Use of Nanoparticle Contrast Agents for Cell Tracking with Computed Tomography

Johoon Kim, Peter Chhour, Jessica Hsu, Harold I. Litt, Victor A. Ferrari, Rachela Popovtzer, David P. Cormode

Research output: Contribution to journalReview articlepeer-review

142 Scopus citations

Abstract

Efforts to develop novel cell-based therapies originated with the first bone marrow transplant on a leukemia patient in 1956. Preclinical and clinical examples of cell-based treatment strategies have shown promising results across many disciplines in medicine, with recent advances in immune cell therapies for cancer producing remarkable response rates, even in patients with multiple treatment failures. However, cell-based therapies suffer from inconsistent outcomes, motivating the search for tools that allow monitoring of cell delivery and behavior in vivo. Noninvasive cell imaging techniques, also known as cell tracking, have been developed to address this issue. These tools can allow real-time, quantitative, and long-term monitoring of transplanted cells in the recipient, providing insight on cell migration, distribution, viability, differentiation, and fate, all of which play crucial roles in treatment efficacy. Understanding these parameters allows the optimization of cell choice, delivery route, and dosage for therapy and advances cell-based therapy for specific clinical uses. To date, most cell tracking work has centered on imaging modalities such as MRI, radionuclide imaging, and optical imaging. However, X-ray computed tomography (CT) is an emerging method for cell tracking that has several strengths such as high spatial and temporal resolution, and excellent quantitative capabilities. The advantages of CT for cell tracking are enhanced by its wide availability and cost effectiveness, allowing CT to become one of the most popular clinical imaging modalities and a key asset in disease diagnosis. In this review, we will discuss recent advances in cell tracking methods using X-ray CT in various applications, in addition to predictions on how the field will progress.

Original languageEnglish
Pages (from-to)1581-1597
Number of pages17
JournalBioconjugate Chemistry
Volume28
Issue number6
DOIs
StatePublished - 21 Jun 2017

Bibliographical note

Publisher Copyright:
© 2017 American Chemical Society.

Funding

We thank the NIH for funding that supported this work (R01 HL131557).

FundersFunder number
National Institutes of Health
National Heart, Lung, and Blood InstituteR01HL131557

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