Keywords:
Abdomen, Kidney, Computer applications, CT, CT-Angiography, Image manipulation / Reconstruction, Computer Applications-Detection, diagnosis, Contrast agent-intravenous, Diagnostic procedure, Neoplasia, Blood, Cancer
Authors:
A. B. Golbitc, N. Rubtsova, A. Kalpinskiy, E. Kryaneva; Moscow/RU
DOI:
10.26044/ecr2019/C-3076
Aims and objectives
Perfusion computed tomography (CTp) is an imaging technique that provides qualitative and quantitative information regarding tumor angiogenesis [1,2].
It can quantify the real perfusion of tissues by applying mathematical models and dedicated software to calculate the delivery of contrast agent,
and therefore blood,
to tissues [3-4].
CT perfusion protocols depend on the scanning technique and mathematic modeling.
Mathematic models are based on compartmental or deconvolution methods [1].
The analytical methods used (slope method,
two- compartment,
deconvolution,
Patlak plotting) differ between vendor specifications [4-6].
In clinical studies published up to now both of thesemathematic modelsareused for differentiation of histopathological types of renal tumors,
including low- and high-grade clear cell renal cell carcinoma,
for evaluation of response to anti-angiogenic treatment and ablative therapies [3,
7-9,
10-14].
The aim of the study was to determinate methodological features of renal CT perfusion and to optimize the CTp of renal cell carcinoma (RCC).