The role of platelet rich plasma enriched fat graft for correction of deformities after conservative breast surgery.

BACKGROUND: Fat transfer has been widely used after breast conservative surgery (BCS) where it aims to recover shapes as a simple, inexpensive, biocompatible method but the technique is not without complications. Platelet Rich Plasma (PRP) is a promising approach to enhance fat graft survival and subsequently improve the outcome. The aim of this study was to evaluate the effect of enriching fat graft with PRP for delayed correction of deformities after conservative surgery for breast cancer regarding esthetic outcome and incidence of complications. METHODS: The current study included 50 female patients who were scheduled for delayed lipofilling for correction of deformities after conservative surgery for breast cancer. The studied patients were randomly allocated into 2 groups: Group I (G I) included 25 patients scheduled for PRP enriched lipoinjection and Group II (G II) included 25 patients scheduled for lipoinjection without PRP as a control group. RESULTS: Number of sessions of lipoinjection was significantly less in G I in comparison to G II (P = 0.024). During the 2nd session; the amounts of fat injected and harvested were significantly less in G I in comparison to G II (P = 0.049 and 0.001 respectively). Recipient site complications were significantly more evident in G II in comparison to G I (P = 0.01). Surgeon and patient satisfactions were significantly more evident in GI in comparison to G II (P = 0.005 and 0.029 respectively). CONCLUSION: The addition of PRP to fat grafts is a simple, cost-effective and safe method to improve esthetic outcome and decrease complications.

Feasibility and early cosmetic outcome of modified lateral intercostal artery perforator flap after breast conservative surgery.

BACKGROUND: The lateral intercostal artery perforator (LICAP) flap aims at replacing the excised breast lump with axillary tissue rich blood supply. The purpose of this study is to report the initial results of a modification LICAP flap technique in terms of intraoperative technical feasibility and short-term cosmetic outcomes in the early postoperative period. METHODS: Modified LICAP flap technique was performed on 36 female patients with pathologically proven BC located in the outer half of the breast in the period from June 1, 2021, to April 30, 2022. RESULTS: The LICAP flap modification enabled performing the procedure with the patient in supine position without repositioning. The majority of the patients (90%) had satisfactory early cosmetic results as reported by the patients and oncoplastic independent surgeon. CONCLUSION: Modified LICAP flap reconstruction is feasible to be performed with the patient in supine position without repositioning and it has satisfactory early cosmetic outcomes.

Internet of things dataset for home renewable energy management.

Smart cities, as well as smart homes research, are becoming of concern, especially in the field of energy consumption and production. However, there is a lack in the dataset that can be used to simulate smart city energy consumption and prediction or even smart homes. Therefore, this paper provides a carefully generated dataset for smart home energy management simulation. Five datasets are generated and analysed to ensure suitability, including 20, 50, 100, and 200 homes across 365 days. For more accurate data, energy consumption and production for 50 homes are generated based on real input taken from a dataset for homes in Saudi Arabia. Due to the unavailability of a comprehensive dataset related to the complex scenario of smart home sensors, energy consumption, and peer-to-peer data exchange, synthetic data was generated to support the simulation of smart home energy generation and consumption. This synthetic data plays a crucial role in situations where simulating uncommon events, ensuring data availability, facilitating extensive experimentation and model validation, and enabling scalability are paramount. It offers a valuable opportunity to incorporate these rare yet significant occurrences into the simulation, particularly in the context of infrequent events, such as abnormal energy consumption patterns observed in smart homes. The generated data is analysed and validated in this article, ready to be used for many smart home and city research.

Emerging Sensor Communication Network-Based AI/ML Driven Intelligent IoT.

At present, the field of the Internet of Things (IoT) is one of the fastest-growing areas in terms of Artificial Intelligence (AI) and Machine Learning (ML) techniques [...].

Energy and Environment-Aware Path Planning in Wireless Sensor Networks with Mobile Sink.

With the advances in sensing technologies, sensor networks became the core of several different networks, including the Internet of Things (IoT) and drone networks. This led to the use of sensor networks in many critical applications including military, health care, and commercial applications. In addition, sensors might be mobile or stationary. Stationary sensors, once deployed, will not move; however, mobile nodes can move from one place to another. In most current applications, mobile sensors are used to collect data from stationary sensors. This raises many energy consumption challenges, including sensor networks' energy consumption, urgent messages transfer for real-time analysis, and path planning. Moreover, sensors in sensor networks are usually exposed to environmental parameters and left unattended. These issues, up to our knowledge, are not deeply covered in the current research. This paper develops a complete framework to solve these challenges. It introduces novel path planning techniques considering areas' priority, environmental parameters, and urgent messages. Consequently, a novel energy-efficient and reliable clustering algorithm is proposed considering the residual energy of the sensor nodes, the quality of wireless links, and the distance parameter representing the average intra-cluster distance. Moreover, it proposes a real-time, energy-efficient, reliable and environment-aware routing, taking into account the environmental data, link quality, delay, hop count, nodes' residual energy, and load balancing. Furthermore, for the benefit of the sensor networks research community, all proposed algorithms are formed in integer linear programming (ILP) for optimal solutions. All proposed techniques are evaluated and compared to six recent algorithms. The results showed that the proposed framework outperforms the recent algorithms.

Idiopathic granulomatous mastitis: Risk factors and management.

BACKGROUND: IGM has a diagnostic and treatment dilemma. The etiology of IGM is unknown but some conditions have been discussed as predisposing factors including Oral Contraceptive Pills, pregnancy, breast feeding, reproductive age, hyperprolactinemia, infectious and autoimmune diseases. The current study aimed to determine possible risk factors for IGM and to evaluate our experience in its management. PATIENTS AND METHODS: The study included forty patients with IGM and forty females with normal breasts as a control group. CST treatment was initiated for all patients; patients who responded completely were followed up without surgical intervention. Failure to respond to medical therapy or incidence of corticosteroid-related complications were considered indications for surgical treatment. All patients were followed up for 6 months to detect recurrence. RESULTS: IGM had a significant higher incidence rate in young females within 5 years from the last lactation, smokers, those with hypperprolactinaemia, who had a history of breast feeding and those who received OCP (P = <0.001, <0.001, 0.006, 0.001, 0.023 and 0.027 respectively). The central part of the breast was more affected (9 cases (22.5%)). Multicenteric disease affected 8 cases (20%). Breast Mass was the most common presenting sign. After CST; the mass disappeared in 5 cases (12.5%), mass size reduced in 26 cases (65%) and mass size not affected in 9 cases (22.5%). Surgery was done in whom the mass size was reduced or not affected (35 cases (87.5%)). Disease recurrence was reported in 2 cases (5.7%). CONCLUSION: IGM usually affects females in their childbearing period with multiple risk factors mainly parity, smoking, OCP and breast feeding with wide variation regarding the presenting manifestations. We should start with CST as there is always a chance to avoid unnecessary surgery and combination of both modalities can reduce the incidence of recurrence.

ERCP: Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks.

Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for sensor nodes' energy savings considering different clustering parameters, including the link quality metric, the energy, the distance to neighbors, the distance to the sink node, and the cluster load metric. The proposed routing protocol works based on the concept of a reliable inter-cluster routing technique that saves energy. The routing decisions are made based on different parameters, such as the energy balance metric, the distance to the sink node, and the wireless link quality. Many experiments and analyses are examined to determine how well the ERCP performs. The experiment results showed that the ECRP protocol performs much better than some of the recent algorithms in both homogeneous and heterogeneous networks.

Znhit1 and HIF-2α are correlated with cancer stem cell markers in breast cancer patients.

Epigenetic alterations have emerged as fundamental players in development and progression of breast cancer (BC). A hypoxic tumour microenvironment regulates the stemness phenotype in breast cancer stem cells (BCSCs). The aim of this study was to investigate Znhit1 and HIF-2α gene expression in breast cancer tissues as well as their relation to CSCs markers LGR5, ALDH1A1 and ß-catenin in tissue and serum of BC patients. The present study included 160 females divided into two groups, group I: 80 healthy females served as control group and group II: 80 breast cancer patients. Gene expression of tissue Znhit1 and HIF-2α was determined by qRT-PCR. Tissue and serum ALDH1A1, LGR5 and ß-catenin levels were determined by ELISA. We found that gene expression of Znhit1 was significantly downregulated in BC tissues. Moreover, it was significantly negatively correlated with clinical stage and ß-catenin levels in BC patients. Regarding HIF-2α, gene expression of HIF-2α was significantly upregulated in BC tissues. Moreover, it was significantly positively correlated with Her-2/neu expression and ß-catenin levels in BC patients. Based upon our results, Znhit1 and HIF-2α may serve as novel therapeutic targets for BC therapy. Additionally, each of serum ALDH1A1, LGR5 and ß-catenin may play a crucial role in non-invasive detection of BC with a high specificity and sensitivity.

The association of human cytomegalovirus with biomarkers of inflammation and immune activation in breast cancer.

BACKGROUND: The presence of human cytomegalovirus (HCMV) in breast cancer has been reported, suggesting a potential association between HCMV infection and breast carcinogenesis. OBJECTIVE: To evaluate the association between HCMV infection and immune activation and inflammatory markers in breast cancer. METHODS: HCMV DNA was detected from all patients using real-time PCR, Anti HCMV IgM and IgG antibodies were measured. IL-17 and IL-22 concentrations were detected by ELISA. Assessment of NLR and PLR was done, and cell proliferation was assessed using MTT assay. RESULTS: The results revealed a significantly increased prevalence of anti-HCMV IgG and HCMV DNA in patients compared to both benign and control groups where positive HCMV prevalence was significantly associated with vascular invasion, proliferation rate, high neutrophil-to-lymphocyte ratio (NLR), and elevated IL-17 serum level. Furthermore, we demonstrated that increased serum IL-17 in patients was markedly associated with tumor stage, vascular invasion, and high NLR. CONCLUSION: It can be concluded that HCMV infection may have vital roles in breast cancer pathogenesis. Moreover, altered peripheral blood cells and cytokines may result in disordered immune response in breast cancer patients.

Pitfalls in brain age analyses.

Over the past decade, there has been an abundance of research on the difference between age and age predicted using brain features, which is commonly referred to as the "brain age gap." Researchers have identified that the brain age gap, as a linear transformation of an out-of-sample residual, is dependent on age. As such, any group differences on the brain age gap could simply be due to group differences on age. To mitigate the brain age gap's dependence on age, it has been proposed that age be regressed out of the brain age gap. If this modified brain age gap is treated as a corrected deviation from age, model accuracy statistics such as R2 will be artificially inflated to the extent that it is highly improbable that an R2 value below .85 will be obtained no matter the true model accuracy. Given the limitations of proposed brain age analyses, further theoretical work is warranted to determine the best way to quantify deviation from normality.

Repression of protocadherin 17 is correlated with elevated angiogenesis and hypoxia markers in female patients with breast cancer.

BACKGROUND: Altered cadherin expression plays a vital role in tumorigenesis, angiogenesis and tumor progression. However, the function of protocadherin 17 (PCDH17) in breast cancer remains unclear. OBJECTIVE: Our target is to explore PCDH17 gene expression in breast carcinoma tissues and its relation to serum angiopoietin-2 (Ang-2), carbonic anhydrase IX (CAIX) and % of circulating CD34+ cells in breast cancer patients (BCPs). METHODS: This study included Fifty female BCPs and 50 healthy females as control group. Cancerous and neighboring normal breast tissues were collected from BCPs as well as blood samples at diagnosis. PCDH17 gene expression was evaluated by RT-PCR. Serum Ang-2, CAIX levels were measured by ELISA and % CD34+ cells were assessed by flow cytometry. RESULTS: PCDH17 was downregulated in cancerous breast tissues and its repression was significantly correlated with advanced stage and larger tumor size. Low PCDH17 was significantly correlated with serum Ang-2, % CD34+ cells and serum CAIX levels. Serum CAIX, Ang-2 and % CD34+ cells levels were highly elevated in BCPs and significantly correlated with clinical stage. CONCLUSIONS: PCDH17 downregulation correlated significantly with increased angiogenic and hypoxia biomarkers. These results explore the role of PCDH17 as a tumor suppressor gene inhibiting tumor growth and proliferation.