Sonographic evaluation with predefined specific criteria for the detection of a solid tumor component is an accurate method of preoperative discrimination between benign and malignant ovarian tumors. A serum CA 125 assay may assist in eliminating false-positive results.
Purpose
Preoperative neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) are recognized as prognostic markers of grade of gliomas. The aim of this study was to determine whether preoperative levels of NLR, PLR, and LMR differ between low- and high-grade gliomas.
Methods
Retrospective analysis of preoperative neutrophil, lymphocyte, monocyte, and platelet counts and NLR, PLR, and LMR were performed in 171 patients who underwent glioma surgery. The results were compared between low- and high-grade gliomas.
Results
Neutrophil count was significantly increased while lymphocyte count significantly decreased in high-grade gliomas (HGGs). NLR and PLR were significantly higher in HGGs but LMR was significantly reduced in HGGs. NLR and PLR correlated with glioma grade and only NLR showed highest accuracy predicting higher grade.
Conclusions
Levels of preoperative NLR value can help to evaluate disease progression and predict higher grade of glioma.
BACKGROUND:Understanding the microsurgical neuroanatomy of the brain is challenging yet crucial for safe and effective surgery. Training on human cadavers provides an opportunity to practice approaches and learn about the brain's complex organization from a surgical view. Innovations in visual technology, such as virtual reality (VR) and augmented reality (AR), have immensely added a new dimension to neuroanatomy education. In this regard, a 3-dimensional (3D) model and AR/VR application may facilitate the understanding of the microsurgical neuroanatomy of the brain and improve spatial recognition during neurosurgical procedures by generating a better comprehension of interrelated neuroanatomic structures.OBJECTIVE:To investigate the results of 3D volumetric modeling and AR/VR applications in showing the brain's complex organization during fiber dissection.METHODS:Fiber dissection was applied to the specimen, and the 3D model was created with a new photogrammetry method. After photogrammetry, the 3D model was edited using 3D editing programs and viewed in AR. The 3D model was also viewed in VR using a head-mounted display device.RESULTS:The 3D model was viewed in internet-based sites and AR/VR platforms with high resolution. The fibers could be panned, rotated, and moved freely on different planes and viewed from different angles on AR and VR platforms.CONCLUSION:This study demonstrated that fiber dissections can be transformed and viewed digitally on AR/VR platforms. These models can be considered a powerful teaching tool for improving the surgical spatial recognition of interrelated neuroanatomic structures. Neurosurgeons worldwide can easily avail of these models on digital platforms.
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