# Comprehensive Analysis of Predictors and Outcomes in Breast Cancer Screening in Romania: Insights from Demographic, Clinical, and Lifestyle Factors

## TL;DR

This study explores factors influencing breast cancer screening outcomes in Romania, highlighting demographic and lifestyle predictors and regional disparities.

## Contribution

The study provides real-world data on breast cancer risk factors and screening outcomes in Romania, emphasizing regional disparities and the need for targeted interventions.

## Key findings

- BMI, family history, age at first birth, and menopause age predict progression through breast cancer screening stages.
- Urban participants had higher positive mammogram rates compared to rural participants.
- A breast cancer detection rate of 8 per 1000 patients was observed in the study cohort.

## Abstract

Background/Objectives: The primary purpose of this study is to provide a more in-depth insight into various demographic, clinical, and lifestyle factors in relation to breast cancer and to predict the extent to which certain variables described as “predictors” might lead to further investigation. By analyzing a large cohort, we are able to provide valuable and up-to-date information on breast cancer screening, support breast specialists, and further enhance international screening guidelines. Methods: We screened for breast cancer in a population of women aged 50 to 69 years by using the standardized breast cancer imaging screening method (breast mammography) and ultrasonography as a complementary imagistic tool, and we compared the results with the gold standard, breast biopsy. For this, 58,760 women with no known history of breast cancer coming from 4 major regions of Romania (North-East, North-West, South-East, and West) were first evaluated through mammography. Out of these, 3197 women with positive mammograms subsequently underwent a breast ultrasound examination. The remaining 688 patients with positive breast ultrasound were further referred for a breast biopsy. Results: The statistical analysis revealed several predictors such as the body mass index (BMI), positive family medical history of breast cancer, age at first birth, and age at menopause that influenced the progression from mammography (first stage of the screening program) towards echography (additional imaging modality). Furthermore, we established that age, age at first birth, and BMI are significant predictors of progression from echography towards biopsy (the last stage of the screening program). Furthermore, by analyzing the number of positive biopsies (688) out of the total number of patients in the study (58,760), we calculated a total breast cancer detection rate of 8 per 1000 patients. Lastly, by studying the patient demographics in the context of breast cancer (BC) screening, we observed that participants coming from an urban environment presented a higher rate of positive mammographic results as compared to ones of rural provenience. Conclusions: Our study analyzed a large cohort of patients and offers real world data which shows that multiple factors were positively associated with an increased risk of BC. Older age, older age at first birth, and an older menopausal age are all estrogen-dependent risk factors that were linked with an increased breast cancer risk in our study. Furthermore, our findings concerning the rural/urban disparities and regional differences highlight the need for region-specific interventions to address lifestyle risk factors, improve healthcare access, and enhance breast cancer screening and follow-up protocols, particularly in underserved areas like the North-East and South-East regions.