Objective To review the principles and techniques of CT perfusion imaging and its applications in the imaging diagnosis of abdominal disorders. Methods All the relevant literatures were reviewed. The principles and techniques of CT perfusion imaging were described and summarized in detail. The functional information of a target abdominal organ (e.g. the liver and pancreas) revealed by CT perfusion imaging, such as hemodynamics and microcirculation status, was also evaluated. Results In addition to the morphologic information, CT perfusion imaging can also provide functional information about the circulation parameters of target abdominal organs. Moreover, such functional information can be generated for the neovasculature and microcirculation of tumor lesions of abdominal organs, which is very helpful for not only the diagnosis, but also the evaluation of tumor invasiveness and response to treatment. Conclusion CT perfusion imaging offers an effective method for studying abdominal disorders by providing functional information that is quite useful for the differential diagnosis and assessment of therapeutic response.
ObjectiveTo research on the effect of nursing intervention on CT scanning success rate and image quality in head CT perfusion imaging for cerebral ischemia patients. MethodBetween June 2013 and July 2014, we retrospectively analyzed the clinical data of 203 patients who underwent CT perfusion imaging for cerebral ischemia. All the patients received nursing intervention including the following aspects:body position, psychology, sedation, leakage of contrast medium, allergic reaction, etc. ResultsA total of 199 patients successfully underwent the examination, among whom there were 190 (93.6%) satisfactory and 9 (4.5%) qualified results. The other four patients (1.9%) stopped examination because of motion artifacts. So the success rate came to 98.1%, and the failure rate was 1.9%. ConclusionsWith nursing intervention before, during and after CT scanning, patients with acute cerebral ischemia can accept higher success rate in examining and satisfactory image quality. At the same time, the nursing service was also improved.
ObjectiveTo investigate the clinical value of multi-slice spiral CT perfusion imaging for blood supply of pulmonary mixed ground-glass nodules (mGGN). MethodsThe mGGN patients were retrospectively analyzed from March 2011 to May 2015 in Affiliated Hospital of Hebei University of Engineering, Handan First Hospital and Xingtai People's Hospital. Multi-slice spiral CT perfusion imaging for blood supply was applied to evaluate the blood supply of solid lesions in mGGN, and the diagnostic values of CT perfusion parameters were compared for differentiating the benigh mGGN from the malignant mGGN. ResultsTotally 97 mGGN patients were enrolled in this study, in which 80 were malignant mGGN and 17 were benigh mGGN. Blood volume (BV), peak enhancement image (PEI) and permeability surface (PS) in malignant mGGN lesions were higher than those of benign lesions, while the time to peak was less than that of benign lesions, and the differences were all statistically significant (P < 0.05). BV, PEI and PS in minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC) patients were significantly higher than those in the patients with precancerous lesions (P < 0.05). BV and PS in IAC patients were significantly higher than those in MIA patients (P < 0.05). Logistic regression analysis showed that IAC, MIA and the precancerous lesions, BV, PEI and PS were positively correlated with mGGN. Receiver operating characteristic (ROC) curve showed that the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy rates with BV+PS+PEI combined, were 95.28%, 86.65%, 91.10%, 87.52% and 91.76%, respectively, while the area under ROC curve was significantly higher than those with single parameter (P < 0.05). ConclusionMulti-slice spiral CT perfusion imaging can evaluate the blood supply of mGGN, and BV+PS+PEI combined can be used in differentiation of the benigh and malignant mGGN.