UNASSIGNED: Breast cancer is the second most prevalent disease among women in India and one of the most dangerous and lethal. Chemotherapy-treated breast cancer patients may have perceived stress, which is defined as emotions of mental or physical exhaustion that make them feel angry or anxious. Mindfulness-based intervention (MBI) gives some ideas in line with the conventional mindfulness technique.
UNASSIGNED: (i) To assess the effect of MBI on perceived stress among breast cancer patients undergoing chemotherapy. (ii) To determine the association between perceived stress with selected demographic variables among breast cancer patients undergoing chemotherapy.
UNASSIGNED: The current quantitative pre- and postexperimental study was carried out in two oncology departments of selected cancer hospitals, Bhubaneswar. A total number of 40 breast cancer patients of perceived stress receiving chemotherapy and data were gathered by using a self-structured socio-demographic proforma and a structured Perceived Stress Scale 10. The experimental group received MBI, and a posttest was conducted on the 17th day on both the groups after 10 days of the termination of intervention. This MBI was provided to breast cancer patients for five sessions over five days continuously, each session for 45 min with mindfulness breathing exercises, progressive muscle relaxation techniques, practising meditation, and guided imagery technique.
UNASSIGNED: The study findings illustrated that reduction of perceived stress among female breast cancer patients undergoing chemotherapy with (t = 2.2463) (P = 0.0306) at the P < 0.05; furthermore, there is one socio-demographic variable which had association with perceived stress that is history of psychiatric illness (χ 2 = 14.1176) (P = 0.0009) and others had no association with perceived stress.
UNASSIGNED: MBI was an effective therapy for reducing the perceived stress of breast cancer patients undergoing chemotherapy.

UNASSIGNED: Breast cancer is a prevalent and emotionally challenging condition that profoundly affects women worldwide. Effectively managing the mental and emotional dimensions of this disease is crucial for the holistic well-being of patients. Psychological capital (PsyCap) has emerged as a pivotal psychological construct with the potential to effectively address these challenges. This study aims to explore the influential role of PsyCap and its constructs on the subjective well-being (SWB) of Iranian breast cancer patients.
UNASSIGNED: A total of 173 breast cancer patients participated in this study, selected through a random sampling approach. Face-to-face interview data on socio-demographics, PsyCap, and SWB were collected using a structured questionnaire. The analytical procedures encompassed independent sample t-tests, ANOVA tests, Pearson correlation tests, and stepwise multiple regression.
UNASSIGNED: The findings revealed that the majority of participants fell within the 41-50 age group (38.7%), with an average age of 46.50 ± 11.76 years, and 35.8% had tumor growth in the upper left lobe. The average PsyCap score was 107.93 ± 1.52 (out of a possible score of 144), whereas SWB scored 196.51 ± 1.90 (out of 291). Notably, PsyCap showed a positive correlation with SWB (r = 0.119), accounting for approximately 8% of the variance in SWB. The final regression model showed the substantial predictive roles of PsyCap (1.667), self-efficacy (-3.692), age (-2.977), and education (-3.939) in shaping SWB.
UNASSIGNED: Focusing on understanding and addressing factors like PsyCap, self-efficacy, and educational support could improve SWB, offering a potential avenue for comprehensive and individualized psychosocial care for women with breast cancer.

OBJECTIVE: Social participation is vital for the health maintenance of general populations as well as the functional recovery and social ties of clinical patients. To develop a Social Participation Questionnaire (SPQ) to evaluate participation in social activities in an individual\'s life and to test the reliability and validity of the SPQ.
METHODS: Cross-sectional study.
METHODS: Community and clinic in China.
METHODS: A total of 1419 healthy adults and 486 breast cancer patients.
METHODS: The initial items were developed from a theoretical framework, a literature review, and Delphi expert consultation. Item analysis, exploratory (EFA) and confirmatory factor analysis (CFA), criterion validity, construct reliability, and internal consistency reliability were performed to examine the psychometric properties of the SPQ.
RESULTS: The final SPQ was comprised of 11 different types of social activities, falling under the 3 dimensions of activities of daily life, sports and entertainment activities, and social service activities. EFA explained 50.674% of the total item variance contributing to the tool. CFA showed that the SPQ fit well. The total SPQ score was significantly associated with social network, quality of life, and cognitive function (r = |.180∼.466|, P < .001). The internal consistency coefficient was acceptable (range of Cronbach\'s alpha, .695 to .720).
CONCLUSIONS: The SPQ has robust properties, wide application, and provides a culturally relevant tool to evaluate the social participation of individuals, thus facilitating rigorous clinical and population-based research.

BACKGROUND: Radiation therapy is one of the crucial treatment modalities for cancer. An excellent radiation therapy plan relies heavily on an outstanding dose distribution map, which is traditionally generated through repeated trials and adjustments by experienced physicists. However, this process is both time-consuming and labor-intensive, and it comes with a degree of subjectivity. Now, with the powerful capabilities of deep learning, we are able to predict dose distribution maps more accurately, effectively overcoming these challenges.
METHODS: In this study, we propose a novel Swin-UMamba-Channel prediction model specifically designed for predicting the dose distribution of patients with left breast cancer undergoing radiotherapy after total mastectomy. This model integrates anatomical position information of organs and ray angle information, significantly enhancing prediction accuracy. Through iterative training of the generator (Swin-UMamba) and discriminator, the model can generate images that closely match the actual dose, assisting physicists in quickly creating DVH curves and shortening the treatment planning cycle. Our model exhibits excellent performance in terms of prediction accuracy, computational efficiency, and practicality, and its effectiveness has been further verified through comparative experiments with similar networks.
RESULTS: The results of the study indicate that our model can accurately predict the clinical dose of breast cancer patients undergoing intensity-modulated radiation therapy (IMRT). The predicted dose range is from 0 to 50 Gy, and compared with actual data, it shows a high accuracy with an average Dice similarity coefficient of 0.86. Specifically, the average dose change rate for the planning target volume ranges from 0.28 % to 1.515 %, while the average dose change rates for the right and left lungs are 2.113 % and 0.508 %, respectively. Notably, due to their small sizes, the heart and spinal cord exhibit relatively higher average dose change rates, reaching 3.208 % and 1.490 %, respectively. In comparison with similar dose studies, our model demonstrates superior performance. Additionally, our model possesses fewer parameters, lower computational complexity, and shorter processing time, further enhancing its practicality and efficiency. These findings provide strong evidence for the accuracy and reliability of our model in predicting doses, offering significant technical support for IMRT in breast cancer patients.
CONCLUSIONS: This study presents a novel Swin-UMamba-Channel dose prediction model, and its results demonstrate its precise prediction of clinical doses for the target area of left breast cancer patients undergoing total mastectomy and IMRT. These remarkable achievements provide valuable reference data for subsequent plan optimization and quality control, paving a new path for the application of deep learning in the field of radiation therapy.

BACKGROUND: None of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care and to highlight methods for solving the common obstacles faced during the application of M-health nursing service.
METHODS: We followed a four-step process: (a) Forming a cross-functional interdisciplinary development team containing two sub-teams, one for content development and the other for software development. (b) Applying self-management theory as the theoretical framework to develop the M-health application, using contextual analysis to gain a comprehensive understanding of the case management needs of oncology nursing specialists and the supportive care needs of out-of-hospital breast cancer patients. We validated the preliminary concepts of the framework and functionality of the M-health application through multiple interdisciplinary team discussions. (c) Adopting a multi-stage optimization strategy consisting of three progressive stages: screening, refining, and confirmation to develop and continually improve the WeChat mini-programs. (d) Following the user-centered principle throughout the development process and involving oncology nursing specialists and breast cancer patients at every stage.
RESULTS: Through a continuous, iterative development process and rigorous testing, we have developed patient-end and nurse-end program for breast cancer case management. The patient-end program contains four functional modules: \"Information\", \"Interaction\", \"Management\", and \"My\", while the nurse-end program includes three functional modules: \"Consultation\", \"Management\", and \"My\". The patient-end program scored 78.75 on the System Usability Scale and showed a 100% task passing rate, indicating that the programs were easy to use.
CONCLUSIONS: Based on the contextual analysis, multi-stage optimization strategy, and interdisciplinary team work, a WeChat mini-program has been developed tailored to the requirements of the nurses and patients. This approach leverages the expertise of professionals from multiple disciplines to create effective and evidence-based solutions that can improve patient outcomes and quality of care.

Purpose The purpose of this study is to comprehensively evaluate the role of different echocardiography parameters in breast cancer patients undergoing chemotherapy. While echocardiography examination with calculation of ejection fraction (EF), is pivotal for patient monitoring, its operator dependence and insensitivity to subtle changes in left ventricular (LV) contractility present challenges. Global longitudinal strain (GLS), derived from speckle tracking, is more sensitive and stable than EF. Our research aimed to delineate supplementary echocardiography measurements beneficial for the cardiological monitoring of breast cancer patients. Methods Patients were followed up with echocardiography at baseline, during, and after the chemotherapy. Conventional echocardiography and multiple speckle tracking imaging parameters including myocardial work index, atrial strain, twist, and automatic EF were investigated. Results A total of 25 patients were recruited. A subset (15/25) exhibited pronounced GLS reduction, associated with decreased EF and altered cardiac mechanics. Patients with unchanged GLS were often hypertensive and on specific medications, in particular angiotensin-converting enzyme inhibitors (ACE inhibitors)/angiotensin II receptor blockers (ARBs), potentially indicating protective effects. Despite stability in other parameters, GLS and EF sensitivity highlight their importance. A strong correlation between manual and automated EF measurement methods was also observed. Conclusion Despite the small sample size, across diverse echocardiography parameters, GLS and EF are primarily affected by chemotherapy. Hypertensive individuals exhibited lower susceptibility to chemotherapy-induced damage, likely attributed to the cardioprotective properties of ACE inhibitors and angiotensin II receptor blockers. A strong correlation between automatic and Simpson-based EF was found.

BACKGROUND: Fear of progression (FOP) is a common and significant concern among cancer patients, encompassing worries about cancer progression during active treatment. Elevated levels of FOP can be dysfunctional. This study aims to assess the efficacy of an Acceptance and Commitment Therapy (ACT)-based intervention on FOP, anxiety sensitivity (AS), and quality of life (QOL) in breast cancer patients.
METHODS: A clinical trial was conducted involving 80 stage I-III active-treatment breast cancer patients with a score greater than 34 on the Fear of Progression Questionnaire-Short Form scale. These patients were randomly assigned in a 1:1 ratio to either an intervention group, which received weekly 70-min sessions of 5-ACT-bsed group-therapy, or a control group that received usual treatment. Variables including FOP, AS, QOL, and ACT-related factors were assessed using ASQ, QLQ-C30, Cognitive Fusion Questionnaire, and Acceptance and Action Questionnaire-II at three time points: baseline, post-intervention, and 3-month follow-up. The efficacy of the intervention was evaluated using mixed model analysis across all time-points.
RESULTS: The fidelity and acceptability of the ACT-based manual were confirmed using significant methods. A significant reduction in FOP was observed only in the ACT group at post-intervention (P-valueACT < 0.001; Cohen dACT = 1.099). Furthermore, the ACT group demonstrated a more significant reduction in FOP at follow-up. Furthermore, all secondary and ACT-related variables, except for the physical symptoms subscale, showed significant improvement in the ACT group compared to the control group.
CONCLUSIONS: Our ACT-based manual showed promise for reducing FOP, AS, and improving QOL, and ACT-related variables in breast cancer patients 3 months following the intervention.

Purpose: To investigate the effectiveness of virtual reality (VR)-based interventions for functional rehabilitation of the upper limb in breast cancer patients through a systematic review and meta-analysis. Methods: The PubMed, Cochrane, Web of Science, CINAHL, Scopus, CNKI, Wanfang, and VIP databases were systematically searched for relevant literature published from the establishment of the database to June 2023. Differences in the effectiveness of VR-based interventions and other intervention therapies were compared using random effects model meta-analysis and standard deviation (SMD). Results: Seven eligible articles were identified and included in the meta-analysis. The combined analysis found that VR-based interventions had a positive impact on patients\' upper limb mobility in terms of flexion (SMD = 1.33, 95% confidence interval; CI [0.48-2.19], P = 0.002), abduction (SMD = 1.22, 95% CI [0.58-1.86], P = 0.0002), and external rotation (SMD = 0.94, 95% CI [0.48-1.40], P < 0.0001). In addition, VR-based interventions could significantly improve the postoperative pain of patients with breast cancer. However, in grip strength (SMD = 0.43, 95% CI [-3.05 to 3.92], P = 0.81), shoulder muscle strength in flexion strength (SMD = 0.05, 95% CI [-2.07 to 2.18], P = 0.96), abduction strength (SMD = -0.10, 95% CI [-1.32 to 1.12], P = 0.88), external rotation strength (SMD = 0.46, 95% CI [-1.96 to 2.88], P = 0.71), and lymphedema, VR was as effective as other intervention treatments. A subgroup analysis showed that patients younger than 55 years had more benefit with VR-based rehabilitation than with other interventions and showed improvements with the intervention within 2 weeks. The intervention effect of using auxiliary equipment such as robotic arms is better than VR exercise based solely on games. Conclusion: The results of meta-analysis show that the intervention measures based on VR have positive effects on the improvement of upper limb mobility and pain relief in breast cancer patients. However, considering the low quality of evidence and small sample size, more clinical studies should be conducted to improve the credibility of the results.

Breast cancer (BC) significantly impacts the quality of life (QoL) of affected individuals. This study, conducted at Colțea Clinical Hospital, Bucharest, aimed to assess the impact of organ failures and metastases on QoL in breast cancer patients using EORTC QLQ-C30 and EORTC QLQ-BR45 questionnaires and the survival rate to understand the clinical journey and the quality of life status in breast cancer patients. From January 2019 to October 2022, a prospective, observational study surveyed 874 patients, revealing 201 fatalities, 66 refusals, and 607 eligible participants. Results indicated statistically significant differences in various QoL aspects for patients experiencing heart failure, including physical functioning, pain, insomnia, global health status, and overall summary score. Kidney failure exhibited significance in physical functioning for QLQ-C30 and body image, sexual functioning, and endocrine sexual symptoms for QLQ-BR45. Respiratory failure demonstrated significant differences across multiple QoL domains. Patients with bone metastases reported lower physical functioning (p = 0.006) and increased pain (p = 0.002). This study has revealed an overall 5-year life expectancy of 68.8%, with survival rates of 93.8% for Stage I, 86.3% for Stage II, and 77.2% for Stage III breast cancer. Metastatic cancer patients have shown a 35.6% survival rate over 45 months, with a median survival duration of 36 months. A significant limitation of our study was the administration of the questionnaire only once, preventing us from quantifying the impact of specific treatment types on quality of life. This study emphasizes the necessity of using standardized QoL assessments in clinical practice from the initial presentation to ongoing follow-up.

Breast cancer is a common malignant tumor among women, and the effectiveness of diagnosing its metastasis and recurrence has been demonstrated using diffusion-weighted whole-body imaging with background body signal suppression (DWIBS). However, DWIBS causes distress to patients due to the unique circumstances of magnetic resonance imaging (MRI). This study aimed to investigate the various distress factors caused by DWIBS among women with breast cancer and assess the effectiveness of a new MRI system designed with an environment incorporating relaxing technology.
From May to September 2022, we conducted a questionnaire survey regarding DWIBS-related distress among women with breast cancer. The questionnaire was administered to participants who underwent DWIBS on a conventional MRI system (19 women) and on a new system (20 women) equipped with relaxing technology equipped features, including projection images, illumination, and sound. Participants rated the degree of various stress factors on a face-scale rating scale (0-10). The scores of both systems were compared using the Mann-Whitney U test.
In the conventional system, women experienced distress due to MRI-specific situations, such as immobility in a confined space, noise, feeling trapped, and concerns about not moving. These results did not show a specific tendency among women with breast cancer undergoing DWIBS. For almost all distress parameters, the new system had significantly lower distress scores than the conventional system (p > 0.05).
A comfortable environment using new and relaxing technology is effective in alleviating patient\'s anxiety by approaching the human senses.
Reducing distress caused by DWIBS among women with breast cancer could provide a comfortable examination environment, potentially assisting them during longer treatment periods.