中华核医学与分子影像杂志最新文献

{"title":"Differentiation of brain and pulmonary masses with 18F-FDG PET/CT: comparison of two cases","authors":"Hongping Shi, Yaping Luo","doi":"10.3760/CMA.J.CN321828-20200313-00101","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20200313-00101","url":null,"abstract":"","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"240-242"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42141226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"131I treatment of hyperthyroidism with hepatolenticular degeneration: a case report","authors":"Hongming Zheng","doi":"10.3760/CMA.J.CN321828-20190725-00143","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20190725-00143","url":null,"abstract":"","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"238-239"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41675474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Value of visual analysis and SUVR during 18F-AV45 PET/CT imaging in the diagnosis of mild cognitive impairment and Alzheimer′s disease","authors":"Chenpeng Zhang, Cheng Wang, Mei Xin, Qian Xia, L. Wan, Junwei Qiu, Qun Xu, Ling Yue, S. Xiao, Jianju Liu","doi":"10.3760/CMA.J.CN321828-20200225-00067","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20200225-00067","url":null,"abstract":"Objective \u0000To evaluate the value of visual analysis and standardized uptake value ratio (SUVR) during 18F-florbetapir (AV45) PET/CT brain imaging in diagnosis of β-amyloid (Aβ) deposition in patients with mild cognitive impairment (MCI) and Alzheimer′s disease (AD), and to explore the clinical ancillary value of the two indexes. \u0000 \u0000 \u0000Methods \u0000From December 2018 to July 2019, a total of 47 subjects, including 5 (3 males, 2 females, age (58±13) years) normal controls (NC), 8 (2 males, 6 females, age (66±10) years) patients with AD and 34 (16 males, 18 females, age (70±7) years) patients with MCI were enrolled. All subjects underwent 18F-AV45 PET/CT scan. All images were evaluated by visual analysis and SUVR were calculated. The diagnostic efficiencies of visual analysis and SUVR were compared by McNemar test and Kappa test. One-way analysis of variance and Welch test were used to compare data differences. The best threshold value of SUVR was obtained by receiver operating characteristic (ROC) curve analysis. \u0000 \u0000 \u0000Results \u0000The positive rate of Aβ deposition for all subjects was 46.81%(22/47) by SUVR analysis, and 38.30%(18/47) by visual analysis. There was no significant difference between the two methods (χ2=33.15, P>0.05), and the consistency was good (Kappa=0.83). Considering the clinical diagnosis as the\"gold standard\", the Aβ deposition obtained by visual analysis and SUVR analysis can effectively distinguish AD from NC, and the sensitivities were 7/8 vs 8/8, respectively, both specificities were 5/5(χ2=9.48, P>0.05), with good consistency (Kappa=0.84). SUVR quantitative analysis could distinguish AD from NC, AD from MCI (F values: 3.99-8.79, all P 0.05). ROC curve analysis showed that the best threshold value of precuneus′ SUVR was 1.08 for the differential diagnosis of AD and NC; for the differential diagnosis of AD and MCI, the best threshold value of lateral temporal′s SUVR was 1.06. \u0000 \u0000 \u0000Conclusion \u0000Visual analysis was consistent with SUVR′s qualitative determination during 18F-AV45 PET/CT imaging for brain Aβ deposition, while SUVR quantitative analysis could assist in the differential diagnosis of AD and NC, AD and MCI. \u0000 \u0000 \u0000Key words: \u0000Alzheimer Disease; Cognition disorders; Amyloidogenic proteins; Positron-emission tomography; Tomography, X-ray computed","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"201-206"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43154885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of statistical parametric mapping aided semi-quantitative analysis of 11C-PIB PET imaging acquired by hybrid PET/MR and its clinical application","authors":"Xun Sun, W. Ruan, Xiaojuan Huang, Fang Liu, Xuehan Hu, Yongkang Gai, Qingyao Liu, X. Lan","doi":"10.3760/CMA.J.CN321828-20200211-00040","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20200211-00040","url":null,"abstract":"Objective \u0000To explore the feasibility of statistical parametric mapping (SPM) aided semi-quantitative analysis in 11C-Pittsburgh compound B (PIB) β-amyloid (Aβ) PET imaging acquired by hybrid PET/MR, and evaluate its possibility in assisting the diagnosis or differential diagnosis for cognitive impairment. \u0000 \u0000 \u0000Methods \u0000From January 2018 to September 2019, 13 Alzheimer′s disease (AD) patients (4 males, 9 females; age (59.2±5.8) years) and 10 vascular cognitive disorders (VCD) patients (9 males, 1 female; age (59.5±11.5) years) who underwent 11C-PIB PET/MR in PET center of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were retrospectively analyzed. The standardized uptake value ratio (SUVR) of eight key brain regions (cerebral white matter, striatum, thalamus, posterior cingulate gyrus, frontal cortex, posterior parietal cortex, lateral temporal cortex and occipital cortex) to cerebellum cortex were obtained by manual delineation and SPM-aided semi-automatic segmentation with the help of synchronous three-dimensional T1 weighted imaging (3D T1WI). Pearson correlation analysis was carried out on the SUVR obtained by the two methods. Independent-sample t test and paired t test were used to analyze the data. \u0000 \u0000 \u0000Results \u0000There was no significant difference between AD group and VCD group in age and Mini-Mental State Examination (MMSE) score (19.7±4.7 vs 21.7±3.8; t values: 0.095 and 1.098, both P>0.05). Except thalamus(r=0.179, P=0.413), there were good correlations between SUVR obtained by segmentation and delineation in the other 7 key regions (r values: 0.678-0.893, all P<0.05). The SUVR of 8 key regions obtained by the two methods in AD group was significantly higher than that in VCD group (1.519-2.055 vs 1.105-1.618; t values: 2.799-11.582, all P<0.01). The SUVR of striatum (1.942±0.205), posterior cingulate gyrus (1.915±0.249), frontal lobe (1.983±0.264), parietal lobe (2.008±0.296) and temporal cortex (1.931±0.254) in AD group was significantly higher than that of cerebral white matter (1.746±0.192; t values: 3.793-6.992, all P<0.01). But in VCD group, there was no region with the SUVR higher than that of cerebral white matter. \u0000 \u0000 \u0000Conclusions \u0000Hybrid PET/MR can acquire the PET and MRI images synchronously, which can realize the accurate brain segmentation and obtain the semi-quantitative data of key brain regions aided by SPM. The method can analyze the characteristics and differences of amyloid imaging in AD and VCD, which is expected to provide an accurate imaging analysis method for the diagnosis and differential diagnosis of cognitive disorders. \u0000 \u0000 \u0000Key words: \u0000Alzheimer disease; Cognition disorders; Amyloid; Positron-emission tomography; Magnetic resonance imaging","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"207-212"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45811833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mid-long-term prognostic value of preoperative 18F-FDG PET/CT imaging on patients with resectable non-small cell lung cancer","authors":"Xuetao Chen, Yuyi Zhang, Z. Yao, S. Luo, Congxia Chen, Xu Li","doi":"10.3760/CMA.J.CN321828-20190801-00156","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20190801-00156","url":null,"abstract":"Objective \u0000To investigate the role of preoperative 18F-fluorodeoxyglucose (FDG) PET/CT imaging in mid-long-term prognosis of patients with resectable non-small cell lung cancer (NSCLC). \u0000 \u0000 \u0000Methods \u0000Seventy resectable NSCLC patients (35 males, 35 females, median age 64 years) in Beijing Hospital between April 2010 and August 2016 were enrolled into this retrospectively study. All patients underwent 18F-FDG PET/CT imaging followed by pulmonary resection with mediastinal or hilar lymph nodes dissection within 1 month. The findings of PET/CT imaging including characteristics of primary lesions and mediastinal or hilar lymph nodes (size and maximum standardized uptake value (SUVmax) of primary lesion, SUVmax and distribution of high metabolic lymph nodes (HML)) were analyzed, and patients were followed up. Survival outcome indicators were defined as overall survival (OS) and progression-free survival (PFS). Survival analysis was conducted by Kaplan-Meier method, log-rank method and Cox proportional hazard models to assess the predictive factors. \u0000 \u0000 \u0000Results \u0000Patients were followed up for 0.9-8.2 years. Among 70 patients, 31.4% (22/70) had disease progression and 24.3% (17/70) died. As for OS, there were significantly differences between patients with SUVmax of primary lesion≥10 and 3 cm and ≤3 cm (4.8 vs 7.4 years), with unilateral mediastinal or hilar HML and bilateral sides or without HML (4.4 vs 7.4 years), with SUVmax of mediastinal or hilar lymph nodes ≥5.0 and <5.0 (3.8 vs 7.3 years) (χ2 values: 10.135-15.238, all P<0.01), as well as PFS (3.9 vs 6.7, 3.8 vs 6.6, 3.8 vs 6.4, 3.3 vs 6.3 years; χ2 values: 8.410-14.600, all P<0.01). Cox multivariate analysis demonstrated that the size and SUVmax of primary lesion were independent predictive factors of OS and PFS (all P<0.01). Moreover, the distribution of mediastinal or hilar HML had marginal significance in predicting OS (P=0.051). \u0000 \u0000 \u0000Conclusions \u0000Size and SUVmax of primary lesion in preoperative 18F-FDG PET/CT imaging are predictive factors for the survival of postoperative NSCLC. The distribution of the mediastinal or hilar HML may have significance for the survival prediction of postoperative NSCLC. \u0000 \u0000 \u0000Key words: \u0000Carcinoma, non-small-cell lung; Positron-emission tomography; Tomography, X-ray computed; Deoxyglucose; Prognosis","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"219-223"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46820034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of PSMA ligands PET imaging in the diagnosis and treatment of non-prostate tumors","authors":"Guanyun Wang, Peng Yu, Jing Ning, Baixuan Xu","doi":"10.3760/CMA.J.CN321828-20190722-00137","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20190722-00137","url":null,"abstract":"Prostate specific membrane antigen (PSMA) is a hot topic in molecular imaging research of prostate cancer. However, non-prostate related PSMA can also be expressed in physiological tissues and different benign and malignant diseases, especially in tumor-associated endovascular endothelial cells. Related clinical studies have demonstrated the staging potential of PSMA ligands PET imaging in non-prostate tumors. This article summarizes the application of PSMA ligands PET imaging in the diagnosis and treatment of non-prostate tumors. \u0000 \u0000Key words: \u0000Prostate-specific membrane antigen; Positron-emission tomography; Trends","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"243-246"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42877807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of different reconstruction algorithms on SUV of pulmonary nodules in 18F-FDG PET/CT","authors":"Bin Zhao, Binwei Guo, Bin Huang, M. Liang, ZhiXing Qin, X. Hao, Sijin Li, Zhifang Wu","doi":"10.3760/CMA.J.CN321828-20191122-00266","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20191122-00266","url":null,"abstract":"Objective \u0000To compare four reconstruction algorithms of 18F-fluorodeoxyglucose (FDG) PET/CT on standardized uptake value (SUV) of pulmonary nodules. \u0000 \u0000 \u0000Methods \u0000A total of 46 patients (27 males, 19 females; median age: 66 (range: 44-82) years) with solid pulmonary nodules from February 2018 to July 2019 in the First Hospital of Shanxi Medical University who performed 18F-FDG PET/CT imaging were enrolled. All PET/CT images were retrospectively reconstructed by using four algorithms reconstructions including ordered subset expectation maximization (OSEM), OSEM+ time of flight (TOF), OSEM+ TOF+ point spread function (PSF) and block sequential regularized expectation maximization (BSREM) (G1-G4). Nodule and background parameters were analyzed semi-quantitatively and visually. The maximum of SUV(SUVmax), mean of SUV(SUVmean) and peak of SUV (SUVpeak) were collected by the region of interest (ROI). Nodules were divided into small nodule group (diameter ≤10 mm) and large nodule group (10 mm < diameter ≤30 mm). Kruskal-Wallis rank sum test and Bonferroni method were performed to compare the differences of SUVs between G1-G4, and Spearman correlation analysis was used to analyze the correlation between the change rate of SUV (%ΔSUV) and the diameter of nodules. The receiver operating characteristic (ROC) curve analysis was used to analyze the diagnostic efficacy of SUV for the differential diagnosis of pulmonary nodules and to get the optimal threshold. \u0000 \u0000 \u0000Results \u0000There were 114 pulmonary nodules (large nodules, n=55; small nodules, n=59). In visual analysis, the visual detection rates of small nodules in G4 were 55.93%(33/59), 44.07%(26/59), 20.34%(12/59) higher than those in G1-G3. Of 114 pulmonary nodules in 46 patients, there were differences in SUVmax and SUVmean between G1-G4 (median SUVmax : 2.65-5.29, median SUVmean: 2.05-2.99; H values: 20.628 and 17.749, respectively, both P 0.05). The optimal threshold values of SUVmax in G1-G4 were 4.335, 5.185, 5.410, 5.745 and the area of under curves (AUCs) were 0.747, 0.699, 0.756, 0.778 respectively. The AUC of SUVmean and SUVpeak also showed a similar trend. \u0000 \u0000 \u0000Conclusion \u0000Among the four reconstruction algorithms, BRERM can not only enhance the image quality, but also significantly improve the SUVmax and SUVmean of lung nodules diameter below 10 mm, and thus its diagnostic threshold of SUV should be appropriately increased. \u0000 \u0000 \u0000Key words: \u0000Lung neoplasms; Positron-emission tomography; Tomography, X-ray computed; Image processing, computer-assisted; Deoxyglucose","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"224-230"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48411530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of 177Lu-EB-RGD molecular probe and its imaging and therapy in the patient-derived xenografts of non-small cell lung cancer","authors":"Kaili Fu, Liang Zhao, Zhide Guo, Xuejun Wen, Lanlin Yao, Xianzhong Zhang, Xiaoyuan Chen, Q. Lin, Hua Wu, Haojun Chen","doi":"10.3760/CMA.J.CN321828-20190626-00118","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20190626-00118","url":null,"abstract":"Objective \u0000To develop a novel αvβ3-targeted theranostic agent 177Lu-Evans blue (EB)-Arg-Gly-Asp (RGD) and evaluate its value for SPECT imaging and targeted radionuclide therapy in the non-small cell lung cancer (NSCLC)-patient-derived xenografts (PDX). \u0000 \u0000 \u0000Methods \u0000The αvβ3-targeted molecule RGD was conjugated with the albumin binding moiety EB to obtain EB-RGD, and EB-RGD was further conjugated with the chelator 1, 4, 7, 10-tetraazacyclododecane-1, 4, 7, 10-tetraacetic acid (DOTA) for 177Lu radiolabeling. NSCLC-PDX mice models (n=68) were established. 177Lu-EB-RGD SPECT imaging, biodistribution study were performed in 28 PDX mice models after being injected with 177Lu-EB-RGD or 177Lu-RGD. Targeted radionuclide therapy were subsequently performed in NSCLC-PDX mice models, saline group (group A), 18.5 MBq 177Lu-RGD group (group B), 18.5 MBq 177Lu-EB-RGD group (group C), 29.6 MBq 177Lu-EB-RGD group (group D), n=10 in each group; tumor volumes of PDX mice models in each group were observed within 50 d. Differences between 2 groups were compared using independent-sample t test. \u0000 \u0000 \u0000Results \u0000177Lu-EB-RGD was radiolabeled at a specific activity of (55±14) GBq/μmol, with a radiochemical yield of more than 95% and a radiochemical purity of more than 95%. Regarding the SPECT imaging, tumors in NSCLC-PDX mice were clearly observed from 4 to 96 h post-injection and the tumor to muscle ratio (T/M) reached 7.34±0.67, 14.63±3.82, 15.69±3.58 and 15.99±5.42 at 4, 24, 72, 96 h post-injection, respectively. Biodistribution study further confirmed the findings from SPECT imaging, and the tumor uptake of 177Lu-EB-RGD were markedly increased compared to 177Lu-RGD 4 h post-injection ((10.15±1.17) vs (3.30±1.47) percent injection dose per gram (%ID/g); t=18.60, P<0.05). Regarding targeted radiotherapy, the tumor volumes were quickly increased within 50 d after treatment in group A and B, while the tumor volumes were decreased in group C and D, until the tumors in group C and D disappeared at the 28th day after initial treatment with no sign of recurrence during the observation period. \u0000 \u0000 \u0000Conclusions \u0000177Lu-EB-RGD can target αvβ3-positive NSCLC-PDX with intense tumor to background ratio and strong tumor inhibition efficacy. The preclinical data suggests that 177Lu-EB-RGD may be an effective new treatment option for advanced NSCLC patients with resistance or ineffective results for targeted therapy. \u0000 \u0000 \u0000Key words: \u0000Carcinoma, non-small-cell lung; Xenograft model antitumor assays; Evans blue; Arginine-glycine-aspartic acid; Lutetium; Mice, nude","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"231-237"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46621831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of 18F-AV45 PET imaging in subtle cognitive decline and mild cognitive impairment patients","authors":"Shuhua Ren, Qi Huang, Jin-Qing Hu, Donglang Jiang, Jianfei Xiao, Q. Guo, F. Xie, Fengchun Hua, Y. Guan","doi":"10.3760/CMA.J.CN321828-20190812-00166","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20190812-00166","url":null,"abstract":"Objective \u0000To investigate the correlations between cerebral β-amyloid (Aβ) deposition assessed by 18F-florbetapir (AV45) PET imaging and clinical cognitive symptoms in patients with subtle cognitive decline (SCD) and mild cognitive impairment (MCI). \u0000 \u0000 \u0000Methods \u0000Data of twenty-four patients (11 males, 13 females, age: (63.2±7.6) years) diagnosed as SCD (n=15) or MCI (n=9) from December 2018 to March 2019 in Shanghai Jiao Tong University Affiliated Sixth People′s Hospital were collected prospectively. All patients underwent 18F-AV45 PET imaging, brain MRI T1 scan and Mini-Mental State Examination (MMSE) within two weeks. 18F-AV45 PET images were analyzed visually (positive, mild positive, negative). After being pretreated according to the MRI, 18F-AV45 PET images were analyzed semi-quantitatively by calculating the standardized uptake value ratio (SUVR) of Aβ deposition in 8 regions of interest (ROIs; frontal lobe, lateral parietal lobe, lateral temporal lobe, medial temporal lobe, occipital lobe, basal ganglia, posterior cingulate and precuneus), with cerebellar gray matter as the reference. Partial correlation coefficients between regional SUVRs and MMSE score were calculated. \u0000 \u0000 \u0000Results \u000018F-AV45 PET imaging showed that 16 patients with positive results and 8 patients with mild positive results. MMSE score of 24 patients was 28.2±2.0, and the SUVR was 0.93-1.87. Correlation analysis revealed that Aβ deposition in frontal cortex (r=-0.432), posterior cingulate lobe (r=-0.434) and precuneus (r=-0.418) was negatively correlated with MMSE score (all P 0.05). \u0000 \u0000 \u0000Conclusion \u000018F-AV45 PET imaging can noninvasively detect brain Aβ deposition in patients, and can effectively reflect the clinical cognitive status of patients with SCD and MCI to a certain extent. \u0000 \u0000 \u0000Key words: \u0000Cognition disorders; Amyloid; Positron-emission tomography","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"196-200"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41896034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PET imaging of Alzheimer′s disease related abnormal protein deposition","authors":"C. Zuo, Huiwei Zhang, Y. Guan","doi":"10.3760/CMA.J.CN321828-20200304-00085","DOIUrl":"https://doi.org/10.3760/CMA.J.CN321828-20200304-00085","url":null,"abstract":"","PeriodicalId":10099,"journal":{"name":"Chinese Journal of Nuclear Medicine and Molecular Imaging","volume":"40 1","pages":"193-195"},"PeriodicalIF":0.0,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49474406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}