Correlation analysis of bone mineral density, hemoglobin and serum albumin in healthy population / 中华健康管理学杂志

Objective:To use quantitative computed tomography (QCT) technology to measure the bone mineral density of the spine of the Chinese healthy population, and to explore its correlation with hemoglobin and serum albumin.Methods:The data in this study came from the China Health Quantitative CT Big Data Project (China Biobank). The spine bone density was measured by using QCT Pro Image Analysis System and all cooperating centers used the European spine phantom (NO.145) for quality control. Total of 50 053 healthy persons who met the criteria for entry were selected as the research subjects. The subjects were divided into 7 groups according to age. The general data, spine bone density, serum albumin, hemoglobin of the subjects were collected. The single-factor analysis of variance, Pearson correlation analysis and multi-classification logistic regression model were applied to analyze the correlation between bone density and hemoglobin and serum albumin.Results:The bone mineral density of healthy people decreased with age ( P<0.05), and there were significant differences in hemoglobin, serum albumin and body mass index (BMI) among different age groups (all P<0.05). Linear correlation analysis showed that there were positive correlation between bone mineral density and hemoglobin in healthy males in different age groups ( r=0.086, 0.101, 0.076, 0.090, 0.072, 0.123, 0.100, all P<0.01). There were negative correlation between bone mineral density and hemoglobin in certain age groups in women (40-49 years group: r=-0.027; 70-79 yearsgroup: r=-0.077; both P<0.05). And corelation were found between bone mineral density and serum levels of albumin in certain age groups of healthy subjects (among men, 30-39 years group: r=-0.048; 40-49 years group, r=-0.027; 70-79 years group, r=-0.051; among women, 30-39 years group: r=-0.044; 40-49 years group, r=-0.042; 50-59 years group, r=-0.086; 70-79 years group, r=-0.070; all P<0.05). After adjusting for age and BMI, the multi-category logistic regression analysis showed that the hemoglobin level was protective factor of normal bone density ( OR=1.022, 95% CI:1.017-1.027) and decreased bone density ( OR=1.012, 95% CI:1.007-1.016) in healthy males, and the serum albumin was risk factor for normal bone density ( OR=0.926, 95% CI:0.905-0.948) and decreased bone density ( OR=1.006, 95% CI:0.951-1.011) in healthy women. Conclusion:There is a correlation between bone mineral density and hemoglobin and serum albumin in Chinese healthy population. Hemoglobin is a protective factor for bone mineral density in men, and serum albumin is a risk factor for bone mineral densityin women.

Reference value of lumbar spine bone mineral density and regional differences based on quantitative CT examination in healthy adult female in China / 中华健康管理学杂志

Objective:To establish the normal reference value of lumbar bone mineral density (BMD) under quantitative CT (QCT) in Chinese healthy adult females and to explore the regional differences.Methods:Total of 35 431 healthy women who met the inclusion criteria of Chinese health quantitative CT big data program were selected in this study. The BMD of the central plane of L 1 and L 2 vertebrae was measured by Mindways′s QCT system, and the mean value was taken. One-way analysis of variance was used to compare the BMD differences of lumbar vertebrae in women of different ages and regions. The subjects were grouped by an age interval of 10 years, and the level of BMD in different regions of the same age group were compaired. Results:The peak BMD of Chinese healthy adult women appeared in the age group of 20-29 years (Northeast China(183.01±24.58) mg/cm 3, North China (188.93±24.80) mg/cm 3, East China (187.54±27.71) mg/cm 3, South China (186.22±33.72) mg/cm 3, Central China (176.33±24.91) mg/cm 3, Southwest China(182.25±28.00) mg/cm 3), and then it decreased with age. The level of BMD in different regions decreased with the age. Before the age of 70 years, BMD in Central and Southwest China was always at a low level((176.23±24.91) to (90.38±28.12) mg/cm 3, 182.25±28.00 to (88.55±25.68) mg/cm 3), lower than those in Northeast China ((183.01±24.58) to (99.69±27.85) mg/cm 3), North China ((188.93±24.80) to (95.89±26.12) mg/cm 3), East China ((187.54±27.71) to (95.65±27.86) mg/cm 3). After 70 years of age, BMD tended to be the same in different regions ( P>0.05). The BMD values in Central China and Southwest China were similar in the age group of 40-60 years ( P>0.05). The BMD values in the health adult femles in the age group of 60 years in different regions of Chinawere all lower than those of bone mass abnormality (all P<0.05). The detection rate of osteoporosis in females over 50 years was the highest in Southwest China (25.65%) and it was the lowest in North China (17.30%). Conclusions:This study establishes reference values of BMD under QCT in healthy Chinese women, which can be used as a reference basis for identifying women with low BMD who are at risk of osteoporosis. The BMD value is the lowest in Southwest China and the highest in South China.

Normal reference and regional variation of spinal bone mineral density under the quantitative CT in Chinese male population / 中华健康管理学杂志

Objective:To investigate the normal reference values of spinal bone mineral density measured by quantitative computed tomography (QCT) and the differences of bone mineral density (BMD) in different regions of in Chinese adult males.Methods:Men who underwent low-dose CT lung scan for cancer screening in regions of Northeast, North, East, South, Central and Southwest of China from January 2018 to December 2019 were selected. And the lumbar vertebrae BMD values in the male subjects were measured by the QCT system (Mindways Software, Inc.). The mean BMD values and their decline rates were calculated at an age interval of 10 years, and the prevalence of osteoporosis was calculated according to the American College of Radiology spine QCT osteoporosis diagnostic criteria.Results:A total of 50 682 males with a mean age of (50.22±12.79) years (ranged 20 to 98 years) were included in this study. The peak BMD of (173.11±28.56) mg/cm 3 in the healthy Chinese adult male population appeared in the age group of 20 to 29 years and then declined with age. Before the age of 70 years, the BMD was relatively higher in males in South China, and it was lower in Central China and Southwest China, and it was intermediate in Northeast, North and East of China, with statistically significant differences. There was no significant differences in BMD in the males in the two age groups of 70 to 79 years and 80 and older among the regions in China. The overall decline rate of spinal BMD in Chinese males under QCT was about 46.92% over the lifetime, and it declined obviouslyin the 40-49 age group. The overall prevalence of osteoporosis in Chinese male population aged 50 years and above was approximately 11.42%, with the highest prevalence in Southwest China and Central China (14.72% and 13.87%, respectively) and the lowest in North China and South China (8.53% and 7.71%, respectively). Conclusions:A reference of lumbar spine BMD values for healthy males in China based on QCT is established. BMD values were highest in South China and Lowest in Central China.

Baseline characteristics of the Chinese health quantitative CT big data program in 2018—2019 / 中华健康管理学杂志

Objective:To describe the baseline characteristics of the subjects enrolled in the China Quantitative CT (QCT) big data program in 2018—2019.Methods:Based on baseline data from the Chinese health big data project from January 2018 to December 2019 from the eligible enrolled population, measurements of bone mineral density (BMD) and visceral adipose tissue (VAT) were performed using Mindways′ QCT Pro Model 4 system. The baseline data of age, gender, regional distribution, height, weight, abdominal circumference, blood pressure, blood routine and blood biochemical tests were analyzed. And the single factor analysis of variance (ANOVA) was used to check the age related trend of BMD and VAT in both genders.Results:After screening the inclusion exclusion criteria and outliers of the main indicators, 86 113 people were enrolled in the project. The enrollment rate was 92.47%, including 35 431 (41.1%) women and 50 682 (58.9%) men, and the ratio of men to women was 1.43. The mean age was (50.3±12.7) years in all the subjects, and it was (50.2±12.8) years and (50.4±12.5) years in men and women, respectively, and there was no statistical difference between the two genders ( P>0.05). Total of 43 833 people were enrolled in east China, it was the largest group by region (50.90%), it was followed by central China (16 434 people, 19.08%), and the number of people enrolled in Northeast China was the lowest (2 914 people, 3.38%). The rate of completing of health information indicators related to the main outcome of the study were all above 70%, and there were significant differences between men and women (all P<0.05). The mean BMD was (139.33±46.76) mg/cm 3 in women, (135.90±36.48) mg/cm 3 in men, which showed a decreasing trend with age in both gender (both P<0.001); the mean intra-abdominal fat area was (116.39±56.23) cm 2 in women, (191.67±77.07) cm 2 in men, and there was an increasing trend with age in both men and women (both P<0.001). Conclusions:There are gender differences in BMD and VAT measured by QCT with different age tendency, and there are gender differences in health information index. Regional factors should also be taken into account for regional differences in the inclusion of data.

Feasibility of constructing the intelligent detection model for foreign bodies on chest X-ray based on Faster R-convolutional neural network / 中华放射学杂志

Objective:To construct an intelligent foreign bodies detection model based on Faster R-convolutional neural network in posterior-anterior chest X-ray and evaluate the performance of the model.Methods:Totally 5 567 adult posterior-anterior DR chest radiographs from Zhejiang Provincial People′s Hospital and Chun′an County People′s Hospital from June 2019 to March 2020, with 4 247 foreign body-containing chest radiographs were analyzed retrospectively. All data were randomly divided into training set (2 911 foreign body-containing), validation set ( n=1 456, 733 foreign body-containing, 723 free of foreign body) and testing set ( n=1 200, 603 foreign body-containing, 597 free of foreign body). The reference gold standard was set as the results of each chest radiography with foreign body annotated by two radiology residents and reviewed and corrected by a senior radiographer. The receiver operating characteristic (ROC) curve and the area under the curve were used to analyze the efficiency of the deep learning model to distinguish the presence or absence of foreign bodies on chest radiography in the testing set. The precision-recall curve and mean precision (mAP) were used to analyze the stability of the model at different levels. Finally, the influence of different locations, patient gender, and patient age on the foreign body recall of the deep learning model were analyzed. Results:In the testing set, the sensitivity of the deep learning model in diagnosing whether chest radiograph contained foreign bodies was 93.2%(562/603), the specificity was 92.6%(553/597), and the F1 score was 0.94. The area under the ROC curve was 0.97, and the mAP value was 0.69. For foreign bodies in different locations, the recall rates of foreign bodies in lung field and outside lung field were 91.2% (674/739) and 89.0% (1 411/1 585), respectively. For different genders, the recall rates for male and female foreign body detection were 87.3% (337/386) and 90.0%(1 745/1 938), respectively. For different age ranges, the recall rate of foreign body detection was 92.5% (1 041/1 126) for 18-38 years old, 89.7%(505/563) for 39-58 years old, 83.5%(335/401) for 59-78 years old and 85.9% (201/234) for patients ≥79 years old.Conclusion:The constructed deep learning-based foreign body detection model for adult posterior-anterior chest X-ray provides high sensitivity and stability, which can identify foreign bodies in chest radiography quickly and accurately.

Early Warning Information for Severe and Critical Patients With COVID-19 Based on Quantitative CT Analysis of Lung Segments.

Background: The coronavirus disease 2019 (COVID-19) outbreak is spreading rapidly around the world. Purpose: We aimed to explore early warning information for patients with severe/critical COVID-19 based on quantitative analysis of chest CT images at the lung segment level. Materials and Methods: A dataset of 81 patients with coronavirus disease 2019 (COVID-19) treated at Wuhan Wuchang hospital in Wuhan city from 21 January 2020 to 14 February 2020 was retrospectively analyzed, including ordinary and severe/critical cases. The time course of all subjects was divided into four stages. The differences in each lobe and lung segment between the two groups at each stage were quantitatively analyzed using the percentage of lung involvement (PLI) in order to investigate the most important segment of lung involvement in the severe/critical group and its corresponding time point. Results: Lung involvement in the ordinary and severe/critical groups reached a peak on the 18th and 14th day, respectively. In the first stage, PLIs in the right middle lobe and the left superior lobe between the two groups were significantly different. In the second stage and the fourth stage, there were statistically significant differences between the two groups in the whole lung, right superior lobe, right inferior lobe and left superior lobe. The rapid progress of the lateral segment of the right middle lobe on the second day and the anterior segment of the right upper lobe on the 13th day may be a warning sign for severe/critical patients. Age was the most important demographic characteristic of the severe/critical group. Conclusion: Quantitative assessment based on the lung segments of chest CT images provides early warning information for potentially severe/critical patients.

Quantitative computed tomography-derived abdominal visceral adipose tissue and cardiometabolic risk in a large-scale population / 中华健康管理学杂志

Objective:To investigate the relationship between abdominal visceral adipose tissue (VAT) and cardiometabolic risk (CMR) through quantitative computed tomography (QCT).Methods:The present study included 76226 participants. Abdominal fat areas were measured using the QCT Pro Model 4 system. Cardiometabolic indices were collected, including systolic and diastolic blood pressures, fasting plasma glucose, total cholesterol, triglyceride, and low-density and high-density lipoprotein cholesterols CMR score was the sum of abnormal blood pressure, fasting glucose, triglyceride, and high-density lipoprotein cholesterol. Restricted cubic spline and ordered logistic regression models were applied.Results:The mean age was 50±13 years and the percentage of men was 58.8%. The level of VAT area was higher in men than in women (191.7±77.1 cm 2 vs 116.4±56.2 cm 2, P<0.0001 for all). After adjustment for age, the cardiometabolic indices except high-density lipoprotein cholesterol increased with increasing VAT area. When VAT area was 300 cm 2, age-adjusted odds ratios and 95% confidence intervals of a CMR score ≥ 1 were 14.61 (13.31, 16.04) for men and 5.46 (4.06, 7.36) for women, and the age-adjusted probability of a CMR score ≥ 3 was 31.7% for men and 31.3% for women. Conclusions:QCT-derived VAT is closely related to CMR. The findings suggest that measurement of visceral fat is recommended for the management of abdominal obesity in subjects who agree to undergo lung cancer screening via low-dose CT without additional radiation exposure.

A radiomic nomogram based on T2WI for predicting synchronous liver metastasis of rectal cancer / 中华放射学杂志

Objective To explore the clinical feasibility of predicting synchronous liver metastases based on MRI radiomics nomogram based on T2WI in rectal cancer. Methods The imaging and clinical data of 261 patients with primary rectal cancer admitted to Zhejiang People′s Hospital from April 2012 to May 2018 were retrospectively analyzed. 101 patients were accompanied by synchronous liver metastasis All cases were divided into training group (n=182) and verification group (n=79). T2WI image of each patient was selected to extract texture features by AK analysis software of GE company. A radiomics signature was constructed after reduction of dimension in training group by the least absolute shrinkage and selection operator (LASSO). Univariate logistic regression was used to select for independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models and nomogram. ROC was used to assess the accuracy of the nomogram in the training group and to verify them by the validation group. Finally, the clinical efficacy of each patient′s synchronized liver metastasis risk factor was calculated based on the nomogram. Results A total of 328 texture features were extracted from the T2WI. Seven most valuable features were selected after reducing the dimension by LASSO algorithm, including 3 co-occurrence matrices (GLCM) and 4 run-length matrices(RLM). Tumor staging and radiomic signatures were included in the Multifactor logistic regression to build the prediction model and nomogram. The accuracy of predicting SRLM was 0.862 and 0.844 in the training and the verification group, respectively. To evaluate the accuracy of the nomogram, radiomics signature and the tumor staging in all cases were 0.857, 0.832 and 0.663, respectively. There was no significant difference in the number of SRLM cases between the high risk group and the low risk group based on nomogram (P>0.05). Conclusion The radiomics nomogram based on T2WI can be used as a quantitative tool to predict synchronous liver metastases of rectal cancer.

Prediction of white matter hyperintensities progression based on radiomics of whole-brain MRI: a study of risk factors / 中华放射学杂志

Objective@#To explore the risk factors of predicting white matter hyperintensities progression based on radiomics of MRI of whole-brain white matter.@*Methods@#The imaging and clinical data of 152 patients with white matter hyperintensities admitted to Zhejiang People′s Hospital from March 2014 to October 2018 were retrospectively analyzed. The whole brain white matter on baseline T1WI images of each patient were segmented by SPM12 software package, and images of white matter were imported into AK software for texture feature extraction and dimensionality reduction. At last, least absolute shrinkage and selection operator(LASSO) was used to calculate the score of radiomics signature of each patient. According to the improved Fazekas scale, patients with WMH progression were divided into three groups: any white matter hyperintensities (AWMH), periventricular white matter hyperintensities (PWMH) and deep white matter hyperintensities (DWMH). Statistical differences of clinical factors and radiomics signature between WMH progression subgroups and non-progression subgroups were compared with independent sample t test or Mann-Whitney U test, and Univariate logistic regression was used to select independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models, which was evaluated by ROC curve. And the correlation between the clinical indicators of independent risk factors and the texture feature of radiomics signature was analyzed.@*Results@#The efficacy of the model for the detection for AWMH progression, PWMH progression and DWMH progression was 0.818,0.778 and 0.824, respectively. Age is an independent risk factor for AWMH progression and DWMH progression[OR(95%CI), 4.776(2.152-10.601) vs. 3.851(1.101-8.245); P<0.05]. BMI is an independent risk factor for DWMH[OR(95%CI), 3.004(1.204-7.370); P<0.05], and hyperlipidemia is an independent risk factor for AWMH and PWMH[OR(95%CI), 4.062(1.834-8.998) vs. 3.549(1.666-7.563); P<0.05]. In AWMH subgroup, Surface Area was negatively correlated with age and low density lipoprotein(LDL) (r=-0.401, -0.312), and Inverse Difference Moment_ALLDirection_offset 1_SD was negatively correlated with age(r=-0.412). In PWMH subgroup, Compactness 1 was negatively correlated with LDL(r=-0.198), and Inverse Difference Moment_angle 0_offset 7 was positively correlated with LDL(r=0.252). In DWMH subgroup, LongRunEmphasis_ALLDirection_offset 7 was negatively correlated with age(r=-0.322), and GLCMEntropy_angle0_offset 4 was negatively correlated with age(r=-0.278). GLCMEntropy_AllDirection_offset4 was negatively correlated with body mass index(r=-0.514).@*Conclusion@#Radiomics based on whole-brain white matter MR imaging can predict WMH progression and identify the risk factors in high-risk populations, thus providing early additional information to conventional magnetic resonance imaging to predict WMH progression.

Dynamic contrast-enhanced MRI radiomic features predict axillary lymph node metastasis of breast cancer / 中华放射学杂志

Objective@#To investigate the prognostic value of radiomics analysis in predicting axillary lymph nodes (ALN) metastasis of breast cancer based on dynamic contrast-enhanced MR imaging (DCE-MRI).@*Methods@#One hundred and ninety-six patients with suspected breast cancer were prospectively collected for dynamic breast DCE-MRI. Enhanced MR imaging data of 72 axillary lymph nodes were evaluated separately by a chief radiologist and a resident, and the consistency analysis was performed. Lymph nodes were dichotomized according to the pathology results derived from operation or biopsy under real-time virtual sonography based on MRI data. Clinical and imaging data were also divided into corresponding groups. (Imaging) Data from both groups were respectively classified as training set and testing set by stratified sampling in proportion with 3∶1. AK software was applied to extract 6 major categories of 385 features (including histogram, morphology, texture parameters, gray level co-occurrence matrix, run-length matrix and grey level zone size matrix from imaging), and a set of statistically significant features were subsequently obtained by dimension reduction. The prediction model was established through binary classification logistic regression and employed to externally test the validation set by the method of confusion matrix. Meanwhile, ROC analysis was applied to assess the diagnostic performance of the model.@*Results@#Of the 72 axillary lymph nodes, 35 were metastatic negative and 37 were positive. The consistency of enhanced MRI radiomics features was good, between 0.841 and 0.980. Uniformity, ClusterProminence_AllDirection_offset1_SD, Correlation_AllDirection_offset1, LongRunEmphasis_angle90_offset7 and SurfaceVolumeRatio were statistically significant differences (P<0.01), the area under the ROC between 0.747 and 0.931. In the training and testing group, the areas under the ROC, sensitivity, specificity and accuracy of the model were 0.953, 0.893, 0.926, 92.6% (50/54) and 0.944, 0.900, 1.000, 88.9% (16/18) respectively.@*Conclusion@#The prediction model based on radiomic features may provide a non-invasive and effective approach to the assessment of the risk of ALN metastasis of breast cancer.

Dynamic contrast?enhanced MRI radiomic features predict axillary lymph node metastasis of breast cancer / 中华放射学杂志

Objective To investigate the prognostic value of radiomics analysis in predicting axillary lymph nodes (ALN) metastasis of breast cancer based on dynamic contrast-enhanced MR imaging (DCE-MRI). Methods One hundred and ninety-six patients with suspected breast cancer were prospectively collected for dynamic breast DCE-MRI. Enhanced MR imaging data of 72 axillary lymph nodes were evaluated separately by a chief radiologist and a resident, and the consistency analysis was performed. Lymph nodes were dichotomized according to the pathology results derived from operation or biopsy under real-time virtual sonography based on MRI data. Clinical and imaging data were also divided into corresponding groups. (Imaging) Data from both groups were respectively classified as training set and testing set by stratified sampling in proportion with 3∶1. AK software was applied to extract 6 major categories of 385 features (including histogram, morphology, texture parameters, gray level co-occurrence matrix, run-length matrix and grey level zone size matrix from imaging), and a set of statistically significant features were subsequently obtained by dimension reduction. The prediction model was established through binary classification logistic regression and employed to externally test the validation set by the method of confusion matrix. Meanwhile, ROC analysis was applied to assess the diagnostic performance of the model. Results Of the 72 axillary lymph nodes, 35 were metastatic negative and 37 were positive. The consistency of enhanced MRI radiomics features was good, between 0.841 and 0.980. Uniformity, ClusterProminence_AllDirection_offset1_SD, Correlation_AllDirection_offset1, LongRunEmphasis_angle90_offset7 and SurfaceVolumeRatio were statistically significant differences (P<0.01), the area under the ROC between 0.747 and 0.931. In the training and testing group, the areas under the ROC, sensitivity, specificity and accuracy of the model were 0.953, 0.893, 0.926, 92.6% (50/54) and 0.944, 0.900, 1.000, 88.9% (16/18) respectively. Conclusion The prediction model based on radiomic features may provide a non-invasive and effective approach to the assessment of the risk of ALN metastasis of breast cancer.

MRI findings of primary Rosa-i Dorfman disease in the central nervous system / 实用放射学杂志

Objective To investigate the imaging features of primary Rosa-i Dorfman disease (RDD)in the central nervous system and to increase the understanding of the disease.Methods The MRI findings of 5 cases with primary RDD of the central nervous system were analyzed retrospectively,and the related literatures were reviewed.Results Four cases located in the cranium,1 case located in the spinal cord,and 5 tumors were attached to the brain (ridge)membrane.The tumor was equal and low signal on T1 WI,and equal or slightly high signal on T2 WI.Obvious enhancement could be seen on enhance study,and obvious enhancementwas visible in adjacent brain (ridge)membrane,in which 1 case involved the skull,with thickening and strengthening of the skull.Tumors were attached to the meninges in a wide range,the local meninges of 3 cases were penetrated by tumor.Conclusion If young and middle-aged males have no obvious specific clinical manifestations,the images of MRI are single or multiple lesions that are closely related to the brain (ridge)membrane in larger extent and easily penetrate the brain (ridge)membrane,the possibility of RDD should be considered.

Relationship between white matter hyperintensities and hyperintense vessel sign on fluid-attenuated inversion recvery magnetic resonance imaging in older adults / 中华老年医学杂志

Objective To investigate the correlation between white matter hyperintensities (WMH)and hyperintense vessel sign (HVS) on fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging(MRI)in old adults and to explore the risk factors and pathogeneses of WMH.Methods We retrospectively collected imaging and clinical data of patients who had received both head and neck CTA and brain MRI within one month at our hospital from 2013 to 2016.The Fazekas visual scale was used to evaluate periventricular white matter hyperintensity(PWMH)and deep white matter hyperintensity(DWMH)in each brain hemisphere.According to the presence or absence of HVS in a cerebra[hemisphere,patients were assigned into an HVS-positive group or an HVS-negative group.Clinical data,PWMH,and DWMH differences were compared between the two groups.Results A total of 271 patients(542 cerebral hemispheres)were included in this study.HVS-positive imaging occurred in 79(14.6％)cerebral hemispheres and negative imaging was observed in 463 (85.4％) cerebral hemispheres.There was a significant difference between the HVS-positive and negative groups in the ipsilateral CIA stenosis(x2 =126.840,P＜0.01).The incidence of ipsilateral severe carotid artery stenosis in the HVS-positive group was 62.0％ (49/79),which was significantly higher than 9.9％ (46/463)in the HVS-negative group.The incidence of moderate-severe DWMH was 65.8％(52/79) in the HVS-positive group,which was higher than 34.8％ (161/463)in the negative group(x2 =34.962,P ＜20.01).Nevertheless,the incidences of moderate-severe PWMH in the two groups were 65.8％ (52/79) and 55.5％ (257/463),respectively,without a significant difference between them (x2 =6.944,P =0.074).After adjusting for age,gender,ipsilateral ICA stenosis,hypertension,diabetes,etc.multivariate analysis suggested that HVS-positive imaging was still an independent risk factor for DWMH(OR =2.653,95％CI:1.489-4.726,P =0.001).Conclusions HVS-positive imaging is an independent risk factor for DWMH in the elderly,but no clear correlation with PWMH is found.It suggests that hypoperfusion is a possible mechanism for the development of DWMH in the elderly.

Application value of texture analysis of magnetic resonance images in prediction of neoadjuvant chemoradiotherapy efficacy for rectal cancer / 中华胃肠外科杂志

<p><b>OBJECTIVE</b>To explore the application value of texture analysis of magnetic resonance images (MRI) in predicting the efficacy of neoadjuvant chemoradiotherapy(nCRT) for rectal cancer.</p><p><b>METHODS</b>A total of 34 rectal cancer patients who were hospitalized at Zhejiang Provincial People's Hospital from February 2015 to April 2017 were prospectively enrolled and received 3.0T MRI examination at pre-nCRT (1 day before nCRT), early stage (at 10-day after nCRT) and middle stage (at 20-day after nCRT).</p><p><b>INCLUSION CRITERIA</b>distance from tumor lower margin to anal edge was less than 12 cm under rectoscope; rectal cancer was confirmed by preoperative pathology; clinical stage was T3 or above; lymph node metastasis existed but without distant metastasis; functions of liver, kidney and heart present no contraindications of operation.</p><p><b>EXCLUSION CRITERIA</b>unfinished nCRT, surgery and three examinations of MRI; image motion artifacts; lack of postoperative pathological results. All the patients underwent rectal cancer long-term three-dimensional radiotherapy and chemotherapy combined with nCRT (oxaliplatin plus capecitabine). The tumor regression grading (TRG) was divided into TRG 0 to 4 grade after nCRT, and TRG 4 was classified as pathological complete remission (pCR); TRG 2 to 3 was classified as partial remission (PR); the rest was no remission (NR). Extraction and analysis of texture features in T2-weighted MR-defined tumor region were performed using Omni Kinetics texture software. The texture values of each time point were statistically analyzed, and the differences of texture values and change differences between pCR and PR+NR, and NR and pCR+PR were compared respectively. Statistically significant texture values were screened and were used in receiver operating characteristic (ROC) curve to assess the prediction of the efficacy of nCRT.</p><p><b>RESULTS</b>Of 34 patients, 21 were males and 13 were females with median age of 49.3 years. Nineteen (55.9%) patients were low rectal adenocarcinoma and 15 (44.1%) patients were middle rectal adenocarcinoma. Nine (26.5%) cases belonged to pCR, 13 (38.2%) belonged to PR, and 12 (35.3%) belonged to NR. Before nCRT, the entropy of tumor area in pCR patients was significantly higher than that in PR+NR patients (7.164±0.272 vs. 6.823±0.309, t=2.925, P=0.006). At the middle stage of nCRT, as compared with PR+NR patients for the texture features of tumor region, the variance (1566±281 vs. 2883±867, t=-4.435, P=0.000) and entropy(5.436±0.934 vs. 6.803±0.577, t=-4.118,P=0.002) of pCR patients were significantly lower; kurtosis(4.800±1.288 vs. 3.206±1.211, t=3.333, P=0.002) and energy (0.016±0.005 vs. 0.010±0.004, t=3.240, P=0.003) of pCR patients were significantly higher. As compared to pCR+PR patients, the kurtosis(2.461±0.931 vs. 4.264±1.205, t=-4.493, P=0.000) and energy (0.011±0.004 vs. 0.014±0.004, t=-3.453, P=0.000) of the NR patients were significantly lower. As for texture change values between early stage and middle stage, the entropy difference was significant between pCR and PR+NR, NR and pCR+PR (1.344±0.819 vs. 0.489±0.319, t=3.047, P=0.014; 0.446±0.213 vs. 0.917±0.677, t=-3.638, P=0.001, respectively). As for texture change values between pre-nCRT and middle stage, variance and entropy differences between pCR and PR+NR (1759±1226 vs. 977±842, t=2.113, P=0.042; 1.728±0.918 vs. 0.524±0.355, t=3.832, P=0.004), and the change values of entropy between NR and pCR+PR (0.475±0.349 vs. 1.044±0.860, t=-2.722, P=0.011) were statistically significant. The above indicators were included in the ROC curve. The results revealed that at the middle stage, entropy value >5.983 indicated the best efficacy for the diagnosis of pCR, with the area under the ROC curve (AUC) of 0.885, the sensitivity of 100%, and the specificity of 66.7%; the energy <0.010 indicated the best AUC for diagnosis of NR was 0.902, with the sensitivity of 91.7% and specificity of 81.8%.</p><p><b>CONCLUSIONS</b>Texture analysis based on T2 weighted images can predict the efficacy of nCRT for rectal cancer. The middle stage of nCRT is the best time of prediction. The entropy and energy of this period are texture parameters having higher predictive ability.</p>

Related factors for the development of subdural haematoma in patients with spontaneous intracranial hypotension / 中华神经科杂志

Objective To investigate related factors for subdural haematoma (SDH) in patients with spontaneous intracranial hypotension (SIH),and to provide clinical evidence for the prevention and treatment of the disease.Methods The clinical and imaging data of 177 patients with SIH from Sir Run Run Shaw Hospital during April 2008 to May 2014 were retrospectively analyzed,145 patients of whom were selected as study subjects and divided into SDH group and non-SDH (NSDH) group.And then the univariate analysis and further multiple Logistic regression analysis were performed to identify the potential risk factors,including gender,age,clinical course,blood pressure,cerebrospinal fluid pressure,lesions,for the development of SDH.Results In 29 of 145 patients with the development of SDH (20.0％),male patients accounted for the majority (62.1％,18/29).The mean age was (44.72 ± 11.03) years and the mean clinical course was (50.41 ±30.42) days in the SDH group,which were (39.96 ±9.35) years and (31.70 ± 24.39) days in the NSDH group.The univariate analysis showed that advanced age,male gender and longer clinical course were associated with the development of SDH.However,multivariate analysis only included male (Exp(B) =3.636,95％ CI 1.559-8.482,P=0.003) and longer clinical course (Exp(B) =1.021,95％ CI 1.006-1.036,P =0.005).When the clinical course has been exceeded 18 days,the probability of the development of SDH was significantly higher,with the incidence of SDH increased to 24.3％ (26/107),obviously higher than that in patients with clinical course ≤ 18 days (7.9％ (3/38);x2=4.716,P =0.030).Conclusions The male gender and the longer clinical course were found to be the potential risk factors for the development of SDH.When the clinical course duration exceeds 18 days,there will be a greater potential for the development of SDH comparing with other factors.

Time-invariant CTA assessment of collateral circulation of patients with acute ischemic stroke / 实用放射学杂志

Objective To explore the value of time-invariant CTA in assessing collateral circulation of patients with acute ischemic stroke and assisting clinicians in predicting clinical outcomes.Methods The score of collateral circulation was compared between single-phase and time-invariant CTA.NIHSS score was calculated at admission and two weeks after admission.A 50% or greater decrease in NIHSS score over two weeks was considered as major neurologic improvement,which showed good clinical outcome;otherwise,it indicated bad outcome.The predictive ability of time-invariant CTA for clinical outcomes was assessed based on ROC curves.Results Compared with single-phase CTA,more collateral vessels could be viewed on time-invariant CTA.The average score of collateral circulation on time-invariant and single-phase CTA was 1.50±0.69 and 1.15±0.49 respectively (P=0.006<0.05 ).Time-invariant CTA had the moderate predictive ability for clinical outcomes in patients with acute ischemic stroke (AUC=0.810;P=0.032<0.05). Conclusion The time-invariant CTA showed potential value in assessing collateral circulation of patients with acute ischemic stroke and assisting clinicians in predicting clinical outcomes.

Study of the uniformity between MRI and 18F-FDG PET/CT in detection of spinal metastatic tumor / 实用放射学杂志

Objective To compare the uniformity between spine MRI and 18F-FDG PET/CT in detection of spinal metastatic tumor, and to analyze the reasons for the discrepancy between them.Methods Data of 42 malignant tumor patients underwent spine MRI and 18F-FDG PET/CT were analyzed retrospectively.And the two tests were underwent within 30 days.The author censused and analyzed the number of centrums with metastatic tumor detected by spine MRI and 18F-FDG PET/CT,and supposed that 18F-FDG PET/CT was gold standard,to evaluate the sensitivity and specificity of spine MRI.The inconsistent between two tests was analysed.Results The study included 509 centrums of 42 patients.123 positive centrums (24.2%) were detected on spine MRI,and 114 positive centrums (22.4%) on 18F-FDG PET/CT(P=0.22>0.05).The uniformity between two tests was good (Kappa=0.76).Supposing that 18F-FDG PET/CT was gold standard,the sensitivity,specificity,positive predictive value, negative predictive value,false negative rate and false positive rate of spine MRI was 85.1%(97/114),93.4%(369/395),85.1%(97/114),93.4% (369/395),14.9%(17/114) and 6.6%(26/395) respectively.43 centrums of 14 patients were diagnosed inconsistently by spine MRI and 18F-FDG PET/CT.The main reasons for the inconformity were as following: types of primary tumors, insensitivity of spine MRI for diffuse scattered spinal metastatic tumors, the existence of misdiagnosis on spine MRI, misdiagnosis of spine MRI for metastatic lesions located in the vertebral appendix and paramedian vertebral body,misdiagnosis of 18F-FDG PET/CT for metastatic lesions located in the sacral centrum, existence of false positive on 18F-FDG PET/CT and so on.Conclusion The uniformity between spine MRI and 18F-FDG PET/CT is good.The inconformity still existes in some cases.Carefully comparative analysis of them contributes to find metastatic lesions.

MRI evaluation of superficial siderosis of the central nervous system after traumatic subarachnoid hemorrhage / 实用放射学杂志

Objective To assess the diagnostic value of 3D-enhanced T2 ? weighted angiography (ESWAN )in evaluating superficial siderosis of the central nervous system (SS-CNS)after traumatic subarachnoid hemorrhage (tSAH).Methods ESWAN and GRE T2 ? WI sequence were performed on 30 patients with tSAH,detection rate and the number of distribution areas of SS-CNS were compared between the two sequences.A McNemar’s test and Wilcoxon signed-rank test were used to analyze the differences between T2 ? WI and ESWAN images sequences. Results In the tSAH group,29 of 30 patients (96.7%)showed SS-CNS on ESWAN images,the total number of SS-CNS regions was 134.Identified SS-CNS positive rate respectively was 95.8% (23/24)on ESWAN images and 66.7% (1 6/24)on T2 ? WI in 24 patients simultaneously perform ESWAN and T2 ? WI sequences.A McNemar ’s test showed that there was significant difference between the positive rates of two sequences in detecting the SS-CNS (χ2 =7.0,P <0.05).The number of SS-CNS regions on ESWAN images and T2 ? WI was 106 and 34 respectively.The Wilcoxon signed rank test showed that the number of SS-CNS regions difference between two sequences was significant (Z =-4.225,P <0.01).Conclusion Various degress of SS-CNS are detected in a majority of tSAH atients.ESWAN sequence is a reliable and efficient method for assessment of SS-CNS.

Multivariate Logistic regression analysis for diagnosis of peripheral zone prostate cancer on T2 WI / 实用放射学杂志

Objective To evaluate the diagnostic capabilities of T2 WI features in peripheral zone prostate cancer.Methods The characteristics of T2 WI in 56 cases of peripheral zone prostate cancer,75 cases of benign prostatic hyperplasia and 7 cases of prostatitis confirmed by pathology were analyzed retrospectively.Eight indexes were initially screened byχ2 test,then indexes with significant difference were entered into multivariate Logistic regression analysis.Results The indexes showing statistical differences between prostate cancer and benign prostatic disorders were as following:lesion shape,signal intensity,signal uniformity,boundary of peripheral zone and transition zone,the volume of peripheral zone and prostatic capsule on T2 WI (P0.05).By multivariate Logistic analysis,the statistically significant difference were found in lesion shape, the volume of peripheral zone,prostatic capsule and boundary of peripheral zone and transition zone.Conclusion The lesion shape, volume of peripheral zone and prostatic capsule on T2 WI are independent risk factors for peripheral zone prostate cancer.

Imaging Features of Unsuccessful CT Myelography and Gadolinium-enhanced MR Myelography in Spontaneous Intracranial Hypotension / 中国医学影像学杂志

PurposeCT myelography (CTM) and gadolinium-enhanced MR myelography (Gd-MRM) are essential methods used for localizing spinal cerebrospinal fluid leaks in patients with spontaneous intracranial hypotension (SIH) and are significant for diagnosis and guided epidural blood patches. This paper analyzes the rate and imaging features of unsuccessful myelography due to misinjection of contrast into epidural space to guide prompt and correct clinical judgment of unsuccessful myelography.Materials and Methods Myelography from 121 patients with SIH was retrospectively reviewed and the image features of the unsuccessful myelography were analyzed.Results A total of 128 myelography examinations were done. Contrast media was accidently injected into the epidural space in 33 examinations. The failure rate was 25.8%. In all 33 failed exams, bilateral spinal nerve roots on both sides of the dural sac passing through contrast media was observed without visualization of anterior and posterior nerve roots. Cauda equina was not seen within contrast media in 29 cases (87.9%); non-diffusion of contrast media into cisterns and ventricles in 26 cases (78.8%). Contrast was not continuous in spinal canal in 16 cases (48.5%), heterogeneous in 10 cases (30.3%). In 4 cases (12.1%) the inner contour of contrast was not smooth.Conclusion The unsuccessful rate of myelography is relatively high in SIH patients. A prompt and correct decision could be made based on the knowledge of contrast misinjection imaging features.