Chest Computed Tomography-Based Scoring of Thoracic Sarcoidosis: Inter-rater Reliability of CT Abnormalities

D. A. Van den Heuvel*, P. A. de Jong, P. Zanen, H. W. van Es, J. P. van Heesewijk, M. Spee, J. C. Grutters

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Purpose To determine inter-rater reliability of sarcoidosis-related computed tomography (CT) findings that can be used for scoring of thoracic sarcoidosis.

Material and Methods CT images of 51 patients with sarcoidosis were scored by five chest radiologists for various abnormal CT findings (22 in total) encountered in thoracic sarcoidosis. Using intra-class correlation coefficient (ICC) analysis, inter-rater reliability was analysed and reported according to the Guidelines for Reporting Reliability and Agreement Studies (GRRAS) criteria. A pre-specified sub-analysis was performed to investigate the effect of training. Scoring was trained in a distinct set of 15 scans in which all abnormal CT findings were represented.

Results Median age of the 51 patients (36 men, 70 %) was 43 years (range 26 - 64 years). All radiographic stages were present in this group. ICC ranged from 0.91 for honeycombing to 0.11 for nodular margin (sharp versus ill-defined). The ICC was above 0.60 in 13 of the 22 abnormal findings. Sub-analysis for the best-trained observers demonstrated an ICC improvement for all abnormal findings and values above 0.60 for 16 of the 22 abnormalities.

Conclusions In our cohort, reliability between raters was acceptable for 16 thoracic sarcoidosis-related abnormal CT findings.

Original languageEnglish
Pages (from-to)2558-2566
Number of pages9
JournalEuropean Radiology
Volume25
Issue number9
DOIs
Publication statusPublished - Sept 2015

Keywords

  • Sarcoidosis
  • Pulmonary
  • Computed
  • tomography
  • Reliability
  • Scoring
  • HIGH-RESOLUTION CT
  • AIR-FLOW OBSTRUCTION
  • PULMONARY SARCOIDOSIS
  • PATHOLOGICAL CORRELATION
  • OBSERVER VARIATION
  • EXPIRATORY CT
  • DISEASE
  • QUANTITATION
  • DIAGNOSIS
  • SEVERITY

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