ArticleDEN open2022
New image-processing technology for endoscopic ultrasound-guided fine-needle aspiration biopsy specimen evaluation in patients with pancreatic cancer.
Article in DEN open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Near-Infrared On-Site Evaluation (NOSE) Examination of EBUS/EUSb Samples-A New Method for Sample Adequacy Evaluation.Diagnostics (Basel, Switzerland) · 2024Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: We evaluated the usefulness of a newly developed system with which the total amount of whitish cores in endoscopic ultrasound-guided fine-needle aspiration biopsy (EUS-FNAB) samples is automatically calculated (automated multiband imaging system [AMUS]). Methods: From 30 prospectively enrolled patients suspected of having pancreatic cancer, four EUS-FNAB specimens per patient were obtained. Following AMUS calculations, two specimens were prepared after stereomicroscopy-guided manual division into whitish and reddish sections (isolation group), and the other two were prepared without such division (no-isolation group). The relation of the AMUS results pertaining to the length of the manually measured whitish cores (stereo-microscopically visible white core [SVWC]) and the sample suitability for pathologic evaluation were analyzed. Results: Histological diagnostic accuracy was 90%; median SVWC length, 14 mm; and median area of whitish core calculated using the AMUS, 13 mm Conclusion: AMUS is a simple on-site verification procedure for determining the appropriate sampling tissue quantity for high diagnostic accuracy.
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