Medicine and Health Sciences Commons^™

Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian

Theses and Dissertations (ETD)

Purpose and Rationale. Central nervous system manifestations form a significant burden of disease in young children. There have been efforts to correlate the neurological disease state in tuberous sclerosis complex (TSC) neurological disease state with imaging findings is a standard part of patient care. However, such analysis of neuroimaging is time- and labor-intensive. Automated approaches to these tasks are needed to improve speed, accuracy, and availability. Automated medical image analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis …

Classical Findings Of Infantile Hepatic Hemangiomas, Senayit Demie, Michael Bossak

HCA Healthcare Journal of Medicine

Introduction

Hemangiomas are benign vascular tumors that are common during infancy. They are most commonly noted as superficial bright red lesions on the skin but can also be found deeper as subcutaneous lesions. Patients with multifocal cutaneous hemangiomas are at risk of visceral involvement with the liver being most commonly affected. Most hemangiomas can be monitored clinically as they are self-limiting. Despite this, hepatic hemangiomas can have serious complications including large arteriovenous shunts leading to cardiac compromise as well as severe hepatomegaly which can cause abdominal compartment syndrome, impaired ventilation and renal vein compression.

Clinical Findings

A six-month-old female, born …