Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence

Background: The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest infections suspected to be caused by COVID-19 using chest CT may be of assistance when results from definitive viral testing are delayed.Purpose: To develop and validate an artificial intelligence (AI) system to score the likelihood and extent of pulmonary COVID-19 on chest CT scans using the COVID-19 Reporting and Data System (CO-RADS) and CT severity scoring systems.Materials and Methods: The CO-RADS AI system consists of three deep-learning algorithms that automatically segment the five pulmonary lobes, assign a CO-RADS score for the suspicion of COVID-19, and assign a CT severity score for the degree of parenchymal involvement per lobe. This study retrospectively included patients who underwent a nonenhanced chest CT examination because of clinical suspicion of COVID-19 at two medical centers. The system was trained, validated, and tested with data from one of the centers. Data from the second center served as an external test set. Diagnostic performance and agreement with scores assigned by eight independent observers were measured using receiver operating characteristic analysis, linearly weighted kappa values, and classification accuracy.Results: A total of 105 patients (mean age, 62 years +/- 16 [standard deviation]; 61 men) and 262 patients (mean age, 64 years +/- 16; 154 men) were evaluated in the internal and external test sets, respectively. The system discriminated between patients with COVID-19 and those without COVID-19, with areas under the receiver operating characteristic curve of 0.95 (95% CI: 0.91, 0.98) and 0.88 (95% CI: 0.84, 0.93), for the internal and external test sets, respectively. Agreement with the eight human observers was moderate to substantial, with mean linearly weighted k values of 0.60 +/- 0.01 for CO-RADS scores and 0.54 +/- 0.01 for CT severity scores.Conclusion: With high diagnostic performance, the CO-RADS AI system correctly identified patients with COVID-19 using chest CT scans and assigned standardized CO-RADS and CT severity scores that demonstrated good agreement with findings from eight independent observers and generalized well to external data. (C) RSNA, 2020Cardiovascular Aspects of Radiolog

Produção de pneumotórax em cães e manejo por toracoscopia paraxifóide transdiafragmática Production of pneumothorax in dogs and treatment by transdiaphragmatic paraxiphoid thoracoscopy

O presente estudo foi desenvolvido com o objetivo de avaliar a técnica de toracoscopia paraxifóide transdiafragmática no diagnóstico e no tratamento do pneumotórax produzido experimentalmente em cães. Para tanto, foram utilizados 11 cães que foram submetidos à produção de pneumotórax grave a partir da aplicação de 10mLkg-1 de ar em cada hemitórax até apresentarem descompensação hemodinâmica. Concomitantemente, foram aferidas a correlação entre a pressão venosa central (PVC) e o volume de ar introduzido (mL kg-1), bem como FC, FR, TPC, SpO2 e coloração das mucosas. O pneumotórax foi tratado pela aplicação de dreno torácico por meio de um trocarte inserido no lado direito (seis animais) ou esquerdo (cinco animais) do apêndice xifóide por meio do diafragma. A introdução em volume igual ou superior a 50ml kg-1hemitórax-1 de ar causou descompensação cardiorrespiratória e elevação da PVC acima de 10cm H2O em todos os pacientes. A técnica proposta permitiu apropriado exame da cavidade torácica e aplicação do dreno com efetiva drenagem, sem a ocorrência de complicações trans e pós-operatórias, condição confirmada pela toracoscopia intercostal aos 15 dias de pós-operatório. Conclui-se que o modelo de produção do pneumotórax e a técnica de colocação de dreno proposta para o manejo dessa doença são adequados para cães.<br>The aim of the present study was to assess the use of transdiaphragmatic paraxiphoid thoracoscopy for the diagnosis and treatment of experimentally induced pneumothorax in dogs. Severe pneumothorax was induced in 11 dogs by the insufflation of 10mL kg-1of air into each hemithorax until they became hemodynamically unstable. The correlation between central venous pressure (CVP) and the volume of injected air (mL kg-1) was determined, and was considered too heart rate, respiratory frequency, capillary refill time, oxygen saturation and the color of mucous membranes. Pneumothorax was treated with chest tube drainage with the placement of a trocar into the right side (six dogs) or into the left side (five dogs) of the xiphoid appendix through the diaphragm. The introduction of air volume equal to or greater than 50ml kg-1hemitórax-1 caused cardiorespiratory decompensation and increased the CVP to levels higher than 10cmH2O in all patients. Transdiaphragmatic paraxiphoid thoracoscopy allowed for adequate examination of the chest cavity and for effective drainage without any intraoperative and postoperative complications, as confirmed by intercostal thoracoscopy 15 days after surgery. The method for induction of pneumothorax and the chest tube placement technique proposed for its management are appropriate to be used in dogs