Publications by authors named "Agne Grigonyte"
Introduction: Our previous research demonstrated that CD8+ cell density profiling using a hexagonal grid-based digital image analysis method provides predictors of patient outcomes after liver resection due to hepatocellular carcinoma (HCC). Continuing our study, we have further investigated the applicability of the methodology to patients receiving a liver transplant for HCC.
Methods: The retrospective study enrolled patients with HCC who underwent liver transplantation (LT) at the Vilnius University Hospital Santaros Clinics between 2007 and 2020.
Article Synopsis
- Hepatocellular carcinoma (HCC) frequently develops in patients with chronic liver inflammation, and CD8 lymphocytes play a dual role by both fighting tumors and damaging healthy liver cells.
- The study examined CD8 lymphocyte density at tumor boundaries and surrounding liver tissue using advanced digital image analysis, aiming to assess its prognostic value alongside clinical and surgical data.
- Key findings showed that certain CD8 density patterns and clinical factors were independent predictors of overall survival (OS) and relapse-free survival (RFS), allowing for the development of a combined risk score to categorize patients based on their chances of survival post-surgery.
Background: The study aims to determine the effectiveness of robot-assisted training in the recovery of stroke-affected arms using an exoskeleton robot Armeo Spring.
Objective: To identify the effect of robot training on functional recovery of the arm.
Methods: A total of 34 stroke patients were divided into either an experimental group (EG; n= 17) or a control group (n= 17).