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Objective:To investigate the regional homogeneity (ReHo) among the major depressive disorder patients without mixed features (MDD noMF), major depressive disorder with mixed features (MMF), bipolar disorder with mixed features (BMF) and bipolar disorder patients without mixed features (BD noMF) patients, and to explore the brain activity and functional connectivity patterns of the MMF and BMF patients. Methods:This was a cross-sectional study. The MDD noMF patients (MDD noMF group), MMF patients (MMF group), BMF patients (BMF group), BD noMF patients (BD noMF group), and age-and gender-matched healthy controls (HC group) were recruited from Beijing Anding Hospital, Capital Medical University between April, 2021 and June, 2022. All the participants underwent resting-state functional MRI scanning. The ReHo values was computed with the DPABI software based on the MATLAB. Firstly, the difference in ReHo among the patients with MDD noMF, MMF, BMF, BD noMF and HC group were estimated by the analysis of covariance and the post-hoc method (LSD or Games-Howell). And then, the brain regions with significant different ReHo values were selected as the seeds to calculate the functional connectivity with the whole brain. Results:A total of 29 cases in the MDD noMF group, 24 cases in the MMF group, 26 cases in the BMF group, 29 cases in the BD noMF group, and 42 in the HC group were included. The differences in ReHo values in the left fusiform and the left precuneus of the 5 groups were statistically significant ( P<0.05). Among of them, the ReHo values of the left fusiform were lower in the MMF, BMF and BD noMF groups compared with the HC group ( P<0.05), while the ReHo values of the left precuneus in MDD noMF, MMF, BMF and BD noMF groups were higher than that in the HC group ( P<0.05). The ReHo value of the left fusiform was lower in the MMF group compared with the MDD noMF group ( P=0.001); the ReHo value of the left fusiform was lower in the BMF group compared with the MDD noMF and BD noMF groups ( P<0.05). The functional connectivity between the left fusiform and vermis, left insula, right putamen, and left medial superior frontal gyrus, and functional connectivity between the left precuneus and right superior frontal gyrus (dorsolateral) showed significant difference among the MDD noMF, MMF, BMF, BD noMF and HC groups ( P<0.05). Compared with HC group, MDD noMF, MMF, BD noMF groups showed higher functional connectivity between the left fusiform and the vermis, and MDD noMF, MMF, BMF, BD noMF group showed higher functional connectivityy between the the left fusiform and the left insula, left medial superior frontal gyrus and right putamen ( P<0.05). Compared with the MDD noMF group, the MMF, BMF and BD noMF groups showed higher functional connectivity between the left fusiform and the left insula ( P<0.05). Compared with the MDD noMF group, the BMF and BD noMF groups had higher functional connectivity between the left fusiform and the left medial superior frontal gyrus ( P<0.05). The BMF group showed higher functional connectivity of the left fusiform with the right putamen than the MDD noMF and BD noMF groups. Additonally, the BMF and BD noMF groups showed higher functional connectivity between the left precuneus and the right superior frontal gyrus (dorsolateral) than HC, MDD noMF and MMF groups ( P<0.05). Conclusions:MMF and BMF patients have local abnormalities of functional activity synchronization in the left fusiform and precuneus and abnormal functional connectivity patterns with multiple brain regions. MMF and BMF patients have specific neuroimaging features compared to MDD noMF or BD noMF patients and also share similar neuroimaging pathogenesis.
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Objective To explore the change patterns in the lumbar vertebral bone marrow fat content with age, analyze the interactions between lumbar vertebral bone marrow fat content, bone mineral density (BMD), and age, and compare the difference of lumbar vertebral bone marrow fat content between males and females in the same age groups. Methods According to the statistical sample size requirements that the minimum sample size of each group was 18, thus, we prospectively recruited healthy volunteers who met the inclusion criteria. Among them, there were 139 males and females, with age range of 21-70 years old. According to age, the patients were divided into group 1 (21-30-yr), group 2 (31-40-yr), group 3 (41-50-yr), group 4 (51-60-yr), and group 5 (61-70-yr). Quantitative computed tomography (QCT) was used to measure the lumbar vertebral BMD, and MR mDIXON-Quant technique was used to measure the marrow fat content of L3 lumbar vertebra. We compared the difference of lumbar vertebral bone marrow fat content and BMD between different age groups in males and females using one-way ANOVA, and compared the difference of lumbar vertebral bone marrow fat content and BMD between males and females in the same age groups using t-test. Correlation analysis was conducted between bone marrow fat content, BMD and age. Results Lumbar vertebral bone marrow fat content was generally increasing with the age. There were significant differences in the fat content of bone marrow at different age groups (male, F=13.598, P=0.000;female, F=73.419, P=0.000). Before the age of 50 years, lumbar vertebral bone marrow fat content in females was lower than one in males, and there was a significant difference between group 2 [females,(29.7± 7.1)%-(36.1 ± 6.6)%, males,(34.1 ± 8.4)%-(39.9 ± 5.9)%;21-30-yr, t=1.984, P=0.053;31-40-yr, t=5.699, P=0.000;41-50-yr, t=2.017, P=0.050]. Females older than 50 years had a higher marrow fat content than males, and there was a significant difference between group 5 [females,(48.3±8.8)%-(52.5±8.2)%, males, (45.5 ± 8.1)%-(46.2 ± 7.4)%;51-60-yr, t=-0.914, P=0.365;61-70-yr, t=-3.400, P=0.001]. For males, bone marrow fat content was positively correlated with age (r=0.527, P<0.05), and negatively correlated with BMD (r=-0.730, adjusted for age r=-0.584, P<0.05). For females, bone marrow fat content was positively correlated with age (r=0.761, P<0.05), and negatively correlated with BMD (r=-0.809, adjusted for age r=-0.473, P<0.05). Conclusions Lumbar vertebral bone marrow fat content was generally increasing with the age. Bone marrow fat content was positively correlated with age and negatively correlated with BMD for males and females.
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Objective To explore the change patterns in the lumbar vertebral bone marrow fat content with age, analyze the interactions between lumbar vertebral bone marrow fat content, bone mineral density (BMD), and age, and compare the difference of lumbar vertebral bone marrow fat content between males and females in the same age groups. Methods According to the statistical sample size requirements that the minimum sample size of each group was 18, thus, we prospectively recruited healthy volunteers who met the inclusion criteria. Among them, there were 139 males and females, with age range of 21-70 years old. According to age, the patients were divided into group 1 (21-30-yr), group 2 (31-40-yr), group 3 (41-50-yr), group 4 (51-60-yr), and group 5 (61-70-yr). Quantitative computed tomography (QCT) was used to measure the lumbar vertebral BMD, and MR mDIXON-Quant technique was used to measure the marrow fat content of L3 lumbar vertebra. We compared the difference of lumbar vertebral bone marrow fat content and BMD between different age groups in males and females using one-way ANOVA, and compared the difference of lumbar vertebral bone marrow fat content and BMD between males and females in the same age groups using t-test. Correlation analysis was conducted between bone marrow fat content, BMD and age. Results Lumbar vertebral bone marrow fat content was generally increasing with the age. There were significant differences in the fat content of bone marrow at different age groups (male, F=13.598, P=0.000;female, F=73.419, P=0.000). Before the age of 50 years, lumbar vertebral bone marrow fat content in females was lower than one in males, and there was a significant difference between group 2 [females,(29.7± 7.1)%-(36.1 ± 6.6)%, males,(34.1 ± 8.4)%-(39.9 ± 5.9)%;21-30-yr, t=1.984, P=0.053;31-40-yr, t=5.699, P=0.000;41-50-yr, t=2.017, P=0.050]. Females older than 50 years had a higher marrow fat content than males, and there was a significant difference between group 5 [females,(48.3±8.8)%-(52.5±8.2)%, males, (45.5 ± 8.1)%-(46.2 ± 7.4)%;51-60-yr, t=-0.914, P=0.365;61-70-yr, t=-3.400, P=0.001]. For males, bone marrow fat content was positively correlated with age (r=0.527, P<0.05), and negatively correlated with BMD (r=-0.730, adjusted for age r=-0.584, P<0.05). For females, bone marrow fat content was positively correlated with age (r=0.761, P<0.05), and negatively correlated with BMD (r=-0.809, adjusted for age r=-0.473, P<0.05). Conclusions Lumbar vertebral bone marrow fat content was generally increasing with the age. Bone marrow fat content was positively correlated with age and negatively correlated with BMD for males and females.
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Objective To analyze the CT and magnetic resonance imaging (MRI) manifestations of the pelvic osteosarcoma. Methods The CT and MRI manifestations of 15 cases with pelvic osteosarcoma from January, 2013 to December, 2015 proved by histology were ret-rospectively analyzed. Results There were 10 males and 5 females in them. The median age was 27.0 years. Ilium was involved in 11 cases. A mixed lytic/sclerotic pattern of bone destruction was found in 11 cases, and the sclerotic type in 2 cases, the osteolytic type in 2 cases. Ra-dial periosteal reaction was found in 5 cases and immature bone formation in 8 cases. Soft tissue masses were seen in 13 cases. MRI showed enhancement in 15 cases and the CT showed no enhancement in 2 cases with sclerotic type. Conclusion The typical imaging manifestations of pelvic osteosarcomainclude mixed lytic/sclerotic appearance, radial periosteal reaction, soft tissue masses and immature bone formation.
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Objective:To investigate the feasibility of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)parameters in differentiating musculoskeletal tumors with different behaviours of pathological findings before therapy.Methods:A total of 34 subjects of musculoskeletal tumors were in-volved in this retrospective analysis.DCE-MRI was performed using a fat-saturated 3 D VIBE (volumetric interpolated breath-hold exam)imaging sequence with following parameters:FA,10 degree;TR/TE, 5.6/2.4 ms;slice thickness,4.0 mm with no intersection gap;field of view,310 mm ×213 mm;ma-trix,256 ×178;voxel size,1 .2 mm ×1 .2 mm ×4.0 mm;parallel imaging acceleration factor.The ac-tuation time for the DCE-MRI sequence was 255 s with a temporal resolution of 5 s and 40 image vo-lumes.Using pathological results as a gold standard,tumors were divided into benign,borderline and malignant tumors.Toft’s model was used for calculation of Ktrans (volume transfer constant),Ve (extra-vascular extracellular space distribute volume per unit tissue volume)and Kep(microvascular permeability reflux constant).Those parameters were compared between the lesions and the control tissues using paired t-tests.The one-way analysis of variance was used to assess the difference among benign,border-line and malignant tumors.P values 0.05 ).Conclusion:DCE-MRI technique is useful to evaluate the pathological behaviour of musculoske-letal tumors.The quantitative analysis of DCE parameters in conjunction with conventional MR images can improve the accuracy of musculoskeletal tumor qualitative analysis.
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Objective To analyze the clinical and imaging features of pulmonary metastasis of giant cell tumor of bone for clinical diagnosis and treatment.Methods Five patients with histologically proven pulmonary metastasis from giant cell tumor of bone were reviewed,the imaging features and the progression of the pulmonary metastasis were evaluated.Results The first operation of primary tumor was curettages and then local recurrence was seen in all 5 cases.The interval to metastasis ranged from 5 to 26 months.Pulmonary metastasis was diagnosed by chest radiographs in 4 cases and CT in all 5 cases.The imaging findings included solitary solid nodule (n =1),multiple solid nodules and mass (n =5),multiple groundglass nodules (n =1) and complex form (n =2).The dynamic follow-up CT findings showed spontaneous regress nodules (n =1),metastasis occurring again 19 months after surgery of solitary nodule (n =1),some solid nodules unchangable for a long time in 3 patients with multiple nodules.Conclusions The dynamic follow-up CT findings of pulmonary metastasis of giant cell tumor of bone are specific.The regular follow-up could play an essential role in early detection and prognosis of pulmonary metastasis within 2 years after primary tumor diagnosed.
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@# ObjectiveTo characterize gliomatosis cerebri on magnetic resonance imaging (MRI) and analyze differential diagnosis.MethodsMRI studies of 12 patients with gliomatosis cerebri were reviewed.ResultsTumors involved at least two lobes of the brain in all patients. Widespread invasion with hyperintensity was noted on T2-weighted MR images. No contrast enhancement occurred.Tumors were confirmed with surgery or biopsy.ConclusionGliomatosis cerebri is best detected with MRI.