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  1. Maulana SAA, Alwi SHE, Hashim MS, Rohim RAA
    Oman Med J, 2023 Nov;38(6):e576.
    PMID: 38269208 DOI: 10.5001/omj.2023.66
    We present a rare case of congenital thoracic aortic aneurysm (TAA) complicated with dissection in a nine-year-old girl with Noonan syndrome and atrial septal defect. She presented with rapid breathing and upper respiratory tract symptoms. Chest X-ray revealed a huge upper mediastinum with cardiomegaly. Echocardiogram showed possible ascending TAA. Computerized tomography angiogram of the aorta revealed huge aortic root-ascending TAA with small aortic dissection. Despite immediate treatment, the patient passed away due to severe airway compromise.
  2. Ahmad WMAW, Noor NFM, Shaari R, Nawi MAA, Ghazali FMM, Aleng NA, et al.
    J Craniofac Surg, 2021 Jun 01;32(4):1500-1503.
    PMID: 33852515 DOI: 10.1097/SCS.0000000000007435
    ABSTRACT: Oral and maxillofacial fractures are the most common injuries among multiple trauma. About 5% to 10% of trauma patients having facial fractures. The objectives of this case study are to focus the most common mid-face fractures types' and to determine the relationship of the midface fracture in maxillofacial trauma among the patient who attended the outpatient clinic in a Hospital Universiti Sains Malaysia. In this research paper, an advanced statistical tool was chosen through the multilayer perceptron neural network methodology (MLPNN). Multilayer perceptron neural network methodology was applied to determine the most associated predictor important toward maxillary bone injury. Through the predictor important classification analysis, the relationship of each bone will be determined, and sorting according to their contribution. After sorting the most associated predictor important toward maxillary bone injury, the validation process will be applied through the value of training, testing, and validation. The input variables of MLPNN were zygomatic complex fracture, orbital wall fracture, nasal bone fracture, frontal bone fracture, and zygomatic arch fracture. The performance of MLPNN having high accuracy with 82.2%. As a conclusion, the zygomatic complex fracture is the most common fracture trauma among the patient, having the most important association toward maxillary bone fracture. This finding has the highest potential for further statistical modeling for education purposes and the decision-maker among the surgeon.
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