European journal of breast health最新文献

Objective: The aim of this study was to investigate the extent of worry about breast cancer (BC) amongst a sample of women and to examine the effect of this on behavior to prevent BC.

Materials and methods: This cross-sectional study was conducted in 271 women aged 18 years and above who attended the Family Medicine Outpatient Clinic of a tertiary hospital and met the inclusion criteria. Data were collected using the following tools: Patient Information Form; Breast Cancer Worry Scale (BCWS); Breast Cancer Prevention Behaviors Identification Scale (BCPBIS); and Mammography Processes of Change Scale (MPCS).

Results: When evaluated according to BCWS scores (mean 8.43±3.36), the BC worry levels were found to be low. The behavior adopted for prevention was also found to be positive according to BCPBIS (mean 119±15.26) and MPCS (mean 82.38±12.81) scores. A significant correlation was found between the BCWS and both the BCPBIS and MPCS scores, and again between the BCPBIS and MPCS scores (p<0.001 for all). There was a correlation with three scale scores in those who had knowledge about BC, and those who had regular clinical breast examination (BE) (p<0.05 for all). The BCPBIS score was found to be higher in those aged between 41-65 years, those who had mammography, and performed p self-BE (p = 0.002; p<0.001; p<0.001, respectively). According to the MPCS score, mammography behaviors was found to be more positive in those who had regular gynecological examinations and those who had mammography (p = 0.08 and p = 0.011).

Conclusion: The participants generally had low BC worry levels and had adopted positive behavior for prevention. Being informed about BC and screening and having regular BE increased BC worry. Those with high BC worry, those who had mammography before, those who had knowledge about BC and screening, and those who regularly performed BE showed more positive behaviors toward preventing BC.

The landscape of breast imaging has transformed significantly since mammography's introduction in the 1960s, accelerated by ultrasound and imageguided biopsies in the 1990s. The emergence of magnetic resonance imaging (MRI) in the 2000s added a valuable dimension to advanced imaging. Multimodality and multiparametric imaging have firmly established breast radiology's pivotal role in managing breast disorders. A shift from conventional to digital radiology emerged in the late 20th and early 21st centuries, enabling advanced techniques like digital breast tomosynthesis, contrast-enhanced mammography, and artificial intelligence (AI) integration. AI's impending integration into breast radiology may enhance diagnostics and workflows. It involves computer-aided diagnosis (CAD) algorithms, workflow support algorithms, and data processing algorithms. CAD systems, developed since the 1980s, optimize cancer detection rates by addressing false positives and negatives. Radiologists' roles will evolve into specialized clinicians collaborating with AI for efficient patient care and utilizing advanced techniques with multiparametric imaging and radiomics. Wearable technologies, non-contrast MRI, and innovative modalities like photoacoustic imaging show potential to enhance diagnostics. Imaging-guided therapy, notably cryotherapy, and theranostics, gains traction. Theranostics, integrating therapy and diagnostics, holds potential for precise treatment. Advanced imaging, AI, and novel therapies will revolutionize breast radiology, offering refined diagnostics and personalized treatments. Personalized screening, AI's role, and imaging-guided therapies will shape the future of breast radiology.

Objective: Sentinel lymph node biopsy (SLNB) represents the gold standard for axillary surgical staging. The aim of this study was to assess the proportion of axillary lymph node dissection (ALND) that could be avoided after retrospective application of the ACOSOG Z0011 criteria and to evaluate the shortterm complications associated with axillary surgery.

Materials and methods: We reviewed breast cancer (BC) patients treated by primary breast-conserving surgery from 2012 to 2015. The percentage of SLNB vs ALND performed before and after the application of the ACOSOG Z0011 criteria was calculated. Complications were analyzed using crosstabs, with p<0.05 considered significant.

Results: Two hundred fifty one patients with a median age of 59.3 years were included. BC tumors had a median size of 13 mm and were mostly unifocal (83.9%). There were 30.3% with 1-2 metastatic lymph nodes (MLN). ALND was performed in 44.2%. The patients with 1-2 MLN, had only SLNB in 14.5% of cases. By applying the ACOSOG Z0011 criteria, ALND would have been avoided in 40.2% of patients. At least one postoperative complication was reported after SLNB or ALND for 45.7% and 74.7% of patients respectively. Seroma was the most frequent complication, and occurred in 29.3% of cases after SLNB and in 59.5% after ALND.

Conclusion: SNLB is the most commonly used axillary surgical staging procedure in this series (55.8%). With a retrospective application of the ACOSOG Z0011 criteria in our population, ALND could have been avoided for 40.2% patients. Post-operative complications rate was higher after ALND, with a seroma rate at 59.5%.

Objective: The aim of this study was to examine the mediating role of psychological resilience as part of the effect of spiritual well-being in the supportive care needs of women with breast cancer.

Materials and methods: Cross-sectional design. The Connor-Davidson Resilience Scale Short Form, the Spiritual Well-Being Scale, and the Supportive Care Needs Survey Short Form were completed women with breast cancer treated at the oncology clinic of a university hospital. For the mediation model, Bootstrap methods with PROCESS Macro were used.

Results: The study was conducted with 126 breast cancer patients. A significant negative, moderate relationship was found between supportive care needs and psychological resilience (r = -0.560). There was a significant negative, but weak relationship between supportive care needs and spiritual well-being (r = -0.385). The indirect effect of spiritual well-being on supportive care needs was significant, thus, psychological resilience was shown to have a mediating effect on the relationship between spiritual well-being and supportive care needs [b = -0.370, 95% confidence interval (- 0.5568, -0.1911)].

Conclusion: Psychological resilience appears to contribute to a reduction in supportive care needs of breast cancer patients by affecting spiritual well-being.

Objective: This study aimed to evaluate the relationship between PREDICT tool overall survival (OS) scores and high-risk patients according to TAILORx risk categorization in elderly hormone reseptor (HR) positive human epidermal growth factor negative early breast-cancer patients.

Materials and methods: We conducted a retrospective study, extracting data from medical records of 64 patients diagnosed with breast cancer. A retrospective analysis was performed on all patients who had Oncotype Dx Recurrence Scores across five medical centers between 2017 and 2022. PREDICT scores were defined as calculated 10-year OS rates via PREDICT tool.

Results: The median age of the patients was 67, with a range between 65-75 years. Low-risk patients had a slightly higher two PREDICT scores compared to high-risk patients (78% vs. 73%), (81% vs. 77%), which were statistically significant. The progesterone receptor (PR) level was significantly lower in the high-risk group (3.5% vs. 80%). A unit decrease in the PREDICT scores was associated with a 11% increase in the odds of being in the high-risk group. However, these effects weren't statistically significant in the multivariate analysis. A unit decrease in the PR level was significantly associated with increased odds (by 5% in the multivariate analysis) of being in the high-risk group.

Conclusion: Our study underscores the importance of using a combination of tools, including the PREDICT tool, PR levels, and TAILORx risk categorization, for a comprehensive risk assessment in these patients, especially in the older population. Accurate risk assessment is crucial for tailoring the treatment and optimizing outcomes in this vulnerable population. Future studies are warranted to further validate these findings in larger cohorts and to explore additional biomarkers and genomic signatures that may aid in the risk assessment and management of breast cancer in older patients.