Background: Deep learning has the potential to augment the use of chest radiography in clinical radiology, but challenges include poor generalizability, spectrum bias, and difficulty comparing across studies.Purpose: To develop and evaluate deep learning models for chest radiograph interpretation by using radiologist-adjudicated reference standards. Materials and Methods:Deep learning models were developed to detect four findings (pneumothorax, opacity, nodule or mass, and fracture) on frontal chest radiographs. This retrospective study used two data sets. Data set 1 (DS1) consisted of 759 611 images from a multicity hospital network and ChestX-ray14 is a publicly available data set with 112 120 images. Natural language processing and expert review of a subset of images provided labels for 657 954 training images. Test sets consisted of 1818 and 1962 images from DS1 and ChestX-ray14, respectively. Reference standards were defined by radiologist-adjudicated image review. Performance was evaluated by area under the receiver operating characteristic curve analysis, sensitivity, specificity, and positive predictive value. Four radiologists reviewed test set images for performance comparison. Inverse probability weighting was applied to DS1 to account for positive radiograph enrichment and estimate population-level performance.

Aim Prostate artery embolisation (PAE) is an approved treatment for men with lower urinary tract symptoms secondary to benign prostatic hyperplasia (BPH-LUTS). Evidence of efficacy for PAE in patients who are unable to void urine spontaneously is scant, however. Traditional treatments for BPH-LUTS have evidence in retention patients and this series aims to report outcomes for PAE in catheterised patients. Method The records of consecutive men with BPH-LUTS which required either an indwelling bladder catheter or clean intermittent self-catheterisation (CISC) who subsequently underwent PAE were retrospectively reviewed. Basic demographics were collected along with information on the prostate volume and PAE procedure specifics. The primary outcome was whether patients were catheter/CISC free at 3 months. Other outcomes include complications, use of medications and the need for other surgical treatments post-PAE. Results 63 men underwent PAE for urinary retention and BPH-LUTS between 2013 and 2020. Of these, 7 underwent a unilateral embolisation for aberrant anatomy. The mean prostate volume was 128ml. 61% of men were free from a catheter/CISC post-treatment. 4 patients suffered post-PAE UTI, whilst 3 patients subsequently underwent Transurethral Resection of the Prostate following PAE for failure to become catheter free. 13 men were entirely free from BPH-LUTS medications. Conclusions PAE for catheterised men results in a similar catheter-free rate post procedure to several more invasive BPH treatments. It has a low side-effect profile and gives men with poor health an option to try to become catheter free. PAE should be discussed with men with catheters as a treatment option.