Possibilities of differentiation of solitary focal liver lesions by computed tomography perfusion

Med Glas (Zenica). 2015 Aug;12(2):144-50. doi: 10.17392/822-15.

Abstract

Aim: To evaluate possibilities of computed tomography (CT) perfusion in differentiation of solitary focal liver lesions based on their characteristic vascularization through perfusion parameters analysis.

Methods: Prospective study was conducted on 50 patients in the period 2009-2012. Patients were divided in two groups: benign and malignant lesions. The following CT perfusion parameters were analyzed: blood flow (BF), blood volume (BV), mean transit time (MTT), capillary permeability surface area product (PS), hepatic arterial fraction (HAF), and impulse residual function (IRF). During the study another perfusion parameter was analyzed: hepatic perfusion index (HPI). All patients were examined on Multidetector 64-slice CT machine (GE) with application of perfusion protocol for liver with i.v. administration of contrast agent.

Results: In both groups an increase of vascularization and arterial blood flow was noticed, but there was no significant statistical difference between any of 6 analyzed parameters. Hepatic perfusion index values were increased in all lesions in comparison with normal liver parenchyma.

Conclusion: Computed tomography perfusion in our study did not allow differentiation of benign and malignant liver lesions based on analysis of functional perfusion parameters. Hepatic perfusion index should be investigated in further studies as a parameter for detection of possible presence of micro-metastases in visually homogeneous liver in cases with no lesions found during standard CT protocol.

Keywords: CT protocol; contrast media; hepatic perfusion index.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Female
  • Humans
  • Liver Diseases / diagnostic imaging*
  • Liver Neoplasms / blood supply
  • Liver Neoplasms / diagnostic imaging
  • Male
  • Middle Aged
  • Multidetector Computed Tomography
  • Prospective Studies
  • Tomography, X-Ray Computed*