Objective:To explore the interaction effects on brain activity between the smoking addiction and weight status by resting-state functional magnetic resonance imaging.Methods:Retrospective analysis of clinical data and resting-state functional magnetic resonance imaging data were analyzed from 99 recruited subjects from January 2019 to December 2021. All participants were divided into four groups: overweight smokers ( n=24), normal-weight smokers ( n=28), overweight non-smokers ( n=19), and normal weight non-smokers ( n=28). Calculate regional homogeneity (ReHo) to reflect the internal brain activity of the subjects. Two-way ANOVA was used to detect the interaction effects between smoking addiction and overweight on ReHo by SPM12 software, correcting for age, years of education and head motion. Results:The interaction effect between smoking addiction and overweight on ReHo was significant in right superior frontal gyrus(x, y, z=15, 9, 60)(GRF corrected, Pvoxel<0.005, Pcluster<0.05). The ReHo value in the right superior frontal gyrus of overweight smokers was significantly higher than that of normal weight smokers ( t=3.768, P<0.001, Bonferroni corrected). The ReHo values in the right superior frontal gyrus of overweight non-smokers were significantly lower than those of normal weight non-smokers ( t=-3.242, P=0.002, Bonferroni corrected). The ReHo values in the right superior frontal gyurs of normal-weight smokers were significantly lower than those of normal weight non-smokers( t=-3.540, P=0.001, Bonferroni corrected). The ReHo values in the right superior frontal gyrus of overweight smokers were significantly higher than those of overweight non-smokers ( t=3.392, P=0.002, Bonferroni corrected). Correlation analyses showed that the strengthen ReHo value in right superior frontal gyrus was positively associated with pack-year in smoking addicts( r=0.387, P=0.007, Bonferroni corrected). Conclusion:Smoking addiction and overweight have an antagonistic effect on brain activity in the right superior frontal gyrus, which may provide potential therapeutic targets for individuals with comorbidity of smoking addiction and overweight.

Objective To investigate the application value of quantitative relaxation parameters based on synthetic MRI technology in the differential diagnosis of parotid gland tumors.Methods Conventional MRI and synthetic MRI data of 59 patients with patho-logically confirmed parotid gland tumors were analyzed retrospectively.T1,T2,and proton density(PD)values of the tumor were extracted from T1,T2 and PD mapping.The differences in quantitative relaxation parameters of pleomorphic adenomas,Warthin tumors,and malignant tumors were further compared.Diagnostic performance of each quantitative relaxation parameter was assessed and com-pared via receiver operating characteristic(ROC)curve and DeLong test.Results T2 value was significantly higher in pleomorphic adenomas than that in malignant tumors(P<0.05).The T1,T2,and PD values of pleomorphic adenomas and malignant tumors were significantly higher than those of Warthin tumors(P<0.05).The area under the curve(AUC)of the T2 value in differentia-ting pleomorphic adenomas from malignant tumors was 0.794.The AUC for T1 value(0.939)in differentiating Warthin tumors from malignant tumors was significantly higher than that of T2(0.873,P=0.341)and PD(0.927,P=0.891)values,without sta-tistically significant difference.The AUC for T2 value(0.968)in differentiating pleomorphic adenomas from Warthin tumors was significantly higher than that of T1(0.931,P=0.360)and PD(0.876,P=0.120)values,without statistically significant difference.Conclusion Quantitative relaxation parameters based on synthetic MRI technology may contribute to differentiating pleomorphic adenomas,Warthin tumors,and malignant tumors of the parotid gland.

Objective To observe the changes in functional connectivity(FC)of raphe nucleus in patients with first-episode depression complicated with suicidal ideation(SI).Methods Ninety-eight first-episode depression patients were prospectively enrolled and assigned into SI group(n=56)or non SI group(n=42)based on complicated with SI or not,while 47 healthy volunteers were recruited as control group.Resting-state functional MRI was performed.FC between dorsal raphe nucleus(DRN),median raphe nucleus(MRN)and the whole brain were analyzed and compared among 3 groups and between each 2 groups,and the correlations of FC of different brain regions with clinical data of SI group were explored.Results Compared with control group,FC between DRN and left cerebellum and left putamen in SI group and non SI group decreased(all P＜0.05),between MRN and right inferior temporal gyrus increased but between MRN and left inferior frontal gyrus,right superior occipital gyrus,left inferior parietal lobule,left putamen decreased(all P＜0.05).FC between DRN and left putamen in SI group was higher than that in non SI group(P＜0.05).FC between MRN and right central posterior gyrus of SI group increased compared with that in the rest 2 groups(both P＜0.05).FC between MRN and left putamen in SI group was positively correlated with body mass score of Hamilton depression scale-24(HAMD-24)(rs=0.297,P=0.026).Conclusion Abnormal changes of FC between raphe nucleus and cortex,also between raphe nucleus and subcortical area occurred,and FC between MRN and left putamen positively correlated with body mass score of HAMD-24 in patients with first-episode depression complicated with SI.

Objective To investigate the value of three-dimensional amide proton transfer(3D APT)imaging and multi-model diffusion weighted imaging(DWI)in evaluating the histological grade of cervical squamous cell carcinoma(CSCC).Methods A total of 54 patients with CSCC at different grades were prospectively included.All subjects underwent pelvic 3D APT and multi-b-value DWI sequences on a 3.0T MR scanner.Two radiologists blindly measured the amide proton transfer(APT)values of all continuous layers of the lesion,the apparent diffusion coefficient(ADC)of the mono-exponential-model of DWI,the ture-diffusion coefficient(D),pseudo-diffusion coefficient(D*),perfusion fraction(f)of intravoxel incoherent motion(IVIM)imaging,and the mean diffusivity(MD)and mean diffusion kurtosis(MK)values of diffusion kurtosis imaging(DKI).The receiver operating characteristic(ROC)curve was used to analyze the efficacy of each parameter in identifying different pathological grades of CSCC.Results The APT mean signal intensity(SImean),APT maximum signal intensity(SImax)and maximum mean diffusion kurtosis(MKmax)values of the high-grade group were statistically higher than those of the low-grade group,and the minimum apparent diffusion coefficient(ADCmin),minimum ture-diffusion coefficient(Dmin),and minimum mean diffusivity(MDmin)values were statistically lower than those of the low-grade group(P＜0.05).The area under the curve(AUC)increased after the combination of APT parameters and DWI parameters,which was obviously higher than that of a single parameter(P＜0.05).Conclusion Both APT and multi-model DWI are helpful to identify the degree of differentiation of CSCC,and the diagnostic value of combining the two is higher.

Objective:To explore the dynamic temporal variability of brain functional networks in individuals with internet gaming disorder(IGD)using dynamic functional connectivity density(dFCD).Methods:From January 2019 to December 2021, resting-state functional magnetic resonance imaging data were recruited from 55 patients with IGD and demographically matched 50 healthy controls.Data analysis was performed by IBM SPSS 21.0 software. The functional connectivity density(FCD) combined with sliding window analysis was employed to calculate the temporal variability of global functional connectivity.FCD in whole brain was further devided into ipsilateral and cotralateral parts.The temporal variability of dFCD was further quantified utilizing the standard deviations of whole brain, intra-, and inter-hemispheric FCD. Finally, Pearson correlation analysis was performed between dFCD variance in differential brain regions and clinical behaviors.Results:The inter-hemispheric dFCD in the left posterior cingulate cortex(-0.16±0.24) and the left precuneus(-0.08±0.23) in patients with IGD were lower that those in healthy controls(0.002±0.260, 0.12±0.36)( t=-3.502, -4.160, both P<0.05).And the intra-hemispheric dFCD in the left calcarine, the left precuneus, and the left posterior cingulate cortex in patients with IGD were lower that those in healthy controls( t=-3.809, -4.360, -3.561, all P<0.05).Moreover, abnormal global dFCD variability of the calcarine and ipsilateral dFCD variability of the PCC negatively correlated with the severity of IGD( r=-0.380, -0.413, both P<0.05). Conclusion:Patients with IGD show intra-and inter-hemispheric dFCD differences in the visual attention network and default mode network, which may respond to the underlying neurobiological basis for the presence of cognitive dysfunction and impaired concentration.

Objective To explore the value of 3D amide proton transfer weighted imaging(APTWI),diffusion weighted imaging(DWI)and the combination for differentiating benign and malignant bone and soft tissue tumors.Methods Non-contrast MRI,APTWI and DWI of pelvis or lower extremity were prospectively acquired in 96 patients with bone and soft tissue tumors.MTRasym and ADC maps were obtained based on APTWI and DWI calculation with an offset of 3.5 ppm,respectively,and the maximum asymmetric magnetization transfer rate(MTRasym)(MTRasymmax),the mean MTRasym(MTRasymmean)and the minimum MTRasym(MTRasymmin),as well as the maximum apparent diffusion coefficient(ADC)(ADCmax),the mean ADC(ADCmean)and the minimum ADC(ADCmin)values were measured.The above parameters were compared between benign and malignant tumors.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of APTWI,DWI and the combination.Results Among 96 patients,there were 41 benign and 55 malignant pelvic or lower limb bone and soft tissue tumors.In benign tumors,MTRasym(3.5 ppm)values,including MTRasymmax.MTRasymmean and MTRasymmin were significantly higher,whereas ADC values including ADCmax,ADCmeanand ADCmin were significantly lower than those in malignant tumors(all P＜0.05).AUC of MTRasymmax and ADCmin for differentiating benign and malignant bone and soft tissue tumors was 0.791 and 0.873,respectively,being not statistically different(P=0.122),but both lower than that of their combination(AUC=0.944,P＜0.001,P=0.041).Conclusion APTWI combined with DWI had high efficacy for differentiating benign and malignant bone and soft tissue tumors.

Objective:To compare the efficacy of amide proton transfer-weighted (APTw) imaging with time-dependent diffusion MRI (td-dMRI) in the diagnosis of malignant breast lesions.Methods:This study was a cross-sectional study. The clinical, pathological and imaging data of patients with breast lesions admitted to the First Affiliated Hospital of Zhengzhou University from March to August 2023 were prospectively analyzed. All patients firstly underwent T 2WI, diffusion-weighted imaging, followed by dynamic contrast-enhanced MRI (DCE-MRI), and finally APTw imaging and td-dMRI were performed for breast lesions using DCE-MRI as reference. Reconstructed images from APTw imaging measured lesions with a frequency shift of 3.5 ppm asymmetric magnetic susceptibility MTR asym(+3.5 ppm). The apparent diffusion coefficient (ADC) values at different oscillating frequency gradients (ADC PGSE, ADC 17 Hz, ADC 33 Hz values) were measured using reconstructed td-dMRI images. Independent sample t-test was used to compare APTw imaging, td-dMRI parameter differences between benign and malignant breast tumors, breast malignant tumors with different molecular types [estrogen receptor (ER) negative and positive, progesterone receptor (PR) negative and positive, human epidermal growth factor receptor (HER-2) negative and positive, proliferation index (Ki-67) low and high expression] and different histological grades (grade Ⅱ and Ⅲ). Receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of APTw imaging and td-dMRI parameters in differentiating benign and malignant breast tumors, molecular classification and histological grading of malignant breast lesions. Results:There were 171 lesions in 171 patients, including 103 malignant lesions and 68 benign lesions. Histological grades were grade Ⅱ in 51 cases and grade Ⅲ in 38 cases of 89 cases of invasive carcinoma. Totally 98 cases of malignant lesions were included in molecular typing analysis, 36 cases were ER negative and 62 cases were ER positive. PR was negative in 51 cases and positive in 47 cases. There were 33 negative HER-2 patients, 65 positive HER-2 patients. There were 50 cases of low Ki-67 expression and 48 cases of high Ki-67 expression. The MTR asym(+3.5 ppm) value of malignant breast lesions was higher than that of benign lesions ( t=5.76, P<0.001), and the ADC PGSE, ADC 17 Hz and ADC 33 Hz values were lower than those of benign breast lesions ( t was 4.84, 4.62, 4.01, respectively, all P<0.001). MTR asym(+3.5 ppm) had the highest AUC value (0.83) and the highest specificity (90.38%), and ADC PGSE had the highest sensitivity (85.86%). There were no significant differences in MTR asym(+3.5 ppm), ADC PGSE, ADC 17 Hz and ADC 33 Hz between grade Ⅱ and grade Ⅲ histological grades of malignant breast lesions (all P>0.05). The ADC PGSE value of ER negative was higher than that of ER positive ( t=2.34, P=0.018), and the AUC for distinguishing ER positive from negative was 0.64. The ADC PGSE and ADC 17 Hz values of PR negative were higher than those of PR positive ( t=2.87, 2.81, P=0.004, 0.006, respectively), and their AUCs for identifying PR positive versus negative breast malignant lesions were 0.68 and 0.67, respectively. The ADC 33 Hz value of negative HER-2 was lower than that of positive HER-2 ( t=3.00, P=0.003), and the AUC for distinguishing positive and negative HER-2 was 0.67. There were no significant differences in other parameters among different subtypes of breast malignant lesions (all P>0.05). Conclusion:Compared with td-dMRI, APTw imaging is more effective in differentiating benign and malignant lesions of breast tumors, and ADC values at different gradient oscillation frequencies obtained by td-dMRI show better diagnostic efficacy in differentiating different molecular types of breast malignant lesions.

Objective:To investigate the changes in gray matter volume (GMV) and abnormalities in structural covariant network (SCN) patterns in patients with chronic pontine infarction (PI).Methods:Patients with unilateral chronic PI (case group) with the first onset admitted to the First Affiliated Hospital of Zhengzhou University and Tianjin Medical University General Hospital from October 2014 to June 2021 were prospectively included. At the same time, healthy subjects matched with age, gender and education years (normal control group) were included. High-resolution three-dimensional T 1 structural MRI images and behavioral scores of the subjects were collected. The voxel-based morphometry and two-sample t test were used to explore the differences in GMV between the groups. Using GMV differential brain regions as seed points, SCN was constructed to explore the abnormality of structural covariant patterns in patients with PI. Spearman rank correlation analysis was used to analyze the correlation between GMV in differential brain regions and behavioral scores. Results:A total of 60 patients with PI were enrolled, including 33 left PI and 27 right PI, while 34 healthy controls were also enrolled. Compared with the normal control group, the GMV in bilateral posterior cerebellar lobe decreased significantly in the left PI group, and the GMV in left anterior and posterior cerebellar lobes and the right posterior cerebellar lobe decreased significantly in the right PI group (Gaussian random field correction with voxel level P<0.001 and cluster level P<0.05, cluster voxel >20), and there was a significant correlation between GMV values in the left anterior and posterior cerebellar lobes and the right posterior cerebellar lobe and the motor function score ( P<0.05). In addition, compared with the normal control group, the right PI group had broader covariate brain regions and a significant increase in the number of structural connections between covariate brain regions (family-wise error correction with voxel level P<0.05, cluster voxel >20). Conclusions:The GMV in bilateral posterior cerebellar lobe decreases significantly in patients with chronic PI, and were secondary to broader covariate brain regions and structural connections. This may be the neural mechanism of impaired behavioral function in patients with PI.

Objective:To investigate the alterations of resting-state functional connectivity (RSFC) in ventral tegmental area (VTA) and substantia nigra (SN) among male smokers, and its correlation with clinical characteristics of smoking.Methods:The resting-state functional magnetic resonance data of 131 subjects recruited from January 2014 to December 2018 were analyzed retrospectively, including 76 smokers (smoking group) and 55 non-smokers (control group). VTA/SN was selected as regions of interest (ROI), and then calculated RSFC between VTA/SN and the whole brain.Based on SPM12 software, independent sample t-test was conducted to compare the differences in RSFC between smoking group and control group.Based on SPSS 22.0 software, Pearson correlation analysis was used to investigate the relationships between the RSFC of brain regions with significant differences and Fagerstr?m test for nicotine dependence (FTND) score, pack-year of smokers. Results:Compared with control group, the results showed decreased RSFC between VTA and the brain regions related default mode network (DMN)(including posterior cingulate cortex, right anterior cuneiform lobe, bilateral superior temporal gyrus, right middle temporal gyrus and right inferior parietal lobule), and regions of limbic system(including right marginal lobe and right angular gyrus), right calcarine (MNI: x, y, z=24, -55, -14) and left insula(MNI: x, y, z=-35, -11, 9) in smoking group(GRF corrected, voxel level P<0.005, cluster level P<0.05). Taking SN as the seed, there was no significant difference between smoking group and control group ( P>0.05). RSFC of VTA-left superior temporal gyrus was positively correlated with pack-year( r=0.243, P=0.034) and FTND ( r=0.282, P=0.014). VTA-left insula RSFC was positively correlated with FTND ( r=0.316, P=0.006). Conclusion:The RSFC in the mesolimbic system and the VTA-DMN circuit exist abnormal changes in smokers.To some extent, it may explain the reward deficits and dysfunction of emotion regulation in smokers, which may provide clues for further understanding the mechanism of tobacco addiction.

Objective:To investigate the diagnostic value of X-ray mammography, ultrasound and MRI in breast cancer with silicone implants.Methods:The clinical and imaging data of 20 patients with breast cancer in women with silicone implants in the First Affiliated Hospital of Zhengzhou University from March 2014 to October 2021 were analyzed retrospectively. The mammography, ultrasound and MRI findings were analyzed, and the differences in detection rate, diagnostic accuracy and omission diagnostic rate of breast cancer in women with implants were compared among the three imaging methods.Results:Compared with mammography, both ultrasound and MRI were able to display the prosthesis and breast lesions completely. There were significant differences in detection rate, diagnostic accuracy and omission diagnostic rate among mammography, ultrasound and MRI. And the detection rate and diagnostic accuracy of MRI in breast cancer in women with implants were higher than those of mammography, and the omission diagnostic rate was lower.Conclusions:Ultrasound and MRI are superior to mammography in evaluating breast cancer after silicone prosthesis implantation, and MRI has more advantages in guiding clinical diagnosis and treatment.