Background: In the targeted therapy era, the indication for stereotactic radiosurgery (SRS) has ex-panded to include patients with multiple brain metastases (BMs). This study aimed to compare treatment outcomes in epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) patients with 1–4 versus 5–10 BMs, all treated with tyrosine kinase inhibitors (TKIs) and upfront Gamma Knife radiosurgery. Methods: We retrospectively reviewed 74 consecutive EGFR-mutant NSCLC patients with 1–10synchronous BMs treated with first-line EGFR-TKIs and upfront Gamma Knife SRS at Vietnam National Cancer Hospital from 2021 to 2024. Patients were divided into 1–4 BMs (n=39) and 5–10 BMs (n=35) groups. Primary endpoints were intracranial progression-free survival (iPFS) and overall survival (OS). Results: Baseline characteristics were balanced between the two groups. Median iPFS wasnot reached in the 1–4 BMs group and 19 months in the 5–10 BMs group (hazard ratio [HR] 1.06, 95% confidence interval [CI] 0.95–1.17; p=0.31). Median OS was not reached in the 1–4 BMs group and was 23 months in the 5–10 BMs group (HR 1.03, 95% CI 0.91–1.16; p=0.41). Multivariate analysis revealed extracranial response (HR 4.30, p<0.01 for iPFS; HR 7.29, p<0.01 for OS) and presence of extracranial metastases (HR 3.20, p=0.01 for iPFS) as the only independent prognostic factors; number of BMs was not prognostic. Radionecrosis occurred in 6.8%, of which 2.7% were symptomatic. Conclusion In EGFR-mutant NSCLC patients receiving TKIs and upfront Gamma Knife radiosur-gery, the survival time in patients with 5–10 BMs was comparable to that with 1–4 BMs. The number of BMs should not be regarded as a contraindication for SRS in this subgroup.

Streptocaulon juventas, a medicinal plant traditionally used in Vietnam and other Southeast Asian countries, has been previously investigated for certain biological activities of its roots; however, studies on its leaves remain limited. In this study, leaf extracts were evaluated for their in vitro anti-proliferative activity against B16F10 (murine melanoma) and HepG2 (human hepatocellular carcinoma) cell lines, as well as for their αglucosidase inhibitory potential. MTT assays revealed that the hexane (Sj-Hx) and dichloromethane (Sj-DCM) fractions exhibited the strongest cytotoxic effects on B16F10 cells, with IC₅₀ values of 36.09 µg/mL and 45.91 µg/mL, respectively. The hexane fraction (Sj-Hx) also demonstrated potent activity against HepG2 cells, with an IC50 value of 36.65 µg/mL. Notably, none of the extracts exhibited cytotoxicity toward Hs68 normal human fibroblasts, indicating favorable selectivity. DAPI staining further confirmed that both Sj-Hx and Sj-DCM induced nuclear fragmentation and chromatin condensation, consistent with apoptosis induction. Additionally, in vitro assays of anti-diabetic activity revealed that the hexane (Sj-Hx) and ethyl acetate (Sj-EA) extracts displayed the strongest α-glucosidase inhibition, with IC₅₀ values of 221.59 µg/mL and 265.73 µg/mL, respectively. Collectively, these findings suggest that S. juventas leaf extracts possess selective pro-apoptotic activity against cancer cells and represent a promising natural source for the discovery of anti-diabetic agents.

Objectives: The prevalence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association. Methods: A cross-sectional study was conducted at 18 hospitals and health centers in Vietnamfrom December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (usingthe 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions. Results: Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD.Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.86; 95% confidence interval [CI], 1.63–2.12; p < 0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p = 0.001). Compared to those without long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p = 0.001). Conclusion Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.

Sphaeranthus africanus is commonly used as a traditional remedy for sore throats and pain treatment in Vietnam. The aerial parts have been studied for its anti-inflammatory and anti-proliferative properties. However, the antioxidant and antidiabetic potential of the plant has not been explored. In this work, hydrophilic extracts of the plant's aerial parts were prepared in order to investigate its antioxidant and anti-diabetic properties. Also, the cytotoxicity of the root was evaluated and compared to that of the aerial parts. All of the extracts inhibited lipid peroxidation with IC 50 values ranging from 2.05 to 3.56 µg/mL, indicating substantial antioxidant activity. At an IC 50 value of 4.80 μg/mL, the 50% ethanol extract exhibited the most potent inhibition of α-glucosidase. The cytotoxic activity of root extracts is 2 to 5-fold less than that of the aerial parts. Nevertheless, dichloromethane and ethyl acetate extracts of the root demonstrated a selective effect on leukemia cells, with no harm towards the normal HEK-293 cell line. This work provides a scientific support for the antioxidant and antidiabetic activity of the plant. Hence, it may find a promising material for the development of novel antioxidant and antidiabetic agents. More research can be conducted on the phytochemistry and anticancer activities of the plant’s root.

Background: Suicide continues to be a leading cause of death worldwide. Recently, more than 45,000 children in the age group of 10 to 19 years died by suicide, making it the second leading cause of death in the age group of 15 to 19, surpassed only by traffic accidents, tuberculosis, and fighting. Objective: To determine the prevalence of suicidal ideation among adolescents whose parents are separated/divorced; and to explore the factors associated with suicidal ideation and describe adverse experiences among adolescents. Methods: A cross-sectional descriptive study was conducted in 309 adolescents with separated/separated parents in Hue City. Data was collected through direct interviews using a structured questionnaire. Suicidal ideation was defined as the presence of thoughts or plans related to suicide within the last 12 months. Multivariate logistic regression was applied to identify factors associated with suicidal ideation in adolescents with separated/ separated parents. Results: The study found that 15.5% (95% CI:11.7 - 20.1) of adolescents with separated /separated parents reported experiencing suicidal thoughts, in which men accounted 8.4% (95% CI:5.6 – 11.2) and women accounted 7.1% (95% CI:4.5 - 10.6). Several factors were identified as increasing the risk of suicidal ideation, including alcohol use (OR = 3.24; 95% CI:1.42 - 7.42), hyperactivity/inattention (OR = 4.96; 95% CI:1.58 - 15.605), and a poor quality of family relationships (OR = 4.82; 95% CI:1.26 - 18.50). On the contrary, certain factors were found to reduce the risk, including being in the 14-15 age group of 14-15 (OR = 0.26; 95% CI:0.10 - 0.69) and participating in physical activity (OR = 0.44; 95% CI:0.21 – 0.94). Conclusions: The research highlights a significant percentage of adolescents with separated / divided parents who experience suicidal ideation. Therefore, it is imperative for families, schools, and society to develop comprehensive strategies to monitor and address various risky behaviours among students simultaneously.

Background: Melaleuca essential oil has many good effects, bringing economic efficiency; however, low extraction efficiency is a problem that needs to be overcome. This study aims to enhance the efficiency of extracting Melaleuca essential oil by employing deep eutectic solvents (DESs). Materials and methods: Branches and leaves of Melaleuca cajuputi Powell were pretreated by DESs. Carry out the distillation of essential oils by steam distillation. Determination of the chemical composition of essential oils by chromatography-mass spectrometry (GC-MS). Results: The combination of choline chloride and oxalic acid to create DESs solvent system helps the extraction efficiency of Melaleuca essential oil increase by 160%. In addition, the total content of 1,8-cineol and isocineol in the essential oil extracted with DESs solvent was 34.019%, higher than that of the essential oil extracted with distilled water at 30.749%. Conclusions: The positive results show the potential of using DESs solvents to improve the yield and quality of Melaleuca essential oil

Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.

Objectives: Asymptomatic infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and test re-positivity after a negative test have raised concerns about the ability to effectively control the coronavirus disease 2019 (COVID-19) pandemic. We aimed to investigate the prevalence of COVID-19 asymptomatic and pre-symptomatic infections during the second wave of COVID-19 in Viet Nam, and to better understand the duration of SARS-CoV-2 infection and the dynamics between the evolution of clinical symptoms and SARS-CoV-2 test positivity among confirmed COVID-19 cases. Methods: We conducted a cohort analysis on the first 50 confirmed cases during the second COVID-19 wave in Viet Nam using clinical, laboratory and epidemiological data collected from 9 March to 30 April 2020. Kaplan-Meier estimates were used to assess time to clearance of SARS-CoV-2 infection, and log-rank tests were used to explore factors related to time to SARS-CoV-2 infection clearance. Results: Most cases (58%) had no typical signs or symptoms of COVID-19 at the time of diagnosis. Ten cases (20%) were re-positive for SARS-CoV-2 during infection. Eight cases (16%) experienced COVID-19 symptoms after testing negative for SARS-CoV-2. The median duration from symptom onset until clearance of infection was 14 days (range: 6–31); it was longer in re-positive and older patients and those with pre-existing conditions. Conclusion Asymptomatic and pre-symptomatic infections were common during the second wave of COVID-19 in Viet Nam. Re-positivity was frequent during hospitalization and led to a long duration of SARS-CoV-2 infection.

Ultrasonic computed tomography based on back scattering theory is the most powerful and accurate tool in ultrasound based imaging approaches because it is capable of providing quantitative information about the imaged target and detects very small targets. The duple-frequency distorted Born iterative method (DF–DBIM), which uses density information along with sound contrast for imaging, is a promising approach for imaging targets at the level of biological tissues. With two frequencies f₁ (low) and f₂ (high) through Nf₁ and Nf₂ iterations respectively, this method is used to estimate target density along with sound contrast. The implications of duple-frequency fusion for the image reconstruction quality of density information along with sound contrast based ultrasound tomography have been analyzed in this paper. In this paper, we concentrate on the selection of parameters that is supposed to be the best to improve the reconstruction quality of ultrasound tomography. When there are restraints imposed on simulated scenarios to have control of the computational cost, the iteration number Nf₁ is determined resulting in giving the best performance. The DF–DBIM is only effective if there are a moderate number of iterations, transmitters and receivers. In case that the number of transducers is either too large or too small, a result of reconstruction which is better than that of the single frequency approach is not produced by the implementation of DF–DBIM. A fixed sum N(iter) of Nf₁ and Nf₂ was given, the investigation of simulation results shows that the best value of Nf₁ is [N(iter)/2 − 1]. The error, when applying this way of choosing the parameters, will be normalized with the reduction of 56.11%, compared to use single frequency as used in the conventional DBIM method. The target density along with sound contrast is used to image targets in this paper. It is a fact that low-frequency offers fine convergence, and high-frequency offers fine spatial resolution. Wherefore, this technique can effectively expand DBIM's applicability to the problem of biological tissue reconstruction. Thanks to the usage of empirical data, this work will be further developed prior to its application in reality.
Image Processing, Computer-Assisted ; Methods ; Transducers ; Ultrasonics ; Ultrasonography