Objective Readout segmentation of long variable echo-trains diffusion weighted imaging(RESOLVE DWI)was used to analyze the difference of apparent diffusion coefficient(ADC)value in deep cerebral nucleus and its correlation with clinical characteristics in patients with Parkinson's disease(PD).Methods Clinical data of 60 patients with PD were retrospectively analyzed as PD group,and were divided in-to the tremor group(n=30)and the bradykinesia group(n=30)according to symptom type,middle-aged(≤65 years old)group(n=23)and elderly(＞65 years old)group(n=37)according to age,and 60 healthy vol-unteers were selected as the control group during the same period.ADC values were measured on the ADC map of RESOLVE DWI sequence,and the ADC values of bilateral putamen,pallidus,substantia nigra,rubra,and dentate nucleus were analyzed and their correlation with UPDRS-Ⅲ score and H&Y grading.Results Compared with the control group,the ADC values of both putamen,globus pallidus,globus pallidus,red nucleus,right substantia nigra and right dentate nucleus were increased in the PD group,the ADC values of both putamen,globus pallidus,red nucleus and right substantia nigra in the tremor group were increased,and the ADC values of right putamen,globus pallidus and bilateral red nucleus in the bradykinesia group were increased(P＜0.05).Compared with the bradykinesia group,the values of ADC in the tremor group were similar.Compared with the middle-aged group,the ADC values of right putamen,bilateral globus pallidus,left substantia nigra and left red nucleus were higher in the elderly group(P＜0.05).In the PD group,the ADC values of the right putamen,globus pallidus,and dentate nucleus were positively correlated with H&Y grade and UPDRS-Ⅲscore,and the ADC value of the left putamen was positively correlated with H&Y grade.Conclusion RE-SOLVE DWI can be used to evaluate the differences in deep gray matter nuclei in PD patients,and its ADC value may be used to evaluate and predict the severity of nuclear mass damage and motor symptoms in PD pa-tients.

Objective This study investigated the regulatory effect of high mobility group protein B1 (HMGB1) in the peripheral blood of patients with primary immune thrombocytopenia (ITP) on myeloid dendritic cells (mDC) and Th17/regulatory T cells (Treg) balance. Methods The study enrolled 30 newly diagnosed ITP patients and 30 healthy controls.Flow cytometry was used to measure the proportion of mDC, Th17, and Treg cells in the peripheral blood of ITP patients and healthy controls. ELISA was conducted to quantify the serum levels of HMGB1, interleukin 6 (IL-6), IL-23, IL-17, and transforming growth factor β(TGF-β). The mRNA levels of retinoic acid-related orphan receptor γt(RORγt) and forehead box P3(FOXP3) were detected by real-time PCR. The correlation between the abovementioned cells, cytokines, and platelet count was assessed using Pearson linear correlation analysis. Results The proportion of Th17 cells and the expression levels of HMGB1, IL-6, IL-23, IL-17 and the level of RORγt mRNA in the peripheral blood of ITP patients were higher than those in healthy controls. However, the Treg cell proportion and TGF-β level were lower in ITP patients than those in healthy controls. In patients with ITP, the proportion of mDC and the level of FOXP3 mRNA did not show significant changes. The proportion of mDC cells was significantly correlated with the expression of IL-6 and IL-23. Moreover, the expression of HMGB1 showed a significant correlation with the expression of mDC, IL-6, IL-23, RORγt mRNA, and IL-17. Notably, both the proportion of mDC cells and the expression of HMGB1 were negatively correlated with platelet count. Conclusion The high expression of HMGB1 in peripheral blood of ITP patients may induce Th17/Treg imbalance by promoting the maturation of mDC and affecting the secretion of cytokines, thereby potentially playing a role in the immunological mechanism of ITP.
Humans ; Th17 Cells/cytology* ; HMGB1 Protein/genetics* ; T-Lymphocytes, Regulatory/cytology* ; Female ; Male ; Dendritic Cells/metabolism* ; Adult ; Middle Aged ; Purpura, Thrombocytopenic, Idiopathic/genetics* ; Nuclear Receptor Subfamily 1, Group F, Member 3/genetics* ; Young Adult ; Interleukin-23/blood* ; Interleukin-17/blood* ; Interleukin-6/blood* ; Forkhead Transcription Factors/genetics* ; Myeloid Cells/cytology* ; Aged

Medical image recognition is a technology that utilizes computer algorithms to process,analyze and understand medical images,aiming to identify various patterns,targets and objects,thereby aiding doctors in more accurate diagnosis and treatment.Current researches in medical image recognition mainly focuses on medical image classification,lesion location and segmentation,image registration and fusion,content-based image retrieval,as well as three-dimensional reconstruction and visualization.The review provides a summary of the research directions and trends in medical image recognition,introducing concepts and technologies such as deep learning,multimodal fusion,three-dimensional reconstruction and visualization.It also highlights the applications of medical image recognition in medical imaging diagnosis,pathological analysis and radiotherapy planning,while pointing out the existing problems and challenges.Furthermore,the future developments and challenges of medical image recognition technology are put forward for providing a reference for medical image recognition research and clinical medical image analysis.

OBJECTIVE: To explore the clinical phenotype, pregnancy outcome and follow-up of fetuses with 15q11.2BP1-BP2 microdeletions in order to provide a basis for prenatal and reproductive consultation. METHODS: From March 2019 to December 2023, 20 fetuses who were diagnosed with 15q11.2BP1-BP2 microdeletion syndrome at the Prenatal Diagnosis Center of General Hospital of Ningxia Medical University were selected as the study subjects. Results of genetic testing and ultrasound examination, outcome of pregnancy, and postnatal follow-up were retrospectively analyzed. This study has been approved by the Ethics Committee of General Hospital of Ningxia Medical University ([2020]0520B). RESULTS: None of the 20 fetuses was found to have chromosomal abnormality, whilst all were found to harbor a 15q11.2 BP1-BP2 microdeletion by low-depth whole genome sequencing (CNV-seq). The range of deletions was determined as 0.26 ~ 0.87 Mb, and all were rated as pathogenic CNVs. Three fetuses had abnormal ultrasound findings, including 1 with widened renal pelvis, 1 with agenesis of corpus callosum, and 1 with nuchal fold thickening. Parental verification in 10 couples verified that two fetal deletions were de novo, whilst the remaining eight were inherited from a phenotypically normal parent. Following genetic counseling, three couples had opted to terminate the pregnancy, whilst the remaining 17 had continued with the pregnancy until delivery. The 17 liveborns were followed up for 2 months to 5 years, with no obvious abnormality in growth and development noted. CONCLUSION CNV-seq plays an important role in the prenatal diagnosis of 15q11.2 BP1-BP2 microdeletions. Such deletions may not always lead to disease phenotypes. Individualized consultation and long-term follow-up, in combination with intrauterine ultrasound and parental verification are necessary.
Humans ; Female ; Pregnancy ; Chromosomes, Human, Pair 15/genetics* ; Genetic Counseling ; Prenatal Diagnosis ; Chromosome Deletion ; Adult ; Fetus/abnormalities* ; Retrospective Studies ; Pregnancy Outcome ; Ultrasonography, Prenatal ; Genetic Testing ; DiGeorge Syndrome/diagnosis* ; Male

Objective:To investigate the effects of body habitus and gender on radiation dose assessment methodologies in low-dose chest CT, with particular emphasis on clarifying discrepancies among various dose quantification approaches and their associations with patient characteristics.Methods:Imaging data from 19 371 patients who underwent low-dose chest CT at the First Affiliated Hospital of Chongqing Medical University between January 2021 and January 2024 were retrospectively analyzed. Patients were categorized into eight groups based on water-equivalent diameter (WED) and gender: Group A (150 mm≤WED<210 mm; 71 males, 1 032 females), Group B (210 mm≤WED<260 mm; 4 525 males, 8 005 females), Group C (260 mm≤WED<300 mm; 4 234 males, 1 105 females), and Group D (WED≥300 mm; 357 males, 42 females). WED, size-specific dose estimate (SSDE), and organ dose-based effective dose(ED Radimetrics)were calculated using Radimetrics software. Scanner-reported dose metrics, including volume CT dose index (CTDIvol), dose-length product (DLP), and DLP-derived effective dose(ED DLP), were recorded. The ratios of SSDE/CTDIvol and ED Radimetrics/ED DLP were used to quantify discrepancies between dose evaluation methods. The Kruskal-Wallis test was employed to analyze dose metric differences across WED groups within the same gender, while the Wilcoxon rank-sum test compared gender-based differences within each WED group. Results:All dose metrics significantly increased with WED for both genders (all P<0.05). Within the same WED group, ED Radimetrics was significantly higher in females ( P<0.05), whereas ED DLP was higher in males ( P<0.05). The SSDE/CTDIvol ratio decreased with increasing WED, declining from 1.74 in Group A to 1.16 in Group D for females and from 1.68 to 1.12 for males. The ED Radimetrics/ED DLP ratio exhibited a decreasing trend with WED in females (1.82 to 1.30) but showed an initial increase in males (1.29 in Group A to 1.31 in Group B) before decreasing to 0.94 in Group D (all intergroup P<0.05). SSDE/CTDIvol and ED Radimetrics/ED DLP ratios of females were consistently higher than that of males within each WED group (all P<0.05). Conclusions:Patient body habitus and gender significantly influence radiation dose distribution in low-dose chest CT. Larger body habitus is associated with higher radiation doses, while females receive greater ED Radimetrics than males within comparable body habitus. Traditional dose metrics (CTDIvol and ED DLP) were underestimated for patients with small body sizes and female individuals.

Objective:To explore the clinical phenotype, pregnancy outcome and follow-up of fetuses with 15q11.2BP1-BP2 microdeletions in order to provide a basis for prenatal and reproductive consultation.Methods:From March 2019 to December 2023, 20 fetuses who were diagnosed with 15q11.2BP1-BP2 microdeletion syndrome at the Prenatal Diagnosis Center of General Hospital of Ningxia Medical University were selected as the study subjects. Results of genetic testing and ultrasound examination, outcome of pregnancy, and postnatal follow-up were retrospectively analyzed. This study has been approved by the Ethics Committee of General Hospital of Ningxia Medical University (No. [2020]0520B).Results:None of the 20 fetuses was found to have chromosomal abnormality, whilst all were found to harbor a 15q11.2 BP1-BP2 microdeletion by low-depth whole genome sequencing (CNV-seq). The range of deletions was determined as 0.26 ~ 0.87 Mb, and all were rated as pathogenic CNVs. Three fetuses had abnormal ultrasound findings, including 1 with widened renal pelvis, 1 with agenesis of corpus callosum, and 1 with nuchal fold thickening. Parental verification in 10 couples verified that two fetal deletions were de novo, whilst the remaining eight were inherited from a phenotypically normal parent. Following genetic counseling, three couples had opted to terminate the pregnancy, whilst the remaining 17 had continued with the pregnancy until delivery. The 17 liveborns were followed up for 2 months to 5 years, with no obvious abnormality in growth and development noted. Conclusion:CNV-seq plays an important role in the prenatal diagnosis of 15q11.2 BP1-BP2 microdeletions. Such deletions may not always lead to disease phenotypes. Individualized consultation and long-term follow-up, in combination with intrauterine ultrasound and parental verification are necessary.

Objective:To explore the clinical phenotype, pregnancy outcome and follow-up of fetuses with 15q11.2BP1-BP2 microdeletions in order to provide a basis for prenatal and reproductive consultation.Methods:From March 2019 to December 2023, 20 fetuses who were diagnosed with 15q11.2BP1-BP2 microdeletion syndrome at the Prenatal Diagnosis Center of General Hospital of Ningxia Medical University were selected as the study subjects. Results of genetic testing and ultrasound examination, outcome of pregnancy, and postnatal follow-up were retrospectively analyzed. This study has been approved by the Ethics Committee of General Hospital of Ningxia Medical University (No. [2020]0520B).Results:None of the 20 fetuses was found to have chromosomal abnormality, whilst all were found to harbor a 15q11.2 BP1-BP2 microdeletion by low-depth whole genome sequencing (CNV-seq). The range of deletions was determined as 0.26 ~ 0.87 Mb, and all were rated as pathogenic CNVs. Three fetuses had abnormal ultrasound findings, including 1 with widened renal pelvis, 1 with agenesis of corpus callosum, and 1 with nuchal fold thickening. Parental verification in 10 couples verified that two fetal deletions were de novo, whilst the remaining eight were inherited from a phenotypically normal parent. Following genetic counseling, three couples had opted to terminate the pregnancy, whilst the remaining 17 had continued with the pregnancy until delivery. The 17 liveborns were followed up for 2 months to 5 years, with no obvious abnormality in growth and development noted. Conclusion:CNV-seq plays an important role in the prenatal diagnosis of 15q11.2 BP1-BP2 microdeletions. Such deletions may not always lead to disease phenotypes. Individualized consultation and long-term follow-up, in combination with intrauterine ultrasound and parental verification are necessary.

Medical image recognition is a technology that utilizes computer algorithms to process,analyze and understand medical images,aiming to identify various patterns,targets and objects,thereby aiding doctors in more accurate diagnosis and treatment.Current researches in medical image recognition mainly focuses on medical image classification,lesion location and segmentation,image registration and fusion,content-based image retrieval,as well as three-dimensional reconstruction and visualization.The review provides a summary of the research directions and trends in medical image recognition,introducing concepts and technologies such as deep learning,multimodal fusion,three-dimensional reconstruction and visualization.It also highlights the applications of medical image recognition in medical imaging diagnosis,pathological analysis and radiotherapy planning,while pointing out the existing problems and challenges.Furthermore,the future developments and challenges of medical image recognition technology are put forward for providing a reference for medical image recognition research and clinical medical image analysis.

Objective:To investigate the effects of body habitus and gender on radiation dose assessment methodologies in low-dose chest CT, with particular emphasis on clarifying discrepancies among various dose quantification approaches and their associations with patient characteristics.Methods:Imaging data from 19 371 patients who underwent low-dose chest CT at the First Affiliated Hospital of Chongqing Medical University between January 2021 and January 2024 were retrospectively analyzed. Patients were categorized into eight groups based on water-equivalent diameter (WED) and gender: Group A (150 mm≤WED<210 mm; 71 males, 1 032 females), Group B (210 mm≤WED<260 mm; 4 525 males, 8 005 females), Group C (260 mm≤WED<300 mm; 4 234 males, 1 105 females), and Group D (WED≥300 mm; 357 males, 42 females). WED, size-specific dose estimate (SSDE), and organ dose-based effective dose(ED Radimetrics)were calculated using Radimetrics software. Scanner-reported dose metrics, including volume CT dose index (CTDIvol), dose-length product (DLP), and DLP-derived effective dose(ED DLP), were recorded. The ratios of SSDE/CTDIvol and ED Radimetrics/ED DLP were used to quantify discrepancies between dose evaluation methods. The Kruskal-Wallis test was employed to analyze dose metric differences across WED groups within the same gender, while the Wilcoxon rank-sum test compared gender-based differences within each WED group. Results:All dose metrics significantly increased with WED for both genders (all P<0.05). Within the same WED group, ED Radimetrics was significantly higher in females ( P<0.05), whereas ED DLP was higher in males ( P<0.05). The SSDE/CTDIvol ratio decreased with increasing WED, declining from 1.74 in Group A to 1.16 in Group D for females and from 1.68 to 1.12 for males. The ED Radimetrics/ED DLP ratio exhibited a decreasing trend with WED in females (1.82 to 1.30) but showed an initial increase in males (1.29 in Group A to 1.31 in Group B) before decreasing to 0.94 in Group D (all intergroup P<0.05). SSDE/CTDIvol and ED Radimetrics/ED DLP ratios of females were consistently higher than that of males within each WED group (all P<0.05). Conclusions:Patient body habitus and gender significantly influence radiation dose distribution in low-dose chest CT. Larger body habitus is associated with higher radiation doses, while females receive greater ED Radimetrics than males within comparable body habitus. Traditional dose metrics (CTDIvol and ED DLP) were underestimated for patients with small body sizes and female individuals.

In recent years， data mining algorithms have been widely employed in scientific research within the field of traditional Chinese medicine （TCM）. The data mining algorithms are used to effectively handle and analyze the complex data in TCM formulas， providing a rational explanation for the mechanism of action. This method has proven particularly useful in uncovering patterns of compatibility and frequent combinations of herbs in TCM， thereby enhancing the reliability and accuracy of clinical diagnosis， target screening， and the study of new drugs. This paper reviews and analyzes 147 papers on TCM formula research that utilize data mining algorithms. The results indicate that data mining algorithms play a unique advantage in six sub- areas， including the study on the mechanism of action in TCM formula， the dose-efficacy of TCM formulas， the identification of core drugs pairs/groups， mining the relationships among “formulas-drug-symptom”， the discovery of new formulas， and mining the compatibility law. Notably， association rules and clustering algorithms are the most representative.