Computer-Aided Classification of Visual. Ventilation Patterns in Patients with Chronic Obstructive Pulmonary Disease at Two-Phase Xenon-Enhanced CT
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Soon Ho | - |
dc.contributor.author | Goo, Jin Mo | - |
dc.contributor.author | Jung, Julip | - |
dc.contributor.author | Hong, Helen | - |
dc.contributor.author | Park, Eun Ah | - |
dc.contributor.author | Lee, Chang Hyun | - |
dc.contributor.author | Lee, Youkyung | - |
dc.contributor.author | Jin, Kwang Nam | - |
dc.contributor.author | Choo, Ji Yung | - |
dc.contributor.author | Lee, Nyoung Keun | - |
dc.date.accessioned | 2022-07-16T04:56:12Z | - |
dc.date.available | 2022-07-16T04:56:12Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2014-05 | - |
dc.identifier.issn | 1229-6929 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160065 | - |
dc.description.abstract | Objective: To evaluate the technical feasibility, performance, and interobserver agreement of a computer-aided classification (CAC) system for regional ventilation at two-phase xenon-enhanced CT in patients with chronic obstructive pulmonary disease (COPD). Materials and Methods: Thirty-eight patients with COPD underwent two-phase xenon ventilation CT with resulting wash-in (WI) and wash-out (WO) xenon images. The regional ventilation in structural abnormalities was visually categorized into four patterns by consensus of two experienced radiologists who compared the xenon attenuation of structural abnormalities with that of adjacent normal parenchyma in the WI and WO images, and it served as the reference. Two series of image datasets of structural abnormalities were randomly extracted for optimization and validation. The proportion of agreement on a per-lesion basis and receiver operating characteristics on a per-pixel basis between CAC and reference were analyzed for optimization. Thereafter, six readers independently categorized the regional ventilation in structural abnormalities in the validation set without and with a CAC map. Interobserver agreement was also compared between assessments without and with CAC maps using multirater kappa statistics. Results: Computer-aided classification maps were successfully generated in 31 patients (81.5%). The proportion of agreement and the average area under the curve of optimized CAC maps were 94% (75/80) and 0.994, respectively. Multirater kappa value was improved from moderate (kappa = 0.59; 95% confidence interval [CI], 0.56-0.62) at the initial assessment to excellent (kappa = 0.82; 95% CI, 0.79-0.85) with the CAC map. Conclusion: Our proposed CAC system demonstrated the potential for regional ventilation pattern analysis and enhanced interobserver agreement on visual classification of regional ventilation. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | KOREAN RADIOLOGICAL SOC | - |
dc.title | Computer-Aided Classification of Visual. Ventilation Patterns in Patients with Chronic Obstructive Pulmonary Disease at Two-Phase Xenon-Enhanced CT | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Youkyung | - |
dc.identifier.doi | 10.3348/kjr.2014.15.3.386 | - |
dc.identifier.scopusid | 2-s2.0-84900420243 | - |
dc.identifier.wosid | 000336463300012 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF RADIOLOGY, v.15, no.3, pp.386 - 396 | - |
dc.relation.isPartOf | KOREAN JOURNAL OF RADIOLOGY | - |
dc.citation.title | KOREAN JOURNAL OF RADIOLOGY | - |
dc.citation.volume | 15 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 386 | - |
dc.citation.endPage | 396 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001880420 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | DUAL-ENERGY CT | - |
dc.subject.keywordPlus | LUNG-VOLUME REDUCTION | - |
dc.subject.keywordPlus | COLLATERAL VENTILATION | - |
dc.subject.keywordPlus | INTEROBSERVER VARIABILITY | - |
dc.subject.keywordPlus | INITIAL-EXPERIENCE | - |
dc.subject.keywordPlus | RADIOLOGISTS | - |
dc.subject.keywordPlus | TOMOGRAPHY | - |
dc.subject.keywordPlus | EMPHYSEMA | - |
dc.subject.keywordPlus | AGREEMENT | - |
dc.subject.keywordPlus | DIAGNOSIS | - |
dc.subject.keywordAuthor | Computer-aided classification | - |
dc.subject.keywordAuthor | Computed tomography | - |
dc.subject.keywordAuthor | Chronic obstructive pulmonary disease | - |
dc.subject.keywordAuthor | Regional ventilation | - |
dc.subject.keywordAuthor | Xenon CT | - |
dc.identifier.url | https://www.kjronline.org/DOIx.php?id=10.3348/kjr.2014.15.3.386 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
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.