目的研究动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量参数分析在早期乳腺癌诊断中的应用价值。方法选取浙江省台州医院2020年6月至2021年6月收治的乳腺癌患者70例为恶性组,另选取同期浙江...目的研究动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量参数分析在早期乳腺癌诊断中的应用价值。方法选取浙江省台州医院2020年6月至2021年6月收治的乳腺癌患者70例为恶性组,另选取同期浙江省台州医院收治的乳腺纤维腺瘤患者30例为良性组,采用DCE-MRI定量参数对乳腺癌和乳腺纤维腺瘤进行鉴别诊断分析,比较两组的DCE-MRI定量参数容量转移常数(volume transfer constant,K^(trans))、反流速率常数(reflux rate constant,K_(ep))、血管外细胞外间隙容积比(volume of the external vascular extracellular space,V_(e)),比较不同病理类型DCE-MRI定量参数K^(trans)、K_(ep)、V_(e)及DCE-MRI定量参数分析与乳腺癌患者预后的相关性及诊断敏感度、准确性。结果良性组的DCE-MRI定量参数K^(trans)、K_(ep)、V_(e)均低于恶性组(P<0.0001);导管内癌组的K^(trans)、K_(ep)、V_(e)及非特殊类型浸润性癌的K^(trans)、K_(ep)、V_(e)均低于特殊类型癌(P<0.05);雌激素受体(estrogen receptor,ER)表达阴性组的K_(ep)高于ER阳性组(P<0.05);孕激素受体(progesterone receptor,PR)阴性组的K_(ep)高于PR阳性组(P<0.05);ER、PR阴性组的K^(trans)、V_(e)高于ER、PR阳性组;人类表皮生长因子受体-2低表达和过表达组的K^(trans)、K_(ep)、V_(e)比较,差异无统计学意义(P>0.05);与K^(trans)、K_(ep)、V_(e)单一诊断比较,联合诊断对乳腺癌诊断价值较高(P<0.05)。结论DCE-MRI定量参数分析用于早期乳腺癌的诊断,能有效鉴别不同疾病的类型及预后,诊断价值较高。展开更多
Thyroid-stimulating hormone(TSH)-secreting pituitary adenoma is a rare type in all pituitary tumors.Recently we treated a TSH-secreting pituitary tumor in our hospital.The patient had been treated for hyperthyroidism,...Thyroid-stimulating hormone(TSH)-secreting pituitary adenoma is a rare type in all pituitary tumors.Recently we treated a TSH-secreting pituitary tumor in our hospital.The patient had been treated for hyperthyroidism,in which methimazole had been prescribed for 10 years,but the symptoms had not been alleviated.MRI imaging demonstrated the typical features of a sellar tumor,and the diameter was approximately 2.7 cm.Based on the laboratory studies:T3 at 6.27 nmol/L,T4 at 260.10 nmol/L,FT3 at 17.22 pmol/L,FT4 at 76.06 pmol/L,TSH at 9.93 Mu/L,the patient was diagnosed with a TSH-secreting pituitary tumor and central hyperthyroidism.After the patient was given octreotide for one week,he received resection of tumor via single-nostril transsphenoidal approach.After discharge,the patient received the radiation therapy two courses about 20 days.Through the comprehensive treatment of surgery,radiotherapy and drugs,the patient received a satisfactory result.展开更多
Objective The resting-state functional magnetic resonance imaging(rs-f MRI)method was used to observe brain activity and its functional connection upon electroacupuncture stimulation at bilateral uterine acupoints(EX-...Objective The resting-state functional magnetic resonance imaging(rs-f MRI)method was used to observe brain activity and its functional connection upon electroacupuncture stimulation at bilateral uterine acupoints(EX-CA1),as well as to investigate the mechanism of acupuncture in the treatment of gynecological diseases.Methods Twenty-two healthy female subjects were stimulated by electroacupuncture at bilateral uterine acupoints;rs-f MRI data of the brain were acquired and standardized.Degree centrality(DC),amplitude of low-frequency fluctuation(ALFF),and regional homogeneity(ReHo)were used to analyze local spontaneous brain activity via acupuncture.An independent component analysis was used to evaluate the functional connectivity of the resting brain networks after acupuncture.Results Analytical results showed that the neural activity intensity of the precuneus lobe,orbitofrontal cortex,lingual gyrus,amygdala,and posterior central gyrus decreased after acupuncture(voxel P<0.001,cluster P<0.05).Functional connectivity analysis revealed weakened auditory and right frontal-parietal networks(voxel P<0.001,cluster P<0.05),enhanced visual network(voxel P<0.001,cluster P<0.05),and synergistic auditory network and hypothalamic-pituitary system.Conclusion Significant differences in neural activity and functional connectivity in specific brain regions were observed after acupuncture intervention at uterine acupoints;the hypothalamic-pituitary system also showed various active states in different brain regions.It is speculated that the effective mechanism of acupuncture at uterine acupoints is related to the regulation of reproductive hormones,emotional changes,and somatic sensations.Therefore,the methods used in this study could clarify the neural mechanism of uterine-point acupuncture in the treatment of gynecological diseases and may serve as a reference for other studies pertaining to acupuncture.展开更多
The fixed-point algorithm and infomax algorithm are two of the most popular algorithms in independent component analysis(ICA).However,it is hard to take both stability and speed into consideration in processing functi...The fixed-point algorithm and infomax algorithm are two of the most popular algorithms in independent component analysis(ICA).However,it is hard to take both stability and speed into consideration in processing functional magnetic resonance imaging(fMRI)data.In this paper,an optimization model for ICA is presented and an improved fixed-point algorithm based on the model is proposed.In the new algorithms a small step size is added to increase the stability.In order to accelerate the convergence,an improvement on Newton method is made,which makes cubic convergence for the new algorithm.Applying the algorithm and two other algorithms to invivo fMRI data,the results show that the new algorithm separates independent components stably,which has faster convergence speed and less computation than the other two algorithms.The algorithm has obvious advantage in processing fMRI signal with huge data.展开更多
文摘目的研究动态增强磁共振成像(dynamic contrast-enhanced magnetic resonance imaging,DCE-MRI)定量参数分析在早期乳腺癌诊断中的应用价值。方法选取浙江省台州医院2020年6月至2021年6月收治的乳腺癌患者70例为恶性组,另选取同期浙江省台州医院收治的乳腺纤维腺瘤患者30例为良性组,采用DCE-MRI定量参数对乳腺癌和乳腺纤维腺瘤进行鉴别诊断分析,比较两组的DCE-MRI定量参数容量转移常数(volume transfer constant,K^(trans))、反流速率常数(reflux rate constant,K_(ep))、血管外细胞外间隙容积比(volume of the external vascular extracellular space,V_(e)),比较不同病理类型DCE-MRI定量参数K^(trans)、K_(ep)、V_(e)及DCE-MRI定量参数分析与乳腺癌患者预后的相关性及诊断敏感度、准确性。结果良性组的DCE-MRI定量参数K^(trans)、K_(ep)、V_(e)均低于恶性组(P<0.0001);导管内癌组的K^(trans)、K_(ep)、V_(e)及非特殊类型浸润性癌的K^(trans)、K_(ep)、V_(e)均低于特殊类型癌(P<0.05);雌激素受体(estrogen receptor,ER)表达阴性组的K_(ep)高于ER阳性组(P<0.05);孕激素受体(progesterone receptor,PR)阴性组的K_(ep)高于PR阳性组(P<0.05);ER、PR阴性组的K^(trans)、V_(e)高于ER、PR阳性组;人类表皮生长因子受体-2低表达和过表达组的K^(trans)、K_(ep)、V_(e)比较,差异无统计学意义(P>0.05);与K^(trans)、K_(ep)、V_(e)单一诊断比较,联合诊断对乳腺癌诊断价值较高(P<0.05)。结论DCE-MRI定量参数分析用于早期乳腺癌的诊断,能有效鉴别不同疾病的类型及预后,诊断价值较高。
文摘Thyroid-stimulating hormone(TSH)-secreting pituitary adenoma is a rare type in all pituitary tumors.Recently we treated a TSH-secreting pituitary tumor in our hospital.The patient had been treated for hyperthyroidism,in which methimazole had been prescribed for 10 years,but the symptoms had not been alleviated.MRI imaging demonstrated the typical features of a sellar tumor,and the diameter was approximately 2.7 cm.Based on the laboratory studies:T3 at 6.27 nmol/L,T4 at 260.10 nmol/L,FT3 at 17.22 pmol/L,FT4 at 76.06 pmol/L,TSH at 9.93 Mu/L,the patient was diagnosed with a TSH-secreting pituitary tumor and central hyperthyroidism.After the patient was given octreotide for one week,he received resection of tumor via single-nostril transsphenoidal approach.After discharge,the patient received the radiation therapy two courses about 20 days.Through the comprehensive treatment of surgery,radiotherapy and drugs,the patient received a satisfactory result.
基金National Nature Science Foundation of China(61872225)Natural Science Foundation of Shandong Province(ZR2020KF013,ZR2020ZD44,ZR2019ZD04,and ZR2020QF043)+1 种基金Introduction and Cultivation Program for Young Creative Talents in Colleges and Universities of Shandong Province(2019-173)Special Fund of Qilu Health and Health Leading Talents Training Project。
文摘Objective The resting-state functional magnetic resonance imaging(rs-f MRI)method was used to observe brain activity and its functional connection upon electroacupuncture stimulation at bilateral uterine acupoints(EX-CA1),as well as to investigate the mechanism of acupuncture in the treatment of gynecological diseases.Methods Twenty-two healthy female subjects were stimulated by electroacupuncture at bilateral uterine acupoints;rs-f MRI data of the brain were acquired and standardized.Degree centrality(DC),amplitude of low-frequency fluctuation(ALFF),and regional homogeneity(ReHo)were used to analyze local spontaneous brain activity via acupuncture.An independent component analysis was used to evaluate the functional connectivity of the resting brain networks after acupuncture.Results Analytical results showed that the neural activity intensity of the precuneus lobe,orbitofrontal cortex,lingual gyrus,amygdala,and posterior central gyrus decreased after acupuncture(voxel P<0.001,cluster P<0.05).Functional connectivity analysis revealed weakened auditory and right frontal-parietal networks(voxel P<0.001,cluster P<0.05),enhanced visual network(voxel P<0.001,cluster P<0.05),and synergistic auditory network and hypothalamic-pituitary system.Conclusion Significant differences in neural activity and functional connectivity in specific brain regions were observed after acupuncture intervention at uterine acupoints;the hypothalamic-pituitary system also showed various active states in different brain regions.It is speculated that the effective mechanism of acupuncture at uterine acupoints is related to the regulation of reproductive hormones,emotional changes,and somatic sensations.Therefore,the methods used in this study could clarify the neural mechanism of uterine-point acupuncture in the treatment of gynecological diseases and may serve as a reference for other studies pertaining to acupuncture.
文摘The fixed-point algorithm and infomax algorithm are two of the most popular algorithms in independent component analysis(ICA).However,it is hard to take both stability and speed into consideration in processing functional magnetic resonance imaging(fMRI)data.In this paper,an optimization model for ICA is presented and an improved fixed-point algorithm based on the model is proposed.In the new algorithms a small step size is added to increase the stability.In order to accelerate the convergence,an improvement on Newton method is made,which makes cubic convergence for the new algorithm.Applying the algorithm and two other algorithms to invivo fMRI data,the results show that the new algorithm separates independent components stably,which has faster convergence speed and less computation than the other two algorithms.The algorithm has obvious advantage in processing fMRI signal with huge data.