Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Hemophilia is a hereditary coagulation disorder, in which patients often suffer from joint dysfunction due to recurrent joint bleeding, with the knee joint being particularly susceptible to involvement, thereby significantly impairing their ability to walk.Gait analysis, as an objective, quantitative, and comprehensive assessment tool, can be employed to accurately evaluate the walking function of patients and provide a scientific basis for the rehabilitation management of individuals with hemophilia.With the deepening of medical research, the role of gait analysis in the rehabilitation management of hemophilia is increasingly being recognized.This review article summarizes the application of gait analysis in the rehabilitation management of hemophilia, including changes in gait parameters, kinematic and kinetic characteristics of joints in patients with hemophilia, as well as the relationships between these parameters and the severity of the disease and treatment outcomes in hemophilia patients, exploring the role of gait analysis in the rehabilitation management of hemophilia to better apply it in clinical practice.

Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has been recently identified as a key role in Parkinson's disease (PD) pathogenesis. In particular, lipid peroxidation-mediated ferroptosis is considered a key event leading to the death of dopaminergic neurons. This article reviews the role of lipid peroxidation-mediated ferroptosis in PD and its involved key signaling pathways, and explores the related targeted therapeutic strategies, with the aim of providing new ideas for targeted treatment of PD.

Objective:To investigate the correlation between multifidus muscle cross-sectional area (CSA), fat infiltration index (FI), and the grading of lumbar facet joint degeneration (FJD).Methods:A retrospective analysis was conducted on the clinical data of 105 patients with lumbar FJD treated at Sichuan Orthopaedic Hospital between January 2015 and December 2020. Patients were divided into three groups according to the Weishaupt grading system: 37 cases with Weishaupt grade 1 (Mild Group), 44 cases with Weishaupt grade 2 (Moderate Group), and 24 cases with Weishaupt grade 3 (Severe Group). Baseline characteristics [sex, age, body mass index (BMI), treatment duration], pathological features at initial diagnosis [segmental distribution, bone mineral density (BMD) T-score, facet joint asymmetry, endplate morphology, Modic classification, Oswestry Disability Index (ODI), Japanese Orthopaedic Association (JOA) score], and multifidus muscle MRI findings [multifidus cross-sectional area (CSA) and fat infiltration index (FI)] were compared among the three groups. The correlation between lumbar multifidus CSA, FI, and FJD grade was analyzed. Normally distributed measurement data were expressed as xˉ± s; comparisons among multiple groups were performed by one-way ANOVA, pairwise comparisons were performed by LSD- t tests. Counting data were expressed as case (%) and compared by χ2 test. Spearman correlation analysis was used to analyze the correlation between lumbar multifidus MRI parameters and FJD grade. Results:There were no statistically significant differences among the three FJD groups in sex, age, BMI, treatment duration, segmental distribution, BMD T-score, proportion of facet joint asymmetry, endplate morphology, Modic classification, ODI, or JOA score (all P>0.05). At the L4-5 level, the multifidus CSA on the affected side in the severe group was significantly smaller than in the moderate group and mild group [(6.2±1.2) cm2 vs. (7.0±1.1) cm2 vs. (7.8±1.2) cm2], and the CSA in the moderate group was smaller than in the mild group (all P<0.05). At both the L4-5 and L5-S1 levels, the FI on the affected side in the severe group was significantly greater than in the moderate group and mild group [(0.48±0.12) vs. (0.39±0.15) vs. (0.29±0.10) at L4-5; (0.49±0.12) vs. (0.41±0.10) vs. (0.30±0.13) at L5-S1], and the FI in the moderate group was greater than in the mild group (all P<0.05). Spearman correlation analysis showed that at the L4-5 level, multifidus CSA on the affected side was negatively correlated with FJD grade ( r=-0.41, P=0.004). At the L5-S1 level, FI on the affected side was positively correlated with FJD grade ( r=0.58, P<0.001). Conclusion:The CSA and FI of the multifidus muscle on the affected side in the lumbar spine exhibit significant correlations with the severity of FJD grading. Clinically, early functional exercises can be implemented based on the degree of multifidus muscle degeneration observed in patients.

Objective To analyze the application of combined respiratory training in Mycoplasma-associated bronchopneumonia children and its effect on pulmonary function under family-centered model.Methods A total of 150 Children with Mycoplasma-associated bronchopneumonia treated at Hangzhou Children's Hospital from April 2023 to April 2024 were selected as subjects.The children were divided into control group(n=75)and study group(n=75)using a randomized digital table method.The control group received standard interventions,while the study group received family-centered combined respiratory training in addition to control group's treatment.The two groups were compared in terms of pulmonary function,symptom improvement duration,treatment compliance,and patient satisfaction.Results After intervention,compared with the control group,children in study group had higher forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1/FVC levels,total treatment compliance and satisfaction,the improvement time of cough,fever and dyspnea were shorter,the difference were statistically significant(P＜0.05).Conclusion The use of family-centered combined respiratory training can improve the pulmonary function of children with mycoplasma infection and bronchopneumonia,shorten the time for symptom improvement,and improve the treatment compliance and satisfaction of children.

Objective:To prepare ((2-(2-chlorophenyl)-3-(4-((2- 18F-fluoroethyl)oxy)phenyl)-5, 6, 7, 8-tetrahydrooxepino[3, 2-c]pyrazol-8-yl)amino)methanoic acid methyl ester ( 18F-JR-1001) and evaluate its binding affinity to the cannabinoid type 1 receptor (CB1R). Methods:18F-JR-1001 was synthesized using an integrated automated synthesis module, and its radiochemical yield (RCY) and molar activity were determined. Cell-specific uptake, lipid-water partition coefficient (log P), competitive binding assays, and in vitro stability tests were performed. Rimonabant-fed rat models (blocking group) with pre-occupied CB1R were established. Radioautography and microPET/CT imaging were conducted on both the blocking group and normal Sprague-Dawley (SD) rats to evaluate the brain uptake of 18F-JR-1001 and its blood-brain barrier (BBB) penetration capability. Results:The RCY of the synthetic 18F-JR-1001 after decay correction was (32.5±9.2)% ( n=10), with the molar activity of (194.6±67.3)GBq/μmol. Cell experiments demonstrated that 18F-JR-1001 exhibited specificity for CB1R, with log P of 3.40±0.11 ( n=3) and half-maximal inhibitory concentration of 0.975nmol/L. Within 3h at 37℃, the radiochemical purity of 18F-JR-1001 in physiological saline and blood remained above 92%, with no significant radioactive by-product peaks observed. Radioautography showed that the whole brain uptake of 18F-JR-1001 in the blocking group was 65.6% of that in normal SD rats. MicroPET/CT imaging showed that the mean whole brain uptake of 18F-JR-1001 in the blocking group was 0.4706, which was lower than that in normal SD rats (1.0561). Additionally, continuous scanning for 60min demonstrated that 18F-JR-1001 exhibited good BBB penetration capability. Conclusion:The synthesized 18F-JR-1001 meets the requirements of production and application, and is proved the potential as a CB1R-targeted tracer in the in vitro experiments, microPET/CT imaging and radioautography.

Objective:To develop and validate a novel PET tracer, N-cyclohexyl-4-((2, 4-dichlorophenyl)(4-(fluoro- 18F)phenyl)methyl)piperazine-1-carboxamide ( 18F-SQKJ-2), targeting cannabinoid type 1 (CB1) receptors for diagnosing psychiatric disorders associated with fear memory. Methods:18F-SQKJ-2 was prepared using a nucleophilic substitution radiochemical synthesis method. For the CB1 receptor blocking experiment, 7 ICR mice were divided into blocking group ( n=4; rimonabant for blocking treatment) and control group 1 ( n=3; no rimonabant blocking treatment). The affinity and specificity of 18F-SQKJ-2 for CB1 receptors were analyzed based on the differences in 18F-SQKJ-2 uptake (percentage injected dose per gram of tissue, %ID/g) by various organs between two groups. The metabolic stability of 18F-SQKJ-2 in vitro was studied using animal tissue homogenates. Ten C57 mice were used to establish fear memory mouse models (fear group, n=6; control group 2, n=4), and the percentage of freezing time was compared between 2 groups. MicroPET scans were used to detect the intracranial distribution of 18F-SQKJ-2, and the relative uptake in each brain region compared to total brain uptake was calculated. Statistical analysis was conducted to compare the differences in CB1 receptor relative total brain uptake in fear-related brain regions between 2 groups. Independent-sample t test and Mann-Whitney U test were used to analyze the data. Results:18F-SQKJ-2 was successfully synthesized with a radiochemical purity ≥98.0% and a corrected radioactive yield of (12.3±6.0)%( n=4). In vitro metabolic stability experiments showed that 18F-SQKJ-2 was basically stable in the liver, blood, and brain within 60min. The CB1 receptor blocking experiment demonstrated that the uptake of 18F-SQKJ-2 in the brains of mice in blocking group was significantly lower than that in control group 1 ((0.95±0.28) vs (3.44±1.16) %ID/g; t=-3.57, P=0.023). The percentage of freezing time in fear group was significantly higher than that in control group 2 (43.28%(39.46%, 52.93%) vs 2.74%(1.52%, 4.85%); Z=-2.45, P=0.010). 18F-SQKJ-2 microPET imaging showed that the uptake of 18F-SQKJ-2 in the cerebral cortex of mice in fear group was significantly increased compared with that in control group 2 ((5.83±0.47)% vs (5.00±0.52)%; t=2.42, P=0.046). Conclusion:18F-SQKJ-2 is successfully prepared with acceptable radiochemical purity and metabolic stability, demonstrating potential for visualizing and quantifying fear memory.

Secondary osteoporosis is common in patients with early breast cancer, manifesting as low back pain, bone and joint symptoms, and osteoporotic fractures. Bisphosphonate and denosumab can reduce the incidence of fractures by minimizing bone loss, though they differ in efficacy, treatment course, and side effects. Patients should consider the pros and cons when selecting a drug. Recent studies also focus on decreasing the incidence of bone metastases. This article reviews recent advancements in the use of these two drugs for managing bone health in early breast cancer.