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  • Open Access

    ARTICLE

    Communication Barriers, Emotional Distress and Mental Health Promotion in Cancer Care: Insights from Rural China

    Su Li1, Nooreen Noordin2, Dan Wang3,*

    International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1797-1812, 2025, DOI:10.32604/ijmhp.2025.072301 - 28 November 2025

    Abstract Background: Communication barriers are a critical yet underexplored determinant of psychological well-being in oncology care, particularly among rural Chinese patients treated in urban hospitals. This study examined how Mandarin proficiency influences emotional distress and identified implications for mental health promotion. Methods: A sequential mixed-methods design was adopted. Quantitative data were collected from 180 rural cancer patients using the Putonghua Proficiency Test (PSC), the Hospital Anxiety and Depression Scale (HADS), and the Distress Thermometer (DT). Multiple linear regressions estimated covariate-adjusted associations between Mandarin proficiency and distress outcomes, controlling for demographic and clinical factors. Semi-structured interviews with 20… More >

  • Open Access

    ARTICLE

    An Investigation into the Association between Fear of Recurrence, Spousal Emotional Support, and Self-Disclosure in Patients with Cerebral Glioma

    Wei Zhu, Yan Song, Di Chen, Huimin Chen, Dingding Zhang, Lu Chen*

    International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1681-1694, 2025, DOI:10.32604/ijmhp.2025.070461 - 28 November 2025

    Abstract Objectives: Fear of recurrence (FoR) is a common psychological burden in cerebral glioma patients. Spousal emotional support and self-disclosure may help mitigate FoR, yet their roles in this population are unclear. This study aimed to explore the association between FoR, spousal emotional support, and self-disclosure in patients with cerebral glioma. Methods: Patients with cerebral glioma were assessed using the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Perceived Social Support Scale (PSSS), Distress Disclosure Index (DDI), and Acceptance and Action Questionnaire (AAQ). Pearson correlation analysis was conducted to examine the relationships among the scale scores, while multiple linear… More >

  • Open Access

    ARTICLE

    A Meta-Learning Model for Mortality Prediction in Patients with Chronic Cardiovascular Disease

    Sam Rahimzadeh Holagh1, Bugao Xu1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 2383-2399, 2025, DOI:10.32604/cmes.2025.072259 - 26 November 2025

    Abstract Cardiovascular diseases (CVD) remain a leading cause of mortality worldwide, highlighting the need for precise risk assessment tools to support clinical decision-making. This study introduces a meta-learning model for predicting mortality risk in patients with CVD, classifying them into high-risk and low-risk groups. Data were collected from 868 patients at Tabriz Heart Hospital (THH) in Iran, along with two open-access datasets—the Cleveland Heart Disease (CHD) and Faisalabad Institute of Cardiology (FIC) datasets. Data preprocessing involved class balancing via the Synthetic Minority Over-Sampling Technique (SMOTE). Each dataset was then split into training and test sets, and… More >

  • Open Access

    REVIEW

    Is the Barthel index a valid tool for patient selection before urological surgery? A systematic review

    Andrea Panunzio1, Rossella Orlando1, Federico Greco2,3, Giovanni Mazzucato4, Floriana Luigina Rizzo1, Serena Domenica D’Elia1, Antonio Benito Porcaro5, Alessandro Antonelli5, Alessandro Tafuri1,6,*

    Canadian Journal of Urology, Vol.32, No.5, pp. 375-384, 2025, DOI:10.32604/cju.2025.066140 - 30 October 2025

    Abstract Background: The Barthel Index (BI) measures the level of patient independence in activities of daily living. This review aims to summarize current evidence on the use of the BI in urology, highlighting its potential as a tool for assessing patients prior to surgery. Materials and methods: A comprehensive search of PubMed, Scopus, and Web of Science databases was conducted for studies evaluating the BI in patients undergoing urologic surgery, following Systematic Review and Meta-analyses (PRISMA) guidelines. The BI was investigated both as a descriptor of baseline or postoperative health status and a prognostic indicator. A qualitative… More >

  • Open Access

    ARTICLE

    Spermatocelectomy with and without epididymectomy: retrospective experience at a single institution in patients not interested in fertility preservation

    Ellen M. Cahill, Ankur U. Choksi, Sharath S. Reddy, Dylan C. H. Heckscher, Katherine Rotker, Stanton C. Honig*

    Canadian Journal of Urology, Vol.32, No.5, pp. 521-527, 2025, DOI:10.32604/cju.2025.064559 - 30 October 2025

    Abstract Introduction: Spermatocelectomy is a surgical procedure performed for symptomatic spermatoceles. Published data is limited with respect to recurrence rates, complication rates, and patient satisfaction. The core concept of spermatocelectomy is to identify the communication between epididymis and spermatocele, which can be difficult and may result in spermatocele recurrence. We postulate that a combined spermatocelectomy with epididymectomy will yield a lower rate of recurrence. Methods: A retrospective chart review of patients with symptomatic spermatoceles undergoing spermatocelectomy with or without epididymectomy at our institution was performed. Patients were excluded from epididymectomy if they were interested in fertility… More >

  • Open Access

    ARTICLE

    SARS-CoV-2 Vaccine-Induced Seroconversion and Immune Correlates in Patients with Hematological Malignancies. A Real World Study

    Norbert Nass1,2,#, Mohamad-Kamal Yaakoub1,#, Alexandra-Victorita Simion3, Hartmut Kroll4, Sabine Westphal3, Judith Pannier1, Gerhard Behre1,*

    Oncology Research, Vol.33, No.10, pp. 2923-2935, 2025, DOI:10.32604/or.2025.067561 - 26 September 2025

    Abstract Background: Patients with hemato-oncological malignancies may respond insufficiently to vaccination, especially in terms of antibody titer. The antibody response depends on the type of malignancy as well as the type and timing of treatment. We intended to evaluate this using real-world data from patients of our regional hospital. This study also considers the role of immune status, including T-cell activation markers, in predicting vaccination success. Methods: Seventeen patients of our hospital having a hematological malignancy were included in this study, including myeloma, lymphoma, as well as acute myeloid leukemia (AML) and chronic lymphoid leukemia (CLL).… More >

  • Open Access

    ARTICLE

    NLR Risk Score for Predicting Patient Prognosis in Hepatocellular Carcinoma and Identification of Oncogenic Role of NLRP5 in Hepatocellular Carcinoma

    Mingyang Tang1,2,#, Shengfu He3,#, Bao Meng1,2, Qingyue Zhang1,2, Chengcheng Li1,2, Yating Sun1,2, Weijie Sun1,2, Cui Wang4, Qingxiang Kong5, Yanyan Liu1,2, Lifen Hu1,2, Yufeng Gao1,2, Qinxiu Xie1,2, Jiabin Li1,2,*, Ting Wu1,2,*

    Oncology Research, Vol.33, No.10, pp. 3077-3100, 2025, DOI:10.32604/or.2025.067065 - 26 September 2025

    Abstract Background: Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths. The Nod-like receptor (NLR) family is involved in innate immunity and tumor progression, but its role in HCC remains unclear. This study aimed to evaluate the prognostic value and biological function of NLR genes in HCC. Methods: Transcriptomic and clinical data from The Cancer Genome Atlas were analyzed using nonnegative matrix factorization (NMF) to classify HCC into molecular subtypes. Differentially expressed genes were used to build an NLR-based prognostic model (NLR_score) through univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox… More > Graphic Abstract

    NLR Risk Score for Predicting Patient Prognosis in Hepatocellular Carcinoma and Identification of Oncogenic Role of NLRP5 in Hepatocellular Carcinoma

  • Open Access

    REVIEW

    Deep Learning in Biomedical Image and Signal Processing: A Survey

    Batyrkhan Omarov1,2,3,4,*

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 2195-2253, 2025, DOI:10.32604/cmc.2025.064799 - 23 September 2025

    Abstract Deep learning now underpins many state-of-the-art systems for biomedical image and signal processing, enabling automated lesion detection, physiological monitoring, and therapy planning with accuracy that rivals expert performance. This survey reviews the principal model families as convolutional, recurrent, generative, reinforcement, autoencoder, and transfer-learning approaches as emphasising how their architectural choices map to tasks such as segmentation, classification, reconstruction, and anomaly detection. A dedicated treatment of multimodal fusion networks shows how imaging features can be integrated with genomic profiles and clinical records to yield more robust, context-aware predictions. To support clinical adoption, we outline post-hoc explainability More >

  • Open Access

    ARTICLE

    Long-Term Follow-Up of Percutaneous Stent Implantation for Residual Pulmonary Artery Stenosis in Pediatric Patients after Surgical Repair of Complicated Congenital Heart Diseases

    Yifan Li1,#, Xu Huang2,#, Bingyu Ma3, Ling Sun1, Shushui Wang1, Zhiwei Zhang1, Yumei Xie1,*

    Congenital Heart Disease, Vol.20, No.4, pp. 463-475, 2025, DOI:10.32604/chd.2025.068286 - 18 September 2025

    Abstract Objective: The aim of the present study was to investigate long-term efficacy and safety of percutaneous stent implantation for residual pulmonary artery stenosis (PAS) in pediatric patients after surgical repair of complicated congenital heart diseases (CHDs). Methods: All pediatric patients diagnosed with residual PAS after surgical repair of complicated CHDs between 1996 and 2020 were retrospectively enrolled in the study. Results: A total of 41 patients (30 males, 11 females; median age 5.0 years, median weight 17 kg) were followed-up for a median of 7.1 years. Follow-up echocardiography results demonstrated that the target vessel diameter increased from… More >

  • Open Access

    ARTICLE

    Computational Modeling to Predict Conservative Treatment Outcome for Patients with Plaque Erosion: An OCT-Based Patient-Specific FSI Modeling Study

    Yanwen Zhu1,#, Chen Zhao2,#, Yishuo Xu2, Zheyang Wu3, Akiko Maehara4, Liang Wang1, Dirui Zhang2, Ming Zeng2, Rui Lv5, Xiaoya Guo6, Mengde Huang1, Minglong Chen7, Gary S. Mintz4, Dalin Tang1,3,*, Haibo Jia2, Bo Yu2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1249-1270, 2025, DOI:10.32604/cmes.2025.067039 - 31 August 2025

    Abstract Image-based computational models have been used for vulnerable plaque progression and rupture predictions, and good results have been reported. However, mechanisms and predictions for plaque erosion are under-investigated. Patient-specific fluid-structure interaction (FSI) models based on optical coherence tomography (OCT) follow-up data from patients with plaque erosion and who received conservative antithrombotic treatment (using medication, no stenting) to identify risk factors that could be used to predict the treatment outcome. OCT and angiography data were obtained from 10 patients who received conservative antithrombotic treatment. Five participants had worse outcomes (WOG, stenosis severity ≥ 70% at one-year… More > Graphic Abstract

    Computational Modeling to Predict Conservative Treatment Outcome for Patients with Plaque Erosion: An OCT-Based Patient-Specific FSI Modeling Study

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