الصفحة 1
الصفحة 1
Neurosurgery : Principles and Practice
This book provides coverage of a broad range of topics in the ?eld of neurosurgery, 5 for residents and registrars in training and for recent graduates of training programs. 6 As neurosurgical training incorporates expertise from centers worldwide, there is a 7 need to have input from specialists in neurosurgery from various countries. This text 8 is a compilation by expert authors in the USA and the UK to provide information on 9 the basic knowledge and clinical management required for optimal care of neuro- 2011 surgical patients. 1 The text is an up-to-date synopsis of the ?eld of neurosurgery from American and 2 British perspectives, which covers the most common clinical conditions encountered 3 by neurosurgeons. The chapters are organized under broad topics, including inves- 4 tigative studies, perioperative care, the role of newer techniques and the management 5 of tumors, vascular and traumatic lesions. Additional topics are then covered, includ- 6 ing pediatrics, spine and peripheral nerve lesions, as well as functional neurosurgery 7 and infections. We anticipate that trainees will ?nd this information useful for certi?- 8 cation examinations and recent graduates of neurosurgical training programs can 9 utilize this text as an update of the most important neurosurgical topics.
Neuro-Oncology of CNS Tumors
Diagnosis and treatment modalities for neuro-oncologic diseases have made considerable advances in recent years. There is hardly a segment of the field of solid tumours that is experiencing such dynamic development with regard to basic scientific findings and clinical results. In the present book the world's leading experts have compiled the current practice-relevant knowledge of neuro-oncologic deseases. The book's clear structure and the uniform presentation of all chapters make this volume a valuable reference, especially for practice-oriented activities, allowing swift access to information about current treatment standards. Hence it will be of great value to both clinicians and researchers.
Minimally Invasive Neurosurgery and Neurotraumatology
Neurotraumatology patients present an enormous challenge to society. Neuros- gical management of brain and spinal cord injury has been a frustrating area, as s- gical methods, especially in moderate and severe injuries, have been limited to control of brain and spinal compression, control of intracranial pressure with its expected effect on cerebral blood flow, and structural repair of the supporting structures (skull, spine, brain and spinal cord coverings). Achieving the best outcome for the neu- traumatology patient, however, requires much more than that.
Medical Technologies in Neurosurgery
The tremendous progress evolving in medical technologies in recent years increasingly influences our daily neurological practice. Ethical aspects in the application of technologies from differing viewpoints are discussed in detail. Additionally, typical examples for the application of medical technologies in the operating room include image processing, robotic devices, and intraoperative imaging are clearly presented.
High-Grade Gliomas : Diagnosis and Treatment
This is truly an exciting time in the field of neuro-oncology, particularly in the area of hi- grade gliomas. The management of patients with high-grade gliomas has historically been one of the most challenging and disheartening fields in medicine, where failure is the rule and longevity is the exception. The jaded often state that despite purported advances in surgical and radiotherapeutic techniques and a myriad of clinical trials of medical therapies, the s- vival statistics for glioblastoma have not changed in the last three decades. The nihilism associated with these tumors is such that some practitioners still advise against treatment or even biopsy, recommending palliative care with the diagnosis based only on history and an MRI scan. If the current state-of-the-art in the diagnosis and management of high-grade gliomas was truly so bleak, there would be no reason to compile and publish a monograph on the subject. The fact is that we have recently entered an era where real progress is being made in our understanding and treatment of high-grade gliomas that is directly benefiting some patients. We are slowly but surely chipping away at this problem. One approach has exploited correlations between particular molecular markers and therapeutic response.
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ; 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I
The content of thebook covers the current state-of-the-art literature on federated learning applications for cancer research and Vclinical oncology analysis, as well as an overview of the deep learning approaches improving the current standard of care for brain lesions and current neuroimaging challenges. It is also focusing on the accepted BrainLes workshop submissions, is to provide an overview of new advances of medical image analysis in all the aforementioned brain pathologies. It brings together researchers from the medical image analysis domain, neurologists, and radiologists working on at least one of these diseases. The aim is to consider neuroimaging biomarkers used for one disease applied to the other diseases.
Brain tumor pathology : Current diagnostic hotspots and pitfalls
Since Bailey and Cushing (1926), all brain tumor classifications have been called histogenetic. The nosographic position that the tumor types progressively acquired in the classification systems derived from the resemblance of tumor cells to those of the cytogenesis, modified whenever new information became available from different biological research fields and especially from molecular genetics. Classically, on the basis of the rough correspondence between the mature/immature aspect of tumor cells and the benign/malignant biological behavior of the tumors, the histological labels contained a prognostic significance. The supposed origin of the tumors was thus a factor for prognosis. Later on, with the concept of anaplasia (Cox, 1933; Kernohan et al., 1949) new criteria were introduced for establishing the malignancy grades of tumors. Immunohistochemistry and later molecular genetics further refined the prognostic diagnoses, substantially increasing the opportunities to recognize the cell origin of tumors, beside revealing the pathogenetic mechanisms. Prognoses became more accurate, as required by the greater and more targeted possibilities of therapy.
Advances and technical standards in neurosurgery : Vol. 32
This volume of Advances and Technical Standards in Neurosurgery covers some important new developments in functional neurosurgery and endovascular therapy. In the Technical Standards section a variety of topics are considered, including optic pathway gliomas, pineal lesions, cavernous sinus meningiomas, and the eternal problem of minor and repetitive head injury. Endovascular treatment of a variety of lesions is now common practice, and the state of the art in endovascular treatment for acute ischemic stroke is reviewed. An appraisal of the evidence on whether there is a place for microsurgical vascular decompression for essential hypertension raises interesting questions.
3D Segmentation for medical images (OsteoVision) = التقطيع ثلاثي الأبعاد للصور الطبية
With the increasing integration of AI across various sectors, artificial intelligence (AI) is already playing a significant role in the healthcare industry, and its use is expected to grow further. AI systems used in image processing and computer vision algorithms have shown a significant ability to perform many operations such as segmentation, classification, and detection. This project presents the application of computer vision algorithms in the field of medical imaging for diagnostic, therapeutic, and interventional purposes. This thesis explores the use of several computer vision algorithms to address different pathologies, specifically brain tumors (glioma) (see Appendix A) and knee osteoarthritis (OA), as well as tracking the progression of knee osteoarthritis using the Kellgren and Lawrence (KL) grading system, a common method for classifying the severity of OA into five grades. To achieve the desired impact, the project employs various techniques, including 3D segmentation for brain tumors, 2D segmentation for knee joints, and multinomial classification for determining the severity of knee OA injuries. The primary aims of the project are to enhance diagnostic accuracy, assist in creating treatment plans, provide an assistive tool for healthcare providers to make more informed decisions, leverage AI's capabilities to detect abnormalities that might escape the human eye, and streamline workflow. To facilitate these goals, the project incorporates a user-friendly UI, a website, and a Flutter-based mobile application, enabling healthcare providers to efficiently integrate these tools into their practice and improve patient care.
