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Showing 4 results for Perfusion Imaging
S. Farzanefar, A. Mirzabeigi, M. Abbasi,
Volume 14, Issue 1 (1-2016)
Abstract
A discrete MIBI avid lung lesion was found in cinematic views of myocardial perfusion imaging (MPI) of a 59 year-old woman. Interestingly, the abnormal uptake in the lung was detectable only in the rest phase images and not in the images acquired in the stress phase. MPI was performed for pre-operation cardiac risk assessment before correction surgery for spinal canal stenosis. She had no past medical history or symptoms concerning pulmonary problems. The clinical examination of the pulmonary system was normal. MPI was reported normal but for the lung lesion she was sent for consultation with pulmonologist. The pulmonologist diagnosed the lesion was an old inflammatory/infective lesion probably secondary to tuberculosis. No histopathological examination was done. By reporting this case we intended to highlight the possibility of the effect of stress on uptake of MIBI in tumoral lesions as a tumor agent in nuclear medicine.
X. Liu , Md, C. Shen,
Volume 17, Issue 4 (10-2019)
Abstract
Background: The aim of this present study was to evaluate the relationship between perfusion characteristics of ovarian tumors and tumor angiogenesis using contrast-enhanced ultrasound imaging. Materials and Methods: Dose 116 patients with ovarian tumors were preoperatively subjected to contrast-enhanced perfusion imaging. Immunohistochemistry was performed to detect the expression of vascular endothelial growth factor (VEGF) and CD34 in ovarian tumors. The correlation between the VEGF positive index, microvessel density (MVD) of ovarian tumors and ultrasound perfusion parameters was investigated. We also established a nude mouse ovarian cancer SKOV3 xenograft model; the expression of VEGF and MVD in the transplanted tumor was observed, and their correlation with the ultrasound perfusion parameters was studied. Results: The MVD and VEGF positive indexes of ovarian tumors were positively correlated with the peak intensity (PI), area under the curve (AUC) and time from peak to one half (TTH) of the ultrasound perfusion parameters. The correlation coefficients between MVD and the PI, AUC and TTH were 0.69, 0.71 and 0.59, respectively, while the correlation coefficients between the VEGF positive index and the PI, AUC and TTH were 0.71, 0.65 and 0.68, respectively. Moreover, there were significant differences in the PI, AUC and TTH between the high-MVD and low-MVD groups (P<0.05). Furthermore, the same trend was found in the xenograft model. Conclusion: the ultrasound perfusion parameters PI, AUC and TTH of ovarian tumors were positively correlated with the tumor MVD and VEGF positive index, which reflects the angiogenesis status of ovarian tumors and provides important information for the diagnosis and treatment of ovarian tumors.
B. Sun, Ph.d., Z. Wang,
Volume 22, Issue 1 (1-2024)
Abstract
Background: To clarify the value of computed tomography (CT) perfusion (CTP) imaging in diagnosing early cerebral infarction (CI). Materials and Methods: Totally 100 suspected early CI patients in our hospital from May 2019 to May 2022 were selected and divided into observation and control groups based on examination methods, with 50 patients per group. In control group, patients received plain scanning through 64 row multi-slice spiral CT. On this basis, patients in observation group received CTP in certain area. Comparison of detection rate between groups was conducted. The observation indicators of CI patients detected by CTP in observation group were recorded and analyzed, including the mean transit time (MTT) of the same blood volume, cerebral blood flow (CBF), cerebral blood volume (CBV), and time to peak (TTP). The satisfaction with examination in both groups was explored. Results: CTP presented higher detection accuracy than plain CT scanning (P < 0.05). TTP presented elevation and MTT, CBV and CBF presented depletion in CI position than those in other cerebral position (P < 0.05). TTP, MTT, CBV and CBF presented statistical significance between ischemic penumbra (IP) position and CI position (P < 0.05). The satisfaction degree was elevated in observation group relative to control group (P < 0.05). Conclusion: CTP in early CI has higher diagnostic value and accuracy and elevates patient satisfaction, helping reduce disability and mortality. Additionally, CTP has high maneuverability and flexibility, and can measure IP, reducing the degree of brain tissue damage in patients, and is worthy of clinical application.
L. Wang, G. Tian, H. Zhang, J. Chen, Z. Sun, F. Guo, M.d., J. Shen,
Volume 22, Issue 3 (7-2024)
Abstract
Background: This study explores the predictive value of Computerized Tomography (CT) perfusion imaging, serum D-dimer (D-D), and serum matrix metalloproteinase-9 (MMP-9) levels for hemorrhagic transformation (HT) in patients with acute cerebral infarction post-thrombolysis. Materials and Methods: Patients with acute cerebral infarction who underwent thrombolytic therapy from February 2021 to February 2022 were included. CT perfusion imaging was conducted within a week post-operation. The study compared CT perfusion parameters and serum markers, analyzing differences and conducting univariate and multivariate analyses to explore their predictive value for HT. Results: No significant differences were found in hypertension, hyperlipidemia, stroke history, mean arterial pressure, fasting blood glucose, and platelet count pre-thrombolysis (P > 0.05). However, infarct diameter ≥ 5 cm and atrial fibrillation were more common in the study group, with higher pre-thrombolysis National Institutes of Health Stroke Scale (NIHSS) score, D-D, and MMP-9 levels (P < 0.05). CT perfusion showed lower relative cerebral blood volume (rCBV, relative cerebral blood flow (rCBF, and higher relative mean transit time (rMTT), relative time to peak (rTTP) in the study group (P < 0.05). D-D and MMP-9 levels were negatively correlated with rCBV, rCBF, and positively with rTTP, CTP integration index (P < 0.05). Conclusion: CT perfusion imaging, serum D-D, and MMP-9 levels are effective predictors of hemorrhagic transformation in acute cerebral infarction patients post-thrombolysis. These findings are valuable for guiding clinical treatment and monitoring.
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