Fibronectins (FNs), adhesive glycoproteins mainly expressed in the extracellular matrix, are polymorphic molecules whose various isoforms are dependent on alternative splicing patterns. The isoform containing the ED-B sequence and occurring in foetal and neoplastic tissues (oncofoetal or B+FN) has been previously recognized as a marker for angiogenesis. The distribution of this isoform was analyzed in a consecutive series of 134 surgically obtained intracranial meningiomas, using specific monoclonal antibodies. Oncofoetal FN was found to be widely distributed in the vessels of anaplastic meningiomas, with its expression being restricted in the vasculature of the typical subtypes. and absent in the neighbouring cerebral tissue. The ubiquitous vascular expression of B+FN in meningiomatous malignancies might provide a potential target for the in vivo delivery of angiosuppressive agents.
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http://dx.doi.org/10.1007/s007010050036 | DOI Listing |
Cureus
December 2024
Neurosurgery, Al-Azhar University, Giza, EGY.
Intradural disc herniation (IDDH) is a rare condition, accounting for less than 0.5% of herniated disc cases, primarily affecting the lumbar region and often presenting with severe nerve compression or cauda equina syndrome. This paper presents the case of a 60-year-old female with a history of hypertension, dyslipidemia, stroke, and hypothyroidism, who arrived with severe lower back pain, lower limb weakness, and urinary retention.
View Article and Find Full Text PDFObjective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.
Methods: The research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images.
F1000Res
January 2025
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Department of Neurosurgery, West China Hospital, Sichuan University, West China Hosptial, No. 37, GuoXue Alley, Chengdu, China.
This study developed and validated a deep learning network using baseline magnetic resonance imaging (MRI) to predict Ki-67 status in meningioma patients. A total of 1239 patients were retrospectively recruited from three hospitals between January 2010 and December 2023, forming training, internal validation, and two external validation cohorts. A representation learning framework was utilized for modeling, and performance was assessed against existing methods.
View Article and Find Full Text PDFElectromagn Biol Med
January 2025
Department of Computer Applications, Kalasalingam Academy of Research and Education - Deemed to be University, Krishnankoil, India.
Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. Malignant tumours can develop quickly, pass through neighboring tissues, and extend to further brain regions or the central nervous system. In contrast, healthy tumors typically develop slowly and do not invade surrounding tissues.
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