2019
DOI: 10.1038/s41598-019-43084-y
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Accurate early prediction of tumour response to PDT using optical coherence angiography

Abstract: Prediction of tumour treatment response may play a crucial role in therapy selection and optimization of its delivery parameters. Here we use optical coherence angiography (OCA) as a minimally-invasive, label-free, real-time bioimaging method to visualize normal and pathological perfused vessels and monitor treatment response following vascular-targeted photodynamic therapy (PDT). Preclinical results are reported in a convenient experimental model (CT-26 colon tumour inoculated in murine ear), enabling control… Show more

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Cited by 31 publications
(32 citation statements)
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“…Multimodal OCT has also proven to be very useful for in vivo evaluation of fairly rapid and pronounced posttherapeutic changes in tumors. For example, one can mention the OCT-based angiographic observation of blood-circulation blockages in tumors and in peri-tumorous regions for accurate prediction of the outcome of vasculature-targeted photodynamic therapy (PDT) during the first 24 hours post-PDT [6][7][8] . However, unlike the fairly easily observed perturbation in the microcirculation of blood, the assessment of the histological tissue structure lacks precise, noninvasive methods.…”
Section: Introductionmentioning
confidence: 99%
“…Multimodal OCT has also proven to be very useful for in vivo evaluation of fairly rapid and pronounced posttherapeutic changes in tumors. For example, one can mention the OCT-based angiographic observation of blood-circulation blockages in tumors and in peri-tumorous regions for accurate prediction of the outcome of vasculature-targeted photodynamic therapy (PDT) during the first 24 hours post-PDT [6][7][8] . However, unlike the fairly easily observed perturbation in the microcirculation of blood, the assessment of the histological tissue structure lacks precise, noninvasive methods.…”
Section: Introductionmentioning
confidence: 99%
“…Using OCT, one can evaluate both the general structure of biological tissue (number and thickness of its layers), the state of the connective tissue, and microcirculation (blood flow and lymph flow) in real time. This approach has already proven itself in solving a number of tasks, e.g., visualizing the microcirculation in the oral mucosa [16] and monitoring the vascular response to treatment [17,18].…”
Section: Introductionmentioning
confidence: 99%
“…2(a-c) (in the absence of additive noise), but for randomly distributed 5 10 2  scatterers, the density of which is close to concentration of cells in biological tissues. In the simulation, the axially moved particles displaced by 2.25x10 -4 m between the consequent A-scans, which corresponds to the velocity 2.25 m/s for the acquisition rate of the OCT scanner described in [9,24] and applied for angiographic mapping in [25,26,27,28] using the high-pass filtering principle. Figure 3a shows the initial B-scan through the axis of the vertical flow and Fig.…”
Section: Examples Of Refocusing Of Simulated Oct Scans Including the mentioning
confidence: 99%