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Use of Imaging to Predict Complete Response of Colorectal Liver Metastases after Chemotherapy: MR Imaging versus CT Imaging

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dc.contributor.author김한솔-
dc.contributor.author남정모-
dc.contributor.author박미숙-
dc.contributor.author박민정-
dc.contributor.author안찬식-
dc.date.accessioned2018-07-20T08:02:51Z-
dc.date.available2018-07-20T08:02:51Z-
dc.date.issued2017-
dc.identifier.issn0033-8419-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160785-
dc.description.abstractPurpose To compare the diagnostic performances of contrast agent-enhanced computed tomography (CT) and gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid-enhanced liver magnetic resonance (MR) imaging (referred to as EOB MR imaging) in the evaluation of disappearing colorectal liver metastases (CRLMs) after chemotherapy. Materials and Methods The eight institutional review boards approved this retrospective study and waived the requirement for informed consent. On the basis of retrospective searches in eight hospitals, 87 patients with 393 CRLMs, each patient with one or more CRLM that later disappeared on contrast-enhanced CT scans after chemotherapy, and subsequently underwent surgery for the CRLMs, were enrolled. The anonymized imaging data and case report forms were sent to the central review system and independently reviewed by four radiologists. All anonymized data were randomly allocated into two groups (groups A and B), which were read by two independent readers. True absence of tumor was defined as pathologic absence of tumor for resected lesions and no in situ recurrence within 1 year after surgery for lesions left unresected at each 3-month follow-up contrast-enhanced CT. Positive predictive values for absence of tumor and for residual tumor on contrast-enhanced CT and EOB MR images were compared by using a generalized estimating equation. Results Among 393 CRLMs, the positive predictive value for absence of tumor on EOB MR images (78.0%; 95% confidence interval [CI]: 63.68%, 87.74%) was significantly higher than that on contrast-enhanced CT scans (35.2%; 95% CI: 25.11%, 46.79%; P < .001). The positive predictive value for residual tumor on CT scans (86.0%; 95% CI: 78.61%, 91.16%) was higher than that on EOB MR images (83.8%; 95% CI: 77.50%, 88.67%) without statistical significance (P = .330). Conclusion EOB MR imaging was superior to contrast-enhanced CT imaging for assessment of disappearing CRLMs after chemotherapy. © RSNA, 2017 Online supplemental material is available for this article.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherRadiological Society of North America-
dc.relation.isPartOfRADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHCatheter Ablation-
dc.subject.MESHColorectal Neoplasms/pathology*-
dc.subject.MESHContrast Media-
dc.subject.MESHFemale-
dc.subject.MESHGadolinium DTPA-
dc.subject.MESHHumans-
dc.subject.MESHLiver Neoplasms/diagnostic imaging*-
dc.subject.MESHLiver Neoplasms/drug therapy*-
dc.subject.MESHLiver Neoplasms/secondary*-
dc.subject.MESHLiver Neoplasms/surgery-
dc.subject.MESHMagnetic Resonance Imaging/methods*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-Ray Computed/methods*-
dc.subject.MESHTreatment Outcome-
dc.titleUse of Imaging to Predict Complete Response of Colorectal Liver Metastases after Chemotherapy: MR Imaging versus CT Imaging-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Radiology-
dc.contributor.googleauthorMin Jung Park-
dc.contributor.googleauthorNurhee Hong-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorMin Ju Kim-
dc.contributor.googleauthorYoon Jin Lee-
dc.contributor.googleauthorYang Shin Park-
dc.contributor.googleauthorSung Eun Rha-
dc.contributor.googleauthorSumi Park-
dc.contributor.googleauthorWon Jae Lee-
dc.contributor.googleauthorSeong Ho Park-
dc.contributor.googleauthorChang Hee Lee-
dc.contributor.googleauthorChung Mo Nam-
dc.contributor.googleauthorChansik An-
dc.contributor.googleauthorHye Jin Kim-
dc.contributor.googleauthorHonsoul Kim-
dc.contributor.googleauthorMi-Suk Park-
dc.identifier.doi10.1148/radiol.2017161619-
dc.contributor.localIdA01099-
dc.contributor.localIdA01264-
dc.contributor.localIdA01463-
dc.contributor.localIdA01469-
dc.contributor.localIdA02268-
dc.relation.journalcodeJ02596-
dc.identifier.eissn1527-1315-
dc.identifier.pmid28327002-
dc.identifier.urlhttps://pubs.rsna.org/doi/10.1148/radiol.2017161619-
dc.contributor.alternativeNameKim, Hon Soul-
dc.contributor.alternativeNameNam, Jung Mo-
dc.contributor.alternativeNamePark, Mi Sook-
dc.contributor.alternativeNamePark, Min Jung-
dc.contributor.alternativeNameAn, Chan Sik-
dc.contributor.affiliatedAuthorKim, Hon Soul-
dc.contributor.affiliatedAuthorNam, Jung Mo-
dc.contributor.affiliatedAuthorPark, Mi-Suk-
dc.contributor.affiliatedAuthorPark, Min Jung-
dc.contributor.affiliatedAuthorAn, Chan Sik-
dc.citation.volume284-
dc.citation.number2-
dc.citation.startPage423-
dc.citation.endPage431-
dc.identifier.bibliographicCitationRADIOLOGY, Vol.284(2) : 423-431, 2017-
dc.identifier.rimsid60671-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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