Harnessing X-Ray Energy-Dependent Attenuation of Bismuth-Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis

Adv Sci (Weinh). 2021 Jun;8(11):e2002548. doi: 10.1002/advs.202002548. Epub 2021 Mar 16.

Abstract

Timely detection of liver fibrosis by X-ray computed tomography (CT) can prevent its progression to fatal liver diseases. However, it remains quite challenging because conventional CT can only identify the difference in density instead of X-ray attenuation characteristics. Spectral CT can generate monochromatic imaging to specify X-ray attenuation characteristics of the scanned matter. Herein, an X-ray energy-dependent attenuation strategy originated from bismuth (Bi)-based nanoprobes (BiF3 @PDA@HA) is proposed for the accurate diagnosis of liver fibrosis. Bi element in BiF3 @PDA@HA can exhibit characteristic attenuation depending on different levels of X-ray energy via spectral CT, and that is challenging for conventional CT. In this study, selectively accumulating BiF3 @PDA@HA nanoprobes in the hepatic fibrosis areas can significantly elevate CT value for 40 Hounsfield units on 70 keV monochromatic images, successfully differentiating from healthy livers and achieving the diagnosis of liver fibrosis. Furthermore, the enhancement produced by the BiF3 @PDA@HA nanoprobes in vivo increases as the monochromatic energy decreases from 70 to 40 keV, optimizing the conspicuity of the diseased areas. As a proof of concept, the strategically designed nanoprobes with energy-dependent attenuation characteristics not only expand the scope of CT application, but also hold excellent potential for precise imaging-based disease diagnosis.

Keywords: BiF3@PDA@HA nanoprobes; hyaluronic acid; liver fibrosis; spectral computed tomography.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bismuth / chemistry
  • Bismuth / pharmacology*
  • Contrast Media / chemistry
  • Contrast Media / pharmacology
  • Disease Models, Animal
  • Humans
  • Indoles / chemistry
  • Liver / diagnostic imaging
  • Liver / drug effects
  • Liver Cirrhosis / diagnosis*
  • Liver Cirrhosis / diagnostic imaging
  • Liver Cirrhosis / pathology
  • Mice
  • Nanoparticles / chemistry*
  • Nanoparticles / therapeutic use
  • Phantoms, Imaging
  • Polymers / chemistry
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Spectroscopy, Fourier Transform Infrared / methods
  • Tomography, X-Ray Computed*

Substances

  • Contrast Media
  • Indoles
  • Polymers
  • polydopamine
  • Bismuth