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  Volume 11, Issue 3 (Iranian Quarterly Journal of Breast Disease 2018)  

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Iranian Journal of Breast Disease
Abstract (6161 Views) | چکیده  |   Full-Text (PDF) (5744 Downloads)   |   Highlights
Conclusion: The results of this study showed that compassion focused therapy can affect the body image and marital satisfaction in women with breast cancer.

Abstract (4676 Views) | چکیده  |   Full-Text (PDF) (2295 Downloads)   |   Highlights
Conclusion: Supportive dyadic coping by oneself and by the partner plays a very important role in the relationship between stress and marital adjustment in women. Therefore, supportive dyadic coping not only reduces the negative effects of stress on marital adjustment and quality, but it can improve marital adjustment.


Abstract (4838 Views) | چکیده  |   Full-Text (PDF) (3762 Downloads)   |   Highlights
Conclusion: Aerobic exercise can increase the expression of caspase-3 and caspase-9 and reduce tumor growth rate and tumor weight in breast cancer. Therefore, it can be claimed that exercise training can reduce tumor volume, and thus improve the condition of the mice with cancer, by increasing the levels of apoptotic factors.


Abstract (4817 Views) | چکیده  |   Full-Text (PDF) (1864 Downloads)   |   Highlights
Conclusion: It seems that decreased myostatin levels due to endurance training have an important role in the prevention of muscle wasting. According to our findings, endurance training, in addition to suppressing tumor growth, can be considered an effective strategy for combating muscle loss in cancer patients.


Abstract (5047 Views) | چکیده  |   Full-Text (PDF) (6144 Downloads)   |   Highlights
Conclusion: Based on the results obtained, the two Logistic and Multi-Class Classifiers have the best accuracies for the SEER and local datasets in this study.


Abstract (4908 Views) | چکیده  |   Full-Text (PDF) (3405 Downloads)   |   Highlights
Conclusion: Using dietary habits and cultural factors in the prediction of breast cancer, the proposed model has the least error rate and the most accuracy compared with other models such as fuzzy and neural networks.


Iranian Journal of Breast Disease

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