Cervical necrotic lymphadenopathy: a diagnostic tree analysis model based on CT and clinical findings
DC Field | Value | Language |
---|---|---|
dc.contributor.author | You, Sung-Hye | - |
dc.contributor.author | Kim, Byungjun | - |
dc.contributor.author | Yang, Kyung-Sook | - |
dc.contributor.author | Kim, Bo Kyu | - |
dc.date.accessioned | 2021-09-01T05:05:24Z | - |
dc.date.available | 2021-09-01T05:05:24Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/62726 | - |
dc.description.abstract | Objectives To establish a diagnostic tree analysis (DTA) model based on computed tomography (CT) findings and clinical information for differential diagnosis of cervical necrotic lymphadenopathy, especially in regions where tuberculous lymphadenitis and Kikuchi disease are common. Methods A total of 290 patients (147 men and 143 women; mean age (years), 46.2 +/- 19.5; range, 3-91) with pathologically confirmed metastasis (n = 110), tuberculous lymphadenitis (n = 73), Kikuchi disease (n = 71), and lymphoma (n = 36) who underwent contrast-enhanced neck CT were included. The patients were randomly divided into training (86%, 248/290) and validation (14%, 42/290) datasets to assess diagnostic performance of the DTA model. Two sorts of DTA models were created using a classification and regression tree algorithm on the basis of CT findings alone and that combined with clinical findings. Results In the DTA model based on CT findings alone, perinodal infiltration, number of the necrotic foci, percentage of necrotic lymph node (LN), degree of necrosis, margin and shape of the necrotic portion, shape of the LN, and enhancement ratio (cutoff value, 1.93) were significant predictors for differential diagnosis of cervical necrotic lymphadenopathy. The overall accuracy was 80.6% and 73.8% in training and validation datasets. In the model based on imaging and clinical findings, tenderness, history of underlying malignancy, percentage of necrotic LN, degree of necrosis, and number of necrotic foci were significant predictors. The overall accuracy was 87.1% and 88.1% in training and external validation datasets. Conclusions The DTA model based on CT imaging and clinical findings may be helpful for the diagnosis of cervical necrotic lymphadenopathy. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.subject | KIKUCHI-FUJIMOTO-DISEASE | - |
dc.subject | DIFFUSION-WEIGHTED MR | - |
dc.subject | LYMPH-NODES | - |
dc.subject | TUBERCULOUS LYMPHADENITIS | - |
dc.subject | NODAL NECROSIS | - |
dc.subject | HEAD | - |
dc.subject | DIFFERENTIATION | - |
dc.subject | ACCURACY | - |
dc.title | Cervical necrotic lymphadenopathy: a diagnostic tree analysis model based on CT and clinical findings | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | You, Sung-Hye | - |
dc.contributor.affiliatedAuthor | Kim, Byungjun | - |
dc.identifier.doi | 10.1007/s00330-019-06155-2 | - |
dc.identifier.scopusid | 2-s2.0-85064164207 | - |
dc.identifier.wosid | 000483696900055 | - |
dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, v.29, no.10, pp.5635 - 5645 | - |
dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
dc.citation.title | EUROPEAN RADIOLOGY | - |
dc.citation.volume | 29 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 5635 | - |
dc.citation.endPage | 5645 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | KIKUCHI-FUJIMOTO-DISEASE | - |
dc.subject.keywordPlus | DIFFUSION-WEIGHTED MR | - |
dc.subject.keywordPlus | LYMPH-NODES | - |
dc.subject.keywordPlus | TUBERCULOUS LYMPHADENITIS | - |
dc.subject.keywordPlus | NODAL NECROSIS | - |
dc.subject.keywordPlus | HEAD | - |
dc.subject.keywordPlus | DIFFERENTIATION | - |
dc.subject.keywordPlus | ACCURACY | - |
dc.subject.keywordAuthor | Lymphadenopathy | - |
dc.subject.keywordAuthor | Necrosis | - |
dc.subject.keywordAuthor | Tuberculosis | - |
dc.subject.keywordAuthor | Metastasis | - |
dc.subject.keywordAuthor | Lymphoma | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.