Objective:To investigate changes of choroid plexus volume in patients with essential hypertension using deep learning-based segmentation technique.Methods:According to the inclusion criteria,19 patients with essential hypertension who visited The 900th Hospital of People's Liberation Army Joint Service Support Force from December 2022 to May 2024 were divided into hypertension group.Additionally,19 healthy individuals,matched with the hypertension group in terms of gender,age,and years of education,were recruited as the healthy control group during the same period.All participants underwent data acquisition of three-dimensional T1(T1-3D)brain structural images using a Siemens 3.0T Trio magnetic resonance(MR)scanner.A pre-trained deep learning model,which based on the 3D U-Net architecture and generated by fully convolutional neural network,was employed for choroid plexus segmentation,and the total brain volume and lateral ventricle volume were calculated using the United Imaging Artificial Intelligence(AI)platform.Statistical analysis of the choroid plexus volume and other data for both groups were performed using SPSS27.0.Results:Compared with the healthy control group(1 866 mm3),the hypertensive group(2 047 mm3)showed an abnormal increase in choroid plexus volume(x2=3.900,P<0.05).Moreover,the choroid plexus volume was positively correlated with lateral ventricle volume and systolic blood pressure(r=0.849,P<0.05),and was negatively correlated with digit span(forward)in the hypertensive group(r=-0.374,P<0.05).Conclusion:The choroid plexus volume in patients with essential hypertension abnormally increased,which might be a factor promoting to changes in brain structure,it can affect further the cognitive function of patients with hypertension.

Cognitive impairment(CI)is a common complication in patients with end-stage renal disease(ESRD),who can appear decline of the cognition at multi fields include attention,memory,and executive function at early stage.However,the potentially neuropathological mechanisms of ESRD patients with CI still is unknown to be great extent.Therefore,it is great challenge to detect patients at early stage.In recent years,the development of multi-modal magnetic resonance imaging(MRI)has taken the research of this field to gain many progress.Based on the above reasons,this review systematically explored the research advance of multi modal MRI for ESRD patients with CI who received hemodialysis,and elaborated the important progress of MRI technique in neuropathological aspect of ERSD patients with CI from the changes of brain structure,brain function,brain perfusion,and brain metabolism,which aim was to explore the potential mechanism of ESRD patients with CI,so as to provide new direction for early diagnosis and treatment.

Cognitive impairment(CI)is a common complication in patients with end-stage renal disease(ESRD),who can appear decline of the cognition at multi fields include attention,memory,and executive function at early stage.However,the potentially neuropathological mechanisms of ESRD patients with CI still is unknown to be great extent.Therefore,it is great challenge to detect patients at early stage.In recent years,the development of multi-modal magnetic resonance imaging(MRI)has taken the research of this field to gain many progress.Based on the above reasons,this review systematically explored the research advance of multi modal MRI for ESRD patients with CI who received hemodialysis,and elaborated the important progress of MRI technique in neuropathological aspect of ERSD patients with CI from the changes of brain structure,brain function,brain perfusion,and brain metabolism,which aim was to explore the potential mechanism of ESRD patients with CI,so as to provide new direction for early diagnosis and treatment.

Objective:To investigate changes of choroid plexus volume in patients with essential hypertension using deep learning-based segmentation technique.Methods:According to the inclusion criteria,19 patients with essential hypertension who visited The 900th Hospital of People's Liberation Army Joint Service Support Force from December 2022 to May 2024 were divided into hypertension group.Additionally,19 healthy individuals,matched with the hypertension group in terms of gender,age,and years of education,were recruited as the healthy control group during the same period.All participants underwent data acquisition of three-dimensional T1(T1-3D)brain structural images using a Siemens 3.0T Trio magnetic resonance(MR)scanner.A pre-trained deep learning model,which based on the 3D U-Net architecture and generated by fully convolutional neural network,was employed for choroid plexus segmentation,and the total brain volume and lateral ventricle volume were calculated using the United Imaging Artificial Intelligence(AI)platform.Statistical analysis of the choroid plexus volume and other data for both groups were performed using SPSS27.0.Results:Compared with the healthy control group(1 866 mm3),the hypertensive group(2 047 mm3)showed an abnormal increase in choroid plexus volume(x2=3.900,P<0.05).Moreover,the choroid plexus volume was positively correlated with lateral ventricle volume and systolic blood pressure(r=0.849,P<0.05),and was negatively correlated with digit span(forward)in the hypertensive group(r=-0.374,P<0.05).Conclusion:The choroid plexus volume in patients with essential hypertension abnormally increased,which might be a factor promoting to changes in brain structure,it can affect further the cognitive function of patients with hypertension.

Objective:To investigate the quality control of magnetic resonance enterography(MRE)in the diagnosis of intestine diseases,and analyze the factors that affected the imaging quality of MRE,and enhance the imaging quality of MRE through adopted the measures of quality control.Methods:The documents of MRE examinations of 167 patients with intestinal disease who admitted to the 900th Hospital of People's Liberation Army Joint Service Support Force from May 2018 to March 2023 were retrospectively analyzed.The image qualities of all patients were evaluated after they completed clinical and image examinations.The reasons that image quality could not meet the requirement of diagnosis were analyzed.And then,the measures of quality control were proposed.Results:In 167 patients with intestinal disease,the MRE images of 153 patients(91.62%)could meet the requirement of diagnosis.In 14 patients(8.38%)whose MRE images could not meet the requirement of diagnosis,the reason of 3 cases(1.80%)was poor respiratory coordination,and that of 2 cases(1.20%)was there were more severe magnetic sensitive artifacts in images,and that of 1 case(0.60%)was severe intestinal peristalsis leaded to blurred images,and that of 2 cases(1.20%)was the flow void effect from intestinal peristalsis inside of intestinal cavity could not meet the requirement of diagnosis,and that of 4 cases(2.40%)was the intestinal tube without incomplete dilation caused by poor oral filling contrast agent,and that of 2 cases(1.20%)was many residues in intestine due to poor preparation for intestine.Aimed at the factors that MRE images could not meet requirement of diagnosis,we proposed the following quality control measures:①the biphasic contrast agents with favorable safety,without severe adverse reactions,which can fully dilate intestinal cavity,should be selected.②we should do well for the dilation of intestinal tube,and inhibit the intestinal peristalsis and conduct respiratory training.③we should conduct scan with wide field at coronal site,so as to display panorama image of intestine.④The scans of conventionally anatomical sequence and functional imaging sequence on axis position were performed on lesions.Conclusion:MRE technique should choose appropriate contrast agent in the quality control of the diagnosis of intestine diseases,and do well the preparation for patients before examination.Using intraluminal contrast agents,conducting intestinal dilation and optimal imaging technique are essential for obtaining intestinal MRE images with high quality.

Objective:To analyze the development status,frontiers and hotspots of radiomics research in the past five years from 2019 to 2023,and to provide theoretical reference and guidance for radiomics research in China.Methods:The relevant literature in the field of radiomics published in the core database of Web of Science(WOS)from January 1,2003 to August 10,2023 were searched.According to the inclusion and exclusion criteria,6,777 eligible literatures were screened and obtained,including 6,254 articles in the past five years from January 1,2019 to August 10,2023.Bibliometric methods were used to analyze the clustering of countries and regions,institutions,journals,authors,keywords and draw visual maps.Results:The 6,777 radiomics-related articles published between 2003 and 2023 were first published in 2011,and the number of papers tended to stabilize in 2018,and then the number showed a significant trend of increasing year by year.Among the 6,254 articles published from 2019 to 2023,China(3,564 articles),United States(1,164 articles),and Italy(530 articles)ranked the top 3 in terms of publication volume,with close cooperation between countries.General Electric of the United States published the most papers(448 articles),and the journal Frontiers in Oncology(704 papers)ranked first in terms of paper publication volume.From 2019 to 2023,the diseases of concern in the field of radiomics are rectal cancer,hepatocellular carcinoma,breast cancer,and lung cancer(especially non-small cell lung cancer).Conclusion:Although China ranks first in the number of national publications,the quality of research still needs to be improved.In the future,the research trend in the field of radiomics may be the diagnosis and differential diagnosis of various diseases,the prediction and evaluation of curative effect,the evaluation of tumor disease metastasis and the identification of gene phenotype based on radiomics combined with multiple imaging techniques.

Objective:To design an intelligent measurement program of detection parameters of quality control of imaging system of multi-slice spiral computed tomography (MSCT) based on MATLAB software platform,so as to achieve intelligent detection for quality control of MSCT imaging system. Methods:We designed an intelligent measurement program for the detection parameters of quality control of MSCT imaging system (referred to as the intelligent measurement program) bases on the function of graphical user interfaces (GUI) of MATLAB software. A series of algorithms such as image reading,binarization,and circular detection based on the Hough transform were employed to conduct automatic measurement and calculation for CT values (water),noise and uniformity of the parameters of MSCT quality control. The Intraclass Correlation Coefficient (ICC) was adopted to analyze the consistency of the detection results between the manual measurement method and the designed intelligent detection program. Results:The designed intelligent measurement program in this study can automatically assess the detection parameters of quality control of the MSCT imaging system,which included CT values (water),noise and uniformity. There was favorable consistency in the detection results between the manual measurement method and the intelligent measurement program (range of ICC values was from 0.881 to 0.985). Conclusion:The intelligent measurement program of detection parameters of quality control of MSCT imaging system can simplify the process of calculating detection parameters of quality control of MSCT imaging system,and provide a reliable detection tool for quality control of MSCT imaging equipment,which can effectively improve the detection efficiency of quality control.

Objective:To design an intelligent measurement program of detection parameters of quality control of imaging system of multi-slice spiral computed tomography (MSCT) based on MATLAB software platform,so as to achieve intelligent detection for quality control of MSCT imaging system. Methods:We designed an intelligent measurement program for the detection parameters of quality control of MSCT imaging system (referred to as the intelligent measurement program) bases on the function of graphical user interfaces (GUI) of MATLAB software. A series of algorithms such as image reading,binarization,and circular detection based on the Hough transform were employed to conduct automatic measurement and calculation for CT values (water),noise and uniformity of the parameters of MSCT quality control. The Intraclass Correlation Coefficient (ICC) was adopted to analyze the consistency of the detection results between the manual measurement method and the designed intelligent detection program. Results:The designed intelligent measurement program in this study can automatically assess the detection parameters of quality control of the MSCT imaging system,which included CT values (water),noise and uniformity. There was favorable consistency in the detection results between the manual measurement method and the intelligent measurement program (range of ICC values was from 0.881 to 0.985). Conclusion:The intelligent measurement program of detection parameters of quality control of MSCT imaging system can simplify the process of calculating detection parameters of quality control of MSCT imaging system,and provide a reliable detection tool for quality control of MSCT imaging equipment,which can effectively improve the detection efficiency of quality control.

Objective To observe the effect of acetated Ringer's solution or lactated Ringer's solution on intra-operative vital signs and blood gas analysis indexes in children (aged 1-6 years) undergoing tibia pseudoarthrosis orthopaedic operation. Methods Sixty-four children who underwent tibial pseudoarthrosis orthopaedic operation admitted to the Department of Anesthesiology of Hunan Children's Hospital from October 2016 to October 2018 were enrolled and anesthesia was performed by general anesthesia combined with epidural anesthesia, children were randomly divided into a sodium lactated Ringer's solution injection group (LR group) and a acetated Ringer's solution injection group (AR group), and different groups of children were treated with the corresponding crystal solution for intra-operative maintenance. The vital signs and results of blood gas analysis, etc of the two groups were compared at T1 (before the operation), T2 (2 hours after the beginning of operation) and T3 (at the end of operation). Results Finally, 22 patients in LR group and 28 patients in AR group had completed the study. The arterial partial pressure of carbondioxide (PaCO2), blood Na+, K+, Ca2+, glucose, hematocrit (HCT), bicarbonate (HCO3-), total hemoglobin (THb), etc laboratory indicators as well as vital signs of heart rate, systolic blood pressure, diastolic blood pressure, body temperature, etc. showed no statistically significant differences between the two groups at T1 (all P > 0.05). The lactate (Lac) levels at T2 and T3 in AR group were obviously lower than those in LR group (mmol/L: T2 was 1.01±0.21 vs. 1.42±0.47, T3 was 1.38±0.53 vs.2.07±0.48, both P < 0.05) , while pH, base excess (BE) and HCO3- were obviously higher in AR group [pH: T2 was 7.35±0.08 vs. 7.32±0.07, T3 was 7.33±0.06 vs. 7.28±0.03; BE (mmol/L): T2 was 1.02±0.18 vs. 0.67±0.45, T3 was 0.03±0.28 vs. -0.01±0.57; HCO3- (mmol/L): T2 was 21.28±1.20 vs. 20.10±0.17, T3 was 21.09±0.28 vs. 19.96±6.67, all P < 0.05]. Conclusion In the orthopaedic surgery of children's tibia pseudoarthrosis orthopaedic operation, acetated Ringer's solution not only can maintain water, electrolyte, acid-base balance and blood circulatory stabilities but also can reduce the increase of lactate level, which is conducive to maintaining the stability of the internal environment in the organism.

AIM and METHODS:To investigate the effect of electrical stimulation of VSA on the firing of thermosensitive neurons in preoptic anterior hypothalamus (POAH), the firing rate of thermosensitive neurons in POAH of 20 New Zealand white rabbits was recorded by using extracellular microelectrode techinque. RESULTS:(1)Electrical stimulation of ventral septal area (VSA) caused a significant increase in firing rate of warm-sensitive neurons in the preoptic area of the anterior hypothalamus(POAH).(2) The firing rate of cold-sensitive neurons was decreased remarkably in the POAH by electrical stimulation of VSA. CONCLUSION:VSA may play a controlling role in the thermoregulation through altering the firing rate of thermosensitive neurons in the POAH.