64CuS-labeled nanoparticles: a new sentinel-lymph-node-mapping agent for PET–CT and photoacoustic tomography

Qiufang Liu, Min Zhou, Panli Li, Geng Ku, Gang Huang, Chun Li, Shaoli Song

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Determining sentinel lymph node (SLN) status is critical to cancer staging and treatment decisions. Currently, in clinical practice, 99mTc-radiocolloid-mediated planar scintigraphy and single-photon emission computed tomography (SPECT) are used to guide the biopsy and resection of SLNs. Recently, an emerging technique that combines positron emission tomography (PET) and photoacoustic tomography (PAT; PET–PAT) may offer accurate information in detecting SLNs. Herein, we report a kind of 64CuS-labeled nanoparticle (64CuS-NP) for the detection of SLNs with PET–PAT. We subcutaneously injected 64CuS-NPs into the rats’ forepaw pads. After 24 h, the rats’ first draining axillary lymph nodes (i.e. the SLNs) could be clearly visualized with micro-PET (μPET)–CT. Rats were sacrificed after μPET–CT imaging, their axillary lymph nodes were surgically identified, and then PAT was employed to discover 64CuS-NP-avid SLNs, which were embedded inside tissues. Biodistribution, autoradiography, and copper staining analyses confirmed the SLNs’ high uptake of 64CuS-NPs. Our study indicates that 64CuS-NPs are a promising dual-function agent for both PET–CT and PAT and could be used with multi-modal imaging strategies such as PET–PAT to identify SLNs in a clinical setting.

Original languageEnglish (US)
Pages (from-to)475-481
Number of pages7
JournalContrast Media and Molecular Imaging
Volume11
Issue number6
DOIs
StatePublished - Nov 1 2016

Keywords

  • CuS-NPs
  • PET–CT
  • SLN imaging
  • photoacoustic imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of '64CuS-labeled nanoparticles: a new sentinel-lymph-node-mapping agent for PET–CT and photoacoustic tomography'. Together they form a unique fingerprint.

Cite this