A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma

DSpace/Manakin Repository

A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma

Citable link to this page


Title: A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma
Author: Onozato, Maristela L.; Klepeis, Veronica E.; Yagi, Yukako; Mino-Kenudson, Mari

Note: Order does not necessarily reflect citation order of authors.

Citation: Onozato, Maristela L., Veronica E. Klepeis, Yukako Yagi, and Mari Mino-Kenudson. 2012. “A Role of Three-Dimensional (3D)-Reconstruction in the Classification of Lung Adenocarcinoma.” Analytical cellular pathology (Amsterdam) 35 (2): 79-84. doi:10.3233/ACP-2011-0030. http://dx.doi.org/10.3233/ACP-2011-0030.
Full Text & Related Files:
Abstract: Background:: Three-dimensional (3D)-reconstruction from paraffin embedded sections has been considered laborious and time-consuming. However, the high-resolution images of large object areas and different fields of view obtained by 3D-reconstruction make one wonder whether it can add a new insight into lung adenocarcinoma, the most frequent histology type of lung cancer characterized by its morphological heterogeneity. Objective:: In this work, we tested whether an automated tissue sectioning machine and slide scanning system could generate precise 3D-reconstruction of microanatomy of the lung and help us better understand and define histologic subtypes of lung adenocarcinoma. Methods:: Four formalin-fixed human lung adenocarcinoma resections were studied. Paraffin embedded tissues were sectioned with Kurabo-Automated tissue sectioning machine and serial sections were automatically stained and scanned with a Whole Slide Imaging system. The resulting stacks of images were 3D reconstructed by Pannoramic Viewer software. Results:: Two of the four specimens contained islands of tumor cells detached in alveolar spaces that had not been described in any of the existing adenocarcinoma classifications. 3D-reconstruction revealed the details of spatial distribution and structural interaction of the tumor that could hardly be observed by 2D light microscopy studies. The islands of tumor cells extended into a deeper aspect of the tissue, and were interconnected with each other and with the main tumor with a solid pattern that was surrounded by the islands. The finding raises the question whether the islands of tumor cells should be classified into a solid pattern in the current classification. Conclusion:: The combination of new technologies enabled us to build an effective 3D-reconstruction of resected lung adenocarcinomas. 3D-reconstruction may help us refine the classification of lung adenocarcinoma by adding detailed spatial/structural information to 2D light microscopy evaluation.
Published Version: doi:10.3233/ACP-2011-0030
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4605532/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:23993560
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)


Search DASH

Advanced Search