Publications by authors named "Mahasen S Al Najar"

Objective: To describe variable mullerian duct anomalies using magnetic resonance imaging (MRI) and to classify these anomalies according to the available classification systems, namely the American Fertility Society (AFS) system, the European Society of Human Reproduction and Embryology (ESHRE) system, and the new American Society for Reproductive Medicine (ASRM) system.

Design: Retrospective chart review.

Subjects: The pelvic MRI studies and the clinical records of 64 females with mullerian congenital anomalies were retrospectively reviewed between January 2010 and December 2021.

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Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS) images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD systems operate by analyzing the region-of-interest (ROI) that contains the tumor in the BUS image using conventional texture-based classification models and deep learning-based classification models. Hence, the development of these systems requires automatic methods to localize the ROI that contains the tumor in the BUS image.

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This study aims to enable effective breast ultrasound image classification by combining deep features with conventional handcrafted features to classify the tumors. In particular, the deep features are extracted from a pre-trained convolutional neural network model, namely the VGG19 model, at six different extraction levels. The deep features extracted at each level are analyzed using a features selection algorithm to identify the deep feature combination that achieves the highest classification performance.

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Purpose: To assess the usefulness of MR defecography in evaluating pelvic floor dysfunction, and to correlate several pelvic organ abnormalities with each other and with patients' symptoms and characteristics.

Methods: MR defecographic examinations performed in 3T MRI machine of 95 patients (70 females, 25 males; mean age 48) were retrospectively reviewed. Pelvic organ abnormalities from all three compartments were recorded, including the anorectal junction descent, anterior rectocele, and cystocele.

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Background And Purpose: Noncontrasted computed tomography (NCCT) is used as the initial neuroimaging test of choice for patients who present with new-onset neurological symptoms. An apparently hyperattenuated venous sinus may lead to the suspicion of cerebral venous sinus thrombosis (CVST). Improved understanding of all factors that can affect attenuation of dural sinuses can guide triage of patients to or from further investigations of suspected CVST.

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We present a case of breast pseudoaneurysm following a blunt trauma in a 58-year-old woman. Few cases of breast pseudoaneurysm have been reported in the literature, and most of these are related to previous interventional procedures. Pseudoaneurysm was suspected on real-time sonography and confirmed with color Doppler and spectral wave analysis, which revealed a characteristic to-and-fro pattern.

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Introduction: Identification of normal filling defects within the intracranial dural sinuses reduces the erroneous diagnosis of the presence of an intrasinus pathologic process. The aim of this prospective study was to assess the prevalence, distribution, and morphological characteristics of arachnoid granulations (AGs) in the dural sinuses.

Methods: This prospective study was carried out on 110 patients who had both normal conventional brain MRI and contrast-enhanced (CE) 3D turbo flash magnetic resonance venography (MRV).

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