1.Expression and significance of STIP1 and ER-αin papillary thyroid carcinomas
Yue YANG ; Zhiyong ZHANG ; Hui FANG ; Yaojie HU ; Chenpeng WU ; Yueming HU ; Guyue ZHANG ; Ying YANG
Chinese Journal of Clinical and Experimental Pathology 2015;(9):1017-1020
Purpose To detect the expressions of stress induced phosphoprotein 1 (STIP1) and estrogen receptor-α(ER-α) in papil-lary thyroid carcinoma and to analyse the relationship between STIP1 and ER-α. Methods 54 cases of paraffin-embedded tissues of papillary thyroid carcinoma, 18 cases of papillary thyroid carcinoma with lymph node metastasis, 15 cases of Hashimoto’ s thyroiditis, 10 cases of adjacent normal thyroid tissue were collected. The expressions of STIP1 and ER-αwere detected by immunohistochemistry, and the relationship between the expressions and clinicopathological features of papillary thyroid carcinoma was analyzed. Results The expression of STIP1 and ER-α in papillary thyroid cancer group ( 55. 6% and 44. 4%) were higher than that of normal thyroid group (10% and 0) and Hashimoto’s thyroiditis group (8. 3% and 0, all P<0. 05). STIP1 expressions was related to lymph node metastasis ( P<0. 05 ) , while ER-α expression was related to gender, TG-Ab and the merger of nodular goiter, but not related to lymph node metastasis (P>0. 05). The expressions of STIP1 and ER-α in papillary thyroid carcinoma were not related to patients’ age , tumor location, number of tumors, tumer size, invasion of capsule, the concomitant Hashimoto’ s thyroiditis and TPO-Ab ( all P>0. 05). And the expressions of STIP1 was not related to gender, TG-Ab and the merger of nodular goiter (all P>0. 05). A positive correlation was found between the expressions of STIP1 and ER-αin thyroid papillary carcinoma (P<0. 05). Conclusion STIP1 and ER-α in papillary thyroid carcinoma may be related with lymph node metastasis.
2.Correlation between CT characteristics and epidermal growth factor receptor mutations in pulmonary adenocarcinoma
Liming CHANG ; Zhiyong ZHANG ; Xuemei LI ; Haixia LIU ; Xinyu YANG ; Limin YAN ; Chenpeng WU
Journal of Practical Radiology 2018;34(12):1867-1869,1873
Objective To analyze the correlation between CT characteristics and epidermal growth factor receptor (EGFR)mutations in pulmonary adenocarcinoma.Methods 82 patients (87 lesions)with pulmonary adenocarcinoma were retrospectively collected.All patients were underwent CT examination before operation,and EGFR gene were determined after operation.Results EGFR mutations were found in 44 of 87 lesions (50.57%).The EGFR mutations rate was 50.00% in females and 47.50% in males,there was no statistical difference between genders (P=0.821).The EGFR mutations rate was 46.55% in the right lung and 58.62% in the left lung,while no statistically significant difference was found (P=0.289).Among all the CT characteristics,the mutations rate was 63.89% in spiculated lesions and 60.71% in lesions with pleural indentation,the differences was statistically significant (P<0.05).The mutations rate was 59.25% in lesions containing solid component and 36.36% in pure ground glass opacity lesions,the difference was statistically significant (P=0.011). There were no statistically differences in lobulation,cavitation and lymphadenectasis (P>0.05).The pleural indentation was the highest in sensitivity (77.27%)and negative predictive value (67.74%).The spiculation was the highest in specificity (69.77%)and positive predictive value (63.89%).Conclusion Among all the CT characteristics,pleural indentation,spiculation and the lesion containing solid component are prone to EGFR mutations.
3.Clinical and pathological analysis of 18 cases of cervical papillary squamous cell carcinoma
Chenpeng WU ; Zhiyong ZHANG ; Xuemei LI ; Lina CHU ; Zhibin FAN ; Yuanyong LI
Clinical Medicine of China 2023;39(3):223-227
Objective:To improve the understanding of cervical papillary squamous cell carcinoma (PSCC), and to provide evidence for the diagnosis and treatment of PSCC.Methods:The clinicopathological and follow-up data of 18 patients diagnosed PSCC by preoperative cervical biopsy in Tangshan Gongren hospital were collected, the correlation of preoperative biopsy, liquid-based cells, and human papilloma virus (HPV) with postoperative pathology and prognosis was analyzed.Results:The concordance rate between preoperative biopsy and postoperative pathology was 50% (9/18). 4 patients showed the characteristic features of PSCC in their liquid-based cells of the 9 patients who were diagnosed as PSCC postoperatively (4/9), the HPV infection rate was 44.4% (4/9), the International Federation of Gynecology and Obstetrics stage were IA1-IB1, no lymph node metastasis, recurrence or death occurred in all patients.Conclusions:Cervical biopsy before operation has certain limitations in the diagnosis of PSCC, which requires a clear diagnosis by postoperative pathology. The HPV infection rate is lower, the stage is earlier and the prognosis is better in PSCC. Some patients can choose a less invasive surgical method than radical surgery.
4.Value of visual analysis and SUVR during 18F-AV45 PET/CT imaging in the diagnosis of mild cognitive impairment and Alzheimer′s disease
Chenpeng ZHANG ; Cheng WANG ; Mei XIN ; Qian XIA ; Liangrong WAN ; Ju QIU ; Qun XU ; Ling YUE ; Shifu XIAO ; Jianjun LIU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2020;40(4):201-206
Objective:To 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. Methods:From 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. Results:The 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<0.01), but could not distinguish NC from MCI (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. Conclusion:Visual 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.
5.Significance of 18F-PI-2620 PET imaging for diagnosing tau protein deposition in patients with different cognitive disorders alongside cognitive correlation analysis
Gan HUANG ; Yan ZHANG ; Cheng WANG ; Mei XIN ; Hongda SHAO ; Yue WANG ; Liangrong WAN ; Ju QIU ; Qun XU ; Jianjun LIU ; Xia LI ; Chenpeng ZHANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2024;44(5):273-278
Objective:To evaluate the values of 18F-PI-2620 PET/CT brain imaging with SUV ratio (SUVR) in the assessment of tau protein deposition in the brain of patients with different cognitive disorders and its correlation with cognition. Methods:This was a cross-sectional study. From December 2019 to November 2022, a total of 67 subjects including 54 patients with Alzheimer′s disease (AD; 21 males, 33 females, age (68.6±7.8) years), 7 patients with mild cognitive impairment (MCI; 1 male, 6 females, age (63.1±11.2) years) and 6 healthy controls (HC; 4 males, 2 females, age (69.0±5.8) years) were enrolled retrospectively in Renji Hospital. All participants were examined by 18F-PI-2620 PET/CT. SUVRs of brain regions were obtained, including frontal lobe, temporal lobe, occipital lobe, parietal lobe, insular lobe, whole brain, as well as 10 independent brain ROIs (amygdala, orbitofrontal cortex, cingulate gyrus, superior occipital gyrus, superior parietal gyrus, inferior angular gyrus, precuneus, inferior temporal gyrus, entorhinal cortex and parahippocampal gyrus), with inferior cerebellum cortex as the reference region. All participants were estimated by cognitive scales(mini-mental state examination (MMSE) and Montreal cognitive assessment (MoCA)). One-way analysis of variance and the least significant difference t test were used to compare the differences of SUVR in each brain region among HC, MCI and AD groups. ROC curve analysis was used to determine the optimal cut-off values of SUVR in each brain region for the differential diagnosis of AD-MCI and AD-HC. Pearson correlation analysis was employed to examine the correlations of SUVR with cognitive scale scores. Results:The SUVR of whole brain was 1.40±0.31 in AD group, 1.08±0.19 in MCI group, and 1.01±0.12 in HC group. SUVR analysis in the whole brain and each brain region could distinguish AD from HC, AD from MCI ( F values: 1.76-10.09, t values: 2.98-7.47, all P<0.05), but could not distinguish HC from MCI ( t values: 0.17-1.53, all P>0.05). ROC curve analysis showed that the best cut-off value of SUVR was 1.18 for whole brain (AUC=0.89), 1.13 for amygdala (AUC=0.94) and 1.26 for parahippocampal gyrus (AUC=0.94) for differential diagnosis of AD and HC, which was 1.06 for whole brain (AUC=0.82), 1.18 for amygdala (AUC=0.88) and 1.28 (AUC=0.88) for infratemporal gyrus to differential diagnosis of AD and MCI. SUVRs of the whole brain, frontal, occipital, parietal, temporal and insula were significantly negatively correlated with MMSE and MoCA cognitive scale scores ( r values: from -0.64 to -0.40, all P<0.05). Conclusions:SUVR quantitative analysis in 18F-PI-2620 PET imaging can assist the differential diagnosis of AD and HC, AD and MCI. The SUVRs of whole brain and five lobes show negative correlations with MMSE and MoCA scores.
6.Diagnostic efficiency of 18F-FDG PET for Alzheimer′s disease in patients with memory impairment
Yan ZHANG ; Chenpeng ZHANG ; Gan HUANG ; Cheng WANG ; Mei XIN ; Hongda SHAO ; Yue WANG ; Liangrong WAN ; Ju QIU ; Qun XU ; Xia LI ; Jianjun LIU
Chinese Journal of Nuclear Medicine and Molecular Imaging 2024;44(12):712-717
Objective:To assess the diagnostic efficiency of 18F-FDG PET for Alzheimer′s disease (AD) in patients with memory impairment. Methods:A retrospective analysis was conducted on 96 patients (40 males, 56 females, age: 69.0(62.8, 74.0) years) initially diagnosed with memory impairment in Renji Hospital, School of Medicine, Shanghai Jiao Tong University between August 2019 and September 2023. The amyloid-tau-neurodegeneration (ATN) criteria, based on 18F-AV45+ 18F-PI-2620 PET/CT+ MRI imaging results, were used as the diagnostic standard for AD. Visual analysis (temporoparietal or posterior cingulate cortex (PCC) hypometabolism) and semi-quantitative analysis methods (PET-SCORE and NeuroQ software analysis (SUV ratio, SUVR)) were applied to evaluate the diagnostic efficiency of 18F-FDG PET imaging for AD. Diagnostic efficiencies of visual assessment and semi-quantitative parameters were compared by χ2 test. Additionally, Pearson correlation analysis was performed to examine the relationship between results of PET-SCORE and cognitive scales. Results:Of the 96 patients initially diagnosed with memory impairment, 61 were clinically diagnosed with AD, while 35 were non-AD patients. Visual assessment of temporoparietal hypometabolism showed the highest sensitivity (91.80%, 56/61), which was significantly different from the sensitivities of PET-SCORE (40.98%(25/61); χ2=29.03, P<0.001) and visual assessment of PCC hypometabolism (77.05%(47/61); χ2=5.82, P=0.016). While semi-quantitative assessment using PET-SCORE demonstrated the highest specificity (100%, 35/35), which was significantly different from the specificities of visual assessment methods (temporoparietal hypometabolism: 17.14%(6/35), χ2=27.03, P<0.001; PCC hypometabolism: 54.29%(19/35), χ2=14.06, P<0.001). PET-SCORE exhibited statistically significant correlations with Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Activities of Daily Living (ADL) scores ( r values: -0.38, -0.36, 0.31, all P<0.01). Conclusions:Among patients initially diagnosed with memory impairment, visual assessment in 18F-FDG PET imaging analysis demonstrates higher sensitivity, while semi-quantitative analysis using PET-SCORE exhibits higher specificity. PET-SCORE shows statistically significant correlation with the severity of cognitive decline.
7. Metabolic patterns of 11C-CFT and 18F-FDG PET/CT imaging in tremor and non-tremor Parkinson′s disease
Mei XIN ; Chenpeng ZHANG ; Cheng WANG ; Liangrong WAN ; Zhiying WANG ; Yangtai GUAN ; Jianjun LIU ; Gang HUANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2019;39(6):344-348
Objective:
To investigate the metabolic patterns of 11C-2-beta-carbomethoxy-3-beta-(4-fluorophenyl)tropane (CFT) and 18F-fluorodeoxyglucose (FDG) PET/CT imaging in patients with tremor and non-tremor Parkinson′s disease (PD).
Methods:
From March 2018 to March 2019, 28 PD patients (19 tremor patients: 14 males and 5 females, age: (59.9±11.4) years; 9 non-tremor patients: 3 males and 6 females, age: (62.6±9.0) years) were enrolled. For the two groups, the 11C-CFT uptake values in caudate nucleus, anterior putamen and posterior putamen as well as 18F-FDG uptake values in all brain regions were calculated by regions of interest (ROI) method. Two-sample