Assessment of Triangular Fibro-cartilaginous Complex Injuries of The Wrist Using High Resolution Ultrasound versus Magnetic Resonance Imaging

Background: Triangular fibrocartilage complex (TFCC) may be assessed using ultrasound (US) because of its wide availability, mobility, low cost, and lack of radiation. When it comes to TFCC imaging, MRI is the gold standard, although US can provide a more detailed picture of the disease. Objective: Comparing and contrasting the use of ultrasound (US) and magnetic resonance imaging (MRI) in the detection of triangular fibrocartilaginous complex injuries of the wrist. Patients and Methods: The study was conducted at the Radiodiagnosis Department, Zagazig University Hospital, Egypt. Wrist discomfort or reduced wrist mobility was reported by 35 individuals with a mean age of 39 ± 13.18 years old. Both radiologists who performed the ultrasound and the MRI were blinded to each other's results in order to minimize bias. Results: 82.9 % of patients showed normal ulnar variance while 11.4 % of patients showed positive variance and 5.7% with negative variance. The ultrasound detected 18 positive cases with TFCC injury with a percentage of 51.4%. The MRI detected 24 positive cases with TFCC injury with a percentage of 68.6%. The ultrasound detected TFCC cases with a sensitivity of 75%, specificity 100%, PPV 100 and NPV 64.7. Conclusion: It is very suggested that tendons and inflammation of the wrist could be examined by ultrasonography. In recent investigations, it was shown that US had the ability to identify injuries in the TFCC and intrinsic ligament

Added value of diffusion-weighted magnetic resonance imaging in characterization and staging of rectal cancer

Background: Approximately 15% of all cancers are found in the rectum. Rectal cancer is one of the most common malignant tumors in patients. According to the National Cancer Institute, it's the third most frequent cancer in males and the second most prevalent cancer in women. About 96 percent of all colon cancers are adenocarcinomas, with lymphoma, gastrointestinal stromal tumors, and carcinoid among the more uncommon malignancies.Aim of the study: to discuss the accuracy of MRI at staging cancer rectum using high-resolution MRI sequences and to give a brief review about more emerging important aspects of rectal cancer staging, such as the circumferential resection margin, extramural vascular invasion, and the staging of low rectal cancers.Patients and Methods: Our study was done in the Radiodiagnosis Department, Zagazig University Hospital, with 24 patients with primary rectal cancer referred from the Surgery Department for preoperative local staging of cancer rectum; the results of MRI were compared to pathologic findings.Results: Patients included in the study were 16 females and eight males; their ages ranged from 45 to 75 years with a mean age of 60 years. Adenocarcinoma comprised about 83.3 % of all of our cases. T3 and N1 tumors were found to be the most common stages in our cases.Conclusion: Preoperative MRI utilizing high-resolution sequences is an accurate modality for preoperative grading of rectal carcinoma, delineation of affection of mesorectal fascia, circumferential resection margin, and extramural vascular invasion

Improving Power Quality Problems of Isolated MG Based on ANN Under Different Operating Conditions Through PMS and ASSC Integration

Microgrid (MG) technologies assist the power grid in evolving to become more efficient, less polluting, and more resilient by addressing the requirements of energy users. However, several technological issues arise as a result of the unpredictability and difficulty in estimating the efficacy and regulation of the many renewable energy resources (RERs) incorporated in MGs. Two of the most significant of these issues are maintaining system stability and power quality, which necessitate to get better the performance of the MGs. The most difficult challenge, system stability, can be achieved with successful Power Management System (PMS). This paper proposes an effective PMS for an AC MG equipped with a diesel generator (DG), a permanent magnet wind generator (PMWG), and a solar photovoltaic (PV) panel Based on an adaptable Artificial Neural Network (ANN). The ANN weights are properly tuned via the Enhanced Bald Eagle Search (EBES) optimization algorithm to produce a stable system during the whole training period, achieve MG energy balance, reduce the usage of fossil fuel DG and maintain MG voltage stability. In addition, for keeping power quality, an adaptive series shunt compensator (ASSC) is described in this work, along with a developed integrative PID controller, where the latter’s controller gains are ideally set utilizing the EBES optimization algorithm to perform adaptably with self-tuning when the operational circumstances of an MG change. various cases are displayed to test the strong of offered ASSC on harmonic mitigation, dynamic voltage stabilization, reactive power control and power factor correction. Moreover, comprehensive case study based on realistic on-site location for Zafarana region, Suez Gulf region of Egypt is proposed. Taking into account The changing nature of weather-related renewable energy, actual loads states and transient faults