Are Lung Imaging Reporting and Data System Categories Clear to Radiologists? A Survey of the Korean Society of Thoracic Radiology Members on Ten Difficult-to-Classify Scenarios
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Dae Hee | - |
dc.contributor.author | Goo, Jin Mo | - |
dc.contributor.author | Chong, Semin | - |
dc.contributor.author | Ahn, Myeong Im | - |
dc.date.accessioned | 2021-06-18T08:43:02Z | - |
dc.date.available | 2021-06-18T08:43:02Z | - |
dc.date.issued | 2017-03 | - |
dc.identifier.issn | 1229-6929 | - |
dc.identifier.issn | 2005-8330 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45587 | - |
dc.description.abstract | Objective: To evaluate possible variability in chest radiologists' interpretations of the Lung Imaging Reporting and Data System (Lung-RADS) on difficult-to-classify scenarios. Materials and Methods: Ten scenarios of difficult-to-classify imaginary lung nodules were prepared as an online survey that targeted Korean Society of Thoracic Radiology members. In each question, a description was provided of the size, consistency, and interval change (new or growing) of a Lung nodule observed using annual repeat computed tomography, and the respondent was instructed to choose one answer from five choices: category 2, 3, 4A, or 4B, or "un-categorizable." Consensus answers were established by members of the Korean Imaging Study Group for Lung Cancer. Results: Of the 420 answers from 42 respondents (excluding multiple submissions), 310 (73.8%) agreed with the consensus answers; eleven (26.2%) respondents agreed with the consensus answers to six or fewer questions. Assigning the imaginary nodules to categories higher than the consensus answer was more frequent (16.0%) than assigning them to Lower categories (5.5%), and the agreement rate was below 50% for two scenarios. Conclusion: When given difficult-to-classify scenarios, chest radiologists showed Large variability in their interpretations of the Lung-RADS categories, with high frequencies of disagreement in some specific scenarios. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | KOREAN RADIOLOGICAL SOC | - |
dc.title | Are Lung Imaging Reporting and Data System Categories Clear to Radiologists? A Survey of the Korean Society of Thoracic Radiology Members on Ten Difficult-to-Classify Scenarios | - |
dc.type | Article | - |
dc.identifier.doi | 10.3348/kjr.2017.18.2.402 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF RADIOLOGY, v.18, no.2, pp 402 - 407 | - |
dc.identifier.kciid | ART002211632 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000395966000015 | - |
dc.identifier.scopusid | 2-s2.0-85013167776 | - |
dc.citation.endPage | 407 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 402 | - |
dc.citation.title | KOREAN JOURNAL OF RADIOLOGY | - |
dc.citation.volume | 18 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Questionnaires | - |
dc.subject.keywordAuthor | Pulmonary nodule | - |
dc.subject.keywordAuthor | Screening | - |
dc.subject.keywordAuthor | Lung-RADS | - |
dc.subject.keywordPlus | GUIDELINES | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang 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.