Publications by authors named "Hao-Chen Lin"

Background: Sarcopenia is associated with unfavourable long-term survival in patients undergoing liver transplantation (LT) for hepatocellular carcinoma (HCC). However, the impact of myosteatosis and muscle loss on patient prognosis has not been investigated.

Methods: Seven hundred fifty-six HCC patients who received LT at 3 transplant centres were included.

View Article and Find Full Text PDF

Background: With the rapid development of the internet, the improvement of computer capabilities, and the continuous advancement of algorithms, deep learning has developed rapidly in recent years and has been widely applied in many fields. Previous studies have shown that deep learning has an excellent performance in image processing, and deep learning-based medical image processing may help solve the difficulties faced by traditional medical image processing. This technology has attracted the attention of many scholars in the fields of computer science and medicine.

View Article and Find Full Text PDF

Background: Hybrid fixators with quite different joint design concepts have been widely to suppress adjacent segment degeneration problems. The kinematic and kinetic responses of the adjacent and transition segments and contact behaviors at the bone-screw interfaces served as the objective of this study.

Methods: The moderately degenerated L4/L5 and mildly degenerative L3/L4 segments were respectively immobilized by a static fixator and further bridged by the rod-rod (Isobar) and screw-spacer (Dynesys) fixator.

View Article and Find Full Text PDF
Article Synopsis
  • * The study analyzed 2220 pregnancies, revealing that those with moderate-to-severe PH had significantly higher risks for maternal mortality and complications compared to those with mild PH or no PH at all.
  • * Key findings included that women with mild PH had better outcomes, while factors like high brain natriuretic peptide levels and worse heart function increased risks for adverse events; multidisciplinary care improved outcomes.
View Article and Find Full Text PDF

Objective: To investigate the image quality of ultralow-dose CT (ULDCT) of the chest reconstructed using a cycle-consistent generative adversarial network (CycleGAN)-based deep learning method in the evaluation of pulmonary tuberculosis.

Materials And Methods: Between June 2019 and November 2019, 103 patients (mean age, 40.8 ± 13.

View Article and Find Full Text PDF

Aim: To investigate the association between thrombocytopenia and relapse after treatment for hepatocellular carcinoma (HCC).

Methods: We searched the PubMed, EMBASE, and Web of Science databases to obtain eligible studies. The hazard ratios (HRs) values and 95% confidence intervals (CIs) were pooled by random effects model.

View Article and Find Full Text PDF

Aim: To determine the role of the fecal immunochemical test (FIT), used to evaluate fecal hemoglobin concentration, in the prediction of histological grade and risk of colorectal tumors.

Methods: We enrolled 17881 individuals who attended the two-step colorectal cancer screening program in a single hospital between January 2010 and October 2011. Colonoscopy was recommended to the participants with an FIT of ≥ 12 ngHb/mL buffer.

View Article and Find Full Text PDF