Faculty Bibliography

We report a case of Streptococcus mutans multivalvular infective endocarditis complicated by aortic root abscess and septic emboli in a 19-year-old male with a bicuspid aortic valve. This case illustrates the progression of untreated subacute bacterial endocarditis and highlights the importance of ongoing clinical suspicion for infective endocarditis in patients with underlying valvular defects.

Tricuspid atresia with an absent pulmonary valve is a rare congenital cardiac defect. Although extensive pathological reviews have been published in the past, there are only a handful of cases that have been successfully palliated to the stage of Fontan. We hereby describe the successful management of one such case and review the surgical strategies described in the literature.

We present the case of a 4-month-old, former 23-week premature baby who underwent patent ductus arteriosus device closure in the cardiac catheterisation lab with an Amplatzer Piccoloâ„¢ device at 12 weeks of life. This was complicated by late migration of the device into the aorta resulting in severe obstruction and requiring surgical intervention.

Background/UNASSIGNED:Giant mediastinal tumors in the pediatric population can pose unique challenges for resection such as cardiovascular collapse on induction of anesthesia and injury to surrounding structures that may be compressed, displaced, or invaded by the mass. Principles that must be borne in mind during removal of giant mediastinal masses include: appropriate cross-sectional imaging to define extent of mass; airway control during induction of anesthesia; a multidisciplinary collaborative approach including cardiothoracic surgery; preparation for urgent sternotomy; plan for peripheral cannulation to institute cardiopulmonary bypass if needed; preservation of neurovasculature structures during dissection; complete resection whenever possible. While complete resection is desirable and results in an excellent prognosis, it may not be achievable especially if the tumor encases coronary arteries, and it is acceptable to leave small amounts of tumor behind. Case Description/UNASSIGNED:Here we present a case describing surgical management of a giant mediastinal teratoma in a two-month-old female. The patient was found to have a large mediastinal mass during workup for cough and noisy breathing. She underwent preoperative echocardiogram demonstrating normal cardiac function followed by uncomplicated, open resection of the mass. Conclusions/UNASSIGNED:Giant mediastinal tumors give rise to unique challenges for resection in small infants. The principles of airway control, preparation for urgent sternotomy, preparation for peripheral cardiopulmonary bypass cannulation, and preservation of neurovasculature during dissection must be borne in mind.

OBJECTIVES:Ground-glass opacity (GGO)-a hazy, gray appearing density on computed tomography (CT) of lungs-is one of the hallmark features of SARS-CoV-2 in COVID-19 patients. This AI-driven study is focused on segmentation, morphology, and distribution patterns of GGOs. METHOD:We use an AI-driven unsupervised machine learning approach called PointNet++ to detect and quantify GGOs in CT scans of COVID-19 patients and to assess the severity of the disease. We have conducted our study on the "MosMedData", which contains CT lung scans of 1110 patients with or without COVID-19 infections. We quantify the morphologies of GGOs using Minkowski tensors and compute the abnormality score of individual regions of segmented lung and GGOs. RESULTS:PointNet++ detects GGOs with the highest evaluation accuracy (98%), average class accuracy (95%), and intersection over union (92%) using only a fraction of 3D data. On average, the shapes of GGOs in the COVID-19 datasets deviate from sphericity by 15% and anisotropies in GGOs are dominated by dipole and hexapole components. These anisotropies may help to quantitatively delineate GGOs of COVID-19 from other lung diseases. CONCLUSION:The PointNet++ and the Minkowski tensor based morphological approach together with abnormality analysis will provide radiologists and clinicians with a valuable set of tools when interpreting CT lung scans of COVID-19 patients. Implementation would be particularly useful in countries severely devastated by COVID-19 such as India, where the number of cases has outstripped available resources creating delays or even breakdowns in patient care. This AI-driven approach synthesizes both the unique GGO distribution pattern and severity of the disease to allow for more efficient diagnosis, triaging and conservation of limited resources.