Abstract
In primary hyperparathyroidism, one or more of the parathyroid glands are either enlarged or hyperactive. While medical management is possible for selected patients, surgical excision remains the only definitive treatment. Recently, improved radiographic techniques have fostered the widespread adoption of minimally invasive parathyroidectomy (MIP). Patients undergoing MIP benefit from improved cosmesis, reduced post-operative pain, a shorter length of stay, and a quicker return to pre-operative activity level. MIP is possible due to accurate pre- and intra-operative sestamibi localization of the overactive parathyroid glands, resulting in a more targeted operation. In this review of radioguided MIP, we detail the indications, operative technique, special situations, and look toward the future.
Keywords: Parathyroidectomy, hyperparathyroidism, parathyroid glands, radiographic techniques, Ectopic Glands, Hereditary Disease
Call for Papers in Thematic Issues
Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging
Multispectral and hyperspectral imaging is an interdisciplinary research area, widely focuses on spectral, spatial, and temporal data. It offers a plethora of opportunities to efficiently analyze the vast area of the earth's surface. However, there are numerous factors such as dimensionality and size of the hyperspectral data, lesser training samples, ...read more
Machine and Deep Learning in Medical Image Diagnosis
Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ...read more
Quantum Machine Learning for Medical Data and Imaging
Quantum computing has promised a significant speedup in certain computationally intensive tasks that are intractable on classical computers. Researchers in quantum machine learning, such as those working in computer vision, image processing, biomedical analysis, and related topics, may play an important role in comprehending and working on complicated medical data, ...read more
1