| Literature DB >> 29341375 |
Hiroya Mizutani1, Satoshi Ono1, Tetsuo Ushiku2, Yotaro Kudo1, Masako Ikemura2, Natsuko Kageyama1, Nobutake Yamamichi1, Mitsuhiro Fujishiro1,3, Takao Someya4,5,6, Masashi Fukayama2, Kazuhiko Koike1, Hiroshi Onodera4,5.
Abstract
Although high-resolution three-dimensional imaging of endoscopically resected gastrointestinal specimens can help elucidating morphological features of gastrointestinal mucosa or tumor, there are no established methods to achieve this without breaking specimens apart. We evaluated the utility of transparency-enhancing technology for three-dimensional assessment of gastrointestinal mucosa in porcine models. Esophagus, stomach, and colon mucosa samples obtained from a sacrificed swine were formalin-fixed and paraffin-embedded, and subsequently deparaffinized for analysis. The samples were fluorescently stained, optically cleared using transparency-enhancing technology: ilLUmination of Cleared organs to IDentify target molecules method (LUCID), and visualized using laser scanning microscopy. After observation, all specimens were paraffin-embedded again and evaluated by conventional histopathological assessment to measure the impact of transparency-enhancing procedures. As a result, microscopic observation revealed horizontal section views of mucosa at deeper levels and enabled the three-dimensional image reconstruction of glandular and vascular structures. Besides, paraffin-embedded specimens after transparency-enhancing procedures were all assessed appropriately by conventional histopathological staining. These results suggest that transparency-enhancing technology may be feasible for clinical application and enable the three-dimensional structural analysis of endoscopic resected specimen non-destructively. Although there remain many limitations or problems to be solved, this promising technology might represent a novel histopathological method for evaluating gastrointestinal cancers.Entities:
Keywords: 3-D imaging; gastrointestinal Tract; laser scanning microscopy
Mesh:
Year: 2018 PMID: 29341375 DOI: 10.1111/pin.12627
Source DB: PubMed Journal: Pathol Int ISSN: 1320-5463 Impact factor: 2.534