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 Scenariosopen access
- Authors
- Han, Dae Hee; Goo, Jin Mo; Chong, Semin; Ahn, Myeong Im
- Issue Date
- Mar-2017
- Publisher
- KOREAN RADIOLOGICAL SOC
- Keywords
- Questionnaires; Pulmonary nodule; Screening; Lung-RADS
- Citation
- KOREAN JOURNAL OF RADIOLOGY, v.18, no.2, pp 402 - 407
- Pages
- 6
- Journal Title
- KOREAN JOURNAL OF RADIOLOGY
- Volume
- 18
- Number
- 2
- Start Page
- 402
- End Page
- 407
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45587
- DOI
- 10.3348/kjr.2017.18.2.402
- ISSN
- 1229-6929
2005-8330
- 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.
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