Abstract Archives of the RSNA, 2009
LL-GU4129-H06
Perfusion CT Characterization of Renal Masses with a 64 Slice Spiral Computed Tomography
Scientific Posters
Presented on December 1, 2009
Presented as part of LL-GU-H: Genitourinary
Abhishek Mahajan MD, Presenter: Nothing to Disclose
V.R.K. Rao MD, Abstract Co-Author: Nothing to Disclose
To investigate the perfusion characteristics of renal mass parenchyma and renal cortex in affected and normal kidney on 64-slice CT.
Compare the perfusion parameters in normal renal parenchyma and mass lesions.
Totally 34 patients with renal mass were enrolled. 64-slice spiral CT was used for renal perfusion scan that began with a contrast bolus injection of 50ml (300mgI/ml) at a rate of 5ml/s. Surgical and pathological outcomes were collected for comparison. Perfusion characteristics, Blood flow (BF), blood volume (BV), Time to peak (TTP), peak enhanced index (PEI) and mean transit time (MTT) were calculated and colored maps of renal mass parenchyma and renal cortex in affected and normal kidney were created using software.
Except for MTT & TTP, which was statistically(p<0.05) lower in malignant lesions (mostly RCC), all CTP parameter values (BF, PEI & BV) of the malignant lesions were significantly(P<0.05) higher in malignant lesions when compared with the normal parenchyma. When compared to normal parenchyma, benign lesions (mostly complex cysts) showed higher BF and BV but were not statistically significant(p>0.05). MTT and TTP values in benign lesions were comparable to that of normal parenchyma. The ratios of BF, BV, MTT, PEI & TTP parameters between malignant and benign lesions were statistically significant (p<0.05). No statistical differences were found between the malignant histological types regarding the CTP parameters(p> 0.05). BF, PEI & BV of stage T4 tumors were significantly lower and MTT & TTP were higher than those of stage T1 tumors(p< 0.05), however no statistically significant differences was seen between rest of the stages of tumors(p> 0.05).
Perfusion CT Imaging with the routine CT, in addition to morphologic information, can provide tissue perfusion data, which can be used for the diagnosis, the prognosis, and the treatment of diseases.
Recently imaging techniques proved to be suited for studying tissue perfusion, and improving our capacities to detect, characterize, and treat diseases.
Mahajan, A,
Rao, V,
Perfusion CT Characterization of Renal Masses with a 64 Slice Spiral Computed Tomography. Radiological Society of North America 2009 Scientific Assembly and Annual Meeting, November 29 - December 4, 2009 ,Chicago IL.
http://archive.rsna.org/2009/8000896.html