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Preoperative Clinical and Computed Tomography (CT)-Based Nomogram to Predict Oncologic Outcomes in Patients with Pancreatic Head Cancer Resected with Curative Intent: A Retrospective Study

DC Field Value Language
dc.contributor.author강창무-
dc.contributor.author김명진-
dc.contributor.author김하얀-
dc.contributor.author박미숙-
dc.contributor.author이우정-
dc.contributor.author정용은-
dc.contributor.author황호경-
dc.date.accessioned2019-12-18T00:49:51Z-
dc.date.available2019-12-18T00:49:51Z-
dc.date.issued2019-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/173233-
dc.description.abstractBACKGROUND: Currently, proposed nomograms are mainly based on post-operative histopathology. The purpose of this study was to identify preoperative computed tomography (CT) and clinical information that allow prediction of disease-free (DFS) and overall survival (OS) of patients surgically treated for pancreatic head cancer. METHODS: A total of 136 patients who underwent curative-intent surgery were retrospectively reviewed. Based on results from multivariate Cox regression analysis, a prediction model was constructed with preoperative CT features and clinical information. Overall performance of the nomogram was calculated by Harrell's C-index. RESULTS: Symptoms at diagnosis, preoperative serum CA 19-9 ≥ 34 U/mL, and four imaging features (necrosis (DFS, P = 0.066; OS, P = 0.002), possible venous invasion (DFS, P = 0.150, OS, P = 0.055), suspected metastatic regional lymph node (DFS, P = 0.001; OS, P = 0.099), and associated pancreatitis or pseudocyst (DFS, P = 0.013; OS, P = 0.041)) were included to build the nomogram. The c-statistics for the discrimination power of the proposed nomogram was 0.6496 for DFS and 0.6746 for OS. CONCLUSION: A nomogram derived from preoperative CT and clinical information could estimate the risk of recurrence and all-cause death after curative-intent surgery for radiologically resectable pancreatic head cancer.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI AG-
dc.relation.isPartOfJOURNAL OF CLINICAL MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titlePreoperative Clinical and Computed Tomography (CT)-Based Nomogram to Predict Oncologic Outcomes in Patients with Pancreatic Head Cancer Resected with Curative Intent: A Retrospective Study-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Surgery (외과학교실)-
dc.contributor.googleauthorShin Hye Hwang-
dc.contributor.googleauthorHa Yan Kim-
dc.contributor.googleauthorEun Ju Lee-
dc.contributor.googleauthorHo Kyoung Hwang-
dc.contributor.googleauthorMi-Suk Park-
dc.contributor.googleauthorMyeong-jin Kim-
dc.contributor.googleauthorWoo Jung Lee-
dc.contributor.googleauthorYong Eun Chung-
dc.contributor.googleauthorChang Moo Kang-
dc.identifier.doi10.3390/jcm8101749-
dc.contributor.localIdA00088-
dc.contributor.localIdA00426-
dc.contributor.localIdA01091-
dc.contributor.localIdA01463-
dc.contributor.localIdA02993-
dc.contributor.localIdA03662-
dc.contributor.localIdA04497-
dc.relation.journalcodeJ03556-
dc.identifier.eissn2077-0383-
dc.identifier.pmid31640240-
dc.subject.keywordcomputed tomography (CT)-
dc.subject.keywordnomogram-
dc.subject.keywordpancreatic cancer-
dc.subject.keywordpancreatic head cancer-
dc.subject.keywordprognosis-
dc.contributor.alternativeNameKang, Chang Moo-
dc.contributor.affiliatedAuthor강창무-
dc.contributor.affiliatedAuthor김명진-
dc.contributor.affiliatedAuthor김하얀-
dc.contributor.affiliatedAuthor박미숙-
dc.contributor.affiliatedAuthor이우정-
dc.contributor.affiliatedAuthor정용은-
dc.contributor.affiliatedAuthor황호경-
dc.citation.volume8-
dc.citation.number10-
dc.citation.startPageE1749-
dc.identifier.bibliographicCitationJOURNAL OF CLINICAL MEDICINE, Vol.8(10) : E1749, 2019-
dc.identifier.rimsid63723-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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