Articles: surgery.
-
Radio-ulnar synostosis is a rare complication which develops following forearm trauma, the main manifestation being stiffness and leading to the loss of pronation and supination. For the patient, it is a very frustrating experience due to the impairment of the normal function of the forearm, whereas for the surgeon the treatment is difficult as, unfortunately, there is no consensus regarding the best way to approach it. Many surgical techniques and other kinds of adjuvant therapies have been developed in an effort to solve this disability. This paper presents an overview of the principal factors which contribute to the development of synostosis and the best therapeutic approach methods found in the literature.
-
Dystonia is common in Parkinson disease patients, affecting about 30% of them. Bilateral subthalamic nucleus deep brain stimulation (DBS) can sometimes lead to dystonia, but this relationship is not well understood. Our aim was to provide a better understanding of dystonia's causes and its connection to DBS. ⋯ Patients with off-dystonia before surgery tend to improve after DBS. Otherwise, DBS could have the role of "additive boost" in the process of sensitization of striato-pallidal pathways and lead to on-dystonia in particular patients.
-
Currently, the management for pituitary apoplexy (PA) has been promoted toward a more conservative approach, particularly for patients with low-grade PA scores. Our aim was to investigate trends in PA management and compare clinical presentation, therapeutic approaches, and outcomes before and after 2017, additionally to evaluate long-term outcomes in conservatively treated patients. ⋯ Although conservative management increased in the last years, surgery remains the predominant option. Patients managed conservatively experience a lower risk of permanent arginine vasopressin deficiency, and a high proportion exhibit clinically significant tumor shrinkage over time.
-
Classical biomedical data science models are trained on a single modality and aimed at one specific task. However, the exponential increase in the size and capabilities of the foundation models inside and outside medicine shows a shift toward task-agnostic models using large-scale, often internet-based, data. Recent research into smaller foundation models trained on specific literature, such as programming textbooks, demonstrated that they can display capabilities similar to or superior to large generalist models, suggesting a potential middle ground between small task-specific and large foundation models. This study attempts to introduce a domain-specific multimodal model, Congress of Neurological Surgeons (CNS)-Contrastive Language-Image Pretraining (CLIP), developed for neurosurgical applications, leveraging data exclusively from Neurosurgery Publications. ⋯ This study presents a pioneering effort in building a domain-specific multimodal model using data from a medical society publication. The results indicate that domain-specific models, while less globally versatile, can offer advantages in specialized contexts. This emphasizes the importance of using tailored data and domain-focused development in training foundation models in neurosurgery and general medicine.