Cottonoid-guided intraoperative ultrasonography in neurosurgery: a proof-of-concept single surgeon case series.
Abdullah KeleşUğur TürePublished in: Neurosurgical review (2022)
Ultrasonography was introduced into neurosurgery in the 1950s, but its successful utilization as an intraoperative tool dates from the early 1980s. However, it was not used widely because of limited technology, a lack of specific training, and, most importantly, the concurrent evolution of computerized tomography and magnetic resonance imaging. The intraoperative use of cottonoid patties as acoustical markers was first described in 1984, but the practice did not gain acceptance, and no articles have been published since. Herein, we reconsider the echogenic properties of the surgical cottonoid patty and demonstrate its usefulness with intraoperative ultrasonography (ioUS) in neurosurgical practice as a truly real-time neuronavigation tool. We also discuss its advantages and compare it with other intraoperative image guidance tools. The echogenic properties of the handmade cottonoid patties in various sizes used with ioUS are described. Details of our cottonoid-guided ioUS technique and its advantages with illustrated cases are also described. As an echogenic marker, cottonoid patties can be easily recognized with ioUS. Their usage with ultrasonography provides truly real-time anatomical orientation throughout the surgery, allowing easy access to intraparenchymal pathologies, and precise and safer resection. Cottonoid-guided ioUS helps not only to localize intraparenchymal pathologies but also to delineate the exact surgical trajectory for each type of lesion. Furthermore, it is not affected by brain shift and distortion. Thus, it is a truly real-time, dynamic, cost-effective, and easy-to-use image guidance tool. This technique can be used safely for every intraparenchymal pathology and increases the accuracy and safety of the surgeries.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- patients undergoing
- primary care
- healthcare
- computed tomography
- deep learning
- minimally invasive
- magnetic resonance
- randomized controlled trial
- squamous cell carcinoma
- systematic review
- quality improvement
- machine learning
- multiple sclerosis
- diffusion weighted imaging
- molecular dynamics
- coronary artery disease
- percutaneous coronary intervention
- surgical site infection