34 60

Cited 0 times in

Diagnosing thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance cytology with the deep convolutional neural network

DC Field Value Language
dc.contributor.author곽진영-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.contributor.author윤정현-
dc.contributor.author이혜선-
dc.date.accessioned2021-11-19T01:38:43Z-
dc.date.available2021-11-19T01:38:43Z-
dc.date.issued2021-10-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/185960-
dc.description.abstractTo compare the diagnostic performances of physicians and a deep convolutional neural network (CNN) predicting malignancy with ultrasonography images of thyroid nodules with atypia of undetermined significance (AUS)/follicular lesion of undetermined significance (FLUS) results on fine-needle aspiration (FNA). This study included 202 patients with 202 nodules ≥ 1 cm AUS/FLUS on FNA, and underwent surgery in one of 3 different institutions. Diagnostic performances were compared between 8 physicians (4 radiologists, 4 endocrinologists) with varying experience levels and CNN, and AUS/FLUS subgroups were analyzed. Interobserver variability was assessed among the 8 physicians. Of the 202 nodules, 158 were AUS, and 44 were FLUS; 86 were benign, and 116 were malignant. The area under the curves (AUCs) of the 8 physicians and CNN were 0.680-0.722 and 0.666, without significant differences (P > 0.05). In the subgroup analysis, the AUCs for the 8 physicians and CNN were 0.657-0.768 and 0.652 for AUS, 0.469-0.674 and 0.622 for FLUS. Interobserver agreements were moderate (k = 0.543), substantial (k = 0.652), and moderate (k = 0.455) among the 8 physicians, 4 radiologists, and 4 endocrinologists. For thyroid nodules with AUS/FLUS cytology, the diagnostic performance of CNN to differentiate malignancy with US images was comparable to that of physicians with variable experience levels.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherNature Publishing Group-
dc.relation.isPartOfSCIENTIFIC REPORTS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleDiagnosing thyroid nodules with atypia of undetermined significance/follicular lesion of undetermined significance cytology with the deep convolutional neural network-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorInyoung Youn-
dc.contributor.googleauthorEunjung Lee-
dc.contributor.googleauthorJung Hyun Yoon-
dc.contributor.googleauthorHye Sun Lee-
dc.contributor.googleauthorMi-Ri Kwon-
dc.contributor.googleauthorJuhee Moon-
dc.contributor.googleauthorSunyoung Kang-
dc.contributor.googleauthorSeul Ki Kwon-
dc.contributor.googleauthorKyong Yeun Jung-
dc.contributor.googleauthorYoung Joo Park-
dc.contributor.googleauthorDo Joon Park-
dc.contributor.googleauthorSun Wook Cho-
dc.contributor.googleauthorJin Young Kwak-
dc.identifier.doi10.1038/s41598-021-99622-0-
dc.contributor.localIdA00182-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.contributor.localIdA02595-
dc.contributor.localIdA03312-
dc.relation.journalcodeJ02646-
dc.identifier.eissn2045-2322-
dc.identifier.pmid34625636-
dc.contributor.alternativeNameKwak, Jin Young-
dc.contributor.affiliatedAuthor곽진영-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.contributor.affiliatedAuthor윤정현-
dc.contributor.affiliatedAuthor이혜선-
dc.citation.volume11-
dc.citation.number1-
dc.citation.startPage20048-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, Vol.11(1) : 20048, 2021-10-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.