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Comparison of laboratory and bone mineral density results according to the groups 

Comparison of laboratory and bone mineral density results according to the groups 

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Objectives: Breast density increases the risk of breast cancer, but also in the interpretation of mammography is also important. This study examine the risk factors affecting breast density in postmenopausal women. Methods: Between January 2013 and January 2014, 215 patients admitted to The Clinics of Gynecology and Obstetrics with complaints of...

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... groups; the comparative results of gynecological hormones, complete blood count, biochemical parameters, serum lipid levels, thyroid function tests and bone density measurements are also seen in Table 2. There was no statistically significantly difference, in terms of FSH, LH, E2, TSH, hemogram sub parameters, liver enzymes, serum lipid levels (triglycerides, cholesterol, HDL, LDL), electrolyte levels and bone density in groups (P > 0.05). ...

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... MD varies throughout life but declines with age, with the biggest drop occurring during the shift to menopause (8). Low MD is associated with older age, higher body mass index (BMI), multiple pregnancies, and parity, whereas high MD is associated with younger age, lower BMI, nulliparity, older age at first birth, and use of hormone replacement therapy (9)(10)(11). It is unknown whether high MD leads to more aggressive BC forms (12), as it is unrelated to BRCA mutations (13), tumor hormone receptor status, or BC phenotypes (5). ...
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Objective The association between mammographic density (MD) and breast cancer (BC) recurrence and survival remains unclear. Patients receiving neoadjuvant chemotherapy (NACT) are in a vulnerable situation with the tumor within the breast during treatment. This study evaluated the association between MD and recurrence/survival in BC patients treated with NACT. Methods Patients with BC treated with NACT in Sweden (2005–2016) were retrospectively included (N=302). Associations between MD (Breast Imaging-Reporting and Data System (BI-RADS) 5 th Edition) and recurrence-free/BC-specific survival at follow-up (Q1 2022) were addressed. Hazard ratios (HRs) for recurrence/BC-specific survival (BI-RADS a/b/c vs. d) were estimated using Cox regression analysis and adjusted for age, estrogen receptor status, human epidermal growth factor receptor 2 status, axillary lymph node status, tumor size, and complete pathological response. Results A total of 86 recurrences and 64 deaths were recorded. The adjusted models showed that patients with BI-RADS d vs. BI-RADS a/b/c had an increased risk of recurrence (HR 1.96 (95% confidence interval (CI) 0.98–3.92)) and an increased risk of BC-specific death (HR 2.94 (95% CI 1.43–6.06)). Conclusion These findings raise questions regarding personalized follow-up for BC patients with extremely dense breasts (BI-RADS d) pre-NACT. More extensive studies are required to confirm our findings.
... Likewise, Hjerkind et al. [52] used both percent and absolute VMD to measure mammographic density [52]. Further, Caglayan et al. [63] concluded that a longer duration of menopause (uninterrupted, smoother gradual) and high progesterone levels were found to cause an increase in breast density [63]. ...
... Likewise, Hjerkind et al. [52] used both percent and absolute VMD to measure mammographic density [52]. Further, Caglayan et al. [63] concluded that a longer duration of menopause (uninterrupted, smoother gradual) and high progesterone levels were found to cause an increase in breast density [63]. ...
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... 10 Therefore, determination of the risk factors that may lead to increased density in mammography and evaluation of patients with these risk factors will be important key in the early detection of breast cancer. 11 This study showed that the 27%of the women had dense breast. It is similar to that reported in Lebanon. ...
... Itis in agreement with others. 11,21 Evidence on the effect of smoking on mammographic density is controversial which might be due to timing of smoking (premenopausal or postmenopausal). 25,26 Body Mass Index (BMI) is significantly inversely associated with dense breasts. ...
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... There are limited data on an association between hyperlipidemia and breast density in the literature, and the results are inconsistent. Caglayan et al. [16] found no relationship between lipid parameters and breast density in a study of 215 postmenopausal women, of whom 40 were classified as having dense tissue and 175 were categorized as having non-dense breast tissue. An association between mammographic density and some anthropometric and biochemical parameters, such as age, body mass index, cholesterol levels, and transaminases, was reported by Jihyekim et al. [17] Boudreau et al. [18] found a correlation between statin usage and high mammographic breast density in their study, and Wei et al. [19] reported that women who had a breast cancer diagnosis had a higher LDL-cholesterol and triglyceride level and a lower HDL-cholesterol level than the healthy control group in their study. ...
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Background Early diagnosis of breast cancer is a challenging problem in high-risk patients with dense breast. The risk of breast cancer is many fold higher in dense breast as compared to nondense on one side with limited screening or diagnostic role of mammography on the other side. The aim of our study is to elaborate the role of high-resolution ultrasonography (HR-USG) as adjunct modality to overcome this limitation. Materials and Methods This is a prospective observational study conducted in the breast care clinic of a tertiary care cancer hospital. Totally, 2720 patients were enrolled for mammography. Out of these, 339 patients were reported according to Breast Imaging Reporting and Data System (BIRADS) as 0 (inconclusive) and were suggested for further evaluation by other modalities. All patients reported for mammography as BIRADS 0, were included in this study for HR-USG. Results On HR-USG, 33.4% of patients with dense breast were shown to have suspicious (BIRADS 5) lesions. 21.7% had simple cysts. Fibro adenomas and abscess were seen in 18% and in 15% of patients, respectively. Other findings were duct ectasia (4.3%) and galactocele (3.4%). 1.4% of patients were normal on HR-USG. Conclusion Our study showed HR-USG as a modality of choice that supersedes the diagnostic efficiency of mammography in patients with dense breasts thus enhances early detection and better treatment of breast cancer, decreasing mortality owning to delay in diagnosis.
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Background: Early detection of breast cancer is important in reducing mortality, morbidity, and high socioeconomic burden associated with it. Mammography is currently the primary imaging modality used as a screening tool to detect early breast cancer in women experiencing no symptoms as they are most curable in the early stage with availability of breast conservative therapies. Objective: This study aimed at determining the mammographic breast density patterns and outcome in asymptomatic women who presented for mammographic examination in Abuja. Materials and methods: This descriptive cross-sectional study comprises of 113 asymptomatic women who presented for mammographic examination at the Radiology Department of University of Abuja Teaching Hospital, Gwagwalada from March 2015 to December 2018. Two basic views (craniocaudal and mediolateral views) of the breast were obtained using EXR-650 mammographic machine. Results: The mean age of study population was 40.72 ± 10.45 years with age range of 35 and 65 years. Base on mammographic breast density, breast imaging, reporting, and data system 1 and 2 were the most prevalent. There was a positive correlation between mammographic breast density and age of respondents. This relationship was statistically significant (Pearson correlation = 0.56, P = 0.000). The mammographic outcome among asymptomatic women who had mammographic examination was negative in 69 (61.1%) women and positive in 44 (38.9%). The positive outcome noted in mammograms of women examined was: benign mass in 18 (15.9%) women; 9 (8.0%) had benign calcification; 7 (6.2%) showed architectural distortion; 5 (4.4%) was inconclusive; focal asymmetry in 3 (2.6%); and suspicious mass in 2 (1.8%). Conclusion: In this study, screening of women reveals various benign and malignant breast pathologies which necessitate early interventions.
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Objective: To evaluate the determinants of breast density in women with premature ovarian insufficiency (POI). Methods: In a cross-sectional study of 163 women with POI undergoing mammography, percent mammographic density (PMD) was evaluated by digitizing the image. PMD was correlated with age, age at menarche, age at POI, time since POI, body mass index (BMI), gestational history and hormone therapy (HT) use (duration, dose, regimen). Results: POI was diagnosed at a mean age of 32.3 ± 5.9 years. The mean age of the women at mammography was 41.3 ± 5.4 years; mean BMI was 27.4 ± 5.4 kg/m² and mean PMD was 24.3 ± 18.5. Mean PMD did not differ between the different age groups evaluated (29–39, 40–49 and 50–55 years) or between users and non-users of HT. Mean duration of HT use was 5.6 ± 4.7 years. PMD was higher in nulligravidas compared to women who had been pregnant (p = 0.0016); however, POI occurred earlier in nulligravidas (p < 0.0001). PMD correlated negatively with BMI (r = −0.27; p = 0.0005). Conclusion: In women with POI, HT use had no effect on PMD, irrespective of the duration of use, dose or regimen. Pregnancy and BMI were consistently associated with PMD, with density being greater in nulligravidas and in women with lower BMI.