributor.departmentRadyoloji Ana Bilim Dalı
dc.contributor.orcid0000-0001-9664-2347
dc.contributor.orcid0000-0003-0297-846X
dc.contributor.researcheridAAI-2303-2021
dc.contributor.researcheridE-1228-2018
dc.contributor.researcheridA-4421-2016
dc.contributor.researcheridAAH-5481-2021
dc.date.accessioned2024-10-07T05:50:47Z
dc.date.available2024-10-07T05:50:47Z
dc.date.issued2019-10-01
dc.description.abstractAIM: To evaluate the diagnostic performance of chemical shift magnetic resonance imaging (MRI) in distinguishing hepatocellular carcinomas (HCCs) from non-hepatocellular malignant tumours (non-HCCs) of the liver.MATERIALS AND METHODS: Patients with a diagnosis of malignant liver tumours examined at 3 T MRI were included in this retrospective study. Forty-seven HCCs and 75 non-HCCs that were studied with chemical-shift MRI between January 2012 and October 2016 were retrieved from the radiology database. Two blinded observers measured the signal intensities of the tumours, adjacent normal-looking liver parenchyma, and spleen on chemical-shift MRI. The fat quantification for HCCs, non-HCCs, and adjacent normal-looking liver parenchyma were calculated by using the spleen as a reference standard. The subtraction scores were calculated by subtracting fat percentages in liver parenchyma from those in tumours. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the fat percentage subtraction scores in distinguishing HCCs from non-HCCs were calculated.RESULTS: According to the optimal cut-off value acquired from both readers, a subtraction score >-0.26 was considered to be a HCC. Fat signal percentage subtraction scores were >=-0.26 in 45 of 47 HCCs and were <-0.26 in 69 of 75 non-HCCs. The sensitivity, specificity, PPV, and NPV of fat signal percentage subtraction score to differentiate HCCs from non-HCCs were found to be 95.7%, 89.3%, 84.9%, and 97.1%, respectively.CONCLUSION: Intracytoplasmic lipid in HCCs demonstrated by quantitative chemical-shift MRI may be a potentially powerful imaging biomarker to distinguish HCCs from the other malignant liver tumours.
dc.identifier.doi10.1016/j.crad.2019.06.006
dc.identifier.endpage804
dc.identifier.issn0009-9260
dc.identifier.issue10
dc.identifier.startpage797
dc.identifier.urihttps://doi.org/10.1016/j.crad.2019.06.006
dc.identifier.urihttps://hdl.handle.net/11452/45924
dc.identifier.volume74
dc.identifier.wos000484770700009
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherW B Saunders Co Ltd
dc.relation.journalClinical Radiology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFat quantification
dc.subjectCirrhotic liver
dc.subjectGradient-echo
dc.subjectDiagnosis
dc.subjectPhase
dc.subjectActivation
dc.subjectMechanism
dc.subjectAccuracy
dc.subjectNodules
dc.subjectCancer
dc.subjectScience & technology
dc.subjectLife sciences & biomedicine
dc.subjectRadiology, nuclear medicine & medical imaging
dc.titleDifferentiation of hepatocellular carcinoma from non-hepatocellular malignant tumours of liver by chemical-shift mri at 3 t
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Radyoloji Ana Bilim Dalı
local.contributor.departmentTıp Fakültesi/Biyoistatistik Ana Bilim Dalı
relation.isAuthorOfPublicationfca66421-7995-410d-8941-99c231c86f25
relation.isAuthorOfPublication648e85b9-2f4f-4f92-a2d7-794286abd0fd
relation.isAuthorOfPublication523d917f-26be-4117-90bc-22d8bb2ec1a9
relation.isAuthorOfPublication.latestForDiscoveryfca66421-7995-410d-8941-99c231c86f25

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