It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
In this multi-center, assessor-blinded pilot study, the diagnostic efficacy of cCeLL-Ex vivo, a second-generation confocal laser endomicroscopy (CLE), was compared against the gold standard frozen section analysis for intraoperative brain tumor diagnosis. The study was conducted across three tertiary medical institutions in the Republic of Korea. Biopsy samples from newly diagnosed brain tumor patients were categorized based on location and divided for permanent section analysis, frozen section analysis, and cCeLL-Ex vivo imaging. Of the 74 samples from 55 patients, the majority were from the tumor core (74.3%). cCeLL-Ex vivo exhibited a relatively higher diagnostic accuracy (89.2%) than frozen section analysis (86.5%), with both methods showing a sensitivity of 92.2%. cCeLL-Ex vivo also demonstrated higher specificity (70% vs. 50%), positive predictive value (PPV) (95.2% vs. 92.2%), and negative predictive value (NPV) (58.3% vs. 50%). Furthermore, the time from sample preparation to diagnosis was notably shorter with cCeLL-Ex vivo (13 min 17 s) compared to frozen section analysis (28 min 28 s) (p-value < 0.005). These findings underscore cCeLL-Ex vivo's potential as a supplementary tool for intraoperative brain tumor diagnosis, with future studies anticipated to further validate its clinical utility.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 Seoul National University Hospital, Seoul National University College of Medicine, Department of Neurosurgery, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905)
2 Seoul National University Hospital, Seoul National University College of Medicine, Department of Pathology, Seoul, Republic of Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905)
3 Korea University Hospital, Korea University College of Medicine, Department of Neurosurgery, Seoul, Republic of Korea (GRID:grid.411134.2) (ISNI:0000 0004 0474 0479)
4 Seoul National University Bundang Hospital, Department of Neurosurgery, Gyeonggi-Do, Republic of Korea (GRID:grid.412480.b) (ISNI:0000 0004 0647 3378)
5 VPIX Medical Inc, Daejeon, Republic of Korea (GRID:grid.411134.2)
6 Samsung Medical Center, Sungkyunkwan University School of Medicine, Department of Neurosurgery, Seoul, Republic of Korea (GRID:grid.264381.a) (ISNI:0000 0001 2181 989X)