Contrast-enhanced ultrasonography parameters in neural network diagnosis of liver tumors.

@article{Streba2012ContrastenhancedUP,
  title={Contrast-enhanced ultrasonography parameters in neural network diagnosis of liver tumors.},
  author={Costin Teodor Streba and Mihaela Ionescu and Dan Ionuț Gheonea and Larisa Săndulescu and Tudorel Ciurea and Adrian Saftoiu and Cristin Constantin Vere and Ion Rogoveanu},
  journal={World journal of gastroenterology},
  year={2012},
  volume={18 32},
  pages={4427-34}
}
AIM To study the role of time-intensity curve (TIC) analysis parameters in a complex system of neural networks designed to classify liver tumors. METHODS We prospectively included 112 patients with hepatocellular carcinoma (HCC) (n = 41), hypervascular (n = 20) and hypovascular (n = 12) liver metastases, hepatic hemangiomas (n = 16) or focal fatty changes (n = 23) who underwent contrast-enhanced ultrasonography in the Research Center of Gastroenterology and Hepatology, Craiova, Romania. We… CONTINUE READING