UNASSIGNED: The objective of the study was to use a deep learning model to differentiate between benign and malignant sentinel lymph nodes (SLNs) in patients with breast cancer compared to radiologists\' assessments.Seventy-nine women with breast cancer were enrolled and underwent lymphosonography and contrast-enhanced ultrasound (CEUS) examination after subcutaneous injection of ultrasound contrast agent around their tumor to identify SLNs. Google AutoML was used to develop image classification model. Grayscale and CEUS images acquired during the ultrasound examination were uploaded with a data distribution of 80% for training/20% for testing. The performance metric used was area under precision/recall curve (AuPRC). In addition, 3 radiologists assessed SLNs as normal or abnormal based on a clinical established classification. Two-hundred seventeen SLNs were divided in 2 for model development; model 1 included all SLNs and model 2 had an equal number of benign and malignant SLNs. Validation results model 1 AuPRC 0.84 (grayscale)/0.91 (CEUS) and model 2 AuPRC 0.91 (grayscale)/0.87 (CEUS). The comparison between artificial intelligence (AI) and readers\' showed statistical significant differences between all models and ultrasound modes; model 1 grayscale AI versus readers, P = 0.047, and model 1 CEUS AI versus readers, P < 0.001. Model 2 r grayscale AI versus readers, P = 0.032, and model 2 CEUS AI versus readers, P = 0.041.The interreader agreement overall result showed κ values of 0.20 for grayscale and 0.17 for CEUS.In conclusion, AutoML showed improved diagnostic performance in balance volume datasets. Radiologist performance was not influenced by the dataset\'s distribution.

BACKGROUND: The effect of gender-affirming testosterone therapy (TT) on breast cancer risk is unclear. This study investigated the association between TT and breast tissue composition and breast tissue density in trans masculine individuals (TMIs).
METHODS: Of the 444 TMIs who underwent chest-contouring surgeries between 2013 and 2019, breast tissue composition was assessed in 425 TMIs by the pathologists (categories of lobular atrophy and stromal composition) and using our automated deep-learning algorithm (% epithelium, % fibrous stroma, and % fat). Forty-two out of 444 TMIs had mammography prior to surgery and their breast tissue density was read by a radiologist. Mammography digital files, available for 25/42 TMIs, were analyzed using the LIBRA software to obtain percent density, absolute dense area, and absolute non-dense area. Linear regression was used to describe the associations between duration of TT use and breast tissue composition or breast tissue density measures, while adjusting for potential confounders. Analyses stratified by body mass index were also conducted.
RESULTS: Longer duration of TT use was associated with increasing degrees of lobular atrophy (p < 0.001) but not fibrous content (p = 0.82). Every 6 months of TT was associated with decreasing amounts of epithelium (exp(β) = 0.97, 95% CI 0.95,0.98, adj p = 0.005) and fibrous stroma (exp(β) = 0.99, 95% CI 0.98,1.00, adj p = 0.05), but not fat (exp(β) = 1.01, 95%CI 0.98,1.05, adj p = 0.39). The effect of TT on breast epithelium was attenuated in overweight/obese TMIs (exp(β) = 0.98, 95% CI 0.95,1.01, adj p = 0.14). When comparing TT users versus non-users, TT users had 28% less epithelium (exp(β) = 0.72, 95% CI 0.58,0.90, adj p = 0.003). There was no association between TT and radiologist\'s breast density assessment (p = 0.58) or LIBRA measurements (p > 0.05).
CONCLUSIONS: TT decreases breast epithelium, but this effect is attenuated in overweight/obese TMIs. TT has the potential to affect the breast cancer risk of TMIs. Further studies are warranted to elucidate the effect of TT on breast density and breast cancer risk.

患儿　男，6岁11月龄，因“发现双侧乳房发育半年”就诊于宁夏医科大学总医院。患儿双侧乳房发育，骨龄12岁，不伴有性腺发育障碍，全外显子组测序提示15q21.2上包含CYP19A1的138 kb的拷贝数重复，结合表型及家族史，确诊为家族性男性乳房发育症，予阿那曲唑治疗4个月后患儿双侧乳房明显缩小。.

OBJECTIVE: Oncotype DX (ODX) predicts the risk of recurrence and benefits of adding chemotherapy for patients with estrogen receptor positive (ER+)/human epidermal growth factor receptor 2 negative (HER2-) early-stage breast cancer. We aimed to develop a simplified scoring system using readily available clinicopathological parameters to predict a high-risk ODX recurrence score (RS) while minimizing reproducibility issues regarding Ki-67 index evaluation methods.
METHODS: We enrolled 300 patients with ER+/HER2- early breast cancer, for whom ODX RS data were available in the test set. Using the QuPath image analysis platform, we systematically evaluated the average, hotspot, and hottest spot Ki-67 scores in the test set. Logistic regression analyses were conducted to establish a predictive scoring system for high-risk ODX RS. An independent validation set comprising 117 patients over different periods was established.
RESULTS: Factors such as age ≤ 50 years, invasive ductal carcinoma tumor type, histologic grade 2 or 3, tumor necrosis, progesterone receptor negativity, and a high Roche-analyzed Ki-67 score (> 20) were associated with high-risk ODX RS. These variables were incorporated into our scoring system. The area under the curve of the scoring system was 0.8057. When applied to both the test and validation sets with a cutoff value of 3, the sensitivity of our scoring system was 92%.
CONCLUSIONS: We successfully developed a scoring system based on the systematic evaluation of Ki-67 scoring methods. We believe that our user-friendly predictive scoring system for high risk ODX RS could help clinicians in identifying patients who may or may require additional ODX testing.

UNASSIGNED: Idiopathic granulomatous mastitis (IGM) is a benign inflammatory breast disease, commonly presented with a sensitive breast lump and developing scars. Currently, there is no definitive treatment for IGM but Antibiotics, steroids, immunosuppressive drugs or a surgical treatments are the usual options. This case series aimed to evaluate the effectiveness of cotrimoxazole in treatment of IGM as there is no clinical consensus on the best and most widely acknowledged therapeutic management for IGM.
METHODS: All IGM patients were treated by Cotrimoxazole (800 mg BD for one week), and they were assessed at a month, 3 months, and 6 months after that. The primary outcome was an improvement in presenting complaints and symptoms such as palpable mass, bulging, pain, erythema and hypersensitivity of breast skin, breast discharge and fluctuation. The secondary outcome was the refractory rate within 6 months. Number of 20 patients were included. At the baseline, participants exhibited various symptoms such as bulging, pain and erythema (100 %), breast discharge (80 %), and fluctuation (30 %). After the intervention, there was a significant decrease in the prevalence of symptoms over the study period. The prevalence of bulging and pain, erythema, discharge, and fluctuation symptoms were decreasedto 5 %, 0 %, and 0 %, respectively. The refractory rate of IGM within six months of cotrimoxazole treatment was estimated 30 %.
UNASSIGNED: In this study, the treatment approach did not involve corticosteroids and invasive procedures and the recurrence rate of IGM within the six months was lower than in similar studies that employed steroids alone or any more invasive treatments. Additionally, our study showed a high healing rate with resolution of inflammation, pain, discharge, and fluctuation. These results suggest that cotrimoxazole may be a more favorable option than high-dose corticosteroids and a comparable alternative to low-dose corticosteroids regarding recurrence rates.
CONCLUSIONS: Cotrimoxazole may be an effective treatment option for idiopathic granulomatous mastitis. However, further research is needed on different treatment options.

To evaluate the effectiveness of the combination of acupoint embedding therapy and traditional Chinese medicine dialectical treatment regimen in improving clinical symptoms, promoting tumor regression, controlling adverse reactions and complications, and enhancing patient satisfaction by comparing and analyzing the clinical data of 120 breast tumor patients. One hundred twenty patients with breast cancer were divided into a treatment group (60 cases) and a control group (60 cases) according to different treatment plans. Patients in the treatment group received a combination of acupoint embedding therapy and traditional Chinese medicine dialectical treatment based on different time points of the menstrual cycle. Including the proportion of reduction in the number of breast masses, the proportion of reduction in mass size, changes in pain severity scores, tumor regression rate, regression time, incidence of adverse reactions and complications, and patient satisfaction. Statistical software was used to analyze the data to evaluate differences between the 2 groups. In terms of clinical symptoms, the proportion of reduction in the number of breast masses in the treatment group averaged 50%, significantly higher than the 25% in the control group; the proportion of reduction in mass size averaged 40%, also higher than the 15% in the control group; and the improvement in pain severity scores was also superior to the control group. Regarding tumor regression, the tumor regression rate in the treatment group reached 85%, with an average regression time of 6.2 weeks, both significantly better than the 55% and 9.8 weeks in the control group. In terms of adverse reactions and complications, the incidence rate in the treatment group was relatively low, and no serious adverse events occurred. Patient satisfaction surveys showed that the treatment group had significantly higher satisfaction with treatment effectiveness, treatment process, and physician service attitude compared to the control group. Based on clinical data from 120 breast tumor patients, the results of this study indicate that breast tumor patients treated with a specific treatment regimen have significant advantages in improving clinical symptoms, tumor regression, controlling adverse reactions and complications, and patient satisfaction. This treatment regimen has high clinical application value and deserves further promotion.

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Rosai-Dorfman-Destombes (RDD) disease is also known as sinus histiocytosis with massive lymphadenopathy. It is an uncommon heterogeneous disease of children and young adults. Most of the patients with RDD generally present with painless lymphadenopathy, while extranodal and multisystem manifestation of the disease is unusual. The diagnosis is based on the imaging with clinicopathological correlation. Flourine-18 fluorodeoxyglucose positron emission tomography/computed tomography is useful for the initial staging of the RDD lesions, which have similar appearance and avidity like intermediate and high-grade lymphomas. Here, we present the case of a 55-year-old female presented with left breast mass that turned out to be the extranodal Rosai-Dorfman disease.

Background and Objectives: Secretory carcinoma of the breast is an uncommon histological subtype of breast cancer. There is little research on this entity and only a few larger studies, which lack consensus. We aim to report a particular apocrine differentiation in this subtype and ponder upon the clinical outcome of this case. Case presentation: We report the case of a 72-year-old female patient who presented to our hospital with a suspicious breast tumor. Core biopsy and mastectomy showed a low-grade breast carcinoma, a secretory subtype with apocrine differentiation. Immunohistochemistry confirmed both the secretory nature and the apocrine nature of the tumor cells. Surgical excision was considered curative and the patient is under long-term surveillance for any recurrences. Conclusions: There is very little research on the clinical behavior of secretory carcinomas with apocrine differentiation. The clinical outcome is unknown and, unfortunately, besides surgery, no other adjuvant treatments have shown efficacy. Further studies on long-term clinical progression are required for this rare entity.