Publications by authors named "Zhong-Yan Ma"
Article Synopsis
- The study evaluates how well an AI algorithm, originally designed for conventional CT images, can detect ground-glass nodules on virtual monochromatic images, aiming to find the best energy level for clinical use.
- Researchers analyzed chest CT images from patients with different stages of adenocarcinoma, using a commercial AI system to process various energy levels of virtual images.
- Results showed that while the AI performed well on both images, 80 keV was the most effective energy level for identifying invasive adenocarcinoma, with no significant difference in performance between conventional and virtual images.
Purpose: Abnormally increased epicardial fat appears to be associated with an additional risk of major adverse cardiovascular events (MACEs) in the context of metabolic syndrome (MetS). However, evidence on the relationship between epicardial fat volumes (EFVs), epicardial fat thickness (EFT) and MetS remains inconsistent.
Methods: Specific searches of electronic databases from 1 January 2000 to 31 October 2022 were independently performed by two researchers.
Background: Triacylglycerols (TAGs) are the main composition of plant seed oil. Long-chain acyl-coenzyme A synthetases (LACSs) catalyze the synthesis of long-chain acyl-coenzyme A, which is one of the primary substrates for TAG synthesis. In Arabidopsis, the LACS gene family contains nine members, among which LACS1 and LACS9 have overlapping functions in TAG biosynthesis.
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