UNASSIGNED: To review the research progress related to endoscopic surgery and robotic surgery for breast diseases, aiming to provide references for clinical practice.
UNASSIGNED: The recent domestic and international literature on endoscopic surgery and robotic surgery for breast diseases was reviewed, then the challenges in their development, the innovative evolution of endoscopic surgery combined with clinical practice by our team, and its clinical applications were summarized.
UNASSIGNED: Traditional endoscopic surgery, despite its advantages such as minimal invasiveness, good cosmetic outcomes, and high patient\'s satisfaction, has been limited in its development due to specific difficulties in establishing the operative field. Our team innovatively proposed the \"reverse sequence method\" and the Huaxi Hole 1 theory and methods, cleverly altering the surgical procedure sequence, adding small operative orifices to transform single-port operations into multi-port ones, effectively overcoming the challenges restricting the advancement of endoscopic surgery in the field of breast diseases, thereby enabling further proliferation of endoscopic procedures. In terms of breast endoscopic reconstruction surgery, the parachute patch technique has broadened the indications for reconstruction surgery, benefiting patients with a certain degree of breast ptosis; and the postoperative adjustment concept, through early intervention in the post-reconstruction breast shape, has further refined the reconstruction procedure. Robot-assisted surgery derived from endoscopic surgery theory has further enhanced the precision and stability of surgeries, reducing surgical risks; however, excessive time and economic costs are urgent issues that must be addressed.
UNASSIGNED: Through theoretical innovations, endoscopic surgery has been applied in the excision and reconstruction of breast lesions, while robotic surgery shows promising applications in autologous breast reconstruction, especially in the latissimus dorsi reconstruction field. Nevertheless, the lack of high-level large-sample, multi-center randomized controlled clinical trials to confirm its surgical safety, oncological safety, and postoperative cosmetic outcomes is an important direction for future research.
UNASSIGNED: 对针对乳腺疾病开展的腔镜和机器人手术相关研究进展进行综述，为临床提供参考。.
UNASSIGNED: 查阅近年来国内外乳腺疾病腔镜与机器人手术相关研究文献，从其发生发展的困境、本团队结合临床实践对腔镜手术的创新性演变及其临床应用等方面进行总结分析。.
UNASSIGNED: 传统腔镜手术尽管具备创伤小、美容学效果好、患者满意度高等优点，但由于建腔存在一定困难，限制了其发展。本团队创新性提出“逆序法”、辅助孔等理论与方法，通过改变手术操作顺序、增加微小辅助孔将单孔操作变成多孔操作等技巧，解决了制约腔镜手术在乳腺疾病领域进展的困难，有利于腔镜手术普及并推广。在乳腺腔镜假体重建手术方面，降落伞补片法拓宽了其适应证，使乳房具备一定下垂度患者也能获益；而术后调整思想通过对重建术后乳房外形的早期干预，进一步完善了重建手术的美容学效果。源于腔镜手术理论的机器人手术进一步提升了手术精准度和稳定性，降低了学习难度，然而时间成本和经济成本过度消耗是当前需要解决的问题。.
UNASSIGNED: 经过理论创新，腔镜手术已普遍适用于乳腺疾病领域的肿物切除和全乳切除后重建，沿用其理论的机器人手术在乳房重建方面可以进一步降低学习难度，但目前仍缺少高水平大样本、多中心的随机对照临床试验验证腔镜及机器人乳腺手术的外科学安全性、肿瘤学安全性以及术后美容学效果，这也是后续研究的重要方向。.

BACKGROUND: Breast cancer awareness is a concept suggesting that awareness of signs and symptoms and early seeking of medical advice may decrease mortality, especially in limited resource settings.
METHODS: A modified questionnaire based on the breast cancer awareness measure (BCAM) by Cancer Research UK was translated into Greek and used for the first time. Participants were women residing in a rural border area in Greece. For statistical analysis the χ2 goodness-of-fit and Cramer\'s V test for categorical comparisons were used and Cronbach\'s alpha for reliability analysis.
RESULTS: In total, 110 women filled out and returned the questionnaire. Respondents appeared to be inappropriately informed regarding the less common warning signs of breast cancer, the most common age of breast cancer occurrence, the national screening program, and the less important risk factors of breast cancer. On the other hand, most women appeared to be confident in recognizing breast changes and seeking medical advice if needed.
CONCLUSIONS: The translated modified BCAM tool can be used to evaluate breast cancer awareness in Greek women. Future campaigns developed by policymakers should focus on improving breast cancer awareness, especially in socioeconomically deprived areas.

We aimed to construct and validate a multimodality MRI combined with ultrasound based on radiomics for the evaluation of benign and malignant breast diseases. The preoperative enhanced MRI and ultrasound images of 131 patients with breast diseases confirmed by pathology in Aerospace Center Hospital from January 2021 to August 2023 were retrospectively analyzed, including 73 benign diseases and 58 malignant diseases. Ultrasound and 3.0 T multiparameter MRI scans were performed in all patients. Then, all the data were divided into training set and validation set in a 7:3 ratio. Regions of interest were drawn layer by layer based on ultrasound and MR enhanced sequences to extract radiomics features. The optimal radiomic features were selected by the best feature screening method. Logistic Regression classifier was used to establish models according to the best features, including ultrasound model, MRI model, ultrasound combined with MRI model. The model efficacy was evaluated by the area under the curve (AUC) of the receiver operating characteristic, sensitivity, specificity, and accuracy. The F-test based on ANOVA was used to screen out 20 best ultrasonic features, 11 best MR Features, and 14 best features from the combined model. Among them, texture features accounted for the largest proportion, accounting for 79%.The ultrasound combined with MR Image fusion model based on logistic regression classifier had the best diagnostic performance. The AUC of the training group and the validation group were 0.92 and 091, the sensitivity was 0.80 and 0.67, the specificity was 0.90 and 0.94, and the accuracy was 0.84 and 0.79, respectively. It was better than the simple ultrasound model (AUC of validation set was 0.82) or the simple MR model (AUC of validation set was 0.85). Compared with the traditional ultrasound or magnetic resonance diagnosis of breast diseases, the multimodal model of MRI combined with ultrasound based on radiomics can more accurately predict the benign and malignant breast diseases, thus providing a better basis for clinical diagnosis and treatment.

Background and Objectives: The association between endometriosis and breast cancer still remains controversial. The aim of this study was to investigate the different subtypes of breast cancer, immunohistochemical markers, hormone receptors, and ki67 proliferation indexes in patients with and without endometriosis and/or adenomyosis. Materials and Methods: All patients with endometriosis and breast cancer were enrolled. Women with endometriosis and breast cancer (Group BC+EN+) were compared to patients with breast cancer without endometriosis (group BC+EN-) and those with endometriosis without breast cancer (group BC-EN+). General population characteristics and histological and immunohistochemical subtypes of breast cancer were compared between groups. Results: Our study included 41 cases affected by both endometriosis and/or adenomyosis and breast cancer (Group BC+EN+) that were matched (1:2) with 82 patients affected only by breast cancer (group BC+EN-) and 82 patients affected only by endometriosis and/or adenomyosis (group BC-EN+). Group BC+EN+ presented a higher percentage of ER receptor expression (83% vs. 70%, p = 0.02), as well as lower values of Ki 67% (15% vs. 24%, p < 0.0001) and HER2+ (9.8% vs. 28%, p = 0.022). These findings were more evident when comparing patients with premenopausal status, while in postmenopausal patients, this difference was no longer significant. Regarding endometriosis, no statistical differences were observed in type or specific localization of the disease among the groups with and without breast cancer. Conclusions: Patients with endometriosis presented lower aggressive breast cancer rates with higher values of ER% and lower values of Ki 67 and HER2neu+. The type and severity of endometriotic diseases seemed not to influence breast cancer occurrence.

Migration of tattoo pigment to axillary lymph nodes mimicking calcifications is a recognized phenomenon, however, pigment in an intra-mammary node masquerading as a breast mass is a rare complication of cosmetic tattoos. As the prevalence of tattooing increases among women presenting to Breastscreen, radiologists may expect to encounter this lesion mimicking a breast neoplasm. We present a 50-year-old female with extensive tattoos on her arms, chest wall and abdomen, recalled for a small calcified breast mass on her first screening mammogram. Tomosynthesis-guided vacuum-assisted biopsy demonstrated intra-mammary lymph node with abundant tattoo pigment.

Artificial Intelligence (AI) is defined as the simulation of human intelligence by a digital computer or robotic system and has become a hype in current conversations. A subcategory of AI is deep learning, which is based on complex artificial neural networks that mimic the principles of human synaptic plasticity and layered brain architectures, and uses large-scale data processing. AI-based image analysis in breast screening programmes has shown non-inferior sensitivity, reduces workload by up to 70% by pre-selecting normal cases, and reduces recall by 25% compared to human double reading. Natural language programs such as ChatGPT (OpenAI) achieve 80% and higher accuracy in advising and decision making compared to the gold standard: human judgement. This does not yet meet the necessary requirements for medical products in terms of patient safety. The main advantage of AI is that it can perform routine but complex tasks much faster and with fewer errors than humans. The main concerns in healthcare are the stability of AI systems, cybersecurity, liability and transparency. More widespread use of AI could affect human jobs in healthcare and increase technological dependency. AI in senology is just beginning to evolve towards better forms with improved properties. Responsible training of AI systems with meaningful raw data and scientific studies to analyse their performance in the real world are necessary to keep AI on track. To mitigate significant risks, it will be necessary to balance active promotion and development of quality-assured AI systems with careful regulation. AI regulation has only recently included in transnational legal frameworks, as the European Union\'s AI Act was the first comprehensive legal framework to be published, in December 2023. Unacceptable AI systems will be banned if they are deemed to pose a clear threat to people\'s fundamental rights. Using AI and combining it with human wisdom, empathy and affection will be the method of choice for further, fruitful development of tomorrow\'s senology.

Despite the higher incidence of breast cancer in older age groups, it remains pertinent not to overlook breast cancer occurrence in those aged 35 years and below. Recent transitions toward targeted under-35 clinics in England aim to enhance efficiency and meet referral standards. Three models were planned, and we assessed the efficiency of each model. This study, conducted for five months within a single National Health Service (NHS) trust, analyzed data from the following clinics: the General One-Stop Clinic, the Under 35 One-Stop Clinic with ultrasound services (USS), and the Under 35 Clinic without USS services. Of the 300 patients recruited (100 consecutive patients from each clinic), 94.3% were female. The average age at presentation was 27.53 years. The most frequently encountered age group was between 26 and 30 years, and the majority of patients had palpable lumps (78, 51.6%). Out of 300 patients who attended the clinics, 151 had USS, and of these, 15 biopsies were performed. Fibroadenomas (32, 21.2%) and cysts (22, 14.6%) were the most common radiological findings. We found that more breast imaging was being undertaken for under-35 patients who attended the general one-stop clinics compared to the specific under-35 clinics. Targeted breast clinics for individuals 35 years and below offer an effective approach in terms of resource allocation and meeting cancer targets.

The primary treatment of breast cancer in sentinel-positive ganglia includes axillary lymphatic nodal dissection. The LAD (lymphatic axillary dissection) has decreased in overall numbers but due to the increasing incidence of breast cancer, it is practised on a daily basis, even though there is a myriad of complications such as numbness of the upper limb and chest wall, movement restriction of the upper limb, and chronic pain which appear due to trauma to the nerves which pass through the axilla. However, the utility in the overall survival or DFS (disease-free survival) of the patient is unquestionable.  In our study, through the dissection of cadavers, we exposed the vital structures and the anatomical relations of this region. We aimed to offer a map or technique for the surgeon to follow to decrease the overall morbidity of this procedure.

Intraductal papillomas (IDPs) are benign tumors found within breast ducts. Clinicians should be familiar with IDPs given their association with atypical and neoplastic lesions. In our case, the patient was initially diagnosed with and treated for an abscess given clinical symptoms of breast pain, erythema, and swelling, but upon returning to the clinic a year later due to persistent symptoms, she was found to have an IDP. This case underscores the importance of atypical imaging features and close follow-up when evaluating breast lesions.

Background Breast cancer (BC) remains a significant health concern, leading to illness and death among women globally. It is essential to detect BC early using imaging techniques that accurately reflect the final pathology, guiding suitable intervention strategies. Objectives This study aimed to evaluate the agreement between radiological findings and histopathological results in BC cases. Methods We conducted a retrospective review of breast core needle biopsies (CNBs) in women over a six-year period (2017-2022) at Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. The pathological diagnoses were compared with the findings from preceding radiological investigations. We also compared the tumour sizes in the resection specimens with their radiological counterparts. Results A total of 641 cases were included in the study. Ultrasound (US), mammography, and magnetic resonance imaging (MRI) yielded diagnostic accuracies of 85%, 77.9%, and 86.9%, respectively. MRI had the highest sensitivity at 72.2%, while US had the lowest at 61%. MRI provided the best agreement with the final resected tumor size. By contrast, mammography tended to overestimate the size (41.9%), and US most frequently underestimated it (67.7%). The connection between basal-like molecular subtypes and the Breast Imaging Reporting and Data System (BIRADS)-5 classifications was only statistically significant for MRI (p = 0.04). The luminal subtype was more likely to show speculation in mammography. Meanwhile, BIRADS-4 revealed a considerable number of benign pathologies across all the three modalities. Conclusions MRI demonstrated the highest accuracy, sensitivity, specificity, and positive predictive value (PPV) for diagnosing and estimating the tumor size. Mammography outperformed US in terms of sensitivity and yielded the highest negative predictive value (NPV). US, meanwhile, offered superior specificity, PPV, and accuracy. Therefore, combining these diagnostic methods could yield significant benefits.