X-ray-Based 3D Virtual Histology-Adding the Next Dimension to Histological Analysis.
Mol Imaging Biol
; 20(5): 732-741, 2018 10.
Article
em En
| MEDLINE
| ID: mdl-29968183
ABSTRACT
Histology and immunohistochemistry of thin tissue sections have been the standard diagnostic procedure in many diseases for decades. This method is highly specific for particular tissue regions or cells, but mechanical sectioning of the specimens is required, which destroys the sample in the process and can lead to non-uniform tissue deformations. In addition, regions of interest cannot be located beforehand and the analysis is intrinsically two-dimensional. Micro X-ray computed tomography (µCT) on the other hand can provide 3D images at high resolution and allows for quantification of tissue structures, as well as the localization of small regions of interest. These advantages advocate the use of µCT for virtual histology tool with or without subsequent classical histology. This review summarizes the most recent examples of virtual histology and provides currently known possibilities of improving contrast and resolution of µCT. Following a background in µCT imaging, ex vivo staining procedures for contrast enhancement are presented as well as label-free virtual histology approaches and the technologies, which could rapidly advance it, such as phase-contrast CT. Novel approaches such as zoom tomography and nanoparticulate contrast agents will also be considered. The current evidence suggests that virtual histology may present a valuable addition to the workflow of histological analysis, potentially reducing the workload in pathology, refining tissue classification, and supporting the detection of small malignancies.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Interface Usuário-Computador
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Imageamento Tridimensional
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Histologia
Limite:
Animals
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Humans
Idioma:
En
Revista:
Mol Imaging Biol
Assunto da revista:
BIOLOGIA MOLECULAR
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DIAGNOSTICO POR IMAGEM
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Alemanha