Showing 4 results for hoseini
Somaye Basak, Bahman Dashtbozorgi, Seyed Mohamad Hoseini, Seyed Mahmoud Latifi,
Volume 3, Issue 1 (breast disease journal 2010)
Abstract
Amir Motamedi, Shahpar Haghighat, Navid Khalili, Akram Alsadat Sadjadian, Sepideh Omidvari, Fatemeh Mollahoseini, Zahra Sheikhi Mobarakeh,
Volume 8, Issue 1 (Iranian Quarterly Journal of Breast Disease 2015)
Abstract
Alireza Rezaei, Sorayya Mostaghimi, Misagh Allahtavakoli, Maryam Ghanizadeh, Atena Sadidi, Seyed Morteza Hoseini Jebeli, Negar Mostafadoost,
Volume 15, Issue 2 (Iranian Journal of Breast Diseases 2022)
Abstract
Introduction: breast cancer is listed as the most common type of cancer in women and many patients suffer from this disease worldwide. However, the timely diagnosis of the condition can lower the rate of mortality and morbidity. Breast imaging-reporting and data system (BI-RADS) is a noninvasive scoring system. The aim of our study was to assess the BI-RADS for patients and evaluate the correspondence of BI-RADS score with pathological findings.
Methods: Ultrasound data for 250 patients who were BI-RADS 4 or above were gathered. Moreover, information like demographic data, family history, the involved breast (right or left), and the location of involvement was extracted. Furthermore, pathological grading based on the core needle biopsy or open surgery was assessed.
Results: The mean age of the patients was 44.43 ± 13.10 years, and 20.8% had a family history of breast cancer. The number of cases categorized as BI-RADS 4A was 109 (43.6%), 39 cases (15.6%) were 4B, and 102 cases (40.8%) were 4C. Furthermore, in 128 cases (51.2%) the right breast and in 122 cases (48.8%) the left breast was involved. Age and percentage of lymphadenopathy in 4C group were significantly higher than 4A and 4B groups (P = 0.0001). Also, the location of the lesion (P = 0.004), pathologic diagnosis (P = 0.0001) and pathologic grade (P = 0.0001) were significantly different among the three categories. A total of 11.9% of 4A cases, 30.8% of 4B cases, and 90.2% of 4C cases were reported as carcinoma.
Conclusion: The results of our study showed that the positive predictive value for the three categories of A, B, and C were equal to 11.9%, 30.8%, and 90.2%, respectively. However, more studies are still needed to examine this index more closely.
Negar Mazloomalhoseini, Hadi Bahrami Ehsan, Reza Rostami, Manijeh Firoozi,
Volume 16, Issue 1 (Iranian Journal of Breast Diseases 2023)
Abstract
Introduction: The aim of this study was to evaluate the effectiveness of the adaptation improvement protocol based on the multimodal model on the level of mental health of women with breast cancer.
Methods: The current study is a randomized controlled clinical trial with pre-test and post-test with experimental and control groups. The present study was an applied study and the research method was quasi-experimental and its design was pre-test and post-test with experimental and control groups. The statistical population included patients with breast cancer referred to the specialized clinic of breast diseases in Mashhad. Among them, 30 were selected and randomly assigned to experimental and control groups. The experimental group was trained in adaptation improvement protocol based on the multimodal model and the control group did not receive any intervention. The research instrument was depression, anxiety and stress scale. Data were analyzed by analysis of covariance and SPSS-24 software.
Results: The results of multivariate covariance analysis showed that there is a significant difference between the two groups in terms of the linear combination of depression, anxiety and stress subscales (Wickels lambda = 0.30, F =17.73, p <0.05). The results of univariate analysis of covariance showed that the adaptation improvement protocol based on the multimodal model has significantly reduced depression, anxiety and stress in women with breast cancer (P<0.001) and the effect size of the group on these variables was 65, 33 and 54, respectively.
Conclusion: The adaptation improvement protocol based on the multimodal model improved the level of mental health in women with breast cancer by creating spiritual, psychological, social, emotional and physical adaptation.
