608455 Multi‐“Color” Delineation of Bone Microdamages Using Ligand‐Directed Sub‐5 Nm Hafnia Nanodots and Photon Counting CT Imaging

Monday, November 16, 2020
Chemical Engineers in Medicine (TF) (PreRecorded+)
Fatemeh Ostadhossein1, Indu Tripathi2, Lily Benig3, Mahdieh Moghiseh4, Chiara Lowe4 and Dipanjan Pan2, (1)Stanford University, Palo Alto, CA, (2)Bioengineering, University of Illinois, Urbana, IL, (3)University of Illinois at Urbana Champaign, Urbana, IL, (4)University of Otago Christchurch, Christchurch, New Zealand

The early detection of bone microdamages is crucial to make informed decisions about the therapy and taking precautionary treatments to avoid catastrophic fractures. Conventional computed tomography (CT) imaging faces obstacles in detecting bone microdamages due to the strong self‐attenuation of photons from bone and poor spatial resolution. Recent advances in CT technology as well as novel imaging probes can address this problem effectively. Herein, the bone microdamage imaging is demonstrated using ligand‐directed nanoparticles in conjunction with photon counting spectral CT. For the first time, Gram‐scale synthesis of hafnia (HfO2) nanoparticles is reported with surface modification by a chelator moiety. The feasibility of delineating these nanoparticles from bone and soft tissue of muscle is demonstrated with photon counting spectral CT equipped with advanced detector technology. The ex vivo and in vivo studies point to the accumulation of hafnia nanoparticles at microdamage site featuring distinct spectral signal. Due to their small sub‐5 nm size, hafnia nanoparticles are excreted through reticuloendothelial system organs without noticeable aggregation while not triggering any adverse side effects based on histological and liver enzyme function assessments. These preclinical studies highlight the potential of HfO2‐based nanoparticle contrast agents for skeletal system diseases due to their well‐placed K‐edge binding energy.

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See more of this Session: Diagnostics, Treatments and Theranostics
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