1.Adenolipoma of the breast
Fatemeh Nili ; Parastoo Ghanbari ; Alireza Ghanadan
The Malaysian Journal of Pathology 2015;37(1):67-70
Adenolipoma of the breast is an uncommon mammary lesion classified as a hamartomatous lesion,
presenting as a soft, mobile and well-defined mass. The typical mammographic findings is of a wellcircumscribed
lesion containing both fat and soft tissue surrounded by a capsule. Microscopically,
adenolipoma exhibits a hamartomatous mixture of ducts and lobules intermingled with adipose and
fibroconnective tissue. Enucleation is the standard treatment and recurrences are rare. We report
a 29-year-old woman with a mobile, tender and firm mass, 6 x 5 cm, in the upper inner quadrant
of the right breast of 1 month duration. Mediolateral mammography images demonstrated a welldefined
mass with mixed granular and fat density. Histopathology of the excised mass revealed
well-circumscribed lobules of ducts and glandular structures haphazardly embedded in mature
fatty tissue. Breast hamartoma should be differentiated from other benign lesions of the breast.
Awareness among radiologists and pathologists of this benign lesion would help avoid an incorrect
diagnosis and unnecessary intervention.
2.Exploring neighborhood inequality in female breast cancer incidence in Tehran using Bayesian spatial models and a spatial scan statistic.
Erfan AYUBI ; Mohammad Ali MANSOURNIA ; Ali Ghanbari MOTLAGH ; Alireza MOSAVI-JARRAHI ; Ali HOSSEINI ; Kamran YAZDANI
Epidemiology and Health 2017;39(1):e2017021-
OBJECTIVES: The aim of this study was to explore the spatial pattern of female breast cancer (BC) incidence at the neighborhood level in Tehran, Iran. METHODS: The present study included all registered incident cases of female BC from March 2008 to March 2011. The raw standardized incidence ratio (SIR) of BC for each neighborhood was estimated by comparing observed cases relative to expected cases. The estimated raw SIRs were smoothed by a Besag, York, and Mollie spatial model and the spatial empirical Bayesian method. The purely spatial scan statistic was used to identify spatial clusters. RESULTS: There were 4,175 incident BC cases in the study area from 2008 to 2011, of which 3,080 were successfully geocoded to the neighborhood level. Higher than expected rates of BC were found in neighborhoods located in northern and central Tehran, whereas lower rates appeared in southern areas. The most likely cluster of higher than expected BC incidence involved neighborhoods in districts 3 and 6, with an observed-to-expected ratio of 3.92 (p < 0.001), whereas the most likely cluster of lower than expected rates involved neighborhoods in districts 17, 18, and 19, with an observed-to-expected ratio of 0.05 (p < 0.001). CONCLUSIONS: Neighborhood-level inequality in the incidence of BC exists in Tehran. These findings can serve as a basis for resource allocation and preventive strategies in at-risk areas.
Bayes Theorem
;
Breast Neoplasms*
;
Breast*
;
Female*
;
Health Status Disparities
;
Humans
;
Incidence*
;
Iran
;
Residence Characteristics*
;
Resource Allocation
;
Socioeconomic Factors*
;
Spatial Analysis
3.Exploring neighborhood inequality in female breast cancer incidence in Tehran using Bayesian spatial models and a spatial scan statistic
Erfan AYUBI ; Mohammad Ali MANSOURNIA ; Ali Ghanbari MOTLAGH ; Alireza MOSAVI-JARRAHI ; Ali HOSSEINI ; Kamran YAZDANI
Epidemiology and Health 2017;39(1):2017021-
OBJECTIVES: The aim of this study was to explore the spatial pattern of female breast cancer (BC) incidence at the neighborhood level in Tehran, Iran.METHODS: The present study included all registered incident cases of female BC from March 2008 to March 2011. The raw standardized incidence ratio (SIR) of BC for each neighborhood was estimated by comparing observed cases relative to expected cases. The estimated raw SIRs were smoothed by a Besag, York, and Mollie spatial model and the spatial empirical Bayesian method. The purely spatial scan statistic was used to identify spatial clusters.RESULTS: There were 4,175 incident BC cases in the study area from 2008 to 2011, of which 3,080 were successfully geocoded to the neighborhood level. Higher than expected rates of BC were found in neighborhoods located in northern and central Tehran, whereas lower rates appeared in southern areas. The most likely cluster of higher than expected BC incidence involved neighborhoods in districts 3 and 6, with an observed-to-expected ratio of 3.92 (p < 0.001), whereas the most likely cluster of lower than expected rates involved neighborhoods in districts 17, 18, and 19, with an observed-to-expected ratio of 0.05 (p < 0.001).CONCLUSIONS: Neighborhood-level inequality in the incidence of BC exists in Tehran. These findings can serve as a basis for resource allocation and preventive strategies in at-risk areas.
Bayes Theorem
;
Breast Neoplasms
;
Breast
;
Female
;
Health Status Disparities
;
Humans
;
Incidence
;
Iran
;
Residence Characteristics
;
Resource Allocation
;
Socioeconomic Factors
;
Spatial Analysis
4.Use of complementary and alternative medicine in general population during COVID-19 outbreak: A survey in Iran.
Mahlagha DEHGHAN ; Alireza GHANBARI ; Fatemeh GHAEDI HEIDARI ; Parvin MANGOLIAN SHAHRBABAKI ; Mohammad Ali ZAKERI
Journal of Integrative Medicine 2022;20(1):45-51
OBJECTIVE:
Some epidemic diseases such as coronavirus disease 2019 (COVID-19) have caused many physical, psychological, and social challenges, despite the existence of treatment strategies. Many people are looking for complementary and alternative medicine (CAM) to prevent such diseases. The present study was performed to determine how some types of CAM were being used during the COVID-19 epidemic in Iran.
METHODS:
The present study had a cross-sectional descriptive correlational design. All Iranian residents above 17 years old were eligible to participate in the study. A total of 782 participants completed a demographic information questionnaire, a questionnaire about their use of CAMs and a questionnaire about their satisfaction with the CAMs they used. Web-based sampling was conducted from 20 April 2020 to 20 August 2020.
RESULTS:
Of the participants, 84% used at least one type of CAM during the COVID-19 outbreak. The most used CAMs were dietary supplements (61.3%), prayer (57.9%), and herbal medicines (48.8%). The majority of the participants (50%-66%) have used CAMs to prevent the transmission of COVID-19 or to reduce anxiety caused by the COVID-19 pandemic. CAM use was associated with sex, having children, place of residence, COVID-19 status, and source of gathering information about CAM (P < 0.05). All 32 participants who had been infected with COVID-19 used at least one type of CAM for treatment or alleviation of the disease symptoms.
CONCLUSION
During the COVID-19 outbreak, some types of CAM, particularly nutritional supplements, medicinal herbs, and prayer, were commonly used to prevent COVID-19 and reduce pandemic-related anxiety.
Adolescent
;
COVID-19
;
Child
;
Complementary Therapies
;
Cross-Sectional Studies
;
Disease Outbreaks
;
Humans
;
Iran
;
Pandemics
;
SARS-CoV-2
;
Surveys and Questionnaires