Publications by authors named "Aymen Sadraoui"
Am J Pathol
September 2024
Article Synopsis
- Liver resection is effective for small hepatocellular carcinoma, but many patients face recurrence, making it important to identify those at a higher risk.
- A new deep learning algorithm using ResNet34 analyzed 680 whole slide images of liver specimens, achieving high accuracy (0.864 for patches, 0.823 for whole slides) in identifying risk indicators associated with HCC recurrence.
- Validated on an external dataset, the model showed promise in predicting recurrence by correlating pejorative architectural features with critical histological indicators like microvascular invasion, potentially paving the way for a comprehensive predictive tool for early post-resection recurrence.
