Mini Screws for Improving Accuracy in Navigation-assisted Spine Surgery.

Study Design: Presentation of a surgical technique with accompanying video (Supplemental Digital Content 1, http://links.lww.com/CLINSPINE/A67) of an illustrative case.

A New Approach for Photorealistic Visualization of Rendered Computed Tomography Images.

Objective: Classical single-colored or multicolored 3-dimensional (3D) visualization of sectional images lacked in being realistic and revealed limited anatomical discrimination. Recently, a new technique called cinematic volume rendering for 3D reconstruction of computed tomography has been developed. The aim of this study was to analyze this new visualization algorithm from a technical perspective and to investigate potential benefits for neurosurgical applications.

GAVCA Study: Randomized, Multicenter Trial to Evaluate the Quality of Ventricular Catheter Placement with a Mobile Health Assisted Guidance Technique.

Background: Freehand ventricular catheter placement may represent limited accuracy for the surgeon's intent to achieve primary optimal catheter position.

Objective: To investigate the accuracy of a ventricular catheter guide assisted by a simple mobile health application (mhealth app) in a multicenter, randomized, controlled, simple blinded study (GAVCA study).

Methods: In total, 139 eligible patients were enrolled in 9 centers.

Risk Factors and Management of Incidental Durotomy in Lumbar Interbody Fusion Surgery.

Study Design: This is a retrospective study analysis.

Objective: In this retrospective study we evaluated risk factors for incidental durotomy and its impact on the postoperative course.

Summary Of Background Data: Lumbar interbody fusion (LIF) is increasingly applied for the treatment of degenerative instability.

Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage.

Background And Purpose: ABC/2 is still widely accepted for volume estimations in spontaneous intracerebral hemorrhage (ICH) despite known limitations, which potentially accounts for controversial outcome-study results. The aim of this study was to establish and validate an automatic segmentation algorithm, allowing for quick and accurate quantification of ICH.

Methods: A segmentation algorithm implementing first- and second-order statistics, texture, and threshold features was trained on manual segmentations with a random-forest methodology.