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Timeliness of splenic time-to-peak affects liver tumor CT perfusion measurements
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Abstract
Aim
In liver CT perfusion, the dual-input maximum slope (DI-MS) method is commonly used to estimate perfusion to aid diagnosis of tumors. The DI-MS method relies on a model that assumes the splenic time-to-peak (TTP) separates arterial and portal venous perfusion, and occurs prior to venous perfusion. In this preclinical study, we examined how the timeliness of splenic TTP affects DI-MS perfusion calculations of liver tumors.
Materials and Methods
We analyzed imaging data obtained from 11 New Zealand White rabbits bearing a single implanted VX2 tumor in liver. A liver 320-slice CT perfusion protocol (5,400 images per study) was used to generate images. Times for arterial and portal slopes were recorded, and hepatic arterial perfusion (HAP), portal perfusion (HPP) and perfusion index (HPI) for liver and tumor were separately calculated using manual and automated methods. T-test comparisons and Bland-Altman plot analyses were performed.
Results
Mean tumor TTP occurred at 9.79 s (SD=3.41) and splenic TTP at 9.75 s (SD=4.47, p=0.98). In 3/11 (27.27%) cases, tumor SP occurred prior to spleen (mean difference=1.33 s, SD=1.15 s). In these cases, mean automated HPP values were 43.8% (SD=52.48) higher compared to manually computed ones. There were statistically significant differences between automated and manual methods for normal liver and tumor HPI and HPP (p<0.01 and p<0.0001, respectively), but not HAP values (p=0.125 and p=0.78, respectively). There was also a statistically significant variation between methods for tumor HPP and HPI (p=0.001, respectively).
Conclusion
In 320-slice CT perfusion of liver in this preclinical model, we observed that tumor TTP occurred prior to splenic TTP in 27.27% of tumors in liver. This temporal relationship affects tumor perfusion calculations and should be identified to address potential deviations of model assumptions.
Research Square Platform LLC
Title: Timeliness of splenic time-to-peak affects liver tumor CT perfusion measurements
Description:
Abstract
Aim
In liver CT perfusion, the dual-input maximum slope (DI-MS) method is commonly used to estimate perfusion to aid diagnosis of tumors.
The DI-MS method relies on a model that assumes the splenic time-to-peak (TTP) separates arterial and portal venous perfusion, and occurs prior to venous perfusion.
In this preclinical study, we examined how the timeliness of splenic TTP affects DI-MS perfusion calculations of liver tumors.
Materials and Methods
We analyzed imaging data obtained from 11 New Zealand White rabbits bearing a single implanted VX2 tumor in liver.
A liver 320-slice CT perfusion protocol (5,400 images per study) was used to generate images.
Times for arterial and portal slopes were recorded, and hepatic arterial perfusion (HAP), portal perfusion (HPP) and perfusion index (HPI) for liver and tumor were separately calculated using manual and automated methods.
T-test comparisons and Bland-Altman plot analyses were performed.
Results
Mean tumor TTP occurred at 9.
79 s (SD=3.
41) and splenic TTP at 9.
75 s (SD=4.
47, p=0.
98).
In 3/11 (27.
27%) cases, tumor SP occurred prior to spleen (mean difference=1.
33 s, SD=1.
15 s).
In these cases, mean automated HPP values were 43.
8% (SD=52.
48) higher compared to manually computed ones.
There were statistically significant differences between automated and manual methods for normal liver and tumor HPI and HPP (p<0.
01 and p<0.
0001, respectively), but not HAP values (p=0.
125 and p=0.
78, respectively).
There was also a statistically significant variation between methods for tumor HPP and HPI (p=0.
001, respectively).
Conclusion
In 320-slice CT perfusion of liver in this preclinical model, we observed that tumor TTP occurred prior to splenic TTP in 27.
27% of tumors in liver.
This temporal relationship affects tumor perfusion calculations and should be identified to address potential deviations of model assumptions.
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