4.4 Review

X-ray Dark-Field Imaging (XDFI)-a Promising Tool for 3D Virtual Histopathology

Journal

MOLECULAR IMAGING AND BIOLOGY
Volume 23, Issue 4, Pages 481-494

Publisher

SPRINGER
DOI: 10.1007/s11307-020-01577-7

Keywords

X-ray dark-field imaging; Refraction-contrast; Phase-contrast; Absorption contrast; Mesoscale; Virtual histopathology

Funding

  1. JSPS/MEXT Kakenhi

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XDFI, with the use of a thin silicon crystal, allows visualization of three-dimensional morphological alterations of human tissue with high sensitivity and excellent resolution, generating 3D virtual histological images equivalent to stained histological sections without the need for contrast medium or staining.
X-ray dark-field imaging (XDFI) utilizing a thin silicon crystal under Laue case enables visualizing three-dimensional (3D) morphological alterations of human tissue. XDFI uses refraction-contrast derived from phase shift rather than absorption as the main X-ray image contrast source to render 2D and 3D images of tissue specimens in unprecedented detail. The unique features of XDFI are its extremely high sensitivity (approximately 1000:1 compared to absorption for soft tissues under X-ray energy of around 20 keV, theoretically) and excellent resolution (8.5 mu m) without requiring contrast medium or staining. Thus, XDFI-computed tomography can generate 3D virtual histological images equivalent to those of stained histological sections pathologists observe under low-power light microscopy as far as organs and tissues selected as samples in preliminary studies. This paper reviews the fundamental principles and the potential of XDFI, describes two optical setups for XDFI with examples, illustrates features of XDFI that are salient for histopathology, and presents XDFI examples of refraction-contrast images of atherosclerotic plaques, musculoskeletal tissue, neuronal tissue, and breast cancer specimens. Availability of this X-ray imaging in routine histopathological evaluations of tissue specimens would help guide clinical decision making by highlighting suspicious areas in unstained, thick sections for further sampling and analysis using conventional histopathological techniques. XDFI is a promising tool for 3D virtual histopathology.

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