Prediction of the activity of early ankylosing spondylitis using radiomics texture analysis on short tau inversion recovery (STIR).

OBJECTIVES: The study aimed to explore the value of texture analysis of radiomics based on the short tau inversion recovery (STIR) sequence to evaluate the activity of bone marrow oedema of sacroiliac joints in early AS. METHODS: 43 patients with early AS whose data were randomly divided into the training cohort (n=116) and verification cohort (n=56) according to the ratio of 7:3. The optimal feature subsets were obtained by Mann-Whitney U-test, the minimum-Redundancy Maximum-Relevancy (mRMR), and then least absolute shrinkage and selection operator (LASSO) using these texture feature parameters, which were used to construct the final prediction model and obtained the Radscore. The ROC curve was performed to evaluate the performance of the model. The Spearman correlation test was used to analyse the correlation of various indicators. RESULTS: In the training cohort, to differentiate early AS sacroiliac joint bone marrow oedema between the active and stable groups, the AUCs of the Radscore, SPARCC and ADC were 0.81, 0.91, 0.78, respectively. In the validation cohort, the AUCs were 0.87, 0.89, 0.85. In the two cohorts, there were no significant differences in AUCs between values of the Radscore and SPARCC, ADC (p>0.05). There was a significant difference in AUC between SPARCC and ADC in the training cohort (p<0.05), with no statistical significance in the validation cohort (p>0.05). The correlations were all low between the Radscore values and the values of ESR, CRP, tI, ASDAS-ESR and ASDAS-CRP (p<0.05). CONCLUSIONS: Radiomics analysis based on STIR texture analysis has a good prediction for the evaluation of bone marrow oedema activity of sacroiliac joints in AS. It can be a new non-invasive and objective evaluation method for AS activity.

IDEAL-IQ combined with intravoxel incoherent motion diffusion-weighted imaging for quantitative diagnosis of osteoporosis.

BACKGROUND: Osteoporosis (OP) is a common chronic metabolic bone disease characterized by decreased bone mineral content and microstructural damage, leading to increased fracture risk. Traditional methods for measuring bone density have limitations in accurately distinguishing vertebral bodies and are influenced by vertebral degeneration and surrounding tissues. Therefore, novel methods are needed to quantitatively assess changes in bone density and improve the accurate diagnosis of OP. METHODS: This study aimed to explore the applicative value of the iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron (IDEAL-IQ) sequence combined with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for the diagnosis of osteoporosis. Data from 135 patients undergoing dual-energy X-ray absorptiometry (DXA), IDEAL-IQ, and IVIM-DWI were prospectively collected and analyzed. Various parameters obtained from IVIM-DWI and IDEAL-IQ sequences were compared, and their diagnostic efficacy was evaluated. RESULTS: Statistically significant differences were observed among the three groups for FF, R2*, f, D, DDC values, and BMD values. FF and f values exhibited negative correlations with BMD values, with r=-0.313 and - 0.274, respectively, while R2*, D, and DDC values showed positive correlations with BMD values, with r = 0.327, 0.532, and 0.390, respectively. Among these parameters, D demonstrated the highest diagnostic efficacy for osteoporosis (AUC = 0.826), followed by FF (AUC = 0.713). D* exhibited the lowest diagnostic performance for distinguishing the osteoporosis group from the other two groups. Only D showed a significant difference between genders. The AUCs for IDEAL-IQ, IVIM-DWI, and their combination were 0.74, 0.89, and 0.90, respectively. CONCLUSIONS: IDEAL-IQ combined with IVIM-DWI provides valuable information for the diagnosis of osteoporosis and offers evidence for clinical decisions. The superior diagnostic performance of IVIM-DWI, particularly the D value, suggests its potential as a more sensitive and accurate method for diagnosing osteoporosis compared to IDEAL-IQ. These findings underscore the importance of integrating advanced imaging techniques into clinical practice for improved osteoporosis management and highlight the need for further research to explore the full clinical implications of these imaging modalities.

A Novel CT-Based Fracture Risk Prediction Model for COPD Patients.

RATIONALE AND OBJECTIVES: The aim of this study was to develop and validate a novel computed tomography (CT)-based fracture risk assessment model (FRCT) specifically tailored for patients suffering from chronic obstructive pulmonary disease (COPD). METHODS: We conducted a retrospective analysis encompassing a cohort of 284 COPD patients, extracting data on demographics, clinical profiles, pulmonary function tests, and CT-based bone quantification metrics. The Boruta feature selection algorithm was employed to identify key variables for model construction, resulting in a user-friendly nomogram. RESULTS: Our analysis revealed that 37.32% of the patients suffered fragility fractures post-follow-up. The FRCT model, integrating age, cancellous bone volume, average cancellous bone density, high-density lipoprotein levels, and prior fracture incidence, demonstrated superior predictive accuracy over the conventional fracture risk assessment tool (FRAX), with a C-index of 0.773 in the training group and 0.797 in the validation group. Calibration assessments via the Hosmer-Lemeshow test confirmed the model's excellent fit, and decision curve analysis underscored the FRCT model's substantial positive net benefit. CONCLUSION: The FRCT model, leveraging opportunistic CT screening, offers a highly accurate and personalized approach to fracture risk prediction in COPD patients, surpassing the capabilities of existing tools. This model is poised to become an indispensable asset for clinicians in managing osteoporotic fracture risks within the COPD population.

Development of Pickering water-in-oil emulsions using a dual stabilization of candelilla wax and acylated EGCG derivatives to enhance the survival of probiotics (Lactobacillus plantarum) powder.

Probiotics have considerable interest due to their inseparable link to human health. However, probiotic products are seriously challenged during processing, preservation, and intake. Food-grade probiotic delivery systems need to be further explored as an effective way to enhance cell viability. In this study, water-in-oil (W/O) Pickering emulsions were fabricated by adding candelilla wax (CLW) as a network stabilizer based on acylated EGCG derivatives in the crystalline form as a Pickering stabilizer. The effects of acylated EGCG derivatives' concentration, CLW concentration, and oil phase volume fraction on the droplet size distribution, microstructure, and physical stability of Pickering emulsions were explored. The presence of CLW reduced the particle size and improved the physical stability of acylated EGCG-based emulsions, and the effect was more positive with increasing concentration. The protective effect of emulsions with different oil phase volume fractions on Lactobacillus plantarum during freeze-thaw cycles, storage, and gastrointestinal digestion was evaluated. The outer-phase physical barrier of W/O emulsions co-stabilized with acylated EGCG derivatives and CLW facilitated the sensitivity of probiotics to ice crystal growth, temperature changes, acidic environments, and digestive enzymes. The emulsions formulated with 40% oil phase volume fractions allowed Lactobacillus plantarum to survive up to 7.75 log CFU g-1 in the harsh gastrointestinal environment. The results offer promising strategies for applying W/O emulsion probiotic delivery systems in food processing, storage, and oral administration.

Protective Effect of Tea Saponins on Alcohol-Induced Gastric Mucosal Injury in Mice.

Excessive alcohol consumption harms the human body, particularly the digestive system, by causing damage to the gastric mucosa. Tea saponin is a natural active substance extracted from tea tree seeds that has gastroprotective potential against alcohol-induced mucosal damage. However, the protective mechanism of tea saponins is not fully understood. The current study aimed to explore the protective mechanism of tea saponins against alcohol-induced gastric mucosal injury in mice. Histopathological changes, immunohistochemistry, immunoblotting, and gastric mucosa-related cytokine levels were analyzed in three groups of male mice: model, control, and tea saponin-treated. Compared to the model group, the tea saponin group prominently ameliorated alcohol-induced gastric mucosal injury by improving cell necrosis, inflammatory cell infiltration, and edema. Downregulation of inflammation-related factors cluster of differentiation 68 (CD68), myeloperoxidase (MPO), tumor necrosis factor-α (TNF-α), and interleukin-1ß (IL-1ß) was also found in the tea saponin group. These results suggest that tea saponins have a protective effect against alcohol-induced gastric mucosal damage in mice. Therefore, tea saponin may serve as a food additive for gastric mucosal protection.

Clinical application of diffusion-weighted imaging and dynamic contrast-enhanced MRI in assessing the clinical curative effect of early ankylosing spondylitis.

The study aimed to demonstrate the clinical application value of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in assessing a clinical curative effect of early ankylosing spondylitis (AS).Forty-eight patients with early AS who were already treated combinations by traditional Chinese and Western medicine were involved in this study. All subjects underwent the conventional MRI, DWI, and DCE-MRI scanning of bilateral sacroiliac joints before and after treatment. The relevant data, such as the mean apparent diffusion coefficient (ADC) value, time-intensity curve of subarticular surface bone marrow, and the relationship between ADC value and enhancement factor (Fenh), enhancement slope (Senh), and time to peak (TTP), were obtained.1. The mean ADC value of the subarticular surface bone marrow of patients and after clinical treatment was (5.05 ±â€Š1.10) × 10 and (4.34 ±â€Š0.55) × 10 mm/s in ilium and (4.63 ±â€Š0.79) × 10 and (3.96 ±â€Š0.23) × 10 mm/s in sacrum, respectively. 2. In the DCE-MRI follow-up treatment imaging of 48 patients with AS (192 parts), the TIC curve type recorded was as follows: 43.75% (84/192) of type II, 56.25% (108/192) of type III, and type I curve was not seen. The number of type II curve was significantly reduced for pre treatment group (84 cases) compared with that post treatment group (124 cases). The Fenh, Senh, and TTP values were respective (113.38 ±â€Š44.71)%, (60.94 ±â€Š38.56)% min, (129.52 ±â€Š42.66) s in ilium and (83.03 ±â€Š20.39)%, (44.91 ±â€Š15.19)% min, (123.44 ±â€Š28.50) s in sacrum before clinical treatment. After the treatment, the Fenh, Senh, and TTP values were respective (75.90 ±â€Š17.97)%, (33.96 ±â€Š11.36)% min, (138.67 ±â€Š26.60) s in ilium and (73.28 ±â€Š15.67)%, (31.92 ±â€Š8.15)% min, (140.19 ±â€Š19.88) s in sacrum. The Fenh, Senh, and TTP values of semiquantitative indexes before and after clinical treatment were significantly different.DWI and DCE-MRI sequences can help evaluate the degree of active changes in AS inflammation and treatment effect in patients with early AS, and provide reliable imaging evidence.

Study on the diagnosis of small hepatocellular carcinoma caused by hepatitis B cirrhosis via multi-slice spiral CT and MRI.

The present study compared the diagnostic accuracy of multi-slice spiral computed tomography (CT) and magnetic resonance imaging (MRI) on small hepatocellular carcinoma (SHCC) caused by hepatitis B cirrhosis. A total of 160 patients with hepatitis B cirrhosis were selected between January 2012 and April 2016, and 183 SHCC lesions were included in the present retrospective study. Patients were divided into the SHCC group (T stage) and the micro hepatocellular carcinoma (MHCC) group (T1 stage). There were a total of 129 SHCC lesions and 54 MHCC lesions identified. All patients underwent multiphasic CT and MRI imaging. The liver acquisition with volume acquisition (LAVA) technique was utilized for MRI. Furthermore, SPSS 20.0 was used for statistical analyses. LAVA in the arterial phase and CT in the arterial phase revealed significantly higher diagnostic rates for the diagnoses of 183 lesions. In addition, standard CT scan exhibited significantly reduced diagnostic rates in SHCC lesions. Results indicated that LAVA in the equilibrium phase had the lowest diagnostic rate in MHCC lesions, which was statistically significant (P<0.05). Overall, the diagnostic rate of CT (79.63%) for MHCC was significantly lower than that of MRI (96.29%) (P<0.05). However, the diagnostic rate of CT for SHCC (96.12%) was significantly higher than that for MHCC (79.63%) (P<0.05). MRI-LAVA in the arterial phase has the highest diagnostic rate for SHCC and MHCC. However, the diagnostic capability of MRI for MHCC lesions is superior to that of CT.