Operative Neurosurgery 29:860–864, 2025
This study evaluates integrating the Zeiss CONVIVO confocal laser endomicroscopy interface into the operative microscope heads-up display to allow simultaneous visualization of the surgical field and real-time confocal laser endomicroscopy (CLE) images. A randomized cohort of 22 intra-axial tumor surgeries showed shorter CLE usage times, fewer total captures, and a trend toward higher usable-image proportion with heads-up integration.
The integration improved intraoperative ergonomics by reducing probe motion artifacts and image noninterpretability, streamlining workflow, and decreasing operative time while preserving diagnostic utility of CLE for margin assessment in gliomas and other brain lesions.
Confocal Laser Endomicroscopy (CLE): Provides real-time, in vivo microscopic imaging of brain tumors during neurosurgery, enabling identification of tumor margins without the need for traditional tissue extraction or frozen section analysis.
Zeiss CONVIVO® System: A CLE device recently introduced in neurosurgery, proven reliable for both ex vivo and in vivo applications, and undergoing further clinical refinement.
Technical Challenge: Standard CLE use requires the surgeon to shift attention from the operative field to a separate screen to assess image quality, potentially causing motion artifacts, prolonging surgery, and increasing the number of unusable images.
Heads-Up Display Integration: Visualization of the CONVIVO® interface was integrated as a picture-in-picture display inside the operative microscope, allowing simultaneous monitoring of the surgical field and CLE images without diverting gaze.
Study Findings: Use of the heads-up display significantly reduced CLE employment time (mean 61.1 vs. 201.6 seconds; P = .01), decreased the total number of images acquired, and increased the proportion of usable images, though the latter was not statistically significant (P = .06).
Workflow Efficiency: Direct intraoperative feedback enabled by the heads-up display led to fewer motion artifacts, more efficient image acquisition, and reduced overall operative time.
Clinical Implications: The integration supports more efficient and accurate intraoperative tumor assessment, potentially improving the extent of resection, especially in gliomas, and reducing reliance on frozen sections.
Limitations and Future Directions: Further refinement is needed for effortless image acquisition; artificial intelligence for artifact reduction and real-time interpretation by neurosurgeons are potential future improvements.




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