Prostate cancer ranks second among the causes of death of malignant tumors in middle-aged and elderly men. A considerable number of patients are not easily detected in early-stage prostate cancer. Although traditional imaging examinations are of high value in the diagnosis and staging of prostate cancer, they also have certain limitations. With the development of nuclear medicine instruments and molecular probes, molecular imaging is playing an increasingly important role in the diagnosis and treatment of prostate cancer. Positron emission tomography and computed tomography (PET/CT) using prostate-specific membrane antigen (PSMA) as a probe has gained increasing recognition. This article will review the latest progress in the application of PET/CT using probes for targeting PSMA to imaging and treatment of prostate cancer, in order to provide a theoretical basis for the application of probes for targeting PSMA in the diagnosis and treatment of prostate cancer.
Positron emission tomography (PET) is a highly sensitive and low invasive technology for cancer biological imaging. Integrated PET/computed tomography (PET/CT) cameras combine functional and anatomical information in a synergistic manner that improves diagnostic interpretation. The role of 18F FDG PET/CT in differentiated thyroid cancer (DTC) is well established, particularly in patients presenting with elevated thyroglobulin (Tg) levels and negative radioactive iodine scan. This review presents the evidence supporting the use of 18F FDG PET/CT throughout the diagnosis and management of thyroid cancer, and provides suggestions for its clinical uses.
ObjectiveTo analyze the relationship between maximum standardized uptake value (SUVmax) of primary tumor detected by 18F-FDG positron emission tomography/computed tomography (PET/CT) and clinicopathologic factors in stageⅠnon-small cell lung cancer (NSCLC), and investigate the prognostic value of PET/CT on pathological feature.
MethodsWe retrospectively analyzed clinical data of 182 patients with stageⅠNSCLC who underwent 18F-FDG PET/CT scan before lobectomy or segmentectomy in China-Japan Friendship Hospital from April 2013 to June 2014. There were 121 male and 61 female patients with their ages of 34-85 (68.1±9.8) years. Clinicopathologic factors including sex, age, smoking history, histology, TNM stage, T stage, tumor size, lymphatic vessel invasion, blood vessel invasion (BVI) and visceral pleural invasion were evaluated to identify the independent factors affecting SUVmax by univariate and multivariate regression analysis. The diagnostic efficiency and best cut-off point of SUVmax were calculated by the receiver operating characteristic curve.
ResultsThe univariate analysis identified that sex (P=0.015), smoking history (P=0.001), histology (P < 0.001), TNM stage (P=0.004), T stage (P=0.001), tumor size (P < 0.001), BVI (P=0.001) were factors affecting SUVmax. Only histology (P=0.001), tumor size (P=0.006), BVI (P=0.009) were found to be significant independent factors according to multivariate regression analysis. The SUVmax of primary tumor was a predictor for BVI with the highest diagnostic accuracy at a cut-off value of 4.85, the sensitivity and specificity were 65.5% and 71.7%.
ConclusionThe SUVmax is correlated with histology, tumor size and BVI in stageⅠNSCLC, higher in patients with non-adenocarcinoma, lager tumor and positive BVI. Furthermore, the probability of BVI could be predicted by SUVmax of the primary tumor.
ObjectiveTo conduct a meta-analysis comparing the accuracy of artificial intelligence (AI)-assisted diagnostic systems based on 18F-fluorodeoxyglucose PET/CT (18F-FDG PET/CT) and structural MRI (sMRI) in the diagnosis of Alzheimer's disease (AD). MethodsOriginal studies dedicated to the development or validation of AI-assisted diagnostic systems based on 18F-FDG PET/CT or sMRI for AD diagnosis were retrieved from the Web of Science, PubMed, and Embase databases. Studies meeting the inclusion criteria were collected, and the risk of bias and clinical applicability of the included studies were assessed using the PROBAST checklist. The pooled sensitivity, specificity, and area under the summary receiver operating characteristic (SROC) curve (AUC) were calculated using a bivariate random-effects model. ResultsTwenty-six studies met the inclusion criteria, yielding a total of 38 2×2 contingency tables related to diagnostic performance. Specifically, 24 contingency tables were based on 18F-FDG PET/CT to distinguish AD patients from normal cognitive (NC) controls, and 14 contingency tables were based on sMRI for the same purpose. The meta-analysis results showed that for 18F-FDG PET/CT, the AI-assisted diagnostic systems had a pooled sensitivity, specificity, and SROC-AUC of 89% (95%CI 88% to 91%), 93% (95%CI 91% to 94%), and 0.96 (95%CI 0.93 to 0.97), respectively. For sMRI, the AI-assisted diagnostic systems had a pooled sensitivity, specificity, and SROC-AUC of 88% (95%CI 85% to 90%), 90% (95%CI 87% to 92%), and 0.94 (95%CI 0.92 to 0.96), respectively. ConclusionAI-assisted diagnostic systems based on either 18F-FDG PET/CT or sMRI demonstrated similar performance in the diagnosis of AD, with both showing high accuracy.
Objective To investigate the advances and clinical efficacy evaluation method on neoadjuvant chemotherapy in patients with gastric cancer. Methods Literatures on the advances and clinical efficacy evaluation method on neoadjuvant chemotherapy in patients with gastric cancer were reviewed and analyzed. The agreement between computed tomography (CT), endoscopic ultrasound (EUS), magnetic resonance imaging (MRI) and positron emission tomography (PET) and the results of histopathology and survival was analyzed.Results CT and EUS were the method of efficacy evaluation commonly used at present, but the evaluation indexes and criteria were controversial, and the criteria for solid tumors seemed to be not feasible for gastric cancer. Diffusionweighted imaging (DWI) method needed more investigation, while PET held advantage in early selection of patients without response accurately.Conclusion There is no uniform standard for clinical efficacy evaluation yet, so an integration of diverse imaging methods may be the best choice to improve the accuracy of neoadjuvant chemotherapy in patients with gastric cancer.
Objective To introduce the current study on 18F-fluorodexyglucose positron emission tomography (18F-FDG PET) scanning in diagnosis and treatment of carcinoma of large intestine. Methods The literatures about 18F-FDG PET scanning in diagnosis and treatment of carcinoma of large intestine in recent years were reviewed. Results 18F-FDG PET scanning is superior to CT and MRI in identificating carcinoma of large intestine recurrence, metastasis in the early stage after operation and staging carcinoma of large intestine. Conclusion 18F-FDG PET scanning may be one of the accessory examinations in carcinoma of large intestine and may be helpful for the choice of treatment.
Prostate cancer is the most common malignant tumor in male urinary system, and the morbidity and mortality rate are increasing year by year. Traditional imaging examinations have some limitations in the diagnosis of prostate cancer, and the advent of molecular imaging probes and imaging technology have provided new ideas for the integration of diagnosis and treatment of prostate cancer. In recent years, prostate-specific membrane antigen (PSMA) has attracted much attention as a target for imaging and treatment of prostate cancer. PSMA ligand positron emission tomography (PET) has important reference value in the diagnosis, initial staging, detection of biochemical recurrence and metastasis, clinical decision-making guidance and efficacy evaluation of prostate cancer. This article briefly reviews the clinical research and application progress on PSMA ligand PET imaging in prostate cancer in recent years, so as to raise the efficiency of clinical applications.
Epilepsy is a clinical syndrome characterized by recurrent epileptic seizures caused by various etiologies. Etiological diagnosis and localization of the epileptogenic focus are of great importance in the treatment of epilepsy. Positron emission tomography-computed tomography (PET-CT) technology plays a significant role in the etiological diagnosis and localization of the epileptogenic focus in epilepsy. It also guides the treatment of epilepsy, predicts the prognosis, and helps physicians intervene earlier and improve the quality of life of patients. With the continuous development of PET-CT technology, more hope and better treatment options will be provided for epilepsy patients. This article will review the guiding role of PET-CT technology in the diagnosis and treatment of epilepsy, providing insights into its application in etiological diagnosis, preoperative assessment of the condition, selection of treatment plans, and prognosis of epilepsy.
With the in-depth study of the pathophysiological changes of ischemic myocardium, some experimental studies have found that in many patients with coronary heart disease, severe lesions and long duration of diseases which do not recover due to revascularization, are mainly related to the viable myocardium in the affected area. Survival myocardium refers to those perfusion defect-induced dysfunctional but not dead cardiomyocytes, including stunned myocardium and hibernating myocardium. Therefore, accurate assessment of viable myocardium is important for the development of clinical treatment options and prognosis assessment of such patients. Positron emission tomography/computed tomography (PET/CT) can evaluate the survival of hibernating myocardium and quantitatively analyze it. Thus PET/CT can provide useful information for the possibility of myocardial function recovery after revascularization, treatment options and prognosis evaluation.
The establishment of brain metabolic network is based on 18fluoro-deoxyglucose positron emission computed tomography (18F-FDG PET) analysis, which reflect the brain functional network connectivity in normal physiological state or disease state. It is now applied to basic and clinical brain functional network research. In this paper, we constructed a metabolic network for the cerebral cortex firstly according to 18F-FDG PET image data from patients with temporal lobe epilepsy (TLE).Then, a statistical analysis to the network properties of patients with left or right TLE and controls was performed. It is shown that the connectivity of the brain metabolic network is weakened in patients with TLE, the topology of the network is changed and the transmission efficiency of the network is reduced, which means the brain metabolic network connectivity is extensively impaired in patients with TLE. It is confirmed that the brain metabolic network analysis based on 18F-FDG PET can provide a new perspective for the diagnose and therapy of epilepsy by utilizing PET images.
