Maps of in vivo oxygen pressure with submillimetre resolution and nanomolar sensitivity enabled by Cherenkov-excited luminescence scanned imaging

Pogue, Brian W.; Feng, Jinchao; LaRochelle, Ethan; Brůža, Petr; Lin, Huiyun; Zhang, Rongxiao; Shell, Jennifer R.; Dehghani, Hamid; Davis, Scott C.; Vinogradov, Sergei A.; Gladstone, David J.; Jarvis, Lesley A.

doi:10.1038/s41551-018-0220-3

Cited by 62 publications

(60 citation statements)

References 35 publications

(40 reference statements)

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“…One current limitation of the technique is that only two-dimensional pO 2 images can be obtained. Our previous studies have shown that threedimensional (3D) tomographic imaging of phosphorescence using light sheet excitation and diffuse optical tomography image reconstruction methods makes it possible to obtain 3D pO 2 maps with submillimeter resolution in vivo 29 . However, the tomography technique relies on thin sheet-like X-ray beams, which are not routinely used in the current clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, a new approach has been developed that combines phosphorescence quenching with excitation by the Cherenkov light generated within tissues that are subjected to high-energy radiation during fractionated radiotherapy [29][30][31] . This method, termed Cherenkov excited luminescence imaging (CELI), is used in the present study with the goal to directly image tumor pO 2 distributions precisely at the time of radiation delivery.…”

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confidence: 99%

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Tissue pO2 distributions in xenograft tumors dynamically imaged by Cherenkov-excited phosphorescence during fractionated radiation therapy

et al. 2020

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Hypoxia in solid tumors is thought to be an important factor in resistance to therapy, but the extreme microscopic heterogeneity of the partial pressures of oxygen (pO 2) between the capillaries makes it difficult to characterize the scope of this phenomenon without invasive sampling of oxygen distributions throughout the tissue. Here we develop a noninvasive method to track spatial oxygen distributions in tumors during fractionated radiotherapy, using oxygen-dependent quenching of phosphorescence, oxygen probe Oxyphor PtG4 and the radiotherapy-induced Cherenkov light to excite and image the phosphorescence lifetimes within the tissue. Mice bearing MDA-MB-231 breast cancer and FaDu head neck cancer xenografts show different pO 2 responses during each of the 5 fractions (5 Gy per fraction), delivered from a clinical linear accelerator. This study demonstrates subsurface in vivo mapping of tumor pO 2 distributions with submillimeter spatial resolution, thus providing a methodology to track response of tumors to fractionated radiotherapy.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Tissue pO2 distributions in xenograft tumors dynamically imaged by Cherenkov-excited phosphorescence during fractionated radiation therapy

et al. 2020

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“…The results of numerical simulations and in vivo experiments demonstrate that the proposed method yields accurate and robust results in terms of tumor spatial location and morphology recovery. In our future work, we would validate the SGML method in various preclinical applications and expand it to the related optical tomography including Cerenkov luminescence tomography, fluorescence molecular tomography, X‐ray luminescence computed tomography and some new imaging techniques based on Cerenkov‐excited luminescence , and so forth.…”

Section: Discussionmentioning

confidence: 99%

Sparse‐graph manifold learning method for bioluminescence tomography

Guo

Gao

et al. 2020

Journal of Biophotonics

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In preclinical researches, bioluminescence tomography (BLT) has widely been used for tumor imaging and monitoring, imaged-guided tumor therapy, and so forth. For these biological applications, both tumor spatial location and morphology analysis are the leading problems needed to be taken into account. However, most existing BLT reconstruction methods were proposed for some specific applications with a focus on sparse representation or morphology recovery, respectively. How to design a versatile algorithm that can simultaneously deal with both aspects remains an impending problem. In this study, a Sparse-Graph Manifold Learning (SGML) method was proposed to balance the source sparseness and morphology, by integrating non-convex sparsity constraint and dynamic Laplacian graph model. Furthermore, based on the nonconvex optimization theory and some iterative approximation, we proposed a novel iteratively reweighted soft thresholding algorithm (IRSTA) to solve the SGML model. Numerical simulations and in vivo experiments result demonstrated that the proposed SGML method performed much superior to the comparative methods in spatial localization and tumor morphology recovery for various source settings. It is believed that the SGML method can be applied to the related optical tomography and facilitate the development of optical molecular tomography. K E Y W O R D Sbiology and medicine, bioluminescence tomography, image reconstruction techniques, inverse problems

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“…Moreover, the temporal resolution of the CLI system is not optimal for clinical use. Employing an expensive advanced intensified CCD is believed helpful to refine the performance of the intraoperative CLI . A higher temporal resolution is expected to further improve the image quality and provide greater convenience for surgeons.…”

Section: Discussionmentioning

confidence: 99%

A novel in vivo Cerenkov luminescence image‐guided surgery on primary and metastatic colorectal cancer

Zhang

Cao

et al. 2019

Journal of Biophotonics

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Intraoperative Cerenkov luminescence imaging (CLI) can effectively improve the performance of tumor surgery. Nevertheless, the existing approaches are still unsatisfying to the clinical demands of open surgery. This study develops a novel intraoperative in vivo CLI approach to investigate the potential and value of Cerenkov luminescence (CL) image‐guided surgery. A system characterized with high sensitivity (19.61 kBq mL−1 18F‐FDG) and desirable spatial resolution (88.34 μm) is developed. CL image‐guided surgery is performed on colorectal cancer (CRC) models of mice and swine. Tumor surgery is guided by the static CL images, and the resection quality is evaluated quantitatively and contrasted with other imaging modalities exemplified by bioluminescence imaging (BLI). The in vivo results demonstrated the effectiveness of the proposed intraoperative CLI approach for removing primary and metastatic CRC. Safety of performing in vivo CL image‐guided surgery is verified as well through radiation measurements of related staffs. Overall, the developed intraoperative in vivo CLI approach can efficiently improve the cancer treatment.

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Maps of in vivo oxygen pressure with submillimetre resolution and nanomolar sensitivity enabled by Cherenkov-excited luminescence scanned imaging

Cited by 62 publications

References 35 publications

Tissue pO2 distributions in xenograft tumors dynamically imaged by Cherenkov-excited phosphorescence during fractionated radiation therapy

Tissue pO2 distributions in xenograft tumors dynamically imaged by Cherenkov-excited phosphorescence during fractionated radiation therapy

Sparse‐graph manifold learning method for bioluminescence tomography

A novel in vivo Cerenkov luminescence image‐guided surgery on primary and metastatic colorectal cancer

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