Skip to main content
. 2021 Jul 20;32(1):725–736. doi: 10.1007/s00330-021-08132-0

Table 2.

Reference-standard report labels across all abnormality categories. We refer to the ‘presence or absence of any abnormality’ dataset as the ‘binary’ dataset and the ‘specialised categories of abnormality’ dataset as the ‘granular’ dataset. Granular definitions are provided in the supplemental material. Briefly, ‘small vessel disease’ refers to the presence of moderate or severe small vessel disease [26]; ‘vascular’ includes abnormalities such as aneurysms; ‘atrophy’ refers to volume loss in excess of age; ‘encephalomalacia’ refers to any cause of permanent tissue damage including previous surgery or the chronic sequelae of infarcts or haemorrhages

Dataset Binary label dataset King’s College Hospital NHS Foundation Trust (n = 3000) Binary label dataset Guy’s and St Thomas’ NHS Foundation Trust (n = 500) Granular label dataset Guy’s and St Thomas’ NHS Foundation Trust (n = 2000)
Category Abnormal Abnormal Small vessel disease Acute stroke Mass Vascular White matter inflammation Atrophy Encephalomalacia
Number of examinations 1152 215 266 251 351 287 257 264 384
Interrater agreement (Fleiss kappa) 0.87 0.89 0.85 0.84 0.92 0.91 0.94 0.79 0.83