Minireviews
Copyright ©The Author(s) 2023.
World J Gastroenterol. Jan 21, 2023; 29(3): 521-535
Published online Jan 21, 2023. doi: 10.3748/wjg.v29.i3.521
Table 1 Main quantitative parameters extracted from perfusion computed tomography and magnetic resonance imaging imaging techniques to predict treatment response in patients with colorectal liver metastasis
Parameter name
Parameter definition
Parameter significance
Transfer constant (Ktrans)Rate of contrast extraction from the blood to the interstitiumIt reflects the balance between capillary permeability and BF in a tissue
Tissue interstitial volume (Ve)Volume of extravascular and extracellular contrast agent in a certain tissue, expressed as a percentageIt is a measure of cell density
Rate contrast (Kep)Rate at which the contrast agent returns from the extravascular-extracellular space to the vascular compartment (Kep = Ktrans/Ve)It reflects the tissue microcirculation and contrast agent permeability
Regional BFBF per unit volume or mass of tissue (mL of blood/min/100 mL of tissue)It expresses the rate of the delivery of nutrients and oxygen to a certain tissue
Table 2 Main quantitative parameters extracted from the 18-fluorodexoyglucose positron emission tomography used in the prediction of treatment response in patients with colorectal liver metastasis
Parameter name
Parameter definition
SUVmaxUptake value of the pixel with the highest activity inside an ROI divided by the injected dose, which must be corrected for decay and normalised to the patient’s weight or body surface
SUVmeanAverage of all the uptake values of the pixels within an ROI
MTVVolume of tumour tissues included in a tridimensional ROI with pathological FDG uptake via threshold represented by a settled absolute value or percentage of the SUVmax or SUVmean
It includes both volumetric data and metabolic activity of the tumour
TLGThe product of multiplying SUVmean by MTV
SAMA marker of total lesion glycolysis, calculated by drawing a volume of interest [VOI(1)] around the tumour and a larger VOI [VOI(2)] around VOI(1)
SAM = Total SUV VOI1 − (mean BG × volume VOI1)
Mean BG (background activity) = (total SUV VOI2 − total SUV VOI1)/(volume VOI2 − volume VOI1)