Systemic therapy and radiotherapy related complications and subsequent hospitalisation rates: a systematic review.

BACKGROUND: Hospitalisation  resulting from complications of systemic therapy and radiotherapy places a substantial burden on the patient, society, and healthcare system. To formulate preventive strategies and enhance patient care, it is crucial to understand the connection between complications and the need for subsequent hospitalisation. This review aimed to assess the existing literature on complications related to systemic and radiotherapy treatments for cancer, and their impact on hospitalisation rates. METHODS: Data was obtained via electronic searches of the PubMed, Scopus, Embase and Google Scholar online databases to select relevant peer-reviewed papers for studies published between January 1, 2000, and August 30, 2023. We searched for a combination of keywords in electronic databases and used a standard form to extract data from each article. The initial specific interest was to categorise the articles based on the aspects explored, especially complications due to systemic and radiotherapy and their impact on hospitalisation. The second interest was to examine the methodological quality of studies to accommodate the inherent heterogeneity. The study protocol was registered with PROSPERO (CRD42023462532). FINDINGS: Of 3289 potential articles 25 were selected for inclusion with ~ 34 million patients. Among the selected articles 21 were cohort studies, three were randomised control trials (RCTs) and one study was cross-sectional design. Out of the 25 studies, 6 studies reported ≥ 10 complications, while 7 studies reported complications ranging from 6 to 10. Three studies reported on a single complication, 5 studies reported at least two complications but fewer than six, and 3 studies reported higher numbers of complications (≥ 15) compared with other selected studies. Among the reported complications, neutropenia, cardiac complications, vomiting, fever, and kidney/renal injury were the top-most. The severity of post-therapy complications varied depending on the type of therapy. Studies indicated that patients treated with combination therapy had a higher number of post-therapy complications across the selected studies. Twenty studies (80%) reported the overall rate of hospitalisation among patients. Seven studies revealed a hospitalisation rate of over 50% among cancer patients who had at least one complication. Furthermore, two studies reported a high hospitalisation rate (> 90%) attributed to therapy-repeated complications. CONCLUSION: The burden of post-therapy complications is emerging across treatment modalities. Combination therapy is particularly associated with a higher number of post-therapy complications. Ongoing research and treatment strategies are imperative for mitigating the complications of cancer therapies and treatment procedures. Concurrently, healthcare reforms and enhancement are essential to address the elevated hospitalisation rates resulting from treatment-related complications in cancer patients.

Information management of full-cycle inpatient bed reservation for cancer patients under the normalised prevention and control of the COVID-19 pandemic.

BACKGROUND: During the prolonged COVID-19 pandemic, hospitals became focal points for normalised prevention and control. In this study, we investigated the feasibility of an inpatient bed reservation system for cancer patients that was developed in the department?s public WeChat account. We also explored its role in improving operational efficiency and nursing quality management, as well as in optimising nursing workforce deployment. METHODS: We utilised WeChat to facilitate communication between cancer patients and health care professionals. Furthermore, we collected data on admissions, discharges, average number of hospitalisation days, bed utilisation rate, and the number of bed days occupied by hospitalised patients through the hospital information system and nurses? working hours and competency levels through the nurse scheduling system. The average nursing hours per patient per day were calculated. Through the inpatient bed reservation system, the number of accepted admissions, denied admissions, and cancelled admissions from the reservation system were collected. The impact of the bed reservation system on the department?s operational efficiency was analysed by comparing the number of hospitalisation discharges before and after reservations, as well as the average hospitalisation and bed utilisation rates. By comparing nurses? working hours per month and average nursing hours per patient per day, the system?s impact on nurses? working hours and nursing quality indicators was analysed. RESULTS: The average hospitalisation length, bed utilisation rate, and nurses? working hours were significantly lower, and the average number of nursing hours per patient per day was significantly higher after the implementation of the reservation system. The full-cycle bed information management model for cancer patients did not affect the number of discharged patients. CONCLUSION: Patients? ability to reserve bed types from home in advance using the department?s official WeChat-based inpatient bed reservation system allowed nurses to prepare for their work ahead of time. This in turn improved the operational efficiency of the department and nursing quality, and it optimised the deployment of the nursing workforce.

Cancer Patients' Perspectives and Requirements of Digital Health Technologies: A Scoping Literature Review.

Digital health technologies have the potential to alleviate the increasing cancer burden. Incorporating patients' perspectives on digital health tools has been identified as a critical determinant for their successful uptake in cancer care. The main objective of this scoping review was to provide an overview of the existing evidence on cancer patients' perspectives and requirements for patient-facing digital health technologies. Three databases (CINAHL, MEDLINE, Science Direct) were searched and 128 studies were identified as eligible for inclusion. Web-based software/platforms, mobile or smartphone devices/applications, and remote sensing/wearable technologies employed for the delivery of interventions and patient monitoring were the most frequently employed technologies in cancer care. The abilities of digital tools to enable care management, user-friendliness, and facilitate patient-clinician interactions were the technological requirements predominantly considered as important by cancer patients. The findings from this review provide evidence that could inform future research on technology-associated parameters influencing cancer patients' decisions regarding the uptake and adoption of patient-facing digital health technologies.

Recognizing and acknowledging end-of-life for patients with cancer - a balancing act. A qualitative study of doctors' and nurses' experiences.

PURPOSE: Doctors and nurses are central in the challenging task of end-of-life (EOL) care, and this study aims to explore and describe doctors' and nurses' experiences of recognition and acknowledgment of the end of life for patients with cancer. METHODS: A qualitative, explorative research design with individual interviews was carried out based on a semi-open interview guide. A total of 6 doctors and 6 nurses working in medical or surgical departments at a Norwegian University hospital were interviewed. The interviews were analyzed using qualitative content analysis. RESULTS: The study's findings highlight that recognizing and acknowledging patients with cancer as being at end-of-life is a challenging process. Three subthemes emerged from the analysis; the significance of being experienced, the significance of organizational structures, and the significance of having a common understanding. A main theme was analyzed further and abstracted from the subthemes; Being safe to manage the balancing act of recognizing and acknowledging the end of life. CONCLUSIONS: Much is at stake in the EOL setting, and healthcare professionals (HCP) must balance several aspects regarding EOL decisions. Striking the right balance in these situations is challenging. HCPs need a safety net through collaboration with, and support from, colleagues, supporting organizational structures and experience. Strengthening the safety net will have a clear impact on improving clinical practice to reduce futile treatment and provide high-quality EOL care for all dying patients in hospitals.

The emotional states and associated behavioral responses (flexible-adaptive behaviors vs. inflexible-maladaptive behaviors) of cancer patients during the SARS-CoV-2 outbreak: A multi-center cross-sectional study in Italy.

OBJECTIVE: Distress during SARS-CoV-2 outbreak affected also cancer patients' well-being. Aim of this study was to investigate patient' reactions and behavior (flexible-adaptive vs. inflexible-maladaptive) during the SARS-CoV-2 outbreak. METHODS: A cross-sectional survey was designed with a self-report questionnaire, "the ImpACT questionnaire," developed for the study. Regression analysis was performed on data. RESULTS: Four hundred and forty five cancer patients from 17 Italian regions participated in the study. 79.8% of participants were female (mean age of 58 years). 92.6% of participants reported feeling vulnerable to COVID-19 contagion; 75.6% reported helpless, 62.7% sad, 60.4% anxious, and 52.0% anger. Avoidance of thinking about coronavirus is the principal maladaptive behavior that emerged. Participants who reported feeling anxious were more likely to have fear of staff being infected with COVID-19 (OR = 3.01; 95% CI = 1.49-6.30) and to have disrupted sleep due to worry (OR = 2.42; 95% CI = 1.23-4.83). Younger participants reported more anxiety (OR = 0.97; 95% CI = 0.94-1.00); men reported feeling calm more than women (OR = 2.60; 95% CI = 1.27-5.43). CONCLUSIONS: Majority of cancer patients reported serious concerns regarding SARS-CoV-2 infection; reliable information and psychological support must be offers to respond to these needs.

Accuracy of the COMPASS-CAT thrombosis risk assessment scale in predicting venous thromboembolism in cancer patients: a meta-analysis.

OBJECTIVE: This systematic review aims to assess the accuracy of the COMPASS-CAT tool in predicting venous thromboembolism (VTE) among cancer patients. METHODS: Relevant studies were searched in PubMed, Web of Science, The Cochrane Library, Embase, CINAHL, OVID, CBM, CNKI, WanFang Data, and VIP database from their inception up to April 19, 2023. The quality of studies was appraised using the diagnostic test accuracy study bias assessment tool (QUADAS-2). Quantitative analysis was performed using Stata MP 17.0. RESULTS: Thirteen studies involving 8,665 patients were included. Meta-analysis indicated that the COMPASS-CAT score had a pooled sensitivity of 0.76 [95%CI (0.61, 0.86)], specificity of 0.67 [95%CI (0.52, 0.79)], positive likelihood ratio of 2.3 [95%CI (1.7, 3.1)], negative likelihood ratio of 0.36 [95%CI (0.23, 0.54)], diagnostic odds ratio of 6 [95%CI (4, 10)], and an area under the Summary Receiver Operating Characteristic (SROC) curve (AUC) of 0.77 [95%CI (0.74, 0.81)]. Funnel plots indicated no publication bias. Meta-regression and subgroup analysis suggested that country and diagnostic setting might be potential sources of heterogeneity. The sensitivity of the COMPASS-CAT assessment tool in international outpatient settings was 0.94 with an AUC of 0.86, while in domestic inpatient settings, the sensitivity was 0.65 with an AUC of 0.78. CONCLUSION: The COMPASS-CAT score had a certain diagnostic value for VTE in cancer patients and can effectively identify patients at risk of VTE. Most studies focus on patients with lung cancer. Future research should investigate more tumor types, and high-quality, large-sample, multi-center prospective studies on larger populations with cancers are warranted.

Effects of Tongluo Jiedu prescription on immune function and oxidative stress in patients with oral cancer.

BACKGROUND: Oral cancer, which is caused by mucous membrane variation, represents a prevalent malignant tumor in the oral and maxillofacial region, posing a significant threat to patients' lives and safety. While surgical intervention stands as a cornerstone treatment for oral cancer patients, it carries the risk of incomplete treatment or high rates of postoperative recurrence. Hence, a multifaceted approach incorporating diverse treatment modalities is essential to enhance patient prognosis. AIM: To analyze the application effect of Tongluo Jiedu prescription as adjuvant therapy and its influence on patient prognosis in patients with oral cancer. METHODS: Eighty oral cancer patients in our hospital were selected and divided into the observation group and control group by a random number table. The control group was treated with continuous arterial infusion chemotherapy of cisplatin and 5-fluorouracil. The observation group was additionally given Tongluo Jiadu prescription. The inflammatory stress level, peripheral blood T-cell subsets, and immune function of the two groups were subsequently observed. SPSS 21.0 was used for data analysis. RESULTS: The observation group demonstrated lower levels of interleukin-6 and C-reactive protein, and a higher level of tumor necrosis factor in comparison to the control group. After treatment, the immune function in the observation group was significantly better than in the control group. CONCLUSION: Tongluo Jiedu prescription can improve the immune function and oxidative stress level of patients with oral cancer and accelerate the recovery process.

Understanding Reasons for Cancer Disparities in Italy: A Qualitative Study of Barriers and Needs of Cancer Patients and Healthcare Providers.

BACKGROUND: The second leading cause of death in Italy is cancer. Substantial disparities persist in the level of care and outcomes for cancer patients across various communities, hospitals, and regions in Italy. While substantial progress has been made in medical research and treatment options, these advancements tend to disproportionately benefit the wealthier, better-educated, and more privileged areas and portions of the population. Therefore, the primary aim of the current study is to explore possible reasons for inequalities in access to and utilisation of care from the perspective of cancer patients, who are recipients of these treatments, and healthcare providers, who are responsible for their administration. METHODS: After being recruited through social media platforms, patients' organisations, and hospital websites, cancer patients (n = 22) and healthcare providers (n = 16) from various Italian regions participated in online focus group discussions on disparities in access to and provision of care. Video and audio recordings of the interviews were analysed using Thematic analysis. RESULTS: Among cancer patients, 7 themes were identified, while 6 themes emerged from the healthcare providers highlighting encountered barriers and unmet needs in cancer care. Most of these emerging themes are common to both groups, such as geographical disparities, information deficiencies, and the importance of psycho-oncological support. However, several themes are specific to each group, for instance, cancer patients highlight the financial burden and the poor interactions with healthcare providers, while healthcare providers emphasise the necessity of establishing a stronger specialists' network and integrating clinical practice and research. CONCLUSION: Current findings reveal persistent challenges in cancer care, including long waiting lists and regional disparities, highlighting the need for inclusive healthcare strategies. The value of psycho-oncological support is underscored, as well as the potential of the Internet's use for informational needs, emphasising the imperative for improved awareness and communication to overcome disparities in cancer care.

Psychometric validation of the Chinese versions of the quality of communication questionnaires for cancer patients and their family caregivers.

BACKGROUND: Given the lack of valid and reliable instruments for evaluating the quality of communication between physicians and cancer patients and their family caregivers in China, this study translated and culturally adapted the Quality of Communication questionnaires for cancer patients (QOC-P) and their family caregivers (QOC-F) for use in the Chinese context and evaluated their psychometric properties. METHODS: The QOC-P and QOC-F were translated following an adapted version of Brislin's translation model and culturally adapted according to a Delphi expert panel. We pretested and refined the Chinese versions of the QOC-P and QOC-F among 16 dyads of patients and their family caregivers. Subsequently, we administered the questionnaires to 228 dyads of patients and their family caregivers who were recruited from six tertiary hospitals. The content validity, construct validity, convergent validity, and reliability of the QOC-P and QOC-F were examined. RESULTS: Through exploratory factor analysis, The QOC-P and QOC-F were divided into two dimensions: general communication and end-of-life communication. The Cronbach's coefficients ranged from 0.905 to 0.907 for the two subscales of the QOC-P and from 0.908 to 0.953 for the two subscales of the QOC-F. The two-week test-retest reliability was acceptable for both the QOC-P and QOC-F, with intraclass correlation coefficients of 0.993 and 0.991, respectively. The scale content validity index (QOC-P: 0.857, QOC-F: 1.0) and split-half reliability (QOC-P: 0.833, QOC-F: 0.935) were satisfactory. There was a negative correlation with anxiety and depression for both the QOC-P (r = -0.233 & -0.241, p < 0.001) and QOC-F (r = -0.464 & -0.420, p<0.001). The QOC-P showed a negative correlation with decision regret (r = -0.445, p<0.001) and a positive correlation with shared decision-making (r = 0.525, p<0.001), as hypothesized. CONCLUSION: The QOC-P and QOC-F show acceptable psychometric properties for evaluating the quality of communication between physicians and cancer patients and their family caregivers in both clinical and research contexts. Future studies should use more diverse and inclusive samples to test the structure of the Chinese version of the QOC-P and QOC-F with confirmatory factor analysis.

Completion rates and myelosuppression degrees of cancer patients receiving radiotherapy or chemoradiotherapy unchanged regardless of delay duration after Omicron infection.

This study aimed to investigate impacts of Omicron infection on cancer patients in China. A retrospective study was conducted, including 347 cancer patients undergoing radiotherapy or chemoradiotherapy between July 2022 and March 2023. Three groups involved: 108 patients without SARS-CoV-2 infection (non-COVID-19 group), 102 patients beginning treatment 10 days after first SARS-CoV-2 infection (≥ 10 days COVID-19 group), and 137 patients beginning treatment less than 10 days after first SARS-CoV-2 infection (< 10 days COVID-19 group). SAA, hsCRP, ALT, etc., were used to assess COVID-19 infection. Serum levels of SAA, hsCRP and IL-6 were all raised in two COVID-19-infected groups (SAA < 0.01, hsCRP < 0.01, IL-6 < 0.05), but PCT, ALT, LDH and HBDH levels were only elevated in ≥ 10 days COVID-19 group (PCT = 0.0478, ALT = 0.0022, LDH = 0.0313, HBDH = 0.0077). Moreover, moderate and severe infected cases were higher in ≥ 10 days COVID-19 group than < 10 days COVID-19 group (12/102 vs 5/137, p = 0.0211), but no significance in myelosuppression and completion rates among three groups. Omicron infection led to inflammation, liver and cardiovascular injury on cancer patients, but delay duration of radiotherapy or chemoradiotherapy after infection did not affect the completion rates and myelosuppression of current therapy. Besides, severity of Omicron infection was even worse among cancer patients who received delayed treatment.

Prevalence, Attributes, and Risk Factors of QT-Interval-Prolonging Drugs and Potential Drug-Drug Interactions in Cancer Patients: A Prospective Study in a Tertiary Care Hospital.

Introduction Cancer chemotherapy regimens include multiple classes of adjuvant drugs as supportive therapy. Because of the concurrent intake of other drugs (like antiemetics, antidepressants, analgesics, and antimicrobials), there is a heightened risk for possible QT interval prolongation. There is a dearth of evidence in the literature regarding the usage of QT-prolonging anticancer drugs and associated risk factors that have the propensity to prolong QT interval. The purpose was to explore the extent of the use of QT-interval-prolonging drugs and potential QT-prolonging drug-drug interactions (QT-DDIs) in cancer patients attending OPD in a tertiary-care hospital. Methods This was a hospital-based, cross-sectional, observational study. Risk stratification of QT-prolonging drugs for torsades de pointes (TdP) was done by the Arizona Center for Education and Research on Therapeutics (AzCERT)/CredibleMeds-lists, and potential QT-DDIs were determined with four online DDI-checker-software. Results In 1331 cancer patients, the overall prevalence of potential QT-prolonging drug utilization was 97.3%. Ondansetron, pantoprazole, domperidone, and olanzapine were the most frequent QT-prolonging drugs in cancer patients. The top six antineoplastics with potential QT-prolonging and torsadogenic actions were capecitabine, oxaliplatin, imatinib, bortezomib, 5-fluorouracil, and bendamustine. Evidence-based pragmatic QTc interval prolongation risk assessment tools are imperative for cancer patients. Conclusion This study revealed a high prevalence of QT-prolonging drugs and QT-DDIs among cancer patients who are treated with anticancer and non-anticancer drugs. As a result, it's critical to take precautions, stay vigilant, and avoid QT-prolonging in clinical situations. Evidence-based pragmatic QTc interval prolongation risk assessment tools are needed for cancer patients.

A microRNA Profile Regulates Inflammation-Related Signaling Pathways in Young Women with Locally Advanced Cervical Cancer.

Cervical cancer (CC) remains among the most frequent cancers worldwide despite advances in screening and the development of vaccines against human papillomavirus (HPV), involved in virtually all cases of CC. In mid-income countries, a substantial proportion of the cases are diagnosed in advanced stages, and around 40% of them are diagnosed in women under 49 years, just below the global median age. This suggests that members of this age group share common risk factors, such as chronic inflammation. In this work, we studied samples from 46 patients below 45 years old, searching for a miRNA profile regulating cancer pathways. We found 615 differentially expressed miRNAs between tumor samples and healthy tissues. Through bioinformatic analysis, we found that several of them targeted elements of the JAK/STAT pathway and other inflammation-related pathways. We validated the interactions of miR-30a and miR-34c with JAK1 and STAT3, respectively, through dual-luciferase and expression assays in cervical carcinoma-derived cell lines. Finally, through knockdown experiments, we observed that these miRNAs decreased viability and promoted proliferation in HeLa cells. This work contributes to understanding the mechanisms through which HPV regulates inflammation, in addition to its canonical oncogenic function, and brings attention to the JAK/STAT signaling pathway as a possible diagnostic marker for CC patients younger than 45 years. To our knowledge to date, there has been no previous description of a panel of miRNAs or even ncRNAs in young women with locally advanced cervical cancer.

Molecular prevalence and genotypes of Enterocytozoon bieneusi in cancer patients under chemotherapy in Aegean region of Türkiye.

BACKGROUND: Enterocytozoon bieneusi is the most common species found in humans. Although E. bieneusi has been investigated in humans, genotype profile of E. bieneusi is not known in Türkiye. METHODS: In this study, we screened E. bieneusi in patients (n = 94) with different types of malignant solid tumors by Real Time PCR and then sequenced E. bieneusi positive samples. All cancer patients were undergoing chemotherapy and had diarrhea. Moreover, as control groups, we also screened E. bieneusi in patients with diarrhea (n = 50) and without diarrhea (n = 50). RESULTS: Among all patients analyzed, 33 (17%) were found to be E. bieneusi-positive. As the patients were categorized, the molecular prevalence of E. bieneusi increased to 25.5% among cancer patients with diarrhea. However, the molecular prevalence of E. bieneusi was found to be lower in patients with presenting only diarrhea (8%) and patients without diarrhea (10%). The high molecular prevalence value detected among cancer patients with diarrhea was also statistically significant compared to other patient groups (P = 0.00112 and P = 0.0269). Among the 33 Real Time PCR positive samples, 10 of them were amplified by nested PCR and among these 10 samples, 6 of them were successfully genotyped. The phylogenetic tree showed the presence of D and Type IV which were also identified in stray cats living in Izmir in our previous study. CONCLUSIONS: High molecular prevalence value indicates the importance of screening stool samples of cancer patients with diarrhea for E. bieneusi and genotyping results indicate that D and Type IV are circulating between humans and cats.

Oxidative Stress in the Pathogenesis of Oral Cancer.

Oxidative stress, arising from an imbalance between reactive oxygen species (ROS) and antioxidants, contributes significantly to oral cancer such as oral squamous cell carcinoma (OSCC) initiation, promotion, and progression. ROS, generated both internally and externally, induce cellular damage including DNA mutations and lipid peroxidation, fostering oncogene activation and carcinogenesis. The objective of this review was to cover and analyze the interplay between ROS and antioxidants, influencing the key processes such as cell proliferation, apoptosis, and angiogenesis, shaping the trajectory of OSCC development. Despite the promise of antioxidants to halt cancer progression and mitigate oxidative damage, their therapeutic efficacy remains debated. The conducted literature search highlighted potential biomarkers that indicate levels of oxidative stress, showing promise for the early detection and monitoring of OSCC. Furthermore, melatonin has emerged as a promising adjunct therapy for OSCC, exerting antioxidant and oncostatic effects by modulating tumor-associated neutrophils and inhibiting cancer cell survival and migration. In addition, this review aims to shed light on developing personalized therapeutic strategies for patients with OSCC such as melatonin therapy, which will be discussed. Research is needed to elucidate the underlying mechanisms and clinical implications of oxidative stress modulation in the context of oral cancer.

AI-Assisted Body Composition Assessment Using CT Imaging in Colorectal Cancer Patients: Predictive Capacity for Sarcopenia and Malnutrition Diagnosis.

(1) Background: The assessment of muscle mass is crucial in the nutritional evaluation of patients with colorectal cancer (CRC), as decreased muscle mass is linked to increased complications and poorer prognosis. This study aims to evaluate the utility of AI-assisted L3 CT for assessing body composition and determining low muscle mass using both the Global Leadership Initiative on Malnutrition (GLIM) criteria for malnutrition and the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria for sarcopenia in CRC patients prior to surgery. Additionally, we aim to establish cutoff points for muscle mass in men and women and propose their application in these diagnostic frameworks. (2) Methods: This retrospective observational study included CRC patients assessed by the Endocrinology and Nutrition services of the Regional University Hospitals of Malaga, Virgen de la Victoria of Malaga, and Vall d'Hebrón of Barcelona from October 2018 to July 2023. A morphofunctional assessment, including anthropometry, bioimpedance analysis (BIA), and handgrip strength, was conducted to apply the GLIM criteria for malnutrition and the EWGSOP2 criteria for sarcopenia. Body composition evaluation was performed through AI-assisted analysis of CT images at the L3 level. ROC analysis was used to determine the predictive capacity of variables derived from the CT analysis regarding the diagnosis of low muscle mass and to describe cutoff points. (3) Results: A total of 586 patients were enrolled, with a mean age of 68.4 ± 10.2 years. Using the GLIM criteria, 245 patients (41.8%) were diagnosed with malnutrition. Applying the EWGSOP2 criteria, 56 patients (9.6%) were diagnosed with sarcopenia. ROC curve analysis for the skeletal muscle index (SMI) showed a strong discriminative capacity of muscle area to detect low fat-free mass index (FFMI) (AUC = 0.82, 95% CI 0.77-0.87, p < 0.001). The identified SMI cutoff for diagnosing low FFMI was 32.75 cm2/m2 (Sn 77%, Sp 64.3%; AUC = 0.79, 95% CI 0.70-0.87, p < 0.001) in women, and 39.9 cm2/m2 (Sn 77%, Sp 72.7%; AUC = 0.85, 95% CI 0.80-0.90, p < 0.001) in men. Additionally, skeletal muscle area (SMA) showed good discriminative capacity for detecting low appendicular skeletal muscle mass (ASMM) (AUC = 0.71, 95% CI 0.65-0.76, p < 0.001). The identified SMA cutoff points for diagnosing low ASMM were 83.2 cm2 (Sn 76.7%, Sp 55.3%; AUC = 0.77, 95% CI 0.69-0.84, p < 0.001) in women and 112.6 cm2 (Sn 82.3%, Sp 58.6%; AUC = 0.79, 95% CI 0.74-0.85, p < 0.001) in men. (4) Conclusions: AI-assisted body composition assessment using CT is a valuable tool in the morphofunctional evaluation of patients with colorectal cancer prior to surgery. CT provides quantitative data on muscle mass for the application of the GLIM criteria for malnutrition and the EWGSOP2 criteria for sarcopenia, with specific cutoff points established for diagnostic use.

Precision dose prediction for breast cancer patients undergoing IMRT: The Swin-UMamba-Channel Model.

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. CONCLUSION: 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.

Impact of background music listening on anxiety in cancer patients undergoing initial radiation therapy: a randomized clinical trial.

BACKGROUND: Patients undergoing radiation therapy (RT) often experience anxiety, which may jeopardize the treatment success. The efficacy of music interventions in reducing anxiety remains contentious. This randomized trial aimed to evaluate the impact of music listening on anxiety symptoms in patients undergoing initial RT. METHODS: First-time RT patients were randomly allocated to experimental and control groups. The Brief Symptom Rating Scale (BSRS-5), Distress Thermometer (DT), and Beck Anxiety Inventory (BAI-C) were administered pre- and post-RT. Changes in physiological anxiety symptoms were monitored over 10 consecutive days starting from the first day of RT. The experimental group received music during RT; the control group did not. The generalized linear mixed model was used to estimate the pre-post difference in the BSRS-5, DT, and BAI-C scores between the music intervention and control group. RESULTS: This study included 50 patients each in the experimental and control groups. BSRS-5 and DT scores were significantly reduced in the experimental group post-RT (p = 0.0114 and p = 0.0023, respectively). When music listening was discontinued, these scores rebounded. While the posttest BAI-C score was significantly lower in the experimental group (p < 0.0001), the pre-post difference between the two groups was not significant (p = 0.0619). On cessation of music listening, the BAI-C score also rebounded. CONCLUSIONS: For cancer patients undergoing initial RT, music listening intervention significantly reduced anxiety symptoms measured using the BSRS-5, DT, and BAI-C scores after two weeks. Our results demonstrate the effectiveness of music listening intervention in reducing anxiety symptoms, thereby potentially improving the quality of life of cancer patients undergoing RT.

Unveiling the Intricate Dance: How Cancer Orchestrates Muscle Wasting and Sarcopenia.

Sarcopenia is a prevalent and clinically significant condition, particularly among older age groups and those with chronic disease. Patients with cancer frequently suffer from sarcopenia and progressive loss of muscle mass, strength, and function. The complex interplay between cancer and its treatment, including medical therapy, radiotherapy, and surgery, significantly contributes to the onset and worsening of sarcopenia. Cancer induces muscle wasting through inflammatory processes, metabolic alterations, and hormonal imbalance. Moreover, medical and radiation therapies exert direct toxic effects on muscles, contributing to the impairment of physical function. Loss of appetite, malnutrition, and physical inactivity further exacerbate muscle wasting in cancer patients. Imaging techniques are the cornerstones for sarcopenia diagnosis. Magnetic resonance imaging, computed tomography, and dual-energy X-ray absorptiometry provide valuable insights into muscle structure and quality. Although each modality has advantages and limitations, magnetic resonance imaging produces high-resolution images and provides dynamic information about muscle function. Despite these challenges, addressing sarcopenia is essential for optimizing treatment outcomes and improving survival rates in patients with cancer. This review explored the factors contributing to sarcopenia in oncologic patients, emphasizing the importance of early detection and comprehensive management strategies.

Resilience and related factors in caregivers of adult cancer patients: a systematic review.

Background: This systematic review aimed to investigate resilience and its related factors in caregivers of adult patients with cancer. Materials and methods: A systematic search of online electronic databases including Scopus, PubMed, Web of Science, Iranmedex, and Scientific Information Database (SID) was performed using keywords extracted from Medical Subject Headings such as "Psychological Resilience", "Caregiver", and "Cancer" from the earliest to 6 June 2023. The quality of the studies included in this review was evaluated using the appraisal tool for cross-sectional studies (AXIS tool). Results: A total of 2735 caregivers of cancer patients participated in 15 studies. The majority of the studies found that caregivers of cancer patients had high levels of resilience. Factors related to the resilience of cancer patients' caregivers included caregivers' social support, caregivers' quality of life, patients' resilience, caregivers' family function, patients' performance, caregivers' age, caregivers' health status, caregivers' self-esteem, caregivers post-traumatic growth, caregivers religious, caregivers hope, caregivers positive affect, patients age, patients social support, patients resilience support, patients quality of life, caregivers' anxiety, caregivers' depression, caregivers' burden, caregivers level of education, caregivers financial problem, caregivers memory, caregivers negative affect, caregivers post-traumatic stress disorder, maternal distress, and patients post-traumatic stress disorder. Conclusion: Therefore, healthcare administrators and policymakers can enhance the resilience of caregivers and the quality of care they provide by instituting ongoing training initiatives focused on evaluating mental well-being and implementing coping strategies for managing stress and depression.

Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example.

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.