DEEP MOVEMENT: Deep learning of movie files for management of endovascular thrombectomy.

OBJECTIVES: Treatment and outcomes of acute stroke have been revolutionised by mechanical thrombectomy. Deep learning has shown great promise in diagnostics but applications in video and interventional radiology lag behind. We aimed to develop a model that takes as input digital subtraction angiography (DSA) videos and classifies the video according to (1) the presence of large vessel occlusion (LVO), (2) the location of the occlusion, and (3) the efficacy of reperfusion. METHODS: All patients who underwent DSA for anterior circulation acute ischaemic stroke between 2012 and 2019 were included. Consecutive normal studies were included to balance classes. An external validation (EV) dataset was collected from another institution. The trained model was also used on DSA videos post mechanical thrombectomy to assess thrombectomy efficacy. RESULTS: In total, 1024 videos comprising 287 patients were included (44 for EV). Occlusion identification was achieved with 100% sensitivity and 91.67% specificity (EV 91.30% and 81.82%). Accuracy of location classification was 71% for ICA, 84% for M1, and 78% for M2 occlusions (EV 73, 25, and 50%). For post-thrombectomy DSA (n = 194), the model identified successful reperfusion with 100%, 88%, and 35% for ICA, M1, and M2 occlusion (EV 89, 88, and 60%). The model could also perform classification of post-intervention videos as mTICI < 3 with an AUC of 0.71. CONCLUSIONS: Our model can successfully identify normal DSA studies from those with LVO and classify thrombectomy outcome and solve a clinical radiology problem with two temporal elements (dynamic video and pre and post intervention). KEY POINTS: • DEEP MOVEMENT represents a novel application of a model applied to acute stroke imaging to handle two types of temporal complexity, dynamic video and pre and post intervention. • The model takes as an input digital subtraction angiograms of the anterior cerebral circulation and classifies according to (1) the presence or absence of large vessel occlusion, (2) the location of the occlusion, and (3) the efficacy of thrombectomy. • Potential clinical utility lies in providing decision support via rapid interpretation (pre thrombectomy) and automated objective gradation of thrombectomy outcomes (post thrombectomy).

Patient Perception of Medical Student Professionalism: Does Attire Matter?

INTRODUCTION: Patient compliance and outcomes have been shown to be influenced by the quality of the doctor-patient relationship. In addition, the effect of physician attire on the patient's perception of the physician has been long appreciated. Data shows that professional attire is preferred by patients. Whereas treating physicians are the backbone of patient management, medical students are often a patient's first encounter in a teaching clinic. Patient perception of the student may impact their rating of the attending physician. Despite this, medical students are often dressed wearing scrubs in surgery clinic. The purpose of this study was to determine if patient perception of medical students would be affected by the students' attire. METHODS: A 7-item, validated professionalism scale was used to survey surgery clinic patients whose initial examinations were performed by a medical student. Students were blinded and randomly assigned to wear professional attire versus scrubs. Patients' responses of 'strongly agree' were compared to lower ratings for each item. RESULTS: One hundred twenty-three patients completed our survey, 63 (51.2%) wearing scrubs and 60 (48.8%) in professional attire. The average age was 49.7 ± 15.8 years. In the professional attire group, there was no significant association for any of the 7 items. However, in the scrubs group, all 7 items were significant such that a higher proportion of patients under the age of 60 rated medical students wearing scrubs higher than did patients aged 60 and above. CONCLUSION: Students in scrubs were perceived to be less knowledgeable, competent, and professional by older patients. In contrast, younger patients seemed unaffected by the dress of medical students in clinic. Older patients may judge the medical community's growing acceptance of more casual attire in the workplace as less professional, potentially affecting patient satisfaction. Surgical educators should require a standard of professional attire for students in clinic.

Ivemark syndrome: bronchial compression from anomalous pulmonary venous anatomy.

Ivemark syndrome is a heterotaxy syndrome which affects multiple organs and affects roughly 1 in every 6000 deliveries. Specifically, it can cause total anomalous pulmonary venous return and cardiac defects, which ultimately lead to decreased life expectancy. In order to better understand the nature of cardiac structures, CT angiogram has been heavily relied upon as it also allows for 3D reconstruction and optimal visualization of those features. This specific case presents with an anomalous venous return accompanied by multi-organ right isomerism that was reconstructed with 3D CT angiogram to better visualize and understand the cardiopulmonary system, as well as contribute to a fund of knowledge in hopes of discovering a solution to this condition.