Objective: To study the effects of glutamine on heat shock protein 70(Hsp70) expression and immune in patients with acute cerebral infarction.Methods: 60 patients with acute cerebral infarction were randomly divided into 2 groups,the control group(n=30) and the glutamine group.Patients in glutamine group were supplemented intravenously with alanyl-glutamine during 24 hours after hospitalization.Other treatments were the same as in the control group.Serum Hsp70 concentrations,immune parameters,and infection rates were compared.Results: The serum Hsp70 level,the immune globulin level,the CD4+ cell and CD4+/CD8+ in the glutamine group were significantly higher than those in the control group(P

Objective To find the optimal scanning time window and then set up the normal binding potentials (BPs) of 2β-carbomethoxy-3β-(4-fluorophenyl)-(N-11C-methyl) tropane (11C-CFT) DAT PET/CT imaging.Methods Thirty-one healthy volunteers (20 males,11 females,average age:(55.7±2.3) years),who all gave written informed consent,were divided into three age and gender-matched groups according to block randomization.Each group underwent static PET/CT scan in different time windows from 40-60 min,60-80 min to 80-100 min after 11C-CFT injection.To determine the best scanning time window,the ratios of caudate and putamen of all volunteers were analyzed using automatic ROI method (caudate (putamen)/parieto-occipital cotex-1) and compared by one-way analysis of variance and the least significant difference (LSD) t test.The ratio of the same area between different age-groups and gender-groups was compared with independent two-sample t test.Results Ratios of left caudate (2.08±0.06,1.75±0.07and 1.77±0.12 respectively),right anterior putamen (2.33±0.06,1.95±0.09 and 2.08±0.12 respectively)and bilateral posterior putamen (left:1.88±0.66,1.55±0.88 and 1.72±0.09; right:1.98±0.07,1.61±0.09and 1.69±0.12) were all different in three time windows (F=3.588,3.345,4.479,3.557,all P＜0.05).There were significant differences in ratios of left caudate,right anterior and bilateral posterior putamen between 40-60 min and the 60-80 min (all P＜0.05),as well as the ratios of left caudate between 40-60 min and the 80-100 min group (P＜0.05).While no valid differences in ratios of those areas were shown between the groups of 60-80 min and 80-100 min scanning time window (all P＞0.05).DAT densities in right and left side of caudate,anterior and posterior putamen were significantly lower in the group over 60 years of age than those under 60 years (t=-3.260,-3.090,-3.270,-3.190,-2.270,-3.110,all P＜0.05),but were not different between gender-groups (t =0.367,0.522,0.144,0.524,0.166,0.004,all P＞0.05).Conclusions Sixty min after injection of 11C-CFT,the BPs achieve stable stage,so the best scanning time window of 11C-CFT DAT PET imaging was 60-80 min after injection.Identification of normal DAT distribution and understanding of normal BPs of 11C-CFF are necessary before its clinical application.

Objective To evaluate the effects of extremity ischemic preconditioning on liver injury after cardiac valve replacement with cardiopulmonary bypass (CPB).Methods Sixty ASA physical status Ⅱ or Ⅲ patients (NYHA Ⅱ or Ⅲ), weighing 44-72 kg, with ejection fraction≥40％, schedule for elective cardiac valve replacement with CPB, were randomly divided into 2 groups (n =30 each) using a random number table: control group (group C) and extremity ischemic preconditioning group (group E).Immediately after anesthesia induction, an auto-inflatable cuff was placed under the right lower extremity, and was inflated to 300 mmHg to induce ischemia (oxygen saturation at the finger tip undetected or foot pulse untouched on the operated side) which was preceded by 3 cycles of 5 min ischemia-5 min reperfusion in group E.Before anesthesia induction (T0) , and at 2, 12, 24, and 72 h, and 7 days after operation (T1-5) , blood samples were taken from the right internal jugular vein for determination of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) activities.The expression of serum miR-122 was detected at T0-4 by real-time reverse transcriptase polymerase chain reaction.Results Compared with the value at T0, the serum ALT and AST activities were significantly increased at T2-4, and the expression of miR-122 was up-regulated at T1-3 in the two groups (P＜0.05).Compared with group C, the serum ALT and AST activities were significantly decreased at T2-4, and the expression of miR-122 was down-regulated at T1-3in group E (P＜0.05).Conclusion Extremity ischemic preconditioning can mitigate liver injury after cardiac valve replacement with CPB.

Central nervous system (CNS)diseases are complicated and the knowledge we get about them is very limited.PET plays an important role in the diagnosis of CNS diseases since it is noninvasive. Exploring the functional changes of the brain with PET has become a hot topic.The key of PET brain ima-ging is the molecular targeting probes.This review summarizes the research progress of CNS PET tracers on the basis of 2016 Society of Nuclear Medicine and Molecular Imaging (SNMMI)annual meeting.

OBJECTIVE: To evaluate whether the combination of magnetic resonance spectroscopy (MRS) and 11C-methionine positron emission tomography (11C-MET PET) could increase accurate diagnostic sensitivity for non-enhancing supratentorial gliomas. MATERIALS AND METHODS: Between February 2012 and December 2017, 109 patients with non-enhanced supratentorial lesions on contrast-enhanced MRI were enrolled. Each patient underwent MRS and 11C-MET PET before treatment. A lesion was considered to be a glioma when either the MRS or 11C-MET PET results reached the diagnostic threshold. The radiological diagnosis was compared with the pathological diagnosis or medical diagnostic criteria. RESULTS: The sensitivity and specificity were 60.0% and 50.0% for MRS and 75.8% and 50.0% for 11C-MET PET, respectively. Upon combining the two modalities, the sensitivity and specificity of the imaging-based diagnosis prior to surgery reached 89.5% and 42.9%, respectively. Statistically significant differences in the sensitivities were observed between the combined and individual approaches (MRS alone, 89.5% vs. 60.0%, p < 0.001; 11C-MET PET alone, 89.5% vs. 75.8%, p = 0.001). However, no significant differences in specificity were observed between the combined and individual modalities. CONCLUSION: The combination of MRS and 11C-MET PET findings significantly increases accurate diagnostic sensitivity for non-enhancing supratentorial gliomas without significantly lowering the specificity. This finding suggests the potential of the combined MRS and 11C-MET PET approach in clinical applications.
Diagnosis ; Electrons ; Glioma ; Humans ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; Methionine ; Positron-Emission Tomography ; Sensitivity and Specificity

Objective To investigate the value of statistical parametric mapping (SPM) analysis of 18F-fluorodeoxyglucose (FDG) PET imaging in the differential diagnosis of Parkinsonism in single-case level.Methods SPM software was used to retrospectively analyze the 18F-FDG PET images of 160 patients (104males,56 females,age:30-82 years) who were suspected with Parkinsonism at baseline and were clinical confirmed by follow-up from April 2010 to December 2017.18F-FDG PET images of patients was compared with those of age-matched healthy controls in single-case level using two-sample t test in SPM software to obtain the imaging diagnosis.By comparing imaging diagnosis with the final clinical diagnosis,the diagnostic accuracy of SPM in the overall cohort as well as the early subcohort (duration of disease less than 2 years (56 males,22 females,age:50-82 years)) were calculated respectively.Results Among 160 patients with Parkinsonism,146(91.2％) had the same 18F-FDG PET diagnosis as their final clinical diagnosis.The diagnostic sensitivity for Parkinson's disease (PD),multiple system atrophy (MSA),progressive supranuclear palsy (PSP) and cortical basal ganglia degeneration (CBD) were 93.5％ (86/92),92.3％ (24/26),84.0％(21/25) and 15/17,respectively.The specificity were 95.6％(65/68),95.5％(128/134),96.3％ (130/135) and 100％(143/143),respectively.In the early subcohort,the analysis also achieved similar differential diagnosis effectiveness(92.3％).Conclmion The single-case 18F-FDG PET imaging SPM analysis can be helpful in the early differential diagnosis of Parkinsonism effectively.

Objective To study the effect of short-term treatment of subthalamic nucleus ( STN ) deep brain stimulation (DBS) on cerebral glucose metabolism in patients with Parkinson's disease (PD) and its relationship with the change of brain motor-related nerve pathways. Methods Five patients ( 2 males, 3 females;age:(63.6±11.8) years) with PD who underwent STN DBS between January 2014 and December 2018 were enrolled in this study. All patients underwent 18F-fluorodeoxyglucose (FDG) PET in "DBS-off"state before and 3 months after operation. Quantitative expression of PD-related metabolic pattern (PDRP) were calculated by scaled subprofile model/principal component analysis ( SSM/PCA) on PET images. Brain regions with changes of glucose metabolism after DBS were located by statistical parametric mapping (SPM) paired t test. Results Compared with pre-operation, PDRP expression (5.1±1.3 vs 2.9±1.8) and unified Parkinson's disease rating scale (UPDRS) motor score (50.2±8.2 vs 28.0±5.4) of PD patients were significantly decreased 3 months after STN DBS (t values:6.17 and 3.88, both P<0.05). After DBS, the glucose metabolism of bilateral globus pallidus/putamen, caudate nucleus, thalamus, insula, pons and cer-ebellum decreased, while the glucose metabolism of bilateral prefrontal motor area and parietooccipital lobe increased ( t=3.75, P<0.01) . Conclusions Short-term STN DBS therapy can inhibit the cortico-striatum-pallidum-hypothalamus-cortex motor loop, which is abnormally excitable in the brain of PD. PDRP, as an imaging characterization of the regulation of this loop, is expected to become an imaging marker for monito-ring the treatment of PD.

Objective:To establish standard spatial brain template and ROIs template of 11C-methyl- N-2β-carbomethoxy-3β-(4-fluorophenyl)tropane (CFT) PET images for automated quantitative analysis of dopamine transporter (DAT) distribution. Methods:From May 2014 to December 2015, 11C-CFT PET and MRI T 1 brain images of 16 healthy volunteers (3 males, 13 females; age (63.3±6.9) years) from Huashan Hospital, Fudan University were co-registered and smoothed using statistical parametric mapping(SPM)5 software based on MATLAB to create a standard spatial brain template. The ROIs template was established by ScAnVp procedures. These templates were clinically verified by using 11C-CFT PET images of 37 healthy volunteers (23 males, 14 females; age (61.7±7.1) years), 32 Parkinson′s disease (PD) patients (20 males, 12 females; age (61.1±5.4) years), 10 multiple system atrophy with predominant parkinsonism (MSA-P) patients (7 males, 3 females; age (60.8±7.1) years) and 10 progressive supranuclear palsy (PSP) patients (5 males, 5 females; age (58.4±6.1) years) from Huashan Hospital, Fudan University between January 2014 and March 2019. One-way analysis of variance was used to analyze data. Results:Based on the 11C-CFT PET images and MRI T 1 images of healthy volunteers, a standard spatial brain template for normalization of 11C-CFT PET images was created. The ROIs template was established including seven regions: bilateral caudate, anterior putamen, posterior putamen (along the long axis) and the occipital cortex. The ROIs template was accurately aligned in each verification group. The normal reference values of semi-quantitative DAT distribution in caudate, anterior putamen and posterior putamen were obtained (1.84±0.13, 2.18±0.16, 1.77±0.11). The semi-quantitative values of 11C-CFT uptake in each ROI in patients were significantly lower than those in healthy volunteers ( F values: 49.79-283.83, all P<0.05). Conclusion:The established brain templates with accurate spatial alignment for 11C-CFT image analysis can provide foundational tools for the application of 11C-CFT PET imaging in clinical practice and scientific research.

Objective:To explore the potential application of combining 18F-FDG PET imaging and radiomics in the diagnosis of Parkinson′s disease (PD) and atypical parkinsonian syndromes (APS). Methods:A total of 154 subjects of two cohorts (training set and validation set) were enrolled from Huashan Hospital, Fudan University from March 2015 to August 2020 in this cross-sectional study, including 40 normal controls (NC; 23 males and 17 females, age: (60.2±10.5) years), 40 PD patients (20 males and 20 females, age: (64.7±6.3) years), 40 progressive supranuclear palsy (PSP) patients (20 males and 20 females, age: (64.1±5.9) years), and 34 multiple system atrophy (MSA) patients (19 males and 15 females, age: (65.0±9.2) years). 18F-FDG PET images and clinical scale were selected, and one-way analysis of variance was used to compare differences of clinical scale among groups. Radiomic features extraction and feature selection were carried out. Two and three classification models were constructed based on logistic regression, and the ROC curves of clinical model, radiomics model and combined model were calculated. Independent classification tests were conducted 100 times with 5-fold cross validation in two cohorts. Results:There were significant differences in the scores of unified PD Rating Scale (UPDRS) and Hoehn-Yahr rating scale (H&Y) among different groups in cohort 1 and cohort 2 respectively ( F values: 4.83-17.95, all P<0.05). A total of 2 444 imaging features were extracted from each subject, and after features selection, 15 features for classification were obtained. In the two classification experiment, the AUCs of the three models in binary classification of PD/MSA/PSP/NC group were 0.56-0.68, 0.74-0.93 and 0.72-0.93, respectively. The classification effects of the radiomics model were significantly better than those of the clinical model ( z values: 1.71-2.85, all P<0.05). In the three classification experiment, the sensitivity of the radiomics model reached 80%, 80% and 77% for PD, MSA and PSP, respectively. Conclusion:18F-FDG imaging combined with radiomics has potential in the diagnosis of PD and APS.

Purpose To explore the application value of combining 18F-FDG PET images with interpretable deep learning radiomics(IDLR)models in the differential diagnosis of primary Parkinson's disease(IPD)and atypical Parkinson's syndrome.Materials and Methods This cross-sectional study was conducted using the Parkinson's Disease PET Imaging Benchmark Database from Huashan Hospital,Fudan University from March 2015 to February 2023.A total of 330 Parkinson's disease patients underwent 18F-FDG PET imaging,both 18F-FDG PET imaging and clinical scale information were collected for all subjects.The study included two cohorts,a training group(n=270)and a testing group(n=60),with a total of 211 cases in the IPD group,59 cases in the progressive supranuclear palsy(PSP)group,and a group of 60 patients with multiple system atrophy(MSA).The clinical information between different groups were compared.An IDLR model was developed to extract feature indicators.Under the supervision of radiomics features,IDLR features were selected from the features collected by neural network extractors,and a binary support vector machine model was constructed for the selected features in images of in testing group.The constructed IDLR model,traditional radiomics model and standard uptake ratio model were separately used to calculate the performance metrics and area under curve values of deep learning models for pairwise classification between IPD/PSP/MSA groups.The study conducted independent classification and testing in two cohorts using 100 10-fold cross-validation tests.Brain-related regions of interest were displayed through feature mapping,using gradient weighted class activation maps to highlight and visualize the most relevant information in the brain.The output heatmaps of different disease groups were examined and compared with clinical diagnostic locations.Results The IDLR model showed promising results for differentiating between Parkinson's syndrome patients.It achieved the best classification performance and had the highest area under the curve values compared to other comparative models such as the standard uptake ratio model(Z=1.22-3.23,all P<0.05),and radiomics model(Z=1.31-2.96,all P<0.05).The area under the curve values for the IDLR model in differentiating MSA and IPD were 0.935 7,for MSA and PSP were 0.975 4,for IPD and PSP were 0.982 5 in the test set.The IDLR model also showed consistency between its filtered feature maps and the visualization of gradient-weighted class activation mapping slice thermal maps in the radiomics regions of interest.Conclusion The IDLR model has the potential for differential diagnosis between IPD and atypical Parkinson's syndrome in 18F-FDG PET images.