Cancer Imaging with Nanoparticles Using MARS Spectral Scanner

Moghiseh, Mahdieh; Raja, Aamir; Kumar, Dhiraj; Panta, Raj K.; Healy, Joseph L.; Lewis, John G.; Chernoglazov, Alexander I.; Lowe, Chiara; Butler, Anthony; Adebileje, Sikiru A; Alexander, Steven D.; Amma, Maya R; Anjomrouz, Marzieh; Asghariomabad, Fatemeh; Atharifard, Ali; Baer, Kenzie; Bamford, Benjamin; Bell, Stephen T.; Bheesette, S.; Butler, P. H.; Carbonez, Pierre; Chambers, Claire; Dahal, Shishir; Dalefield, Tara; Damet, J.; Ruiter, Niels J A de; Doesburg, R.; Duncan, Neryda; Gieseg, Steven P.; Goulter, Brian P.; Gurney, Sam; Hilton, Peter; Kanithi, Preveenkumar; Kirkbride, Tracy; Lansley, Stuart P.; Mandalika, V. B. H.; Marfo, Emmanuel; Matanaghi, Aysouda; Palmer, David N.; Prebble, Hannah M.; Ramyar, Mohsen; Renaud, Peter; Schleich, Nanette; Searle, Emily; Shamshad, Muhammad; Sheeja, Jereena S; Uddin, Rayhan; Broeke, Lieza Vanden; Walker, Peter; Walsh, Michael F.; Wijesooriya, Manoj; Woodfield, Tim B. F.; Anderson, Nigel G.

doi:10.1109/nssmic.2018.8824632

Cited by 3 publications

(5 citation statements)

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“…They demonstrated the potential application of SPCCT in molecular imaging, which allows the detection and quantification of functionalized AuNP uptake by cancer cells in vitro. 63,65 Several reports confirm the size-dependent uptake of NPs by cancer cells. In this context, a study described higher uptake of 18 and 80 nm ''as prepared'' AuNPs in ovarian cancer cells (OVCAR5 and SKOV3), and selective targeting of ovarian cancer in an in vivo model using LHRH peptide-conjugated (PEG-peptide mixed monolayer) AuNPs.…”

Section: Materials Advances Reviewmentioning

confidence: 87%

“…They demonstrated the potential application of SPCCT in molecular imaging, which allows the detection and quantification of functionalized AuNP uptake by cancer cells in vitro . 63,65…”

Section: Gold (79) Nanoparticlesmentioning

confidence: 99%

“…These studies highlight the importance of SPCCT for the detection and quantification of AuNPs in cancerous cells and tissues both in vitro and in vivo . 65 In another study, AuNPs functionalized with an anti-plasma membrane heat-shock protein antibody were used for in vitro cell culture and in vivo imaging in mice. They showed that functionalized AuNPs accumulated in the plasma of tumor cells but not in normal cells.…”

Section: Gold (79) Nanoparticlesmentioning

confidence: 99%

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High atomic number nanoparticles to enhance spectral CT imaging aspects

Mutreja,

Maalej,

Kaushik

et al. 2023

Mater. Adv.

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Section: Materials Advances Reviewmentioning

confidence: 87%

“…They demonstrated the potential application of SPCCT in molecular imaging, which allows the detection and quantification of functionalized AuNP uptake by cancer cells in vitro . 63,65…”

Section: Gold (79) Nanoparticlesmentioning

confidence: 99%

Section: Gold (79) Nanoparticlesmentioning

confidence: 99%

See 1 more Smart Citation

High atomic number nanoparticles to enhance spectral CT imaging aspects

Mutreja,

Maalej,

Kaushik

et al. 2023

Mater. Adv.

Self Cite

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show abstract

“…The energy discrimination of the PCD enables the identification of the contrast agents (Roessl and Proksa 2007, Schlomka et al 2008, Schirra et al 2013, Ghadiri et al 2013, Schirra et al 2014. It has the potential to improve clinical diagnosis, thanks to the active targeting (Schirra et al 2012, Si-Mohamed et al 2017, Moghiseh et al 2018.…”

Section: Introductionmentioning

confidence: 99%

A data-driven maximum likelihood classification for nanoparticle agent identification in photon-counting CT

Baek¹,

Lee²

2021

Phys. Med. Biol.

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The nanoparticle agent, combined with a targeting factor reacting with lesions, enables specific CT imaging. Thus, the identification of the nanoparticle agents has the potential to improve clinical diagnosis. Thanks to the energy sensitivity of the photon-counting detector (PCD), it can exploit the K-edge of the nanoparticle agents in the clinical x-ray energy range to identify the agents. In this paper, we propose a novel data-driven approach for nanoparticle agent identification using the PCD. We generate two sets of training data consisting of PCD measurements from calibration phantoms, one in the presence of nanoparticle agent and the other in the absence of the agent. For a given sinogram of PCD counts, the proposed method calculates the normalized log-likelihood sinogram for each class (class 1: with the agent, class 2: without the agent) using the K nearest neighbors (KNN) estimator, backproject the sinograms, and compare the backprojection images to identify the agent. We also proved that the proposed algorithm is equivalent to the maximum likelihood-based classification. We studied the robustness of dose reduction with gold nanoparticles as the K-edge contrast media and demonstrated that the proposed method identifies targets with different concentrations of the agents without background noise.

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“…Photon energy measurements, combined with known attenuation energy dependence in different materials, result in the simultaneous differentiation and quantification of up to six materials [15,20]. Spectral photon-counting CT imaging with the MARS scanner has proven useful in a wide range of preclinical applications pertinent to common human conditions, including crystal arthropathies [21], atherosclerosis [22], bone health [23,24,25], and cancer [26,27]. Studies have also used MARS spectral imaging to investigate novel targeted pharmaceuticals, such as hafniabased nanoparticles that have been chemically trained to highlight bone microdamage [23,26].…”

Section: Introductionmentioning

confidence: 99%