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Anti-Müllerian hormone as a predictor of IVF treatment
Mehrafza M, Raoufi A, Abdollahian P, Nikpouri Z, Shadmani K, Najafi M, Vojoudi E, Hosseini A,
Volume 70, Issue 6 (5 2012)
Abstract

Background: Anti-Müllerian Hormone (AMH) is secreted from granulosa cells of growing follicles and is a useful marker of ovarian reserve. Fertility in women is determined by the quality and quantity of follicle pool and ovarian follicular reserve positively correlates with AMH. In this study we aimed to determine if AMH can predict ovarian response in IVF treatments.
Methods: In this retrospective observational study undertaken in Mehr Institute during 2010 to 2011, we studied the medical records of 101 patients and recorded the concentrations of AMH, day two or three FSH, LH, basal estradiol (E2), E2 on day of HCG administration and the number of metaphase II oocytes. Having undergone ovarian hyperstimulation, the women were divided into three groups: poor responders (retrieved oocytes ?3), normal responders (retrieved oocytes 4 to 15) and high responders (retrieved oocytes ?16).
Results: Overall, 20% of patients were defined as poor responders, 71% as average responders and 10% as high responders. There were significant differences in the concentration of AMH, E2 on day of HCG administration, FSH, the number of metaphase II oocytes and age between the three groups. MII oocyte count correlated positively with AMH (r=0.487), basal E2 (r=0.275) and LH (r=0.07) but it did negatively with FSH (r=-0.26) and age (r=-0.04). The areas under curve for AMH, FSH, LH, E2 and age were 0.799, 0.32, 0.429, 0.558 and 0.304, respectively. We determined the 0.85 ng/ml AMH concentration as the cut-off point with 71% specificity and 79% sensitivity for the prediction of poor responders. 
Conclusion: anti-müllerian hormone is an appropriate predicator of ovarian response following induction of ovulation.


Recurrence and survival in early breast cancer subtypes
Ali Taghizadeh, Leila Pourali, Mona Joudi, Bahareh Makvandi , Elahe Hasanzadeh, Saeideh Ahmadi Simab , Golshid Nouri Hosseini , Mehrdad Gazanchian,
Volume 81, Issue 3 (June 2023)
Abstract
Background: Breast cancer is the most common type of cancer in many countries, accounting for over 18% of all cancers in females. There are more than one million new cases of breast cancer each year. Most women diagnosed with breast cancer are over the age of 50, but younger women can also get breast cancer. About one in seven women are diagnosed with breast cancer during their lifetime. There's a good chance of recovery if it's detected at an early stage. In Iran, breast cancer is the most common cancer among women, making up 21.4% of all female cancers. The mortality rate of this cancer is 4.33 for every 100,000 people. The purpose of this research is to see how often different kinds of early breast cancer come back and how long people live after being diagnosed.
Methods: This retrospective study evaluated the medical records of 500 breast cancer patients at two hospitals in Mashhad, Iran during April 2006 to March 2016. We used SPSS software, version 16 (SPSS Inc., Chicago, IL, USA) to analyze data. A P value less than 0.05 means that the results are considered statistically significant.
Results: We included 230 women with breast cancer. The average overall survival was 130.7 months, with 83.2% of people surviving for five years and 78.8% surviving for 10 years. The stage of the disease is strongly linked to the recurrence (P=0.000). Additionally, the specific type of disease is also strongly related to disease recurrence (P=0.01) or metastasis (P=0.01). Patients who have the triple-negative subtype had the highest chance of the cancer spreading and recurrence compared to patients with other subtypes.
Conclusion: The different types of breast cancer are strongly linked to the disease recurrence or metastasis. Patients with triple-negative subtypes had the most cases of cancer spreading to other parts of the body and coming back again, compared to other subtypes. Our findings also showed that patients with the triple-negative disease had the worst overall and disease-free survivals.

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