Detecting Technical Image Quality in Radiology Reports.

Image interpretation accuracy is critical to ensure optimal care, yet many diagnostic reports contain expressions of uncertainty often due to shortcomings in technical quality among other factors. While radiologists will usually attempt to interpret images and render a diagnosis even if the imaging quality is suboptimal, often the details related to any quality concerns are dictated into the report. Despite imaging exam quality being an import factor for accurate image interpretation, there is a significant knowledge gap in terms of understanding the nature and frequency of technical limitations mentioned in radiology reports. To address some of these limitations, in this research we developed algorithms to automatically detect a broad spectrum of acquisition-related quality concerns using a dataset containing 1,210,858 exams. There was some type of a quality concern mentioned in 2.4% of exams with motion being the most frequent.

Using hip measures to avoid misdiagnosing early rapid onset osteoarthritis for osteonecrosis.

In the early phases, subchondral insufficiency fractures and rapidly destructive osteoarthritis of the hip are often mistaken for osteonecrosis of the hip. Three hip measures were used comparing combined subchondral insufficiency fractures and rapidly destructive 18 osteoarthritis patients to 18 osteonecrosis patients. Due to the rarity of these conditions there was no statistical power. Initial diagnoses for the osteoarthritis patients were recorded. The osteoarthritis group had significantly higher means for Tönnis angle (P < 0.001), lateral center edge angle (P = 0.006), and acetabular extrusion index (P = 0.014). Only 7 of the 18 patients were initially diagnosed without reservation as subchondral insufficiency fracture or rapidly destructive osteoarthritis. Using hip measures will reduce the misdiagnosis of rapid onset osteoarthritis of the hip for osteonecrosis.