Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.

Background Screening for nonalcoholic fatty liver disease (NAFLD) is suboptimal due to the subjective interpretation of US images. Purpose To evaluate the agreement and diagnostic performance of radiologists and a deep learning model in grading hepatic steatosis in NAFLD at US, with biopsy as the reference standard. Materials and Methods This retrospective study included patients with NAFLD and control patients without hepatic steatosis who underwent abdominal US and contemporaneous liver biopsy from September 2010 to October 2019. Six readers visually graded steatosis on US images twice, 2 weeks apart. Reader agreement was assessed with use of κ statistics. Three deep learning techniques applied to B-mode US images were used to classify dichotomized steatosis grades. Classification performance of human radiologists and the deep learning model for dichotomized steatosis grades (S0, S1, S2, and S3) was assessed with area under the receiver operating characteristic curve (AUC) on a separate test set. Results The study included 199 patients (mean age, 53 years ± 13 [SD]; 101 men). On the test set (n = 52), radiologists had fair interreader agreement (0.34 [95% CI: 0.31, 0.37]) for classifying steatosis grades S0 versus S1 or higher, while AUCs were between 0.49 and 0.84 for radiologists and 0.85 (95% CI: 0.83, 0.87) for the deep learning model. For S0 or S1 versus S2 or S3, radiologists had fair interreader agreement (0.30 [95% CI: 0.27, 0.33]), while AUCs were between 0.57 and 0.76 for radiologists and 0.73 (95% CI: 0.71, 0.75) for the deep learning model. For S2 or lower versus S3, radiologists had fair interreader agreement (0.37 [95% CI: 0.33, 0.40]), while AUCs were between 0.52 and 0.81 for radiologists and 0.67 (95% CI: 0.64, 0.69) for the deep learning model. Conclusion Deep learning approaches applied to B-mode US images provided comparable performance with human readers for detection and grading of hepatic steatosis. Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Tuthill in this issue.

Cystic fibrosis in the 21st century: what every radiologist should know.

Cystic Fibrosis (CF) is the most common lethal genetic disorder in Caucasian populations, affecting roughly 70,000 individuals worldwide. This autosomal recessive disorder causes a wide spectrum of multisystemic manifestations, most of which are either directly or indirectly related to defective epithelial chloride secretion. The current median life expectancy is 44 years; however, a significant proportion of the CF population now live into the 5th decade and beyond due to advances in treatment. As life expectancy of CF patients increases, there is a newly emerging adult CF population with unique radiological manifestations spanning multiple organ systems, which often require follow-up imaging. The goal of this article is to review the multiple systemic manifestations and complications of CF on different imaging modalities and explore the appropriate radiological follow up recommended.

Human rights-based approach to global surgery: A scoping review.

BACKGROUND: Health is a basic human right, yet surgery remains a neglected stepchild of global health. Worldwide, five billion people lack access to safe, timely, and affordable surgical and anesthesia care when needed. This disparity results in over 18 million preventable deaths each year and is responsible for one-third of the global burden of disease. Here, we evaluate the role of surgical care in protecting human rights and attempt to make a human rights argument for universal access to safe surgical care. MATERIAL AND METHODS: A scoping review was done using the PubMed/MEDLINE, Embase, and Scopus databases to identify articles evaluating human rights and disparities in accessing surgical care globally. A conceptual framework is proposed to implement global surgical interventions with a human rights-based approach. RESULTS: Disparities in accessing surgical care remain prevalent around the world, including but not limited to gender inequality, socioeconomic differentiation, sexual stigmatization, racial and religious disparities, and cultural beliefs. Lack of access to surgery impedes lives in full health and economic prosperity, and thus violates human rights. Our normative framework proposes human rights principles to make surgical policy interventions more inclusive and effective. CONCLUSION: Acknowledging human rights in the provision of surgical care around the world is critical to attain and sustain the Sustainable Development Goals and universal health coverage. National Surgical, Obstetric, and Anesthesia Planning and wider health systems strengthening require the integration of human rights principles in developing and implementing policy interventions to ensure equal and universal access to comprehensive health care services.