Pectoralis muscle index might be a factor associated with frailty in older women with breast cancer.

BACKGROUND: To investigate the possible relationship between pectoralis muscle (PM) measurement and frailty in older women with breast cancer (BC) (preoperatively defined as stage 1, 2, and 3 diseases). METHODS: This retrospective, observational study was conducted at Konya Training and Research Hospital between June and December 2020. A total of 102 patients [median age 62.5 years, median follow-up period two years] were included in the study. PM measurements were obtained from thorax computerized tomography (CT). Pectoralis muscle index (PMI) was calculated by dividing the PM area by the height square of the patients (cm2/m2). Pectoralis muscle density (PMD) was evaluated using CT findings, including their Hounsfield Units (HU). Frailty status and sarcopenia-risk assessments were done by a telephone interview in September 2020 using the FRAIL index (categorized as robust or nonrobust) and SARC-F questionnaire (classified as no sarcopenia-risk or risk of sarcopenia), respectively. PM measurements were compared between robust and nonrobust patients and between patients with a risk of sarcopenia and no sarcopenia risk. RESULTS: The nonrobust patients had lower pectoralis major muscle index (PMaMI) (p = 0.041) and pectoralis major muscle density(PMaD) (p = 0.020) levels than robust patients in the whole study sample. PMI (p = 0.017) and PMaMI (p = 0.010) levels were significantly lower in the nonrobust patients than in robust patients with early-stage BC. Frailty status was positively correlated with age (rho: 0.621; p < 0.001), BC stage (rho: 0.220; p = 0.026), and SARC-F score (rho: 0.747; p < 0.001), and negatively correlated with PMaMI (rho: -0.197; p = 0.047) and PMaD (rho: -0.237; p = 0.016). There were significant associations between PMaMI (OR: 0.467, 95% Confidence Interval (CI): 0.226-0.962 p = 0.039) and PMI (OR: 0.543, 95% CI: 0.299-0.986 p = 0.045) levels with frailty status (being nonrobust) in regression models. DISCUSSION: In the study, it has been shown that pectoralis muscle assessment might be a related parameter to frailty in older women with breast cancer.

Results of Excision of Unknown Papillary Neoplasms Detected on Core Biopsy.

OBJECTIVE: This study aimed to find out valuable parameters that predict the nature of breast papillary lesions before excision, and we compared our results with those in the literature. MATERIALS AND METHODS: We reviewed the medical records and pathology slides of patients diagnosed with papillary neoplasm after undergoing a core-needle biopsy between 2010 and 2020, who, subsequently, underwent surgical excision in a single tertiary care institution. The core biopsy results and pathology results of excision materials were compared with the radiological, pathological, and demographic findings. RESULTS: A total of 51 patients were included in the study. According to the excision results, the patients were divided into two groups: the atypical group, which included 20 patients (39.3%), and the benign group, which included 31 patients (61.7%). The results of the core biopsy showed that the loss of myoepithelial cell layer was identified in 18 patients in the atypical group, while it was present in all patients in the benign group. Tumor sizes were larger and patient ages were older in the atypical group compared with the benign group. No significant difference was found between atypical and benign groups in terms of breast imaging-reporting and data system (BI-RADS) classification and location (right vs left; central vs peripheral). The upgrade rate was between 0% and 16% in literature, while it was 4% in our study. CONCLUSION: There is no consensus on whether patients diagnosed with papillary neoplasia as a result of core biopsy will undergo excision. According to our results, patients with following criteria should have their lesions excised: those who are advanced in age, those who are diagnosed with a papillary lesion as a result of core biopsies with loss of myoepithelial cell layer, and those who are diagnosed with large-sized lesions without loss of myoepithelial cell layer. Patients diagnosed with small-sized lesions without loss of myoepithelial cell layer and who are young in age are to be followed up without the need for lesion excision. The lesions should be adequately sampled.

Evaluation of Ovaries in Patients with Polycystic Ovary Syndrome using Shear Wave Elastography.

BACKGROUND: Shear wave electrography (SWE) is a novel non-invasive imaging technique which demonstrate tissue elasticity. Recent research evaluating the elasticity properties of normal and pathological tissues emphasize the diagnostic importance of this technique. AIMS: Polycystic ovarian syndrome (PCOS), which is characterized by menstrual irregularity, hyperandrogenism, and polycystic overgrowth, may cause infertility. The aim of this study was to evaluate the elasticity of ovaries in patients with PCOS using SWE. METHODS: 66 patients diagnosed with PCOS according to the Rotterdam criteria (PCOS = group I) and 72 patients with non-PCOS (Control = group II), were included in the study. Demographic and clinical characteristics of the participants were recorded. Ovarian elasticity was assessed in all patients with SWE, and speed values were obtained from the ovaries. The elasticity of the ovaries was compared between the two groups. RESULTS: While there were statistically significant differences between the groups in body mass index (BMI), right and left ovarian volumes, luteinizing hormone and testosterone levels (p<0.05), no significant differences were found between groups I and II in the velocity (for the right ovary 3.89±1.81 vs. 2.93±0.72, p=0.301; for the left ovary 2.88±0.65 vs. 2.95±0.80, p=0.577) and elastography (for the right ovary 36.62±17.78 vs. 36.79±14.32, p=0.3952; for the left ovary 36.56±14.15 vs. 36.26±15.10, p=0.903) values, respectively. CONCLUSION: We could not obtain different velocity and elastography values from the ovaries of the patients with PCOS using SWE. Therefore, further large-scale studies are needed to elucidate this issue.