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Determination of predictive factors for QoL was performed using stepwise logistic regression analysis.

Significant differences were noted for the mean values of the three domains, i.e., pain, physical, and social function (

< 0.01). Women with osteoporosis had significantly higher pain scores as compared to others. Among those with osteoporosis, the pain scores have significantly increased gradually as age increases.

Postmenopausal women with osteopenia and osteoporosis have poor QoL as compared to those with normal BMD.

Postmenopausal women with osteopenia and osteoporosis have poor QoL as compared to those with normal BMD.

Accurate prediction of adnexal tumors preoperatively is critical for optimal management of ovarian cancers. 5-Ethynyluridine manufacturer The International Ovarian Tumor Analysis Algorithms (IOTA) is a newer tool to characterize adnexal masses as benign or malignant.

This study is aimed to predict malignancy in adnexal masses and differentiates benign from malignant, applying the sonography features of simple rules given by IOTA.

A prospective study was carried out at AIIMS Jodhpur for 1½ years. Women presenting with adnexal masses planned for surgery were recruited. Ultrasonography-transabdominal combined with transvaginal was done, and pelvic masses were characterized using IOTA simple rules. Patients underwent their planned surgery. Histopathology is considered the gold standard and was compared with the IOTA simple rules. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

One hundred and seventy-four women were included in the study, of which the majority (82.75%) were benign, the rest being frankly malignant or borderline cancer. The sensitivity of IOTA is 96.6%, specificity of 92.3%, PPV of 72.5%, NPV of 99.2%, where indeterminate cases were considered malignant.

IOTA simple rule is an effective tool for identifying malignant adnexal masses. It also suggests that IOTA-simple rules can be used as a diagnostic criterion for differentiating adnexal masses into benign and malignant on an out-patient department basis.

IOTA simple rule is an effective tool for identifying malignant adnexal masses. It also suggests that IOTA-simple rules can be used as a diagnostic criterion for differentiating adnexal masses into benign and malignant on an out-patient department basis.

Breast cancer is now the most common cancer among Indian women. Recent studies have suggested a possible link between risk factors like high BMI and molecular subtypes of breast cancer. Studies from Western and Asian population have shown varying relationship between post- menopausal obesity and expression of ER, PR, Her2-neu receptors in breast cancer patients.

This study was done with an aim to explore if overweight or obesity as defined by BMI and status of ER, PR and Her2-neu receptors differ in Indian pre-menopausal and post-menopausal breast cancer patients.

This is a retrospective analysis of 446 breast cancer patients treated at Mahavir Cancer Sansthan, Patna from July to December 2019. Their case records were evaluated and data regarding age, menopausal status, height, weight and ER, PR & HER2-neu receptor status were extracted for analyses.

Chi-square test was used to compare categorical variables between the pre-menopausal and post-menopausal group.

The prevalence of obesity in the poo had a higher percentage of ER/PR receptor positivity and lower percentage of Triple negative breast cancer. The percentage of Her2-neu receptor positivity was more in post-menopausal patients. A high BMI was found to be associated with a lower Her2neu positivity.

To compare the prevalence of anxiety and depression levels in patients with benign breast disease (BBD) and healthy individuals using Hospital Anxiety and Depression Scale (HADS) and Brief Patient Health Questionnaire (BPHQ).

This study includes 100 patients who were clinically suspected of having BBDs and were matched against 100 healthy age-matched controls from June 2016 and July 2018. The diagnosis of BBD was established on the basis of ultrasonography, fine needle aspiration cytology, and/or histopathology. For the diagnosis of anxiety and depression, BPHQ was used and the level of anxiety and depression was measured using the HADS. The questionnaire at both prediagnosis and at follow-up assessment after 3 months was done.

On comparing anxiety and depression using BPHQ score among cases and controls, both were significantly associated with cases than controls (

< 0.001 and

= 0.0016, respectively). On comparing anxiety and depression using HADS score, there was a significant difference (medimale patients who present with BBDs are also affected by anxiety and depression.With the cessation of estrogen and progesterone at menopause, the hormone withdrawal affects various systems in the woman's body. In earlier days, menopausal hormone therapy (HT) was prescribed for primary prevention of coronary artery disease (CAD) and osteoporosis, which were thought to be because of estrogen deprivation and epidemiologic data supported a beneficial effect of estrogen on the heart and bone. Later on, robust data from the Women's Health Initiative study comparing two HT trials demonstrated adverse outcomes in terms of excess risk of CAD, stroke, venous thromboembolism, and breast cancer. Even with risk stratification based on family history, approximately only 15% of women diagnosed with breast cancer have such a risk factor. This implies that family history will not be elicited in more than 85% of women who develop breast cancer. Literature review suggests that the prior use of conjugated equine estrogen (CEE) alone has the potential to be effective as an intervention, leading to a reduction in mortality due to breast cancer. Therefore, it is time to reevaluate the risk reduction strategies for breast cancer that are currently in practice. In terms of absolute numbers, for every 10,000 person-years of prior use of CEE alone, there would be only two fewer deaths from breast cancer and two fewer deaths secondary to its sequelae. This translates into a significant number of women in our country with a population of 1.38 billion (of which 48%, nearly 650 million, are women).