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Role of Imaging and Modelling in Tumoral Liver Blood Flow Assessment.

Domenii publicaţii > Ştiinţe medicale + Tipuri publicaţii > Articol în revistã ştiinţificã

Autori: Pop T, Mosteanu O, Badea R, Lupsor M, Tripon S, Raica P, Manisor M, Miclea L.

Editorial: Acta Electrotehnica, 48(4), p.223-227, 2007.


Improved therapeutic options for hepatocellular carcinoma and metastatic disease place greater demands on diagnostic and surveillance tests for liver disease. Existing diagnostic imaging techniques provide limited evaluation of tissue characteristics beyond morphology; perfusion imaging of the liver has potential to improve this shortcoming. The ability to resolve hepatic arterial and portal venous components of blood flow on a global and regional basis constitutes the primary goal of liver perfusion imaging. As liver cirrhosis progresses, the portal venous blood (PVBF) flow decreases, accompanied by an increase in hepatic arterial blood flow. Large hepatocellular carcinoma is a hypervascular tumour with a rapid growth, which seems to require an increase of the tumoral arterial blood flow. Furthermore, hepatocellular carcinoma is frequently associated with portal vein thrombosis, which subsequently impedes portal blood supply. Earlier detection of primary and metastatic hepatic malignancies and cirrhosis may be possible on the basis of relative increases in hepatic arterial blood flow associated with these diseases. To date, liver flow scintigraphy and flow quantification at Doppler ultrasonography have focused on characterization of global abnormalities. Computed tomography (CT) and magnetic resonance (MR) imaging can provide regional and global parameters, a critical goal for tumor surveillance. Several challenges remain: reduced radiation doses associated with CT perfusion imaging, improved spatial and temporal resolution at MR imaging, accurate quantification of tissue contrast material at MR imaging, and validation of parameters obtained from fitting enhancement curves to biokinetic models, applicable to all perfusion methods. Mathematical models might be used to investigate promising US techniques for an in vivo, non-invasive, globally quantification of tumoral morphological and functional changes.

Cuvinte cheie: hepatocellular carcinoma, imaging techniques, modelling