Browse publications by year: 2025

  1. Mhd Rodzi NAR, Mohd Sopian M, Lee LK
    Plant Foods Hum Nutr, 2025 Feb 25;80(1):80.
    PMID: 39998708 DOI: 10.1007/s11130-025-01309-8
    Sacha Inchi oil (SIO), derived from seeds of Plukenetia volubilis L., is a novel plant source of unsaturated fatty acids, highly regarded for its health benefits. The rich fractions of polyunsaturated fatty acids have shown potential in improving or reducing the impact of hyperglycaemia, hypertension and hyperlipidaemia (3Hs) for both in vivo and preliminary human studies. This study aimed to investigate the effects of SIO supplementation on glycaemic, lipid and blood pressures outcomes of patients with 3Hs. A randomised, double-blind, placebo-controlled human clinical trial was conducted to investigate the effects of SIO supplementation in fifty-four (n = 54) 3Hs patients. Assessments of glycaemic control, blood pressure and lipid profiles were conducted and compared at baseline and week-12 after 3Hs patients were randomised into SIO group (n = 27) (received 1000 mg of SIO soft gel per day) or the placebo group (n = 27) (received 1000 mg of corn oil), with prescribed medications. The compliancy and tolerability of supplementation were assessed concurrently. The SIO group demonstrated lower systolic (-8.6 mmHg, p = 0.004) and diastolic blood pressure (BP) (-7.0 mmHg, p = 0.004), total cholesterol (TC) (-0.6 mmol/L, p = 0.024), low density lipoprotein-cholesterol (LDL-C) (-0.3 mmol/L, p = 0.036) and high density lipoprotein-cholesterol (HDL-C) (p = 0.048) but no effect on glycaemic markers. No clinical adverse events were reported, and the side effects of SIO supplementation were self-limiting and minimal. SIO supplementation showed the potential to alleviate BPs, reduced both TC and LDL-C, and improved HDL-C levels. SIO may offer a simple, novel complementary medicine for the management of 3Hs.
    MeSH terms: Adult; Aged; Double-Blind Method; Female; Humans; Cholesterol, LDL/blood; Male; Middle Aged; Seeds/chemistry; Dietary Supplements*
  2. Lau ESH, Luk AOY, Lim LL, Wu H, Yang A, Kong APS, et al.
    Diabetes Care, 2025 Apr 01;48(4):579-587.
    PMID: 39998909 DOI: 10.2337/dca24-0069
    OBJECTIVE: Patient-level simulation models, mainly developed in Western populations, capture complex interactions between risk factors and complications to predict the long-term effectiveness and cost-effectiveness of novel treatments and identify high-risk subgroups for personalized care. However, incidence of outcomes varies significantly by ethnicity and region. We used high-quality, patient-level register data to develop the Chinese Diabetes Outcomes Model (CDOM) for predicting incident and recurrent events in type 2 diabetes (T2D).

    RESEARCH DESIGN AND METHODS: The CDOM was developed using the prospective Hong Kong Diabetes Register (HKDR) cohort (n = 21,453; median follow-up duration, 7.9 years; 166,433 patient-years). It was externally validated with a retrospective territory-wide cohort of Chinese patients with T2D attending Hong Kong publicly funded diabetes centers and community clinics (n = 176,120; follow-up duration, 7.2 years; 953,523 patient-years).

    RESULTS: The CDOM predicted first and recurrent events with satisfactory performance during internal (C-statistic = 0.740-0.941) and external (C-statistic = 0.758-0.932) validation after calibration. The respective C-statistic values for cancer were 0.664 and 0.661. Subgroup analysis showed consistent performance during internal (C-statistic = 0.632-0.953) and external (C-statistic = 0.598-0.953) validation after calibration.

    CONCLUSIONS: The CDOM, developed using comprehensive register data with long-term follow-up, is a robust tool for predicting long-term outcomes in Chinese patients with T2D. The model enables the identification of patient subgroups to augment study design and develop tailored novel treatment strategies, inform policy, and guide practice to improve cost-effectiveness of diabetes care.

    MeSH terms: Adult; Aged; Female; Hong Kong/epidemiology; Humans; Male; Middle Aged; Registries*; Diabetes Complications/epidemiology
  3. Wong KK, Ab Hamid SS
    PLoS One, 2025;20(2):e0307048.
    PMID: 39999090 DOI: 10.1371/journal.pone.0307048
    The clinical application of cellular immunotherapy in hepatocellular carcinoma (HCC) is impeded by the lack of a cell surface target frequently expressed in HCC cells and with minimal presence in normal tissues to reduce on-target, off-tumor toxicity. To address this, an in silico multomics analysis was conducted to identify an optimal therapeutic target in HCC. A longlist of genes (n = 12,948) expressed in HCCs according to The Human Protein Atlas database were examined. Eight genes were shortlisted to identify one with the highest expression in HCCs, without being shed into circulation, and with restrictive expression profile in other normal human tissues. A total of eight genes were shortlisted and subsequently ranked according to the combination of their transcript and protein expression levels in HCC cases (n = 791) derived from four independent datasets. TM4SF4 was the top-ranked target with the highest expression in HCCs. TM4SF4 showed more favorable expression profile with significantly lower expression in normal human tissues but more highly expressed in HCC compared with seven other common HCC therapeutic targets. Furthermore, scRNA-seq and immunohistochemistry datasets showed that TM4SF4 was absent in immune cell populations but highly expressed in the bile duct canaliculi of hepatocytes, regions inaccessible to immune cells. In scRNA-seq dataset of HCCs, TM4SF4 expression was positively associated with mitochondrial components and oxidative phosphorylation Gene Ontologies in HCC cells (n = 15,787 cells), suggesting its potential roles in mitochondrial-mediated oncogenic effects in HCC. Taken together, TM4SF4 is proposed as a promising cell surface target in HCC due to its high expression in HCC cells with restricted expression profile in non-cancerous tissues, and association with HCC oncogenic pathways.
    MeSH terms: Computer Simulation; Humans; Membrane Proteins/genetics; Membrane Proteins/metabolism; Gene Expression Regulation, Neoplastic*; Gene Expression Profiling; Cell Line, Tumor
  4. Tian Y, Ahmad RB, Abdullah NAB
    PLoS One, 2025;20(2):e0318225.
    PMID: 39999207 DOI: 10.1371/journal.pone.0318225
    With the increasing demand for electricity, the safety and stability of power grids become paramount, highlighting the critical need for effective maintenance and inspection. Insulators, integral to power grid maintenance as protective devices on outdoor high-altitude conductors, are often subject to suboptimal image quality during drone-based inspections due to adverse weather conditions such as rain, snow, fog, and the challenges posed by sunlight, high-speed movement, and long-distance imaging. To address these challenges and achieve a more accurate inspection system, this manuscript introduces an insulator defect detection algorithm tailored for the low-quality images collected by drone-based imaging systems. Utilizing a patch diffusion model, high-quality images are obtained, enhancing the precision of insulator defect detection methods. Furthermore, to improve detection accuracy, we introduce an optimized DETR method that incorporates a Spatial Information Interaction Module to further strengthen the characteristics of minor defects. Additionally, a special convergence network is employed to augment the detection capabilities of the DETR. Experimental results demonstrate that our proposed insulator detection technique has achieved a detection accuracy of 95.8%, significantly outperforming existing defect detection methods in complex environments. It overcomes the drawbacks of traditional methods by employing sophisticated computational models, leading to more efficient, economical, and secure maintenance and inspection of power grids.
    MeSH terms: Algorithms*; Humans; Image Processing, Computer-Assisted/methods
  5. Fong CY, Kangatharan PASS, Lim WK, Ong LC, Li L, Azanan MS, et al.
    Brain Dev, 2025 Apr;47(2):104339.
    PMID: 39999621 DOI: 10.1016/j.braindev.2025.104339
    AIM: Describe the neurological and functional outcomes, and health-related quality of life (HRQL) of Malaysian children with stroke; and explore factors associated with poor outcomes and lower HRQL.

    METHOD: Cross-sectional study of Malaysian stroke children who were followed-up for at least 2 years. Paediatric Stroke Outcome Measure (PSOM) and modified Rankin scale (mRS) were utilised to assess neurological and functional outcomes. HRQL was assessed using PedsQL (Paediatric Quality of Life inventory) 4.0. Multiple regression analysis was used to determine factors associated with poor PSOM, poor mRS, and lower HRQL.

    RESULTS: Seventy-six children were recruited. Majority have good mRS (72.4 %) and good PSOM (75 %). PedsQL total, physical health summary and psychosocial health summary mean scores were 74.2(SD 21.57), 74.2(SD 28.16) and 76.13(SD 18.66) respectively, which were significantly lower compared with healthy Malaysian children (p ≤ 0.001). Learning disability post-stroke was associated with poor PSOM and poor mRS; while cardiac surgery was associated with poor mRS. Learning disability post-stroke was associated with lower total, physical health summary and psychosocial health summary PedsQL scores. Poor mRS was associated with lower total PedsQL scores while poor PSOM was associated with lower total and physical health summary PedsQL.

    CONCLUSION: Although majority of Malaysian children with stroke had good long-term neurological and functional outcomes, they had lower HRQL compared to healthy Malaysian children. Optimizing care for cardiac surgery to reduce the risk of perioperative stroke may lead to improved neurological outcome. There is a need to address the issues of learning disability post-stroke and poor neurological outcome to reduce their impact on HRQL.

    MeSH terms: Adolescent; Child; Child, Preschool; Cross-Sectional Studies; Female; Humans; Malaysia/epidemiology; Male; Outcome Assessment (Health Care)
  6. Soltani A, Fidler DJ, Patel L, Voth K, Esbensen AJ
    Am J Intellect Dev Disabil, 2025 Mar 01;130(2):146-162.
    PMID: 39999868 DOI: 10.1352/1944-7558-130.2.146
    This study explored how caregiver-reported executive functioning domains, assessed by the BRIEF2 at baseline, predicted behavioral challenges reported by caregivers using the CBCL six months later. The sample included 94 youth with Down syndrome, aged 6 to 18 years. Results of hierarchical regression analyses revealed that, after controlling for the effect of IQ, working memory significantly predicted inattentive behaviors, inhibition significantly predicted rule-breaking behaviors, and both inhibition and emotional control significantly predicted aggressive and externalizing behaviors. After controlling for baseline behaviors, only working memory persisted as a significant predictor of inattentive behaviors measured six months later. The findings are discussed by referring to the relevant theories and research and providing clinical implications and recommendations for further studies.
    MeSH terms: Problem Behavior; Adolescent; Aggression/physiology; Child; Child Behavior/physiology; Female; Humans; Inhibition (Psychology)*; Longitudinal Studies; Male
  7. Zahid M, Rahman F, Chowdhury A, Rana SH, Ansaari S, Lim AK, et al.
    BMJ Open, 2025 Feb 25;15(2):e089007.
    PMID: 40000077 DOI: 10.1136/bmjopen-2024-089007
    INTRODUCTION: People with tuberculosis (TB) who continue to smoke are more likely to have poor health outcomes than those who quit. Established smoking cessation approaches such as mHealth may help patients with TB quit smoking. This paper summarises the methodology proposed to assess the effectiveness and cost-effectiveness of mTB-Tobacco (an mHealth intervention) in helping patients with TB stop smoking and have improved health outcomes.

    METHODS AND ANALYSIS: A two-arm, parallel, open-label, multicentre, cluster randomised, two-stage adaptive design trial is proposed to first evaluate the superiority of mTB-Tobacco, compared with usual care and then the non-inferiority of mTB-tobacco compared with face-to-face behaviour support. Study settings include TB treatment centres in Bangladesh and Pakistan. The study population includes adult patients, newly diagnosed (within 4 weeks) with pulmonary TB disease, daily smokers, willing to quit and have access to mobile phones. The primary outcome includes biochemically verified continuous smoking abstinence assessed at 6 months per Russell Standard. A generalised linear mixed-effects model will be used to assess the impact of mTB-Tobacco intervention on continuous outcomes, incorporating fixed effects for the intervention, random effects for clusters and relevant covariates. Cost-effectiveness analysis will be done to estimate the cost per quitter and cost per quality-adjusted life year gained, calculate the incremental cost-effectiveness ratios to establish the value for money for mTB-Tobacco.

    ETHICS AND DISSEMINATION: This trial will be conducted in compliance with International Council on Harmonisation - Good Clinical Practice guidelines and the Declaration of Helsinki. The study has been approved by the ethics committees of the University of Edinburgh Medical School Research Ethics Committee (EMREC) of UK, the Bangladesh Medical Research Council (BMRC) and the National Bioethics Committee (PMRC) of Pakistan. The results of this trial will be disseminated in peer-reviewed journals and presented in academic conferences.

    TRIAL REGISTRATION NUMBER: ISRCTN86971818 (https://doi.org/10.1186/ISRCTN86971818); pre-enrolment, submission date: 29 August 2023; registration date: 11 September 2023.

    MeSH terms: Adult; Bangladesh; Cost-Benefit Analysis*; Humans; Pakistan; Multicenter Studies as Topic; Randomized Controlled Trials as Topic; Telemedicine*
  8. Roslani AC, Uzoigwe AG, Rajandram R, Low WY
    World J Surg, 2025 Feb 25.
    PMID: 40000569 DOI: 10.1002/wjs.12516
    BACKGROUND: Women are significantly underrepresented in surgical specialties, particularly in Southeast Asia. The factors influencing this gender disparity remain poorly understood. This study aims to explore the motivations, challenges, and barriers faced by female medical doctors in pursuing surgical careers in Malaysia.

    METHODS: An exploratory qualitative study was conducted between May 2016 and November 2017, using semi-structured in-depth interviews (IDIs) and focus group discussions (FGDs) with male and female senior surgeons, medical officers, and surgical trainees. A coding tree was constructed and refined after initial rounds of data analysis. Thematic content analysis was performed using the NVivo 11 Pro (Windows) qualitative data analysis software.

    RESULTS: Ten IDIs and five FGDs (N = 34 participants) revealed three key themes: (A) influences on trainees' career choices, (B) challenges encountered during surgical training, and (C) trainee empowerment. Participants highlighted the demanding nature of surgical training, the lack of flexibility in work schedules, and the male-dominated work environment as significant barriers for women. Despite these challenges, supportive family structures and strong mentorship were found to be critical for the retention of women in surgery.

    CONCLUSION: Institutional support, mentorship opportunities, and culture change are essential for improving the representation and retention of female surgeons in Malaysia. Tailored policies that acknowledge the unique challenges faced by women in surgery could foster a more inclusive and supportive environment.

  9. Khazaal AQ, Ismaeel HM, Cheah PS, Nordin N
    Mol Neurobiol, 2025 Feb 25.
    PMID: 40000574 DOI: 10.1007/s12035-025-04778-9
    Traumatic brain injury (TBI) influences a considerable population globally. TBI notably impacts both fatalities and disabilities worldwide. The mortality related to TBI is a significant concern in public health, affecting persons across various age groups and demographic profiles. More research and preventative interventions are required to alleviate TBIs' effects and optimize patient outcomes. Stem cell (SC) treatment exhibits promise as a viable strategy for addressing TBI due to its capacity to possibly restore or regenerate the compromised cells within the central nervous system. Additionally, it can influence the inflammatory response and increase neurogenesis and neuroplasticity. Increasing evidence has shown that SC transplantation has the potential to enhance functional recovery and decrease the extent of lesions in animal models of TBI. Nevertheless, several hurdles and ambiguities persist in determining the most effective source, dosage, administration method, timing, and mechanism of action for SC treatment for TBI. Further investigation is required to prove the safety and effectiveness of SC treatment for TBI in human subjects. This review brings insight into the strategies for utilizing SCs as cellular therapy for TBI, mainly based on preclinical investigations and TBI-induced animal models. In addition, this study also addresses many elements related to cell transfusion in the context of TBI, including considerations of cell amount, method, and timing. Integrating biomaterials and genetically altering SCs as potential strategies to enhance therapeutic efficacy are also presented. We also describe the potential of SCs in treating TBI and evaluate the effectiveness of cellular therapy and its corresponding outcomes.
  10. Mahmud KA, Azman M, Muhammad R, Mat Baki M
    Sci Rep, 2025 Feb 25;15(1):6811.
    PMID: 40000673 DOI: 10.1038/s41598-025-86642-3
    Early intervention is the current paradigm shift in the management of recurrent laryngeal nerve (RLN) injury post thyroidectomy and parathyroidectomy. Thus, an integrated clinical pathway is needed to enable early detection of RLN injury. A prospective longitudinal study was conducted from 2015 until 2021 in a single tertiary centre. A clinical pathway was developed where routine perioperative laryngeal assessments were implemented for all patients who underwent thyroidectomy and parathyroidectomy. Following an RLN injury, early surgical intervention was performed for unilateral vocal fold paralysis (UVFP). Data on patient demographics, risk factors, timing of RLN injury detection and type of intervention received were recorded in a proforma and analysed. 397 patients were included, involving 660 nerves at risk. The incidences of permanent RLN injury following thyroidectomy and parathyroidectomy were 5% and 1.8% respectively. The usage of intraoperative neuromonitoring was the only significant factor that affected the RLN injury according to multivariate analysis. 15% of RLN injuries were detected intraoperatively and 98% within two days. 70% of patients with UVFP received intervention in less than two weeks. The integrated clinical pathway has improved the validity of RLN injury incidence. It allows early detection of RLN injury and facilitates immediate intervention.
    MeSH terms: Adult; Aged; Female; Humans; Longitudinal Studies; Male; Middle Aged; Postoperative Complications/etiology; Prospective Studies; Risk Factors; Thyroid Gland/surgery; Vocal Cord Paralysis/etiology; Incidence; Critical Pathways*
  11. Gangwar S, Devi R, Mat Isa NA
    Sci Rep, 2025 Feb 25;15(1):6693.
    PMID: 40000697 DOI: 10.1038/s41598-025-90876-6
    In medical imaging, low-contrast chest X-ray (CXR) images may fail to provide adequate information for accurate visual interpretation and disease diagnosis. Conventional contrast enhancement techniques, such as histogram equalization, often introduce intensity shifts and loss of fine details. This study presents an advanced Exposure Region-Based Modified Adaptive Histogram Equalization (ERBMAHE) method, further optimized using Particle Swarm Optimization (PSO) to enhance contrast, preserve brightness, and strengthen fine details. The ERBMAHE method segments CXR images into underexposed, well-exposed, and overexposed regions using the 9IEC algorithm. The well-exposed region is further divided, generating five histograms. Each region undergoes adaptive contrast enhancement via a novel weighted probability density function (PDF) and power-law transformation to ensure balanced enhancement across different exposure levels. The PSO algorithm is then employed to optimize power-law parameters, further refining contrast enhancement and illumination uniformity while maintaining the natural appearance of medical images. The PSO-ERBMAHE method was tested on 600 Kaggle CXR images and compared against six state-of-the-art techniques. It achieved a superior peak signal-to-noise ratio (PSNR = 31.10 dB), entropy (7.48), feature similarity index (FSIM = 0.98), tenengrad function (TEN = 0.19), quality-aware relative contrast measure (QRCM = 0.10), and contrast ratio, while maintaining a low absolute mean brightness error (AMBE = 0.10). The method effectively enhanced image contrast while preserving brightness and visual quality, as confirmed by medical expert evaluations. The proposed PSO-ERBMAHE method delivers high-quality contrast enhancement in medical imaging, ensuring better visibility of critical anatomical features. By strengthening fine details, maintaining mean brightness, and improving computational efficiency, this technique enhances disease examination and diagnosis, reducing misinterpretation risks and improving clinical decision-making.
    MeSH terms: Algorithms*; Contrast Media; Humans; Image Processing, Computer-Assisted/methods; Radiographic Image Enhancement/methods
  12. Niu C, Jiang Y, Li Y, Wang X, Zhao H, Cheng Z, et al.
    Sci Rep, 2025 Feb 25;15(1):6699.
    PMID: 40000716 DOI: 10.1038/s41598-025-91025-9
    BACKGROUND: Comorbidity of depression and anxiety is common among adolescents and can lead to adverse outcomes. However, there is limited understanding of the latent characteristics and mechanisms governing these disorders and their interactions. Moreover, few studies have examined the impacts of relevant risk and protective factors.

    METHODS: This cross-sectional study involved 1,719 students. Mplus 8.0 software was used to conduct latent profile analysis to explore the potential categories of depression and anxiety comorbidities. R4.3.2 software was used to explore the network of core depression and anxiety symptoms, bridge these disorders, and evaluate the effects of risk and protective factors.

    RESULTS: Three categories were established: "healthy" (57.8%), "mild depression-mild anxiety" (36.6%), and "moderately severe depression-moderate anxiety" (5.6%). "Depressed mood", "nervousness", and "difficulty relaxing" were core symptoms in both the depression-anxiety comorbidity network and the network of risk and protective factors. Stress perception and neuroticism serve as bridging nodes connecting some symptoms of depression and anxiety and are thus considered the most prominent risk factors.

    CONCLUSIONS: According to the core and bridging symptoms identified in this study, targeted intervention and treatment can be provided to groups with comorbid depression and anxiety, thereby reducing the risk of these comorbidities in adolescents.

    MeSH terms: Adolescent; Anxiety Disorders/epidemiology; Anxiety Disorders/psychology; Cross-Sectional Studies; Female; Humans; Male; Risk Factors; Universities; Comorbidity; Young Adult; Protective Factors*
  13. Wagstaff D, Amuasi J, Arfin S, Aryal D, Nor MBM, Bonney J, et al.
    Implement Sci, 2025 Feb 25;20(1):12.
    PMID: 40001051 DOI: 10.1186/s13012-024-01413-4
    BACKGROUND: Approximately half of all antimicrobial prescriptions in intensive care units (ICUs) may be inappropriate, including those prescribed when not needed, in unnecessary combinations or for longer durations than needed. Inappropriate prescribing is costly, exposes patients to unnecessary side-effects and drives population-level antimicrobial resistance, the prevalence and consequences of which are greatest in low- and middle-income countries. However, the implementation of interventions to improve the appropriateness of antimicrobial prescribing has been variable and requires further study.

    METHODS: We propose a type III hybrid implementation/effectiveness interventional cohort trial in 35 ICUs in up to 11 low- and middle- income countries. The study intervention is a structured review of antimicrobial prescriptions as recommended by the World Health Organisation. Strategies to support stakeholder-led implementation include development of local protocols, registry-enabled audit and feedback, and education. Evaluation of implementation, and the determinants of its success, is informed by the RE-AIM framework and the Consolidated Framework for Implementation Research respectively. The primary outcome is a composite measure of fidelity, reach and adoption. Secondary outcomes describe the effectiveness of the intervention on improving antimicrobial prescribing. Qualitative interviews will assess relevant implementation acceptability, adaptations and maintenance. A baseline survey will investigate ICU-level antimicrobial stewardship structures and processes.

    DISCUSSION: This study addresses global policy priorities by supporting implementation research of antimicrobial stewardship, and strengthening associated healthcare professional competencies. It does this in a setting where improvement is sorely needed: low- and middle- income country ICUs. The study will also describe the influence of pre-existing antimicrobial stewardship structures and processes on implementation and improve understanding about the efficacy of strategies to overcome barriers to implementation in these settings.

    TRIAL REGISTRATION: This study protocol has been registered with ClinicalTrials.gov (ref NCT06666738) on 31 Oct 2004. https://clinicaltrials.gov/study/NCT06666738?term=NCT06666738&rank=1 .

    MeSH terms: Anti-Bacterial Agents/administration & dosage; Anti-Bacterial Agents/therapeutic use; Humans; Inappropriate Prescribing/prevention & control
  14. Liu X, Goh HH, Xie H, He T, Yew WK, Zhang D, et al.
    Sensors (Basel), 2025 Feb 09;25(4).
    PMID: 40006264 DOI: 10.3390/s25041035
    With the widespread deployment of photovoltaic (PV) power stations, timely identification and rectification of module defects are crucial for extending service life and preserving efficiency. PV arrays, subjected to severe outside circumstances, are prone to defects exacerbated by dust accumulation, potentially leading to complex compound faults. The resemblance between individual and compound faults sometimes leads to misclassification. To address this challenge, this paper presents a novel hybrid deep learning model, ResGRU, which integrates a residual network (ResNet) with bidirectional gated recurrent units (BiGRU) to improve fault diagnostic accuracy. Additionally, a Squeeze-and-Excitation (SE) module is incorporated to enhance relevant features while suppressing irrelevant ones, hence improving performance. To further optimize inter-class separability and intra-class compactness, a center loss function is employed as an auxiliary loss to enhance the model's discriminative capacity. This proposed method facilitates the automated extraction of fault features from I-V curves and accurate diagnosis of individual faults, partial shading scenarios, and compound faults under varying levels of dust accumulation, hence aiding in the formulation of efficient cleaning schedules. Experimental findings indicate that the suggested model achieves 99.94% accuracy on pristine data and 98.21% accuracy on noisy data, markedly surpassing established techniques such as artificial neural networks (ANN), ResNet, random forests (RF), multi-scale SE-ResNet, and other ResNet-based approaches. Thus, the model offers a reliable solution for accurate PV array fault diagnosis.
  15. Rockall AG, Allen B, Brown MJ, El-Diasty T, Fletcher J, Gerson RF, et al.
    Can Assoc Radiol J, 2025 Feb 25.
    PMID: 40007055 DOI: 10.1177/08465371251321390
    The urgency for climate action is recognised by international government and healthcare organisations, including the United Nations (UN) and World Health Organisation (WHO). Climate change, biodiversity loss, and pollution negatively impact all life on earth. All populations are impacted but not equally; the most vulnerable are at highest risk, an inequity further exacerbated by differences in access to healthcare globally.The delivery of healthcare exacerbates the planetary health crisis through greenhouse gas emissions, largely due to combustion of fossil fuels for medical equipment production and operation, creation of medical and non-medical waste, and contamination of water supplies.As representatives of radiology societies from across the globe who work closely with industry, and both governmental and non-governmental leaders in multiple capacities, we advocate together for urgent, impactful, and measurable changes to the way we deliver care by further engaging our members, policymakers, industry partners, and our patients. Simultaneous challenges including global health disparities, resource allocation, and access to care must inform these efforts.Climate literacy should be increasingly added to radiology training programmes. More research is required to understand and measure the environmental impact of radiological services and inform mitigation, adaptation and monitoring efforts. Deeper collaboration with industry partners is necessary to support innovations in the supply chain, energy utilization, and circular economy. Many solutions have been proposed and are already available, but we must understand and address barriers to implementation of current and future sustainable innovations. Finally, there is a compelling need to partner with patients, to ensure that trust in the excellence of clinical care is maintained during the transition to sustainable radiology.By fostering a culture of global cooperation and rapid sharing of solutions amongst the broader imaging community, we can transform radiological practice to mitigate its environmental impact, adapt and develop resilience to current and future climate and environmental threats, and simultaneously improve access to care.
  16. Al Mashud MA, Devnath R, Anzuman M, Sumona MI, Hossain MS, Kumer A, et al.
    Med Chem, 2025;21(2):122-143.
    PMID: 40007184 DOI: 10.2174/0115734064315601240628115330
    BACKGROUND: Head and neck cancer (HNC) is on the rise worldwide, endangering lives and straining healthcare systems in both developing and developed nations. Despite the availability of a number of therapy options, the success rate for treating and controlling head and neck cancer remains dismal. To combat the aggressiveness and drug resistance of Epstein-Barr virus (EBV)-positive Head-Neck cancer cells, this study looks into the potential of Euphorbia tirucalli (pencil cactus) leaf extract.

    OBJECTIVES: The goal of this study is to identify prospective therapeutic candidates from the extract of Euphorbia tirucalli (pencil cactus) leaves, which have the ability to inhibit Epstein-Barr virus (EBV)-positive Head- Neck cancer cells.

    MATERIALS AND METHODS: The thirteen most important chemical components found in Euphorbia tirucalli (pencil cactus) leaves were analyzed by means of molecular modeling techniques such as Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET), Quantum Mechanics (QM) calculation, molecular docking, and molecular dynamics (MD) simulations. Using the Prediction of Activity Spectra for Substances (PASS) model, we assess the potency of these compounds. Important molecular properties such as chemical potential, electronegativity, hardness, and softness can be determined with the use of quantum chemical calculations employing HOMO-LUMO analysis. These drugs' safety and toxicological characteristics are better understood to assessments of their pharmacokinetics and ADMET. Finally, molecular dynamics simulations are employed to verify binding interactions and assess the stability of docked complexes.

    RESULTS: The molecular docking analysis identifies ligands (01), (02), and (10) as strong competitors, with strong binding affinity for the Epstein-Barr virus (EBV)-positive Head-Neck cancer cell line. Not only do the ligands (01), (02), and (10) match the criteria for a potential new inhibitor of head-neck cancer, but they also outperform the present FDA-approved treatment.

    CONCLUSION: Taraxerol, euphol, and ephorginol, three phytochemicals isolated from the leaves of the Euphorbia tirucalli (pencil cactus), have been identified as effective anti-cancer agents with the potential to serve as a foundation for novel head-neck cancer therapies, particularly those targeting the Epstein-Barr virus (EBV)-overexpressing subtype of this disease. An effective, individualized treatment plan for head-neck cancer is a long way off, but this study is a major step forward that could change the lives of patients and reduce the global burden of this disease.

    MeSH terms: Antineoplastic Agents, Phytogenic/pharmacology; Antineoplastic Agents, Phytogenic/chemistry; Humans; Plant Leaves/chemistry; Molecular Dynamics Simulation*; Molecular Docking Simulation*
  17. Hiyama S, Rao RP, Xie F, Takahashi T, Takeshita K, Pandit H
    J Orthop, 2025 Oct;68:62-67.
    PMID: 40007522 DOI: 10.1016/j.jor.2025.01.037
    INTRODUCTION: This study aimed to evaluate the accuracy and reliability of posterior tibial slope (PTS) measurements obtained from radiographs and CT. PTS, particularly its differences in medial and lateral measurements, plays a crucial role in knee alignment, and inconsistencies in measurement techniques across different imaging modalities have raised concerns about accuracy.

    MATERIALS AND METHODS: This retrospective study included data from 98 Japanese patients legs and 324 Chinese patients legs. PTS was measured on long-leg and short-leg radiographs and CT. Two independent surgeons assessed the measurements, and the inter- and intra-observer reliability were evaluated. The primary outcome was the comparison of medial and lateral PTS measurements, while the secondary aim was to assess the impact of tibial length on measurement accuracy.

    DISCUSSION: The study revealed that lateral PTS was consistently smaller than medial PTS, with an average difference of 1.2°-1.9°. Shorter leg radiographs tend to underestimate PTS compared to full-length tibial measurements. The correlation between measurements from short and long leg radiographs showed that PTS measurements were more prone to errors, which may be due to anatomical factors such as tibial bowing. Inter- and intra-observer reliability were good for medial PTS but poor to moderate for lateral PTS, especially when using radiographs.

    CONCLUSION: For accurate measurement of both medial and lateral PTS, surgeons should consider using additional examination methods such as CT and MRI. If PTS is to be measured on radiographs, the focus should be on the medial PTS, as it tends to provide more reliable results.

  18. Abu Mhanna HY, Omar AF, Radzi YM, Oglat AA, Akhdar HF, Al Ewaidat H, et al.
    Heliyon, 2025 Feb 15;11(3):e42464.
    PMID: 40007791 DOI: 10.1016/j.heliyon.2025.e42464
    The utilization of functional magnetic resonance imaging (fMRI) is critical in the preoperative planning phase of brain tumor surgery because it allows for a delicate balance between maximizing tumor resection and maintaining brain function. A decade of fMRI development was examined in this study, with a particular emphasis on its use in diagnosing and assessing the efficacy of brain cancer treatments. We examined the foundational principles, practical implementations, and verification of fMRI via direct brain stimulation, with particular emphasis on its capacity to detect cerebral regions affected by tumors that are eloquent in nature. Recently, fMRI has undergone significant progress, allowing for its integration into clinical workflows to facilitate precise mapping of brain functions. This extensive analysis encompasses the scrutiny of resting-state fMRI (Rs-fMRI) as a method of capturing functional connectivity, thereby providing significant insights into the management of patients with brain tumors. Methodological advancements, clinical applicability, and future orientations of fMRI are highlighted in this review, which emphasizes the substantial influence of the technique on neurosurgical planning and patient outcomes.
  19. Amir A
    Cureus, 2025 Feb;17(2):e79622.
    PMID: 40008107 DOI: 10.7759/cureus.79622
    Anorectal malformations (ARMs) is a congenital abnormality that is commonly seen in newborns without a normal or ectopic anal opening. H-type fistula is a rare subtype and is commonly diagnosed in females after a history of passing stool from the vagina which may be the first and only sign of an underlying ARM which necessitates further diagnostic modalities, treatment, and follow-up. These children may have a normal anal opening. We report on a rare case of rectovaginal fistula presenting with a left labial abscess.
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