Methods and reliability of radiographic vertebral fracture detection in older men: the osteoporotic fractures in men study

Autor: Peter Steiger, Elizabeth Barrett-Connor, Katherine W. Peters, Robin L. Fullman, Lynn M. Marshall, John T. Schousboe, Jane Haslam, Dennis M. Black, Kristine E. Ensrud, Peggy M. Cawthon, Steven R. Cummings, Eric S. Orwoll
Rok vydání: 2014
Předmět:
Zdroj: Bone. 67
ISSN: 1873-2763
Popis: We describe the methods and reliability of radiographic vertebral fracture assessment in MrOS, a cohort of community dwelling men aged ≥ 65 yrs. Lateral spine radiographs were obtained at Visit 1 (2000–2) and 4.6 years later (Visit 2). Using a workflow tool (SpineAnalyzer™, Optasia Medical), a physician reader completed semi-quantitative (SQ) scoring. Prior to SQ scoring, technicians performed “triage” to reduce physician reader workload, whereby clearly normal spine images were eliminated from SQ scoring with all levels assumed to be SQ = 0 (no fracture, “triage negative”); spine images with any possible fracture or abnormality were passed to the physician reader as “triage positive” images. Using a quality assurance sample of images (n = 20 participants; 8 with baseline only and 12 with baseline and follow-up images) read multiple times, we calculated intra-reader kappa statistics and percent agreement for SQ scores. A subset of 494 participants' images was read regardless of triage classification to calculate the specificity and sensitivity of triage. Technically adequate images were available for 5958 of 5994 participants at Visit 1, and 4399 of 4423 participants at Visit 2. Triage identified 3215 (53.9%) participants with radiographs that required further evaluation by the physician reader. For prevalent fractures at Visit 1 (SQ ≥ 1), intra-reader kappa statistics ranged from 0.79 to 0.92; percent agreement ranged from 96.9% to 98.9%; sensitivity of the triage was 96.8% and specificity of triage was 46.3%. In conclusion, SQ scoring had excellent intra-rater reliability in our study. The triage process reduces expert reader workload without hindering the ability to identify vertebral fractures.
Databáze: OpenAIRE