Chest X-rays (CXRs) are the first-line investigation in patients presenting to emergency departments (EDs) with dyspnoea and are a valuable adjunct to clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to facilitate rapid triage of CXRs for further patient testing and/or isolation. In this work we develop an AI algorithm, CovIx, to differentiate normal, abnormal, non-COVID-19 pneumonia, and COVID-19 CXRs using a multicentre cohort of 293,143 CXRs. The algorithm is prospectively validated in 3289 CXRs acquired from patients presenting to ED with symptoms of COVID-19 across four sites in NHS Greater Glasgow and Clyde. CovIx achieves area under receiver operating characteristic curve for COVID-19 of 0.86, with sensitivity and F1-score up to 0.83 and 0.71 respectively, and performs on-par with four board-certified radiologists. AI-based algorithms can identify CXRs with COVID-19 associated pneumonia, as well as distinguish non-COVID pneumonias in symptomatic patients presenting to ED. Pre-trained models and inference scripts are freely available at https://github.com/beringresearch/bravecx-covid.
Objectives: The purpose of this article is to review the technical and radiological aspects of MagSeed® localisation, to assess its accuracy based on post-localisation mammograms and excision specimen X-rays and to discuss the radiological experience of our institutions. Methods: Two-year data were collected retrospectively from three NHS boards from the West of Scotland. A total of 309 MagSeeds® were inserted under mammographic or ultrasonographic guidance in 300 women with unifocal, multifocal and/or bilateral breast lesions at the day of surgery or up to 30 days prior to it. Radiological review of post-localisation mammograms and intraoperative specimen X-rays as well as a review of the surgical outcomes were performed to assess the accuracy and efficacy of the method. Our experience relating to the technique’s strengths and downsides were also noted. Results: The MagSeeds® were inserted on average 7.2 days before surgery. The localisation technique was straight forward for the radiologists. In 99% of the cases, the MagSeed® was successfully deployed and 100% of the successfully localised lesions were excised at surgery. There was no difference in the accuracy of the localisation whether this was mammographically or ultrasonographically guided. On post-localisation mammograms, the MagSeed® was radiologically accurately positioned in 97.3% of the cases. No delayed MagSeed® migration was observed. On the specimen X-rays, the lesion was centrally positioned in 45.1%, eccentric within more than 1 mm from the margin in 35.7% and in 14.8% it was at the specimen’s margin. The re-excision rate was 18.3%. Conclusion: The MagSeed® is an accurate and reliable localisation method in breast conserving surgery with good surgical outcomes. Advances in knowledge: To our knowledge, the radiological aspects of MagSeed® localisation have not been widely described in peer-reviewed journals thus far.
Background Post-COVID-19 syndromes have associated with female sex, but the pathophysiological basis is uncertain. Aim There are sex differences in myocardial inflammation identified using cardiac magnetic resonance (CMR) in post-COVID-19 patients, and in patient reported health outcomes following COVID-19 infection. Design This prospective study investigated the time-course of multiorgan injury in survivors of COVID-19 during convalescence. Methods Clinical information, blood biomarkers, and patient reported outcome measures were prospectively acquired at enrolment (visit 1) and 28–60 days post-discharge (visit 2). Chest computed tomography (CT) and CMR were performed at visit 2. Follow-up was carried out for serious adverse events, including death and rehospitalization. Results Sixty-nine (43%) of 159 patients recruited were female. During the index admission, females had a lower peak C-reactive protein (74 mg/l (21,163) versus 123 mg/l (70, 192) p = 0.008) and peak ferritin (229 μg/l (103, 551) versus 514 μg/l (228, 1122) p < 0.001). Using the Modified Lake-Louise criteria, females were more likely to have definite evidence of myocardial inflammation (54% (37/68) versus 33% (30/90) p = 0.003). At enrolment and 28–60 days post-discharge, enhanced illness perception, higher levels of anxiety and depression and lower predicted maximal oxygen utilization occurred more commonly in women. The mean (SD, range) duration of follow-up after hospital discharge was 450 (88) days (range 290, 627 days). Compared to men, women had lower rates of cardiovascular hospitalization (0% versus 8% (7/90); p = 0.018). Conclusions Women demonstrated worse patient reported outcome measures at index admission and 28–60 days follow-up though cardiovascular hospitalization was lower.
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