Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

Objective To observe the correlation between cortical thickness and pathological deposition of β-amyloid(Aβ)in patients with Alzheimer disease(AD)induced mild cognitive impairment(MCI)or dementia.Methods Totally 22 AD patients were prospectively enrolled and divided into dementia group(n=12)and MCI group(n=10)based on the degree of cognitive impairment,while 17 healthy individuals without cognitive impairment were recruited as control group.MR examination and 18F-florbutaben(18F-FBB)PET imaging were performed,the cortical thickness and Aβ deposition value(Centiloid[CL]value)were calculated and compared among 3 groups and between each 2 groups,then the correlation between the above two indexes was analyzed.Results The cortical thickness in dementia group,MCI group and control group was(2.18±0.14),(2.35±0.08)and(2.36±0.09)mm,respectively,with significant difference among 3 groups(P＜0.05).The cortical thickness in dementia group was significantly thinner than that in MCI group and control group(both P＜0.05).CL value in dementia group,MCI group and control group was 77.97(63.07,95.55),65.51(54.54,90.50)and-1.17(-9.66,4.88),respectively,with significant difference among 3 groups(P＜0.05).CL value in dementia group and MCI group were significantly higher than in control group(both P＜0.05).The cortical thickness was moderately negatively correlated with CL value in MCI group(r=-0.580,P=0.048)but not in the other 2 groups(both P＞0.05).Conclusion The cortical thickness was moderately negatively correlated with abnormal deposition of Aβ in patients with AD induced MCI,but was not during dementia.

Objective:To investigate the potential value of cerebral glucose metabolism characteristics in anti-leucine-rich glioma-inactivated protein 1 (LGI1) antibody-related encephalitic patients during acute phase as the clinical indicator of disease outcomes.Methods:From October 2019 to December 2023, 28 patients (18 males, 10 females; age (56.6±11.9) year) with anti-LGI1 antibody-related encephalitis diagnosed at Huashan Hospital, Fudan University were prospectively enrolled. All patients received baseline brain 18F-FDG PET imaging and were divided into different subgroups according to the prognosis (good prognosis and poor prognosis groups) and recurrence (recurrence and non-recurrence groups) after follow-up. The difference of Montreal Cognitive Assessment (MoCA) score between the two groups was compared by Mann-Whitney U test. Statistical parametric mapping (SPM) analysis was used to analyze the PET images of different groups by independent-sample t test, and the characteristics of cerebral glucose metabolism of patients with different outcomes were obtained. Results:MoCA scores between the recurrence group ( n=6) and the non-recurrence group ( n=22; 14.0(9.8, 20.5) vs 22.0(18.0, 24.0); Z=2.17, P=0.030), and between the poor prognosis group ( n=13) and the good prognosis group ( n=15; 14.0(10.0, 22.0) vs 22.0(19.8, 25.3); Z=2.47, P=0.013) were significantly different. Compared with the good prognosis group, the cerebral glucose metabolism in the poor prognosis group was decreased in the bilateral frontal lobe, lateral temporal lobe, inferior parietal lobule and cingulate gyrus, but increased in the brainstem, bilateral lentiform nucleus and bilateral paracentral lobule/postcentral gyrus (all t=1.71, all P<0.05). Compared with the non-recurrence group, the metabolism of bilateral medial frontal gyrus, anterior cingulate gyrus, bilateral insula, superior temporal gyrus and thalamus decreased in the recurrence group, while the metabolism of bilateral precentral gyrus, inferior frontal gyrus and bilateral lentiform nucleus increased (all t=1.71, all P<0.05). Conclusion:18F-FDG PET imaging reveals the differences in brain metabolism of anti-LGI1 antibody-related encephalitic patients at baseline with different outcomes (prognosis, recurrence or not), which can provide a new perspective for the clinical evaluation of the disease at baseline.

Objective:To investigate the potential value of cerebral glucose metabolism characteristics in anti-leucine-rich glioma-inactivated protein 1 (LGI1) antibody-related encephalitic patients during acute phase as the clinical indicator of disease outcomes.Methods:From October 2019 to December 2023, 28 patients (18 males, 10 females; age (56.6±11.9) year) with anti-LGI1 antibody-related encephalitis diagnosed at Huashan Hospital, Fudan University were prospectively enrolled. All patients received baseline brain 18F-FDG PET imaging and were divided into different subgroups according to the prognosis (good prognosis and poor prognosis groups) and recurrence (recurrence and non-recurrence groups) after follow-up. The difference of Montreal Cognitive Assessment (MoCA) score between the two groups was compared by Mann-Whitney U test. Statistical parametric mapping (SPM) analysis was used to analyze the PET images of different groups by independent-sample t test, and the characteristics of cerebral glucose metabolism of patients with different outcomes were obtained. Results:MoCA scores between the recurrence group ( n=6) and the non-recurrence group ( n=22; 14.0(9.8, 20.5) vs 22.0(18.0, 24.0); Z=2.17, P=0.030), and between the poor prognosis group ( n=13) and the good prognosis group ( n=15; 14.0(10.0, 22.0) vs 22.0(19.8, 25.3); Z=2.47, P=0.013) were significantly different. Compared with the good prognosis group, the cerebral glucose metabolism in the poor prognosis group was decreased in the bilateral frontal lobe, lateral temporal lobe, inferior parietal lobule and cingulate gyrus, but increased in the brainstem, bilateral lentiform nucleus and bilateral paracentral lobule/postcentral gyrus (all t=1.71, all P<0.05). Compared with the non-recurrence group, the metabolism of bilateral medial frontal gyrus, anterior cingulate gyrus, bilateral insula, superior temporal gyrus and thalamus decreased in the recurrence group, while the metabolism of bilateral precentral gyrus, inferior frontal gyrus and bilateral lentiform nucleus increased (all t=1.71, all P<0.05). Conclusion:18F-FDG PET imaging reveals the differences in brain metabolism of anti-LGI1 antibody-related encephalitic patients at baseline with different outcomes (prognosis, recurrence or not), which can provide a new perspective for the clinical evaluation of the disease at baseline.

Objective:Analyzing the influence of morphological evaluation parameters of blastocysts, including days of blastocyst development [day 5 (D5) and day 6 (D6)], degree of blastocyst expansion (4, 5, 6), inner cell mass and trophectoderm grade, on the occurrence of chromosomal karyotype abnormalities of chorionic villi in missed abortion after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and fresh/frozen-thawed single blastocyst transfer. Methods:The clinical data of patients with missed abortion after IVF/ICSI treatment and fresh/frozen-thawed single blastocyst transfer from February 2015 to February 2023 in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University were included. Using a case-control study, the data were divided into two groups according to the detection results of chromosomal copy number variations (CNVs) in chorionic villi of missed abortion abnormal karyotype group ( n=139) and normal karyotype group ( n=82). The baseline data between the two groups were compared. Univariate logistic regression was used to investigate the effect of blastocyst morphological rating parameters on the occurrence of chromosomal karyotype abnormalities of chorionic villi in aborted tissues, and multivariate logistic regression was also used to adjust confounding factors. Results:Male age [(34.12±6.49) years], sperm morphology rate [5.00 (4.00,6.00)%] and female age [33.00 (30.00, 37.00) years] in abnormal karyotype group were higher than those in the normal karyotype group [(32.38±4.69) years, 4.00 (2.00,5.00)% and 31.50 (29.00,34.00) years], and the differences were statistically significant ( P=0.022, P=0.020, P=0.009). Univariate and multivariate logistic regression analyses showed that days of blastocyst development, degree of blastocyst expansion, inner cell mass and trophectoderm grade did not increase the risk of chromosomal karyotype abnormalities of chorionic villi (all P>0.05). Conclusion:There is no significant correlation between blastocyst morphological evaluation parameters and chromosomal karyotype abnormalities in chorionic villi of missed abortion after fresh/frozen-thawed single blastocyst transfer with IVF/ICSI treatment.

Objective:Analyzing the influence of morphological evaluation parameters of blastocysts, including days of blastocyst development [day 5 (D5) and day 6 (D6)], degree of blastocyst expansion (4, 5, 6), inner cell mass and trophectoderm grade, on the occurrence of chromosomal karyotype abnormalities of chorionic villi in missed abortion after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and fresh/frozen-thawed single blastocyst transfer. Methods:The clinical data of patients with missed abortion after IVF/ICSI treatment and fresh/frozen-thawed single blastocyst transfer from February 2015 to February 2023 in the Reproductive Center of the Third Affiliated Hospital of Zhengzhou University were included. Using a case-control study, the data were divided into two groups according to the detection results of chromosomal copy number variations (CNVs) in chorionic villi of missed abortion abnormal karyotype group ( n=139) and normal karyotype group ( n=82). The baseline data between the two groups were compared. Univariate logistic regression was used to investigate the effect of blastocyst morphological rating parameters on the occurrence of chromosomal karyotype abnormalities of chorionic villi in aborted tissues, and multivariate logistic regression was also used to adjust confounding factors. Results:Male age [(34.12±6.49) years], sperm morphology rate [5.00 (4.00,6.00)%] and female age [33.00 (30.00, 37.00) years] in abnormal karyotype group were higher than those in the normal karyotype group [(32.38±4.69) years, 4.00 (2.00,5.00)% and 31.50 (29.00,34.00) years], and the differences were statistically significant ( P=0.022, P=0.020, P=0.009). Univariate and multivariate logistic regression analyses showed that days of blastocyst development, degree of blastocyst expansion, inner cell mass and trophectoderm grade did not increase the risk of chromosomal karyotype abnormalities of chorionic villi (all P>0.05). Conclusion:There is no significant correlation between blastocyst morphological evaluation parameters and chromosomal karyotype abnormalities in chorionic villi of missed abortion after fresh/frozen-thawed single blastocyst transfer with IVF/ICSI treatment.

Objective:To standardize the quantitation of 18F-Florbetapir PET SUV ratio (SUVR) to the Centiloid (CL) scale, and analyze the positive rate of β-amyloid (Aβ) in Chinese Preclinical Alzheimer′s Disease (AD) Study (C-PAS). Methods:11C-Pittsburgh compound B(PIB) and 18F-Florbetapir images from public databases " Standard PIB" and " Florbetapir Calibration" were preprocessed by statistical parametric mapping (SPM) 12, and the transformative formulas from SUVR to CL were derived. Then a total of 942 subjects (357 males, 585 females; age (66.4±8.1) years) from C-PAS who received 18F-Florbetapir PET at the Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University from October 2018 to August 2023 were retrospectively included. CL values were calculated and the Aβ positive rates (CL value≤12, Aβ negative; 12< CL value<30, Aβ subtle pathology; CL value≥30, Aβ positive) of AD, mild cognitive impairment (MCI) and cognitive unimpaired (CU) groups were explored. Data were analyzed by using Kruskal-Wallis rank sum test, Dunn′s test (Bonferroni correction ) and χ2 test. Results:The formula for the 18F-Florbetapir SUVR converted to CL was CL=179.64×SUVR_Florbetapir-186.95. In the C-PAS cohort, the SUVR, CL value, Aβ positive rate (including subtle pathology) of patients with clinically diagnosed AD were 1.29±0.22, 43.97±39.23, 71.80%(140/195), which were 1.04(1.02, 1.14), 1.16(-4.04, 17.14), 28.50%(61/214) for patients with MCI, and 1.04(1.01, 1.08), 0.54(-5.29, 7.69), 15.38%(82/533) for CU subjects, respectively. SUVR, CL value and the ratio of negative, subtle and positive Aβ pathology of the above three groups exhibited statistical differences ( H=148.30, H=148.30, χ2=262.12, all P<0.001). Besides, mixed MCI group exhibited higher CL values ((2.45(-1.54, 46.32) vs -1.58(-6.33, 7.20); H=8.21, P=0.016; z=2.81, P=0.015) and Aβ positive rate (including subtle pathology) (41.18%(14/34) vs 14.64%(6/41); χ2 values: 12.71 and 10.63, both P<0.01), compared to non-amnestic MCI group. The CL values and Aβ positive rates were also increased with age in CU group. Conclusion:This study validates the feasibility of the CL formula with 18F-Florbetapir images and reveals Aβ deposition in C-PAS cohort, which can lay the foundation for multi-center Aβ PET studies in China.

Objective:To compare the effects of different reference brain regions on the semi-quantitative SUV ratio (SUVR) of 18F-Florzolotau PET images of Alzheimer′s disease (AD). Methods:The 18F-Florzolotau PET images of 28 (13 males, 15 females, age (57.3±9.5) years) normal controls (NC), 19 patients (4 males, 15 females, age (73.3±7.3) years) with β-amyloid (Aβ)-positive mild cognitive impairment (MCI) and 40 patients (19 males, 21 females, age (61.9±9.1) years) with AD were collected from Huashan Hospital, Fudan University between November 2018 and July 2020. Six semi-quantitative reference brain regions were defined, including whole cerebellum (WC), cerebellar gray matter (GM), cerebellar white matter (WM), parametric estimation of reference signal intensity (PERSI), WC after partial volume correction (WC_pvc), cerebellar GM after partial volume correction (GM_pvc). SUVR was calculated for 14 ROIs, which included the whole brain defined by the automated anatomical labeling (AAL) template, fusiform, inferior temporal, lingual, middle temporal, occipital, parahippocampal, parietal, posterior cingulate, precuneus defined by the AAL template, and Meta ROI composed of the above brain regions, and braak_Ⅰ-Ⅱ, braak_Ⅲ-Ⅳ, braak_Ⅴ-Ⅵ defined by the Desikan Killiany template. AUC was used to evaluate the classification ability of SUVR, and the correlation between SUVR and clinical scale scores were assessed by Spearman rank correlation analysis. Results:The SUVRs of most brain regions showed a steady upward trend in the AD disease spectrum. In the classification task of NC and MCI, the overall performance of SUVR based on WC_pvc was relatively optimal (AUCs: 0.975-1.000). In the classification task of NC and AD, SUVRs of 10 ROIs based on the WC_pvc method showed the relatively best performance (AUCs: 0.976-1.000). The correlation between SUVR of fusiform based on cerebellar WM and mini-mental state examination (MMSE) score was the strongest ( rs=-0.72, P<0.001), and the SUVR of precuneus based on WC_pvc showed the strongest correlation with clinical dementia rating (CDR) score ( rs=0.78, P<0.001). Conclusion:The SUVR based on WC_pvc method performs well in classification and correlation tasks, and is recommended to be used in semi-quantification of 18F-Florzolotau PET images of AD.

Objective:To investigate the application of (4R)-4-(3-[ 18F]fluoranyl-5-fluorophenyl)-1-((3-methylpyridin-4-yl)methyl)pyrrolidin-2-one( 18F-SynVesT-1), a synaptic vesicle glycoprotein 2A (SV2A) radioactive tracer, in patients with Alzheimer′s disease (AD). Methods:A total of 20 AD patients (2 males, 18 females, age (66.4±8.1) years) with positive β-amyloid (Aβ) deposition and 20 normal controls (NC; 9 males, 11 females, age (62.6±8.6) years ) without Aβ deposition were retrospectively recruited from Huashan Hospital, Fudan University between December 2021 and December 2022. All of them underwent 18F-SynVesT-1 PET/MR and 18F-Florbetapir (AV45) PET/CT scans. Preprocessing of brain 18F-SynVesT-1 PET images was carried out using statistical parametric mapping (SPM). The differences of the uptke of 18F-SynVesT-1 (synaptic density) between two groups based on ROI were compared by using either the independent-sample t test or Mann-Whitney U test. Spearman rank correlation analysis was performed to assess the relationship between synaptic density and cognitive performance. For voxelwise analysis, a general linear model was constructed to analyze differences in synaptic density between the two groups using the independent-sample t test. Furthermore, a multiple linear regression model was developed to explore the relationship between synaptic density and cognitive performance. Results:Compared to the NC group, the AD group exhibited significant widespread reduction in synaptic density across the cortical regions ( P<0.05, false discovery rate (FDR)-corrected), particularly in the medial temporal lobe (0.84±0.09 vs 1.04±0.09; t=-6.95, P<0.001), lateral temporal lobe (1.15±0.13 vs 1.31±0.08; t=-4.56, P<0.001), and lateral parietal lobe (1.24(1.04, 1.26) vs 1.32(1.23, 1.39); z=-3.25, P=0.001). Moreover, synaptic density in extensive cortical regions showed a positive correlation with mini-mental state examination (MMSE) and Montreal cognitive assessment-basic (MoCA-B) scores ( P<0.05, FDR-corrected). Notably, significant associations were observed between MMSE and MoCA-B scores and synaptic density in the lateral temporal lobe ( rs values: 0.71, 0.74, both P<0.001) and medial temporal lobe ( rs values: 0.71, 0.74, both P<0.001). Conclusions:18F-SynVesT-1 PET imaging is a valuable tool for evaluating synaptic density, specifically in the context of AD. The observed widespread reduction in synaptic density across cortical regions of patients with AD are closely related to cognitive decline.

Objective:To perform harmonization based on the ComBat method for PET brain imaging scanned by different types of scanners from the same manufacturer and explored its effect on center effect.Methods:The three-dimensional (3D) Hoffman brain model was scanned by two different PET/CT instruments (Siemens Biograph64 TruePoint and Biograph128 mCT). Fourteen healthy subjects (8 males, 6 females, age: (57.7±9.5) years) underwent 18F-FDG PET/CT on Siemens Biograph64 TruePoint and 12 healthy subjects (9 males, 3 females, age: (55.8±10.5) years) underwent 18F-FDG PET/CT on Siemens Biograph128 mCT (all from Huashan Hospital, Fudan University; from November 2020 to March 2023). The whole brain was divided into 116 brain regions based on the anatomical automatic labeling (AAL) brain template. The ComBat method was applied to harmonized the PET data from brain model and healthy subjects. Mann-Whitney U test was performed on the radioactive counts and SUV ratios (SUVR) before and after homogenization acquired by both PET/CT instruments. Voxel-based statistical parametric mapping (SPM) independent-sample t test was also performed on data of healthy subjects. Results:In 3D Hoffman brain model, radioactivity counts (5 590.33(4 961.67, 6 102.95) vs 6 116.03(5 420.97, 6 660.66); z=-9.35, P<0.001) and SUVR (1.35(1.19, 1.47) vs 1.37(1.21, 1.49); z=-3.63, P<0.001) were significantly different between the two PET/CT scanners before harmonization and not after harmonization (radioactivity counts: 5 845.95(5 192.68, 6 378.63) vs 5 859.17(5 193.84, 6 380.52); SUVR: 1.35(1.20, 1.48) vs 1.36(1.20, 1.49); both z=-0.68, both P=0.498). In the healthy subjects, radioactive counts in 19 brain regions (12 422.78(11 181.60, 13 424.28)-18 166.40(15 882.80, 18 666.27); z values: from -3.24 to -2.06, all P<0.05) and SUVR in 40 brain regions (1.46(1.41, 1.52)-2.28(2.16, 2.36); z values: from -3.65 to -1.70, all P<0.05) were significantly different between the two scanners before harmonization, while after homogenization there were no statistical differences for all 116 brain regions (radioactivity counts: 9 243.55(8 502.38, 9 854.87)-20 419.60(19 931.51, 21 179.43); z values: from -0.72 to 0, all P>0.05; SUVR: 1.04(1.01, 1.09)-2.32(2.24, 2.40); z values: from -0.82 to 0, all P>0.05). SPM showed that significant differences of glucose metabolism in the cerebral cortex, basal ganglia, midbrain and cerebellum were found in healthy subjects between the two PET/CT scanners before homogenization, and brain regions with obvious differences reduced after homogenization. Conclusion:ComBat harmonization method is efficient at removing the center effect among different types of PET/CT scanners from the same manufacturer and may provide a simple and easy-to-implement homogenization for multicenter brain imaging studies.