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High-resolution pancreatic computed tomography for assessing pancreatic ductal adenocarcinoma resectability: a multicenter prospective study

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dc.contributor.author방승민-
dc.contributor.author최진영-
dc.date.accessioned2024-05-30T06:53:34Z-
dc.date.available2024-05-30T06:53:34Z-
dc.date.issued2023-09-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/199425-
dc.description.abstractObjectiveThis prospective multicenter study aimed to evaluate the diagnostic performance of 80-kVp thin-section pancreatic CT in determining pancreatic ductal adenocarcinoma (PDAC) resectability according to the recent National Comprehensive Cancer Network (NCCN) guidelines.MethodsWe prospectively enrolled surgical resection candidates for PDAC from six tertiary referral hospitals (study identifier: NCT03895177). All participants underwent pancreatic CT using 80 kVp tube voltage with 1-mm reconstruction interval. The local resectability was prospectively evaluated using NCCN guidelines at each center and classified into three categories: resectable, borderline resectable, and unresectable.ResultsA total of 138 patients were enrolled; among them, 60 patients underwent neoadjuvant therapy. R0 resection was achieved in 103 patients (74.6%). The R0 resection rates were 88.7% (47/53), 52.4% (11/21), and 0.0% (0/4) for resectable, borderline resectable, and unresectable disease, respectively, in 78 patients who underwent upfront surgery. Meanwhile, the rates were 90.9% (20/22), 76.7% (23/30), and 25.0% (2/8) for resectable, borderline resectable, and unresectable PDAC, respectively, in patients who received neoadjuvant therapy. The area under curve of high-resolution CT in predicting R0 resection was 0.784, with sensitivity, specificity, and accuracy of 87.4% (90/103), 48.6% (17/35), and 77.5% (107/138), respectively. Tumor response was significantly associated with the R0 resection after neoadjuvant therapy (odds ratio [OR] = 38.99, p = 0.016).ConclusionAn 80-kVp thin-section pancreatic CT has excellent diagnostic performance in assessing PDAC resectability, enabling R0 resection rates of 88.7% and 90.9% for patients with resectable PDAC who underwent upfront surgery and patients with resectable PDAC after neoadjuvant therapy, respectively.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHCarcinoma, Pancreatic Ductal* / diagnostic imaging-
dc.subject.MESHCarcinoma, Pancreatic Ductal* / pathology-
dc.subject.MESHCarcinoma, Pancreatic Ductal* / surgery-
dc.subject.MESHHumans-
dc.subject.MESHNeoadjuvant Therapy-
dc.subject.MESHPancreatic Neoplasms* / diagnostic imaging-
dc.subject.MESHPancreatic Neoplasms* / pathology-
dc.subject.MESHPancreatic Neoplasms* / surgery-
dc.subject.MESHProspective Studies-
dc.subject.MESHTomography, X-Ray Computed / methods-
dc.titleHigh-resolution pancreatic computed tomography for assessing pancreatic ductal adenocarcinoma resectability: a multicenter prospective study-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorDong Ho Lee-
dc.contributor.googleauthorHong Il Ha-
dc.contributor.googleauthorJin-Young Jang-
dc.contributor.googleauthorJung Woo Lee-
dc.contributor.googleauthorJin-Young Choi-
dc.contributor.googleauthorSeungmin Bang-
dc.contributor.googleauthorChang Hee Lee-
dc.contributor.googleauthorWan Bae Kim-
dc.contributor.googleauthorSeung Soo Lee-
dc.contributor.googleauthorSong Cheol Kim-
dc.contributor.googleauthorBo-Kyeong Kang-
dc.contributor.googleauthorJeong Min Lee-
dc.identifier.doi10.1007/s00330-023-09584-2-
dc.contributor.localIdA01786-
dc.contributor.localIdA04200-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid36988715-
dc.identifier.urlhttps://link.springer.com/article/10.1007/s00330-023-09584-2-
dc.subject.keywordCarcinoma, pancreatic ductal-
dc.subject.keywordMargins of excision-
dc.subject.keywordMultidetector computed tomography-
dc.contributor.alternativeNameBang, Seungmin-
dc.contributor.affiliatedAuthor방승민-
dc.contributor.affiliatedAuthor최진영-
dc.citation.volume33-
dc.citation.number9-
dc.citation.startPage5965-
dc.citation.endPage5975-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.33(9) : 5965-5975, 2023-09-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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