| Download | - View final version: Preclinical quantitative in-vivo assessment of skin tissue vascularity in radiation-induced fibrosis with optical coherence tomography (PDF, 1.7 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1117/1.JBO.23.10.106003 |
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| Author | Search for: Demidov, Valentin; Search for: Zhao, Xiao; Search for: Demidova, Olga; Search for: Pang, Hilary Y. M.; Search for: Flueraru, Costel1; Search for: Liu, Fei-Fei; Search for: Vitkin, I. Alex |
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| Affiliation | - National Research Council Canada. Advanced Electronics and Photonics
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| Format | Text, Article |
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| Subject | optical coherence tomography; speckle variance optical coherence tomography; radiotherapy; radiation-induced fibrosis; microcirculation; cancer treatment |
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| Abstract | Radiation therapy (RT) is widely and effectively used for cancer treatment but can also cause deleterious side effects, such as a late-toxicity complication called radiation-induced fibrosis (RIF). Accurate diagnosis of RIF requires analysis of histological sections to assess extracellular matrix infiltration. This is invasive, prone to sampling limitations, and thus rarely used; instead, current practice relies on subjective clinical surrogates, including visual observation, palpation, and patient symptomatology questionnaires. This preclinical study demonstrates that functional optical coherence tomography (OCT) is a useful tool for objective noninvasive in-vivo assessment and quantification of fibrosis-associated microvascular changes in tissue. Data were collected from murine hind limbs 6 months after 40-Gy single-dose irradiation and compared with nonirradiated contralateral tissues of the same animals. OCT-derived vascular density and average vessel diameter metrics were compared to quantitative vascular analysis of stained histological slides. Results indicate that RIF manifests significant microvascular changes at this time point posttreatment. Abnormal microvascular changes visualized by OCT in this preclinical setting suggest the potential of this label-free high-resolution noninvasive functional imaging methodology for RIF diagnosis and assessment in the context of clinical RT. |
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| Publication date | 2018-10-12 |
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| Publisher | SPIE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 8516e859-5e1d-420a-b194-a47dccaa300a |
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| Record created | 2019-04-26 |
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| Record modified | 2020-05-30 |
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