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
Korean Journal of Radiology
;
: 402-407, 2017.
Article
in English
| WPRIM
| ID: wpr-36757
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 ANDMETHODS:
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Thorax
/
Information Systems
/
Mass Screening
/
Surveys and Questionnaires
/
Consensus
/
Lung
/
Lung Neoplasms
Type of study:
Practice guideline
/
Screening study
Language:
English
Journal:
Korean Journal of Radiology
Year:
2017
Type:
Article
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