Diagnostic imaging in congenital adrenal hyperplasia – how does it help?
Published on: 29th April, 2020
OCLC Number/Unique Identifier: 8586055620
The phenotypic manifestation of congenital adrenal hyperplasia (CAH) is variable, and this largely depends on the extent of 21-Hydroxylase enzyme deficiency. In non- classic CAH (NCCAH), the clinical features predominantly reflect the androgen excess rather than adrenal insufficiency. In boys, the condition may not present until much later in childhood, where the diagnosis is made following presentation with precocious puberty, features of aldosterone insufficiency, or this condition may be detected during fertility workup Imaging is generally not used in the evaluation of CAH, but may be helpful for the diagnosis, management, and follow-up of these patients. CAH can result in adrenal enlargement in both classic and non-classic forms of adrenal hyperplasia. The so-called adrenal rest tissue may be seen at several sites throughout the body, including the celiac plexus region, broad ligaments, normal ovaries, and testes. Sustained elevation of adrenocorticotropic hormone (ACTH) in patients with CAH has been postulated to cause adrenal rest cells to grow and become functionally active. The discovery of bilateral adrenal enlargement during radiologic evaluation for unrelated disease processes might serve as a mode of presentation for clinically not apparent or non- classical congenital adrenal hyperplasia (NCCAH).
Texture Analysis of Hard Tissue Changes after Sinus Lift Surgery with Allograft and Xenograft
Published on: 29th April, 2024
In the realm of dental surgery, implants are essential for replacing missing teeth. To facilitate implant placement, techniques such as bone grafting and sinus lifts are utilized to augment the volume of atrophied alveolar bone in candidates for dental implants. Typically, patients undergo a period of recovery following bone grafts before proceeding with implant placement. This study investigates the efficacy of Cone Beam Computed Tomography (CBCT) in measuring the residual bone volume and assessing bone quality after the healing phase. A texture analysis was conducted on CBCT scans from 42 patients requiring maxillary sinus lift reconstruction. These patients were categorized into two groups based on the type of grafting material used: Xenograft or allograft. The study analyzed the distribution of various texture parameters and conducted a Mann-Whitney U test to identify significant statistical differences between the groups. Results indicated non-normal distributions for specific variables such as Area_S(1,0) and S(1,0)SumOfSqs, while others like S(1,0)Entropy displayed normal distributions. The findings revealed no significant statistical differences in the primary outcomes between the xenograft and allograft groups. However, the average values of the gray shades of pixels in the allograft group were statistically significantly higher compared to the xenograft group, suggesting differences in bone texture post-procedure.
Survey of Advanced Image Fusion Techniques for Enhanced Visualization in Cardiovascular Diagnosis and Treatment
Published on: 6th March, 2025
Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.
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