1.Diffusion tensor imaging analysis index along the perivascular space for assessing age-related functional changes in glymphatic system
Xiaofeng CHEN ; Hao ZHANG ; Yulin LIN ; Jiada YANG ; Xiaoli XIONG ; Jialin WU ; Weixiong FAN ; Zhiqi YANG
Chinese Journal of Medical Imaging Technology 2025;41(10):1659-1662
Objective To explore the value of diffusion tensor imaging analysis index along the perivascular space(DTI-ALPS)for assessing age-related functional changes in glymphatic system(GS).Methods Totally 27 healthy subjects from Meizhou People's Hospital and 100 healthy subjects from neuroimaging informatics tools and resources collaborator database who underwent T1-weighted magnetization-prepared rapid gradient echo(T1-MPRAGE)and DTI scanning were retrospectively enrolled and divided into youth group(n=38),middle-aged group(n=57)and elderly group(n=32).Automated DTI-ALPS index analysis procedure was used to minimize manual errors and derive DTI-ALPS index.The general data,neuropsychological assessment results and DTI-ALPS indices were compared among groups.Spearman correlation analysis was performed to observe the relationships of DTI-ALPS index and age,gender,as well as neuropsychological scores.Results The average age in youth group,middle-aged group and elderly group was(28.5±5.8),(53.7±6.8)and(73.8±2.3)years,respectively.No significant difference of DTI-ALPS index was found between middle-aged group and elderly group(P>0.05),which were both lower than that in youth group(both P<0.05).DTI-ALPS index was weakly negatively correlated with age(rs=-0.340,P<0.001),but not significantly correlated with gender nor neuropsychological assessment results(both P>0.05).Conclusion DTI-ALPS index was negatively correlated with age in healthy individuals,hence having potential utility for assessing age-related functional changes in GS.
2.Diffusion tensor imaging analysis index along the perivascular space for assessing age-related functional changes in glymphatic system
Xiaofeng CHEN ; Hao ZHANG ; Yulin LIN ; Jiada YANG ; Xiaoli XIONG ; Jialin WU ; Weixiong FAN ; Zhiqi YANG
Chinese Journal of Medical Imaging Technology 2025;41(10):1659-1662
Objective To explore the value of diffusion tensor imaging analysis index along the perivascular space(DTI-ALPS)for assessing age-related functional changes in glymphatic system(GS).Methods Totally 27 healthy subjects from Meizhou People's Hospital and 100 healthy subjects from neuroimaging informatics tools and resources collaborator database who underwent T1-weighted magnetization-prepared rapid gradient echo(T1-MPRAGE)and DTI scanning were retrospectively enrolled and divided into youth group(n=38),middle-aged group(n=57)and elderly group(n=32).Automated DTI-ALPS index analysis procedure was used to minimize manual errors and derive DTI-ALPS index.The general data,neuropsychological assessment results and DTI-ALPS indices were compared among groups.Spearman correlation analysis was performed to observe the relationships of DTI-ALPS index and age,gender,as well as neuropsychological scores.Results The average age in youth group,middle-aged group and elderly group was(28.5±5.8),(53.7±6.8)and(73.8±2.3)years,respectively.No significant difference of DTI-ALPS index was found between middle-aged group and elderly group(P>0.05),which were both lower than that in youth group(both P<0.05).DTI-ALPS index was weakly negatively correlated with age(rs=-0.340,P<0.001),but not significantly correlated with gender nor neuropsychological assessment results(both P>0.05).Conclusion DTI-ALPS index was negatively correlated with age in healthy individuals,hence having potential utility for assessing age-related functional changes in GS.
3. Analysis of CYP17A1 gene variants in 5 patients with 17-hydroxylase deficiency
Ruizhi ZHENG ; Ziying HU ; Junpeng YANG ; Yun ZHANG ; Yanfang WANG ; Qian YUAN ; Jiada LI
Chinese Journal of Medical Genetics 2019;36(9):877-881
Objective:
To identify pathogenic variants in 5 sporadic patients and two Chinese pedigrees affected with 17-hydroxylase deficiency (17-OHD).
Methods:
Peripheral blood samples were collected with informed consent. Variants of CYP17A1 gene were screened by PCR and Sanger sequencing. Suspected mutations were validated in other members of the pedigrees.
Results:
Gene sequencing has identified a homozygous c. 985_987delTACinsAA (Y329Kfs) mutation in exon 6 of the CYP17A1 gene in 4 patients and the sister of case 3. Case 1 was found to harbor compound heterozygous mutations c. 1459_1467del9 (p.D487_F489del) and c. 1244-3C>A. The parents and brother of cases 2 and 5 were heterozygous carriers of a c. 985_987delTACinsAA(Y329Kfs) mutation.
Conclusion
Mutations of the CYP17A1 gene probably underlie the pathogenesis of 17-OHD, for which c. 985_987delTACinsAA(Y329Kfs) is the most common. The c. 1244-3C>A is a novel mutation. Above results have facilitated genetic counseling for the affected families.
4. Dynamic contrast-enhanced MRI based radiomics model for predicting the complete pathological response to neoadjuvant chemotherapy of breast cancer
Zhiqi YANG ; Xiaofeng CHEN ; Jiada YANG ; Weixiong FAN ; Xiangguang CHEN
Chinese Journal of Radiology 2019;53(9):733-736
Objective:
To explore the value of dynamic contrast-enhanced MRI (DCE-MRI) based radiomics model in predicting the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) of breast cancer.
Methods:
In this retrospective study, 91 patients who had received NAC and had pathological response results were collected in Meizhou people′s hospital from January 2016 to August 2018. A primary cohort consisted of 63 patients and an independent validation cohort consisted of 28 patients. The patients were divided into pCR group of 23 cases and non-pathological complete response (Non-pCR) group of 68 cases. All the patients underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) before NAC. A list of radiomics features were extracted using the A.K software and the corresponding radiomics signature was constructed. Logistic regression was used to develop the prediction model. The predictive ability of the model was tested by using the area under the curve (AUC) of ROC analysis.
Results:
The discrimination performance of radiomics signature yielded a AUC of 0.750 in the primary dataset and a AUC of 0.789 in the validation dataset. The model that incorporated estrogen receptor (ER), progesterone receptor (PR) and radiomics features was developed, and had an AUC of 0.859 in the primary dataset and an AUC of 0.905 in the validation dataset.
Conclusion
The radiomics predictive model, which integrated with the DCE-MRI based radiomics signature, ER and PR, can be used as a promising and applicable adjunct approach for predicting the pCR to NAC of breast cancer.
5.Analysis of CYP17A1 gene variants in 5 patients with 17-hydroxylase deficiency.
Ruizhi ZHENG ; Ziying HU ; Junpeng YANG ; Yun ZHANG ; Yanfang WANG ; Qian YUAN ; Jiada LI
Chinese Journal of Medical Genetics 2019;36(9):877-881
OBJECTIVE:
To identify pathogenic variants in 5 sporadic patients and two Chinese pedigrees affected with 17-hydroxylase deficiency (17-OHD).
METHODS:
Peripheral blood samples were collected with informed consent. Variants of CYP17A1 gene were screened by PCR and Sanger sequencing. Suspected mutations were validated in other members of the pedigrees.
RESULTS:
Gene sequencing has identified a homozygous c.985_987delTACinsAA (Y329Kfs) mutation in exon 6 of the CYP17A1 gene in 4 patients and the sister of case 3. Case 1 was found to harbor compound heterozygous mutations c.1459_1467del9 (p.D487_F489del) and c.1244-3C>A. The parents and brother of cases 2 and 5 were heterozygous carriers of a c.985_987delTACinsAA(Y329Kfs) mutation.
CONCLUSION
Mutations of the CYP17A1 gene probably underlie the pathogenesis of 17-OHD, for which c.985_987delTACinsAA(Y329Kfs) is the most common. The c.1244-3C>A is a novel mutation. Above results have facilitated genetic counseling for the affected families.
Adrenal Hyperplasia, Congenital
;
genetics
;
Exons
;
Female
;
Humans
;
Male
;
Mutation
;
Pedigree
;
Steroid 17-alpha-Hydroxylase
;
genetics

Result Analysis
Print
Save
E-mail