Shortwave infrared (900-1,700ânm) fluorescence imaging (SWIRFI) has shown significant advantages over visible (400-650ânm) and near-infrared (700-900ânm) fluorescence imaging (reduced autofluorescence, improved contrast, tissue resolution, and depth sensitivity). However, there is a major lag in the clinical translation of preclinical SWIRFI systems and targeted SWIRFI probes. Methods: We preclinically show that the pH low-insertion peptide conjugated to indocyanine green (pHLIP ICG), currently in clinical trials, is an excellent candidate for cancer-targeted SWIRFI. Results: pHLIP ICG SWIRFI achieved picomolar sensitivity (0.4ânM) with binary and unambiguous tumor screening and resection up to 96âh after injection in an orthotopic breast cancer mouse model. SWIRFI tumor screening and resection had ambient light resistance (possible without gating or filtering) with outstanding signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) values at exposures from 10 to 0.1âms. These SNR and CNR values were also found for the extended emission of pHLIP ICG in vivo (>1,100ânm, 300âms). Conclusion: SWIRFI sensitivity and ambient light resistance enabled continued tracer clearance tracking with unparalleled SNR and CNR values at video rates for tumor delineation (achieving a tumor-to-muscle ratio above 20). In total, we provide a direct precedent for the democratic translation of an ambient light resistant SWIRFI and pHLIP ICG ecosystem, which can instantly improve tumor resection.
Ambient Light Resistant Shortwave Infrared Fluorescence Imaging for Preclinical Tumor Delineation via the pH Low-Insertion Peptide Conjugated to Indocyanine Green.
通过 pH 低插入肽与吲哚菁绿偶联,实现抗环境光短波红外荧光成像,用于临床前肿瘤勾画
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作者:Mc Larney Benedict Edward, Kim Mijin, Roberts Sheryl, Skubal Magdalena, Hsu Hsiao-Ting, Ogirala Anuja, Pratt Edwin C, Pillarsetty Naga Vara Kishore, Heller Daniel A, Lewis Jason S, Grimm Jan
| 期刊: | Journal of Nuclear Medicine | 影响因子: | 9.100 |
| 时间: | 2023 | 起止号: | 2023 Oct;64(10):1647-1653 |
| doi: | 10.2967/jnumed.123.265686 | 研究方向: | 肿瘤 |
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