Open Access
9 July 2022 In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography
Fei Liu, Peng Zhang, Zeyu Liu, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Yufang He, Guanglei Zhang
Author Affiliations +
Abstract

Significance: Pharmacokinetic parametric images in dynamic fluorescence molecular tomography (FMT) can describe three-dimensional (3D) physiological and pathological information inside biological tissues, potentially providing quantitative assessment tools for biological research and drug development.

Aim: In vivo imaging of the liver tumor with pharmacokinetic parametric images from dynamic FMT based on the differences in metabolic properties of indocyanine green (ICG) between normal liver cells and tumor liver cells inside biological tissues.

Approach: First, an orthotopic liver tumor mouse model was constructed. Then, with the help of the FMT/computer tomography (CT) dual-modality imaging system and the direct reconstruction algorithm, 3D imaging of liver metabolic parameters in nude mice was achieved to distinguish liver tumors from normal tissues. Finally, pharmacokinetic parametric imaging results were validated against in vitro anatomical results.

Results: This letter demonstrates the ability of dynamic FMT to monitor the pharmacokinetic delivery of the fluorescent dye ICG in vivo, thus, enabling the distinction between normal and tumor tissues based on the pharmacokinetic parametric images derived from dynamic FMT.

Conclusions: Compared with CT structural imaging technology, dynamic FMT combined with compartmental modeling as an analytical method can obtain quantitative images of pharmacokinetic parameters, thus providing a more powerful research tool for organ function assessment, disease diagnosis and new drug development.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Fei Liu, Peng Zhang, Zeyu Liu, Fan Song, Chenbin Ma, Yangyang Sun, Youdan Feng, Yufang He, and Guanglei Zhang "In vivo accurate detection of the liver tumor with pharmacokinetic parametric images from dynamic fluorescence molecular tomography," Journal of Biomedical Optics 27(7), 070501 (9 July 2022). https://doi.org/10.1117/1.JBO.27.7.070501
Received: 23 May 2022; Accepted: 28 June 2022; Published: 9 July 2022
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
KEYWORDS
Liver

Tumors

Computed tomography

Tissues

Imaging systems

Luminescence

Tomography

Back to Top