Factors influencing clinical decision-making and health-related quality of life changes in colorectal cancer patients receiving targeted therapy: a multicenter study in China

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 7, 2025

The aim of this paper is to assess the current clinical application targeted therapy in colorectal cancer (CRC), identify factors influencing patients' acceptance therapy, and evaluate its impact on health-related quality life (HRQoL). This study was based a national multi-center survey. From March 2020 2021, involved 19 tertiary hospitals across seven regions China through multi-stage stratified sampling. CRC patients who underwent genetic testing participated. Data demographic characteristics, disease knowledge, medical service utilization, expenditure, HRQoL before after treatment were collected face-to-face interviews. Logistic regression identified affecting acceptance, while changes pre-and post-treatment compared by Mann-Whitney U test. Among 1,468 eligible patients, 79.7% aged 50+, 60% male, 31.5% retired. Secondary education most common level (30.3%). A total 62.7% received therapy. Multivariable analysis showed that metastasis at diagnosis, out-of-pocket expenses, reimbursement ratio positively associated with (P < 0.05), initial diagnosis stage, region, negatively 0.05). Post-therapy, declined significantly 0.001), especially fatigue financial burden. Our revealed multiple found may adversely affect HRQoL. These findings emphasize necessity implementing more comprehensive patient management strategies optimize improve life.

Language: Английский

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Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer

International Journal of Imaging Systems and Technology, Journal Year: 2025, Volume and Issue: 35(2)

Published: March 1, 2025

ABSTRACT Non‐Small Cell Lung Cancer (NSCLC) has the highest cancer‐related mortality rate worldwide. While biopsy‐based diagnosis is critical for prognosis and treatment, intricate anatomical features in Whole Slide Images (WSIs) make manual classification challenging pathologists. Current deep learning models have been developed to aid automatic of NSCLC, but many rely on extensive annotations lack efficient multi‐scale feature extraction, limiting their ability capture diverse patterns WSIs. There a need explore multipath, Convolutional Neural Networks (CNN) that can effectively these This study proposes novel model, Multi‐scale, Dual‐Path CNN (MDP‐CNN), designed automatically classify NSCLC subtypes by capturing heterogeneous The model was trained two independent datasets, LC25000 Genome Atlas (TCGA), demonstrating notable improvements performance metrics, achieving accuracy scores 0.981 0.958, Area Under Curve (AUC) 0.978 0.995, kappa 0.957 0.903 TCGA respectively. Extensive analyses, including ablation studies, interpretation plots, cross‐dataset analysis, were conducted demonstrate efficacy proposed model. Multi‐scale processing improved model's precision classifying lung cancer variations histopathological across different resolutions. outperformed state‐of‐the‐art approximately 8% 3% AUC, effectiveness MDP CNNs improving WSI‐based diagnostics supporting automated clinical decisions.

Language: Английский

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From Diagnosis to Survivorship: The Role of Social Determinants in Cancer Care

Cancers, Journal Year: 2025, Volume and Issue: 17(7), P. 1067 - 1067

Published: March 22, 2025

Social determinants of health (SDOH) profoundly influence cancer outcomes. Disparities in these areas contribute to delayed diagnoses, limited access advanced treatments, and poorer survival rates, disproportionately affecting marginalized populations. While advancements care have improved survival, benefits remain unevenly distributed. This review examines the impact SDOH on across multiple domains. It highlights ways which structural barriers exacerbate disparities prevention, diagnosis, treatment. Evidence-based interventions, including Medicaid expansion, culturally tailored patient navigation programs, increased diversity clinical trials, telemedicine integration screening into oncology workflows-offer promising strategies for addressing inequities. By integrating practice policy, healthcare system can foster a more just inclusive future treatment survivorship.

Language: Английский

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Spatiotemporal Dynamics and Driving Factors of Urban Green Space in Texas (2001–2021): A Multi-Source Geospatial Analysis

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1166 - 1166

Published: April 2, 2025

This study investigates the changes in urban green space coverage across 254 counties of varying types Texas from 2001 to 2021, aiming explore spatial patterns transformation and its socioeconomic driving factors. By analyzing Landsat remote sensing data building type datasets, combined with land use transition matrices, GIS statistics tools, regression analysis population GDP data, this comprehensively examines change different types. The results indicated significant differences cities: (1) Urban areas higher populations rankings, as well their surrounding regions, show a more pronounced trend converting into built-up areas, particularly expansion medium low-density areas. (2) In contrast, smaller cities rural occur at slower pace. Further reveals that spaces is primarily driven by residential development, about 39% high-density over 65% being replaced land. (3) indicate growth are main factors for changes, explaining up 86% 84% respectively. These findings provide important theoretical support practical guidelines conservation, planning, sustainable development policies.

Language: Английский

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Survivorship Care for People Affected by Advanced or Metastatic Cancer: Building on the Recent Multinational Association of Supportive Care in Cancer-ASCO Standards and Practice Recommendations

American Society of Clinical Oncology Educational Book, Journal Year: 2025, Volume and Issue: 45(3)

Published: April 14, 2025

Although there is a growing number of people living with advanced or metastatic cancer, primarily because more effective treatment regimens, are limited estimates the actual cancer. Many will have treatable but not curable cancers, may survival measured in years, and periods on off therapy. People disease, as well their families caregivers, experience significant unmet needs, overlapping yet distinct to those potentially Recently, Multinational Association Supportive Care Cancer ASCO developed standards practice recommendations relevant delivery quality survivorship care for The included seven domains: (1) person-centered care; (2) coordinated integrated (3) evidence-based comprehensive (4) evaluated communicated (5) accessible equitable (6) sustainable resourced (7) research data-driven care. Immediate priorities improve clinical include focusing discussions regarding prognosis goals routinely assessing physical, psychological, social needs referral appropriate supportive services; creating blended models care, incorporating elements palliative services. Additional areas focus advocacy policy; system design health delivery; defining, measuring, managing quality; addressing inequity; specifically focused these cancer populations.

Language: Английский

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Contemporary neighborhood redlining and racial mortgage lending bias and disparities in prostate cancer survival

Cancer, Journal Year: 2025, Volume and Issue: 131(8)

Published: April 15, 2025

Abstract Background Mortgage lending bias is a critical driver of residential segregation, and may contribute to disparities in cancer survival. This study investigated the association between contemporary redlining racial prostate Methods cohort used Surveillance, Epidemiology, End Results–Medicare database that included 34,163 Black White men diagnosed with 2010 2013. Home Disclosure Act data were calculate census‐tract index (the systematic denial mortgages based on property location) mortgage application for applicant compared local area). Both indices assessed continuously categorically (low, moderate, or high). Multivariable‐adjusted Cox models estimate hazard ratios (HRs) cancer–specific all‐cause mortality. Results Overall, as increased, experienced poorer Compared residing low‐redlined neighborhoods, those high‐redlined neighborhoods had an increased risk mortality (HR, 1.21; 95% confidence interval [CI], 1.03–1.42) 1.25; CI, 1.17–1.34). Similar results observed race‐stratified analysis among men. Among men, low high 1.11; 1.03–1.21). Conclusions Contemporary was associated survival overall population. However, elevated only Findings suggest discrimination

Language: Английский

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Adsorption of thiotepa anticancer by the assistance of aluminum nitride nanocage scaffolds: A computational perspective on drug delivery applications

Colloids and Surfaces A Physicochemical and Engineering Aspects, Journal Year: 2023, Volume and Issue: 666, P. 131276 - 131276

Published: March 12, 2023

Language: Английский

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Factors contributing to differences in cervical cancer screening in rural and urban community health centers

Cancer, Journal Year: 2024, Volume and Issue: 130(13), P. 2315 - 2324

Published: March 25, 2024

Abstract Introduction Community health centers (CHCs) provide historically marginalized populations with primary care, including cancer screening. Previous studies have reported that women living in rural areas are less likely to be up date cervical screening than urban areas. However, little is known about rural–urban differences CHCs and the contributing factors, whether such changed during COVID‐19 pandemic. Methods Using 8‐year pooled Uniform Data System (2014‐2021) data Oaxaca‐Blinder decomposition, extent which CHC‐ catchment area–level characteristics explained rural‐urban up‐to‐date was estimated. Results Up‐to‐date lower (38.2% vs 43.0% 2014–2019), this difference increased pandemic (43.5% 49.0%). The 2014–2019 mostly by CHC‐level proportions of patients limited English proficiency (55.9%) or income below poverty level (12.3%) females aged 21 64 years (9.8%), area–level’s unemployment (3.4%) care physician density (3.2%). Medicaid (–48.5%) no insurance (–19.6%) counterbalanced between CHCs. contribution these factors generally 2020–2021. Conclusions Rural–urban were multiple characteristics. findings call for tailored interventions, as providing resources language services, improve utilization among uninsured, Medicaid,

Language: Английский

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Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning

Journal of Electrical and Computer Engineering, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Accurate lung cancer detection is vital for timely diagnosis and treatment. This study evaluates the performance of six convolutional neural network (CNN) architectures, ResNet‐50, VGG‐16, ResNet‐101, VGG‐19, DenseNet‐201, EfficientNet‐B4, using LIDC‐IDRI dataset. Models were assessed both in their base forms with transfer learning. The dataset consisted 460 × 3 pixel images categorized into squamous cell carcinoma (SCC), normal benign, large (LCC), adenocarcinoma (ADC). Performance metrics computed, including accuracy (99.47% custom CNN), precision (99.50%), recall (98.37%), AUC (99.98%), F1‐score (98.98%) during training. However, overfitting was observed validation phases. Transfer learning models showed better generalization, DenseNet‐201 achieving a top 96.88% EfficientNet‐B4 96.53%. Hyperparameter tuning improved models’ generalization capabilities, maintaining high while reducing overfitting. highlights effectiveness learning, particularly enhancing automated systems. Future work will focus on expanding datasets exploring additional augmentation techniques to further refine model clinical settings.

Language: Английский

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Ethnic disparities in breast cancer patterns in Brazil: examining findings from population-based registries

Breast Cancer Research and Treatment, Journal Year: 2024, Volume and Issue: 206(2), P. 359 - 367

Published: April 21, 2024

Language: Английский

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