Assessing pharmacokinetics of indocyanine green-loaded nanoparticle in tumor with a dynamic diffuse fluorescence tomography system

Zhang, Yanqi; Yin, Guoyan; Zhao, Huapeng; Ma, Wenjuan; Gao, Feng; Zhang, Limin

doi:10.1117/12.2287056

Cited by 5 publications

(5 citation statements)

References 29 publications

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“…As mentioned earlier, the encapsulation of ICG in the polymeric construct enhances its physicochemical attributes such as half-life, bioavailability, stability and pharmacokinetic characteristics, and reduces the ease of degradation [ 17 , 27 , 42 , 88 , 89 ]. Moreover, these versatile ICG-encapsulated NIR theranostic nanoparticles also offer numerous other advantages such as significant targeting ability and sensitivity in tumor imaging, which facilitate them in exploring other innovative therapeutic applications [ 44 , 90 ].…”

Section: Icg-encapsulated Polymeric Compositesmentioning

confidence: 99%

“…For instance, the early intervention of the abnormal lymph, determination of cardiac output and blood plasma volume, evaluation of hepatic function, measurement of capillary patency and localization of tumors in tissues, and dermatology have been most successful in diagnostic applications of ICG [ 43 , 54 , 55 , 136 , 137 ]. In another case, Zhang et al fabricated an ICG-based delivery system focusing on pharmacokinetic parameters of the released dye, which was conducive to tumor diagnosis [ 88 ].…”

Section: Biomedical Applicationsmentioning

confidence: 99%

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Leveraging Engineering of Indocyanine Green-Encapsulated Polymeric Nanocomposites for Biomedical Applications

et al. 2018

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In recent times, photo-induced therapeutics have attracted enormous interest from researchers due to such attractive properties as preferential localization, excellent tissue penetration, high therapeutic efficacy, and minimal invasiveness, among others. Numerous photosensitizers have been considered in combination with light to realize significant progress in therapeutics. Along this line, indocyanine green (ICG), a Food and Drug Administration (FDA)-approved near-infrared (NIR, >750 nm) fluorescent dye, has been utilized in various biomedical applications such as drug delivery, imaging, and diagnosis, due to its attractive physicochemical properties, high sensitivity, and better imaging view field. However, ICG still suffers from certain limitations for its utilization as a molecular imaging probe in vivo, such as concentration-dependent aggregation, poor in vitro aqueous stability and photodegradation due to various physicochemical attributes. To overcome these limitations, much research has been dedicated to engineering numerous multifunctional polymeric composites for potential biomedical applications. In this review, we aim to discuss ICG-encapsulated polymeric nanoconstructs, which are of particular interest in various biomedical applications. First, we emphasize some attractive properties of ICG (including physicochemical characteristics, optical properties, metabolic features, and other aspects) and some of its current limitations. Next, we aim to provide a comprehensive overview highlighting recent reports on various polymeric nanoparticles that carry ICG for light-induced therapeutics with a set of examples. Finally, we summarize with perspectives highlighting the significant outcome, and current challenges of these nanocomposites.

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Section: Icg-encapsulated Polymeric Compositesmentioning

confidence: 99%

Section: Biomedical Applicationsmentioning

confidence: 99%

Leveraging Engineering of Indocyanine Green-Encapsulated Polymeric Nanocomposites for Biomedical Applications

et al. 2018

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“…[1][2][3] It develops from two-dimensional (2D) qualitative imaging to three-dimensional (3D) quantitative research, 4,5 and further expands the integration of stimulated fluorescence in the diagnosis and treatment of cancer, 6 preclinical and clinical applications such as pharmacokinetics. 7 Compared to other Optical molecular imaging(OMI) technologies, FMT has the characteristics of low cost, safety, reliability, high signal strength, and flexible and reliable imaging. 5,8 It has developed rapidly in recent years and has become a research frontier and research hotspot for OMI technology.…”

Section: Introductionmentioning

confidence: 99%

Multi-target reconstruction of fluorescence molecular tomography based on blind source separation

Zhang¹,

Wang²,

He³

et al. 2023

Medical Imaging 2023: Image Processing

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Fluorescence molecular tomography (FMT) is an important molecular imaging technique for tumor detection in early stage. In realistic research, due to the spread and metastasis of tumor cells, it is necessary to comprehensively analyze multiple tumor regions for cancer staging studies. Therefore, high-precision multi-light source reconstruction results are required for quantitative analysis in FMT research. However, the existing methods perform well in the reconstruction of single fluorescent source but may fail in reconstructing multiple targets, which is an obstacle for FMT practical application. In this paper, we proposed a multi-target reconstruction strategy for Fluorescence Molecular Tomography based on Blind Source Separation(BSS) by converting multi-target reconstructions into multiple single-target reconstructions. It is a breakthrough work in multi-target reconstruction for cancer staging using optical molecular technique. Numerical simulation experiments proved that it had the ability of multi-source resolution for FMT in accurate location and morphology recovery. The encouraging results demonstrate significant effectiveness and potential of our method for preclinical FMT applications.

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“…So far, FMT has been widely applied in in vivo 3D visualization of liver cancer, glioma, and nasopharyngeal carcinoma [3][4][5], analysis of pathological tumor characteristics, and evaluation of curative effect of anticancer drug discovery, etc. [6][7][8]. However, due to the high scattering effect of fluorescence in biological tissues, and insufficient optical information detected by CCD camera, FMT reconstruction is highly ill-posed and difficult to obtain accurate solutions [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An adaptive parameter selection strategy based on maximizing the probability of data for robust fluorescence molecular tomography reconstruction

Zhang

Liu³

et al. 2023

Journal of Biophotonics

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To alleviate the ill‐posed of the inverse problem in fluorescent molecular tomography (FMT), many regularization methods based on L2 or L1 norm have been proposed. Whereas, the quality of regularization parameters affects the performance of the reconstruction algorithm. Some classical parameter selection strategies usually need initialization of parameter range and high computing costs, which is not universal in the practical application of FMT. In this paper, an universally applicable adaptive parameter selection method based on maximizing the probability of data (MPD) strategy was proposed. This strategy used maximum a posteriori (MAP) estimation and maximum likelihood (ML) estimation to establish a regularization parameters model. The stable optimal regularization parameters can be determined by multiple iterative estimates. Numerical simulations and in vivo experiments show that MPD strategy can obtain stable regularization parameters for both regularization algorithms based on L2 or L1 norm and achieve good reconstruction performance.

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Assessing pharmacokinetics of indocyanine green-loaded nanoparticle in tumor with a dynamic diffuse fluorescence tomography system

Cited by 5 publications

References 29 publications

Leveraging Engineering of Indocyanine Green-Encapsulated Polymeric Nanocomposites for Biomedical Applications

Leveraging Engineering of Indocyanine Green-Encapsulated Polymeric Nanocomposites for Biomedical Applications

Multi-target reconstruction of fluorescence molecular tomography based on blind source separation

An adaptive parameter selection strategy based on maximizing the probability of data for robust fluorescence molecular tomography reconstruction

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