Outcomes of reconstructive techniques in breast cancer using BCCT. core software.

BACKGROUND: Surgery remains a priority for breast cancer treatment. This study aimed to compare the cosmetic outcomes of oncoplastic patients who had undergone breast-conserving surgery, mini-LDF (latissimus dorsi flap), and immediate implant reconstruction using both the Japanese scale and the BCCT.core (The Breast Cancer Conservative Treatment cosmetic results software) program and to validate this program. PATIENTS AND METHODS: Patients who underwent surgery for breast cancer between 1997 and 2021 were retrospectively studied. Patients were divided into three groups: 1-those who had undergone breast-conserving surgery (245 patients, 71.3%), 2-those who had undergone mini-LDF after lumpectomy (38 patients, 11.02%), and 3- those who underwent reconstruction with implants after nipple-sparing mastectomy (61 patients, 17.68%). The patients were called for a follow-up examination, and their photos were taken. The photographs were shown to an independent breast surgeon and a plastic surgeon who was not included in the surgeries, and they were asked to evaluate and rate them according to the Japanese cosmetic evaluation scale. The same images were transferred to the computer and scored using BCCT.core. RESULTS: The plastic and breast surgeon evaluation results showed no significant difference between the three cosmetic techniques (p = 0.99, 0.98). The results of BCCT.core software measurements were similar to the results of plastic and breast surgeons (p: 0.43). CONCLUSION: Patients are more knowledgeable about cosmetic outcomes and expect more objective data. In this study, we used 3 different cosmetic evaluation scales. We found that these techniques give results that are compatible with each other in terms of evaluating the work done in a more concrete way. For this reason, we recommend the use of such software, which offers objective results in a subjective field such as aesthetics and is very easy to apply.

The Relationship of Pathological Response and Visceral Muscle and Fat Volume in Women With Breast Cancer Who Received Neoadjuvant Chemotherapy.

Objective: Differences in individual muscle/fat volumes may change the effectiveness of chemotherapy. In this study, the relationship between trunkal muscle and fat volume and body mass index (BMI) obtained before receiving neoadjuvant chemotherapy (NCT) in patients with breast cancer and complete pathological response (pCR) was investigated. Materials and Methods: The volumes of psoas, abdominal and paraspinal muscles, and trunkal subcutaneous and visceral fat were calculated using CoreSlicer AI 2.0 opensource program from the F-18 fluorodeoxyglucose positron emission tomography/computed tomography (CT) and CT images before NCT and postoperative pCR rates to NCT were recorded. Muscle/fat volumes and BMI prior to NCT were compared in terms of pathological pCR rates. Patients were followed up regularly for recurrence and survival. Results: Ninety-three patients were included with median (range) values for age, BMI, and body weights of 48 (28-72) years, 27 (16.8-51.6) kg/m2, and 71.94 (43-137) kg, respectively. The median follow-up time was 18.6 (6.7-59.6) months. No significant correlation was found between total muscle or fat volumes of patients with and without pCR. BMI [26.2 (16.8-51.6) kg/m2 vs. 24.6 (20.3-34.3) kg/m2, p = 0.03] and pCR rates in patients with low right-psoas muscle volume [11.74 (7.03-18.51) vs. 10.2 (6.71-13.36), p = 0.025] were significantly greater. A significant relationship was found between right psoas muscle volume and disease-free survival (DFS) (11.74 cm3 (7.03-18.51) vs. 10.2 cm3 (6.71-13.36), p = 0.025). However, no significant relationship was detected between total muscle-fat volume, BMI and overall survival and DFS (p>0.05). Conclusion: This is the first published study investigating the relationship between the pCR ratio and body muscle and fat volume measured by CoreSlicer AI 2.0 in patients with breast cancer who received NCT. No correlation was found between the pCR ratio and total muscle plus fat volume. However, these results need to be validated with larger patient series.

MCM-2 Levels as a Potential Biomarker for Predicting High-Risk Breast Cancer Patients According to TAILORx Classification.

Background: The minichromosome maintenance protein-2 (MCM-2) is a more sensitive proliferation marker than Ki-67. This study aimed to evaluate the relationship between MCM-2 and Oncotype DX recurrence score (ODX-RS) and determine an MCM-2 cutoff value in high-risk patients according to TAILORx risk categorization. Methods: Hormone receptor (HR) positive HER-2 negative early-stage breast cancer patients (pT1-2, pN0-N1, M0) who had ODX-RS were included in the study. According to the TAILORx trial, patients were divided into two groups with high (ODX-RS ≥26) and low risk (ODX-RS <26) in terms of ODX-RS. Formalin-fixed-paraffin-embedded tissues of patients were re-evaluated, and 3 µm sections were prepared for MCM-2 immuno-histochemical staining. The relationship between ODX-RS and the percentage of MCM-2 staining was evaluated in two groups. The ROC curve analysis was performed to determine the MCM-2 cut-off value for the TAILORx high-risk group (ODX-RS ≥26). Results: The mean MCM-2 value was significantly higher in the high-risk group [(60.2 ± 11.2 vs 34.4 ± 13.8, p < 0.001)]. In the multivariate analysis, MCM-2 (OR: 1.27, 95% CI: 1.08-1.49, p = 0.003) and progesterone receptor (PR) levels ≤10% (OR: 60.9, 95% CI: 4.1-89.7, p = 0.003) were found to be independent factors indicating a high-risk group. A one-unit increase in MCM-2 level increased the likelihood of being in the high-risk group by 1.27 times. In the ROC curve analysis, the optimal MCM-2 cut-off level was 50 (AUC: 0.921, sensitivity: 86.7%, specificity: 96.0%, p < 0.001). Conclusion: Our study is the first study in the literature to investigate the relationship between ODX-RS and MCM-2 levels in HR-positive HER-2 negative early breast-cancer patients. In this study, MCM-2 was an independent risk factor in identifying high-risk patients according to TAILORx risk classification. MCM 2 cut-off value (50) may help the decision on adjuvant chemotherapy in patients where the Oncotype DX test cannot be performed.

Evaluation of Anti-Mullerian Hormone Levels, Antral Follicle Counts, and Mean Ovarian Volumes in Chemotherapy-Induced Amenorrhea among Breast Cancer Patients: A Prospective Clinical Study.

Estradiol (E2), a follicle-stimulating hormone (FSH), AMH, and inhibin B levels, along with AFC and MOV, are used to determine ovarian reserve in pre-menopausal women. Studies have shown that AMH levels are more sensitive than those of E2, FSH, and inhibin B and that AFC and MOV can be used to evaluate ovarian reserve. AMH, AFC, and MOV measurements were performed before and after adjuvant SC in 3-month periods for one year. Patients were classified as experiencing chemotherapy-induced amenorrhea (CIA) if they did not have menstrual cycles for a period of six months or longer following the conclusion of their chemotherapy treatment. We aimed to evaluate the factors affecting chemotherapy-induced amenorrhea in breast cancer patients treated with adjuvant chemotherapy and the performance of baseline measurements of AMH, AFC, and MOV to predict chemotherapy-induced amenorrhea. The effects of different chemotherapy regimens on the AMH level, AFC, and MOV in CIA patients were investigated. Seventy-one patients were eligible for this study, and the median age was 38 years (range: 23-45). The median follow-up was 37 months (range: 20-51), and CIA developed in 62% of the patients. The AMH level and AFC were significantly decreased one year after SC (p < 0.0001), whereas MOV was not (p = 0.507). AMH levels before chemotherapy (median: 1.520 vs. 0.755, p = 0.001) and at the end of the first year (median: 0.073 vs. 0.010, p = 0.030) and pre-treatment AFC (median: 12 vs. 4.50, p = 0.026) were lower in patients with CIA compared to those without CIA. The AMH levels before SC were the most valuable and earliest factor for predicting CIA development. In addition, there was no difference between the chemotherapy regimens (including or not including taxane) in terms of CIA development.