Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

The treatment process of multiple fertilization failure and salvage fertilization in a male infertile patient was retrospectively analyzed. The patient underwent in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) in another hospital for 3 cycles, all of which had fertilization abnormalities. The complex heterozygous mutation of PLCZ1 gene was detected by infertility gene paneland confirmed by Sanger sequencing in the Reproductive Medicine Center of Renmin Hospital, Hubei University of Medicine, and the gene mutation was derived from both parents. No abnormal mutations were found in the woman's genetic testing. The woman underwent progestin-primed ovarian stimulation, resulting in the retrieval of 9 oocytes. ICSI combined with 10 μmol/L ionomycin assisted oocyte activation (AOA) was applied to all mature eggs,resulting in 7 normal fertilized oocytes and 7 cleavage embryos, 2 high-quality cleavage embryos were frozen. Two months later, the woman underwent frozen-thawed embryo transfer to obtain biochemical pregnancy. Simultaneously, we reviewed the literature on PLCZ1 gene mutations and AOA related literature at home and abroad. From this case we can draw the following conclusions: 1) When no fertilization or polyspermia occurs in an IVF cycle and total fertilization fails in ICSI, genetic testing of both spouses is required to find genetic factors. 2) The mutation of PLCZ1 gene mainly leads to fertilization failure. ICSI combined with AOA is an effective method to rescue fertilization failure. Ionomycin has a significant effect on oocyte activation, and has no effect on embryo formation. However, we still need to accumulate case data to verify the safety of ionomycin AOA.

The treatment process of multiple fertilization failure and salvage fertilization in a male infertile patient was retrospectively analyzed. The patient underwent in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) in another hospital for 3 cycles, all of which had fertilization abnormalities. The complex heterozygous mutation of PLCZ1 gene was detected by infertility gene paneland confirmed by Sanger sequencing in the Reproductive Medicine Center of Renmin Hospital, Hubei University of Medicine, and the gene mutation was derived from both parents. No abnormal mutations were found in the woman's genetic testing. The woman underwent progestin-primed ovarian stimulation, resulting in the retrieval of 9 oocytes. ICSI combined with 10 μmol/L ionomycin assisted oocyte activation (AOA) was applied to all mature eggs,resulting in 7 normal fertilized oocytes and 7 cleavage embryos, 2 high-quality cleavage embryos were frozen. Two months later, the woman underwent frozen-thawed embryo transfer to obtain biochemical pregnancy. Simultaneously, we reviewed the literature on PLCZ1 gene mutations and AOA related literature at home and abroad. From this case we can draw the following conclusions: 1) When no fertilization or polyspermia occurs in an IVF cycle and total fertilization fails in ICSI, genetic testing of both spouses is required to find genetic factors. 2) The mutation of PLCZ1 gene mainly leads to fertilization failure. ICSI combined with AOA is an effective method to rescue fertilization failure. Ionomycin has a significant effect on oocyte activation, and has no effect on embryo formation. However, we still need to accumulate case data to verify the safety of ionomycin AOA.

Objective:To evaluate the clinical effects of a combined pelvic floor rehabilitation magneto-electric therapy approach in women with postpartum pelvic floor dysfunction(PFD).Method:Sixty patients with PFD were randomly divided into three groups:an electrical stimulation group,a magnetic stimulation group,and a combined group,with 20 patients in each group.The evaluation indexes were pelvic floor surface electromyography(sEMG)Glazer assessment,four-dimensional ultrasound of the pel-vic floor,MOS rating,PFDI-20,and PISQ-12 scores.All indexes were evaluated at baseline and after 6 weeks of treatment.Result:After 6 weeks of treatment,the pelvic floor sEMG Glazer assessment,MOS ratings,PISQ-12,PFDI-20 scores,and pelvic floor four-dimensional ultrasound indexes of the patients in all three groups were im-proved compared with those of the pre-treatment period(P＜0.05).Compared with the electrical stimulation group,the combined group showed superior improvement for pelvic floor sEMG Glazer assessment(except for rapid contraction maxima),PFDI-20 scores,and pelvic floor four-dimensional ultrasound(except for area of levator hiatus)(P＜0.05).Compared to the magnetic stimulation group,the combined group showed superior improvement in pelvic floor sEMG Glazer assessment,MOS ratings,PISQ-12 scores,PFDI-20 scores,blad-der neck mobility,and area of levator hiatus(P＜0.05).None of the differences were statistically significant in the electrical stimulation group compared to the magnetic stimulation group(P＞0.05).Conclusion:Magneto-electricity therapy can significantly improve the pelvic floor structure and function of pa-tients with postpartum pelvic floor dysfunction and improve the quality of life,making it worthy of clinical promotion.

Objective To verify the safety and effectiveness of a new percutaneous controllable curved plasma radiofrequency instrument for nucleus pulposus ablation. Methods A new percutaneous controllable curved plasma radiofrequency instrument were designed (controllable curved group), and its ablation effect was compared with the currently used straight head non-bendable plasma ablation instrument (non-bendable group) on gross specimens. The ablation instrument was placed through the right intervertebral foramen, and continuous ablation on the same intervertebral disc was conducted for three times. The ablation range and trajectory were recorded, and the temperature changes in the front, back, left, and right of the ablation center during and 15 seconds after ablation were monitored by the inserted temperature probe. Results There were no difference in temperature changes in the front, back, right regions of the ablation center during and 15 seconds after ablation between the two groups. The temperature changes in the left region of the ablation center both during and 15 seconds after 3rd ablation were larger than those in the non-bendable group (P＜0.01). Compared with the non-bendable group, the controllable curved group achieved angle control and larger single ablation area (2.282 5 mm² vs 1.135 8 mm², P＜0.000 1). Conclusions This new percutaneous controllable curved plasma ablation instrument can achieve angle control and ablation on the side opposite to the puncture site, increase ablation volume, and is safe.

One of the significant hurdles in telemedicine, particularly in ophthalmology, is the absence of direct physical examination. This specialty depends extensively on specialized instruments that typically require proficient operators. Visual function tests are crucial for both outpatient and inpatient ophthalmic services, playing a vital role in screening, diagnosing, monitoring treatment effectiveness, and managing follow-ups for various eye conditions. The progress in mobile technology has paved the way for expanding these tests beyond traditional clinic settings, promoting the creation of patient-focused, straightforward, cost-effective, and efficient measurement tools. In light of the swift advancement of digital technologies, this article reviews the characteristics, and reliability of self-administered visual function tests tools, including visual acuity, refractive error assessment, visual field, contrast sensitivity, and color vision, along with other pertinent diagnostic tools that have been developed and validated for accuracy and repeatability through research, with a view to providing ophthalmologists and patients with scientific and practical references when selecting and using these tools, further promoting efficiency and efficacy of teleophthalmology.

Objective:To dynamically assess liver fibrosis using magnetic resonance elastography (MRE) and explore factors associated with fibrosis reversal in patients with metabolic dysfunction-associated steatohepatitis (MASH).Methods:This study included data from patients diagnosed with MASH by liver biopsy who underwent at least two MRE examinations. Patients were divided into a fibrosis reversal group and a non-reversal group according to whether MRE values decreased by 20% during follow-up. Differences in clinical data between the groups were compared using analysis of variance, the Kruskal-Wallis test, and the chi-square test. Univariate and multivariate logistic regression analyses were used to explore independent risk factors for fibrosis reversal in MASH.Results:A total of 46 cases were included in this study (mean age 50.1±12.3 years, BMI 26.1±3.1 kg/m2). Among them, the reversal group accounted for 26.1%. The rate of decrease in MRI proton density fat fraction (PDFF) was significantly higher in the reversal group (-50.0% vs. -8.1%, P=0.001) than in the non-reversal group between the two MRE examinations. The reversal group showed a more significant change rate of decreases in fasting insulin (-37.3% vs. -3.6%, P=0.011), insulin resistance index (-38.6% vs. -6.5%, P=0.044), and ALP (-24.9% vs. 0, P=0.004). Multivariate logistic regression analysis indicated that the rate of change in MRI PDFF was an independent predictor of fibrosis reversal ( OR=0.96, 95% CI: 0.92-1.00, P=0.046). Conclusion:A decrease in MRI proton density fat fraction levels is independently associated with liver fibrosis reversal in MASH, suggesting that intervention targeting liver fat content may be an effective treatment strategy.

OBJECTIVES: To propose a single repetition time (TR) quantitative magnetic susceptibility imaging method for the lumbar spine using bipolar readout gradient, and compare the quantitative magnetic susceptibility measurement using single TR and dual TR methods for the lumbar spine with different bone densities. METHODS: A translation correction method was proposed to correct spatial misalignment along the frequency encoding direction between positive and negative gradient readout images, and the phase difference between the images was eliminated using a phase correction method. The data of lumbar vertebrae L1-L5 were collected using single TR and dual TR methods from 6 normal individuals, 2 patients with osteopenia, and 2 patients with osteoporosis. The magnetic susceptibility map was reconstructed, the quantitative results of single TR before and after correction were compared with those of the dual TR method. RESULTS: The linear regression result of the lumbar spine magnetic susceptibility values obtained by the single TR method before calibration and the dual TR method is Y=0.64*X-11.61. The linear regression result of the lumbar spine magnetic susceptibility values corrected by the single TR method and the dual TR method is Y=1.03*X+0.25. The results of the corrected single TR method were highly consistent with those of the dual TR method, and the calibrated single TR method could effectively distinguish osteopenia and osteoporosis patients from normal individuals. CONCLUSIONS The calibrated single TR bipolar readout gradient method can generate artifact-free lumbar spine quantitative magnetic susceptibility distribution maps and reduce data acquisition time by 50%.
Humans ; Lumbar Vertebrae/pathology* ; Magnetic Resonance Imaging/methods* ; Female ; Middle Aged ; Male ; Osteoporosis/diagnosis* ; Adult ; Bone Density ; Aged ; Bone Diseases, Metabolic/diagnosis*