ABSTRACT
Purpose To analyze the perfusion differences of different pancreatic diseases using the low-dose whole organ dynamic volume CT perfusion imaging, and to provide the evidence for the clinical application. Materials and Methods Twenty-eight patients suspected as pancreatic disease were applied by 640 layer volume CT perfusion imaging for the pancreas. Data were collected at the same time of bolus injection of contrast agent, then were analyzed by spatial alignment and perfusion calculation using the perfusion software. The time-density curve, blood perfusion flow diagram and tissue artery blood flow were obtained using the maximum slope method. Results Normal pancreatic tissue (n=9) blood flow was (117.04±12.05) ml/(min?100 ml), pancreatitis organizations (6 cases with acute pancreatitis and 3 cases with chronic pancreatitis) (118.67±37.18) ml/(min?100 ml), pancreatic carcinoma tissue (n=10) was (67.16±18.94) ml/(min?100 ml). There was significant difference among three groups (F=8.59, P0.05). The total dose of X-rays in the whole scanning process was 21.5-23.9 mSv. Conclusion Low-dose whole pancreas organ CT perfusion scan can quantitatively analyze the hemodynamic changes in pancreatic disease, which be of great value for evaluating changes in microcirculation during the treatment of pancreatic cancer.
ABSTRACT
Purpose To explore the diagnostic value of double exponential model for pelvic lesions using 3.0T MRI for the diagnosis of pelvic lesion. Materials and Methods Fifty patients with pelvic lesions (30 benign cases and 20 malignant cases) underwent MR750-diffusion weighted imaging (DWI) scans, with b values of 0, 50, 300, 600, 800 and 1200 s/mm2, Functool-MADC software was used on AW 451 workstations for data processing, Slow ADC value, Fast ADC value, Standard ADC value, Fraction of fast ADC value were recorded and compared between benign and malignant lesions, and Standard ADC images were fused with axial T2 fat-suppressed images. Results Slow ADC values [(1.83±0.86)×10-3 mm2/s] and Standard ADC values [(1.79±0.78)×10-3 mm2/s] of benign lesions were larger than those of the malignant lesions [Slow ADC values:(1.05±0.31)×10-3 mm2/s;Standard ADC values:(1.13±0.39)×10-3 mm2/s] (t=3.90, 3.51;P<0.01), and the difference of Slow ADC value was largest between benign and malignant lesions. Slow ADC values of both benign and malignant lesions were significantly less than the Fast ADC values [benign:Slow ADC value=(1.83±0.86)×10-3 mm2/s, Fast ADC value=(16.95±8.63)×10-3 mm2/s; malignant: Slow ADC value=(1.05±0.31)×10-3 mm2/s, Fast ADC value=(15.12±9.90)×10-3 mm2/s] (t=-10.40,-6.29;P<0.01). Conclusion Double exponential decay model is capable of differentiating benign and malignant pelvic tumors, thus is of great significance for clinical preoperative diagnosis.