Journal of the Chinese Medical Association : JCMA
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The prevalence of nonalcoholic fatty liver disease is increasing over time worldwide, with similar trends to those of diabetes and obesity. A liver biopsy, the gold standard of diagnosis, is not favored due to its invasiveness. Meanwhile, noninvasive evaluation methods of fatty liver are still either very expensive or demonstrate poor diagnostic performances, thus, limiting their applications. We developed neural network-based models to assess fatty liver and classify the severity using B-mode ultrasound (US) images. ⋯ Our deep learning models achieved comparable predictive performances to the most accurate, yet expensive, noninvasive diagnostic methods for fatty liver. Because of the discriminative ability, including for mild steatosis, significant impacts on clinical applications for fatty liver are expected. However, we need to overcome machine-dependent variation, motion artifacts, lacking of second confirmation from any other tools, and hospital-dependent regional bias.
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The goal of this study was to investigate the prognostic factors for locoregional recurrence and metastasis in patients with cutaneous melanoma (CM) who underwent surgery, especially in the acral lentiginous melanoma (ALM) subtype. ⋯ In this cohort, factors influencing locoregional recurrence and distant metastasis were similar between the ALM and non-ALM groups. The above-recommended surgical margin did not show any benefit in either the CM or the ALM subtype. ALM can be handled using the same surgical strategy as CM in the Asian population.