Objectives: Osteoporosis is a silent disease with low screening rates in many developing countries. This study aimed to evaluate the feasibility of using an artificial intelligence (AI)-based system to screen osteoporosis from pelvic and hip radiographs in Vietnam. Methods: We conducted a cross-sectional study at a tertiary medical center in Central Vietnam in 2023. A total of 2000 consecutive pelvic and hip radiographs from patients aged ≥ 40 years were collected. After excluding poorquality images, 1987 radiographs were analyzed using an AI-based software designed to estimate bone mineral density (BMD) from plain radiographs and derive T-scores. Osteoporosis was defined as a T-score ≤ − 2.5. Patient characteristics, radiographic findings, and risk factors for osteoporosis were analyzed. Results: Among 1987 patients (mean age 66.4 ± 15.1 years; 41.3% men), osteoporosis was identified in 872 patients (43.9%). The prevalence increased with age and was higher in women than in men (58.7% vs 22.8%, P < 0.001). Osteoporosis was associated with femoral neck (OR = 3.8, 95% CI: 2.7–5.2) and intertrochanteric fractures (OR = 7.0, 95% CI: 4.5–11.0). Patients with lower T-scores had a higher risk of hip fractures, especially those with T-scores ≤ − 3.0 (OR = 11.5, 95% CI: 5.5–24.5). Conclusions AI-based analysis of pelvic and hip radiographs is a feasible and effective tool for osteoporosis screening in Vietnam. The prevalence of osteoporosis in this hospital-based setting was high, particularly among elderly women.AI-assisted screening may offer an accessible strategy for early detection of osteoporosis in resource-limited settings.

Objective: This study aimed to develop a configurable clean room paradigm with low air pressure for assisted reproductive technology (ART) clinics and demonstrate the concept’s efficacy using in vitro fertilization (IVF) treatment. Methods: A high-standard clean room system with positive pressure (13 Pa) was built using accessible materials and equipment for ART laboratories. Methods for controlling and evaluating the clean room’s characteristics were developed and implemented for quality assessment and calibration to maximize efficiency. The feasibility of the flexible clean room concept was assessed by analyzing the key performance indicators of embryo culture and IVF treatment. Results: After 3 weeks of testing, the concentration of particles ≥0.5 μm was 6.04 times lower than the International Organization for Standardization (ISO) class 5 standard (3,520 particles/m3) in the IVF laboratory. Air pressure, noise, temperature, and humidity were controlled stably and appropriately. Five days after installation and handover, the volatile organic compound concentration dropped to 0.00 ppm. With blastocysts and a respectable blastocyst rate, embryonic culture with female patients younger than 40 matched the criteria (63.5% and 38.9%, respectively). After vitrified blastocysts were transferred, the pregnancy and implantation rates were 58.5% and 36.2%, respectively, demonstrating a high degree of treatment success. Conclusion Our customizable, high-quality, low-air-pressure clean room model can be implemented to achieve positive outcomes for infertility treatment.

Objective: This study aimed to develop a configurable clean room paradigm with low air pressure for assisted reproductive technology (ART) clinics and demonstrate the concept’s efficacy using in vitro fertilization (IVF) treatment. Methods: A high-standard clean room system with positive pressure (13 Pa) was built using accessible materials and equipment for ART laboratories. Methods for controlling and evaluating the clean room’s characteristics were developed and implemented for quality assessment and calibration to maximize efficiency. The feasibility of the flexible clean room concept was assessed by analyzing the key performance indicators of embryo culture and IVF treatment. Results: After 3 weeks of testing, the concentration of particles ≥0.5 μm was 6.04 times lower than the International Organization for Standardization (ISO) class 5 standard (3,520 particles/m3) in the IVF laboratory. Air pressure, noise, temperature, and humidity were controlled stably and appropriately. Five days after installation and handover, the volatile organic compound concentration dropped to 0.00 ppm. With blastocysts and a respectable blastocyst rate, embryonic culture with female patients younger than 40 matched the criteria (63.5% and 38.9%, respectively). After vitrified blastocysts were transferred, the pregnancy and implantation rates were 58.5% and 36.2%, respectively, demonstrating a high degree of treatment success. Conclusion Our customizable, high-quality, low-air-pressure clean room model can be implemented to achieve positive outcomes for infertility treatment.

Background: This study examined the clinical application of the modified computed tomography severity index (MCTSI) and retroperitoneal extension classification (REC) in the evaluation of acute pancreatitis (AP) among Vietnamese patients. Methods: Data from 115 patients with AP between January 2022 and February 2024 were retrospectively analyzed. AP was diagnosed using the revised Atlanta classification (RAC) criteria. All computed tomography images were assessed by two abdominal radiologists with over 10 years of experience. Patients with AP secondary to blunt abdominal trauma were excluded. Results: The mean patient age was 49.8 ± 16.7 years, and the male:female ratio was 2.7:1. Necrotizing AP was observed in 24.3% of cases and extrapancreatic complications in 35.7%. Pancreatic and peripancreatic fluid collections were noted in 68.7% of cases, including 39.1% with acute peripancreatic fluid collection, 7.8% pseudocyst, 21.7% acute necrotic collection, and 4.3% walled-off necrosis. Based on MCTSI, the rates of mild, moderate, and severe AP were 28.7%, 53.9%, and 17.4%, respectively. Grades I, II, III, IV, and V REC represented 55.7%, 13.0%, 19.1%, 5.2%, and 7.0% of patients, respectively. MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149–6.437; P = 0.023). MCTSI > 7 was the cutoff for predicting severe AP, with a sensitivity of 83.3%, specificity of 86.2%, and area under the curve of 0.944 (P < 0.001). Compared to the non-severe group, those with severe AP according to MCTSI had a longer hospitalization period (11 [9.25–16.75] days vs. 9 [6.50–12.00] days), a higher intensive care unit admission rate (30.0% vs. 3.2%), and greater mortality (15.0% vs. 1.1%). Conclusion In the assessment of AP severity, MCTSI and REC were correlated with RAC. MCTSI was an independent predictor of severe AP.

Background: This study examined the clinical application of the modified computed tomography severity index (MCTSI) and retroperitoneal extension classification (REC) in the evaluation of acute pancreatitis (AP) among Vietnamese patients. Methods: Data from 115 patients with AP between January 2022 and February 2024 were retrospectively analyzed. AP was diagnosed using the revised Atlanta classification (RAC) criteria. All computed tomography images were assessed by two abdominal radiologists with over 10 years of experience. Patients with AP secondary to blunt abdominal trauma were excluded. Results: The mean patient age was 49.8 ± 16.7 years, and the male:female ratio was 2.7:1. Necrotizing AP was observed in 24.3% of cases and extrapancreatic complications in 35.7%. Pancreatic and peripancreatic fluid collections were noted in 68.7% of cases, including 39.1% with acute peripancreatic fluid collection, 7.8% pseudocyst, 21.7% acute necrotic collection, and 4.3% walled-off necrosis. Based on MCTSI, the rates of mild, moderate, and severe AP were 28.7%, 53.9%, and 17.4%, respectively. Grades I, II, III, IV, and V REC represented 55.7%, 13.0%, 19.1%, 5.2%, and 7.0% of patients, respectively. MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149–6.437; P = 0.023). MCTSI > 7 was the cutoff for predicting severe AP, with a sensitivity of 83.3%, specificity of 86.2%, and area under the curve of 0.944 (P < 0.001). Compared to the non-severe group, those with severe AP according to MCTSI had a longer hospitalization period (11 [9.25–16.75] days vs. 9 [6.50–12.00] days), a higher intensive care unit admission rate (30.0% vs. 3.2%), and greater mortality (15.0% vs. 1.1%). Conclusion In the assessment of AP severity, MCTSI and REC were correlated with RAC. MCTSI was an independent predictor of severe AP.

Background: This study examined the clinical application of the modified computed tomography severity index (MCTSI) and retroperitoneal extension classification (REC) in the evaluation of acute pancreatitis (AP) among Vietnamese patients. Methods: Data from 115 patients with AP between January 2022 and February 2024 were retrospectively analyzed. AP was diagnosed using the revised Atlanta classification (RAC) criteria. All computed tomography images were assessed by two abdominal radiologists with over 10 years of experience. Patients with AP secondary to blunt abdominal trauma were excluded. Results: The mean patient age was 49.8 ± 16.7 years, and the male:female ratio was 2.7:1. Necrotizing AP was observed in 24.3% of cases and extrapancreatic complications in 35.7%. Pancreatic and peripancreatic fluid collections were noted in 68.7% of cases, including 39.1% with acute peripancreatic fluid collection, 7.8% pseudocyst, 21.7% acute necrotic collection, and 4.3% walled-off necrosis. Based on MCTSI, the rates of mild, moderate, and severe AP were 28.7%, 53.9%, and 17.4%, respectively. Grades I, II, III, IV, and V REC represented 55.7%, 13.0%, 19.1%, 5.2%, and 7.0% of patients, respectively. MCTSI and REC were correlated with RAC in the evaluation of AP severity. Multivariate regression analysis revealed MCTSI to be an independent predictor of severe AP (odds ratio, 2.719; 95% confidence interval, 1.149–6.437; P = 0.023). MCTSI > 7 was the cutoff for predicting severe AP, with a sensitivity of 83.3%, specificity of 86.2%, and area under the curve of 0.944 (P < 0.001). Compared to the non-severe group, those with severe AP according to MCTSI had a longer hospitalization period (11 [9.25–16.75] days vs. 9 [6.50–12.00] days), a higher intensive care unit admission rate (30.0% vs. 3.2%), and greater mortality (15.0% vs. 1.1%). Conclusion In the assessment of AP severity, MCTSI and REC were correlated with RAC. MCTSI was an independent predictor of severe AP.

Objective: This study aimed to develop a configurable clean room paradigm with low air pressure for assisted reproductive technology (ART) clinics and demonstrate the concept’s efficacy using in vitro fertilization (IVF) treatment. Methods: A high-standard clean room system with positive pressure (13 Pa) was built using accessible materials and equipment for ART laboratories. Methods for controlling and evaluating the clean room’s characteristics were developed and implemented for quality assessment and calibration to maximize efficiency. The feasibility of the flexible clean room concept was assessed by analyzing the key performance indicators of embryo culture and IVF treatment. Results: After 3 weeks of testing, the concentration of particles ≥0.5 μm was 6.04 times lower than the International Organization for Standardization (ISO) class 5 standard (3,520 particles/m3) in the IVF laboratory. Air pressure, noise, temperature, and humidity were controlled stably and appropriately. Five days after installation and handover, the volatile organic compound concentration dropped to 0.00 ppm. With blastocysts and a respectable blastocyst rate, embryonic culture with female patients younger than 40 matched the criteria (63.5% and 38.9%, respectively). After vitrified blastocysts were transferred, the pregnancy and implantation rates were 58.5% and 36.2%, respectively, demonstrating a high degree of treatment success. Conclusion Our customizable, high-quality, low-air-pressure clean room model can be implemented to achieve positive outcomes for infertility treatment.

Objective: This study aimed to assess the diagnostic performance of the Risk of Ovarian Malignancy Algorithm (ROMA), Copenhagen Index (CPH-I), and Ovarian Adnexal Reporting and Data System (O-RADS) for the preoperative prediction of ovarian cancer (OC). Methods: A prospective cohort study was conducted on 462 patients diagnosed with ovarian tumors admitted to the Departments of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy Hospital, and Hue Central Hospital from May 2020 to December 2022. ROMA and CPH-I were calculated using cancer antigen 125 (CA125), human epididymal protein 4 (HE4) levels, and patient characteristics (age and menopausal status). O-RADS criteria were applied to describe ovarian tumor characteristics from ultrasound findings.Compared with histopathological results, the predictive values of ROMA, CPH-I, and O-RADS alone or in combination with CA125/HE4 for OC were calculated. Results: Among 462 patients, 381 had benign tumors, 11 had borderline tumors, and 50 had OC. At optimal cut-off points, ROMA’s and CPH-I’s areas under the curves (AUCs) were 0.880 (95% confidence interval [CI]=0.846–0.909) and 0.890 (95% CI=0.857–0.918), respectively, and ROMA and CPH-I sensitivities/specificities (Se/Sp) were 68.85%/95.01% and 77.05%/91.08%, respectively. O-RADS ≥3 yielded an AUCs of 0.949 (95% CI=0.924–0.968), with Se/Sp of 88.52%/88.98% (p<0.001). Combining O-RADS with CA125 demonstrated the highest predictive value, with AUCs of 0.969 (95% CI=0.949–0.983) and Se/Sp of 98.36%/86.09% (p<0.001). Conclusion The ROMA, CPH-I, O-RADS, O-RADS + CA125, and O-RADS + HE4 models demonstrated good predictive values for OC; the combination of O-RADS and CA125 yielded the highest values.

Purpose: To determine the efficacy of apparent diffusion coefficient (ADC) values and ratios (lesion/liver tissue, lesion/splenic tissue, lesion/paraspinal muscle) in differentiating benign from malignant solid liver lesions. Materials and Methods: This study retrospectively analyzed data from 115 patients with solid liver lesions who underwent abdominal magnetic resonance imaging (MRI) at a single institution between January 2023 and December 2024. Lesions were classified as benign or malignant based on biochemical tests as well as radiographic and/or histopathologic findings. ADC values and ratios were determined using a 1.5 T MRI scanner.Quantitative variables are presented as mean ± standard deviation or median (interquartile range). Receiver operating characteristic (ROC) analysis was used to determine the cut-off values for ADC value and ratio, for which associated areas under the ROC curve were calculated. Results: The present analysis included 115 lesions—36 benign and 79 malignant. The median ADC value of the benign lesions was significantly higher than that of malignant lesions: 1744.5 × 10-6 mm2 /s vs. 1168.0 × 10-6 mm2 /s, respectively. The average lesion-toliver ADC (rADC l), lesion-to-spleen ADC (rADCsp), and lesion-to-paraspinal muscle ADC (rADC m) ratios for the benign lesions were significantly higher than those of malignant lesions: 1.79 vs. 1.09, 2.31 vs. 1.44, and 1.19 vs 0.80, respectively. A threshold of 1416 × 10-6 mm2 /s was used to differentiate benign vs. malignant lesions, with a sensitivity of 83.3% and a specificity of 78.5%. The cut-off values for rADC l, rADCsp, and rADC m were 1.55, 1.95, and 0.97, respectively, with sensitivities of 69.4%, 69.4%, and 83.3% and specificities of 87.3%, 91.1%, and 79.9%, respectively. Conclusion ADC metrics obtained from diffusion-weighted MRI effectively distinguished benign from malignant solid liver lesions.

Objective: Academic stress is associated with mental health disorders, notably depression and anxiety among students. Mitigating stress can decrease the incidence of mental health disorders and improve student well-being. This study explored factors influencing academic stress among secondary school students in Vietnam.Materials and Methods: A three-year longitudinal study was conducted using a self-reported questionnaire with 611 students from four secondary schools in Hue City, Vietnam. Academic stress was evaluated using the Educational Stress Scale for Adolescents (ESSA). Family factors, including the number of siblings and parental educational levels; lifestyle factors, including physical activity and sleep; and academic factors, including grade point average and attending extra classes were evaluated. Linear regression models were used to analyze the associations between the ESSA scores at follow-up and family, lifestyle, and academic factors at baseline.Results: A total of 341 students completed both the baseline and follow-up surveys and answered the questions required for this analysis. The mean ESSA score of 341 students increased from 46.4 ± 7.6 (mean ± SD) to 53.5 ± 10.8, from 2018 to 2021. The multivariate model revealed that the number of siblings, higher father’s educational attainment level, female gender, lower academic scores, and attending extra classes were associated with overall academic stress. In contrast, no associations were observed between the variables of lifestyle, parental concentration, and parental acceptance and overall academic stress.Conclusion: The findings highlight the impact of family factors and study workload on academic stress, emphasizing the need for proper care from family and school to reduce or prevent student academic stress and provide them with a comfortable and healthy learning environment.