title: Estimating rate of growth in bone lesions: observer performance and error.
abstract: In an experimental study of reader experience in identifying the variables essential to grading bone neoplasms, reader error is measured against book grade, a human consensus of the presence or absence of key variables. The average accuracy for classifying focal lesions into slow or fast categories is 83.4% for 890 readings as compared with average diagnostic accuracy of 53.7%. Analyses of human error have provided insight into how to improve the grading algorithm without significant loss of its ability to separate lesions into meaningful categories.
mesh_terms: D001859:Bone Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D003936:Diagnosis, Computer-Assisted; D003951:Diagnostic Errors; D005069:Evaluation Studies as Topic; D006801:Humans; D008722:Methods; D011859:Radiography / Q000592:standards*