SignificanceLymphatic and peripheral nervous system imaging is of prime importance for monitoring various important pathologic processes including cancer development and metastasis, and response to therapy.AimOptical coherence tomography (OCT) is a promising approach for this imaging task but is challenged by the near-transparent nature of these structures. Our aim is to detect and differentiate semi-transparent materials using OCT texture analysis, toward label-free neurography and lymphography.ApproachWe have recently demonstrated an innovative OCT texture analysis-based approach that used speckle statistics to image lymphatics and nerves in-vivo that does not rely on negative contrast. However, these two near-transparent structures could not be easily differentiated from each other in the texture analysis parameter space. Here, we perform a rigorous follow-up study to improve upon this differentiation in controlled phantoms mimicking the optical properties of these tissues.ResultsThe results of the three-parameter Rayleigh distribution fit to the OCT images of six types of tissue-mimicking materials varying in transparency and biophysical properties demonstrate clear differences between them, suggesting routes for improved lymphatics-nerves differentiation.ConclusionsWe demonstrate a novel OCT texture analysis-based lymphatics-nerves differentiation methodology in tissue-simulating phantoms. Future work will focus on longitudinal in-vivo lymphangiography and neurography in response to cancer therapeutics toward adaptive personalized medicine.
KEYWORDS: Magnetic resonance imaging, Optical coherence tomography, Radiotherapy, Angiography, Medicine, Gadolinium, Data acquisition, Oxygen, Data processing, Pre-clinical research
Stereotactic body radiotherapy (SBRT) shows promise for increasing local tumour control for many of the most lethal cancer types including pancreatic ductal carcinoma (PDA), compared to conventional radiotherapy. Yet SBRT radiation fractionation schedules may still be improved as its mechanism of action remains largely unknown. It has been suggested that this accelerated hypofractionated treatment benefits from vascular damage (in particular of blood capillaries ~10-30μm in diameter). We therefore hypothesize that monitoring radiation-induced microvascular changes will (1) yield insights into SBRT’s radiobiological effects, and (2) enable predictions of long-term tumour response. We addressed this hypothesis pre-clinically in PDA human xenografts grown in immunocompromised mice in a dorsal skinfold window chamber model. We monitored both micro- (via optical coherence tomography angiography (OCTA)) and macro- (via dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)) vascular responses to irradiation over time. We first studied responses to single fraction irradiation, and then to a full typical clinical SBRT regimen delivered via a small animal irradiator. Candidate predictive vascular biomarkers of radiobiological relevance were derived from 3D OCTA microvascular networks (micro-scale response) and correlated with the DCE-MRI functional metrics relating to the transport of an MRI contrast agent (macro-scale response). The longitudinal trajectories of both were measured before, during and following treatments. Herein we focus primarily on the DLF150 and λ metrics from OCTA which describe the microvascular heterogeneity and molecular transport efficiency. To assess the predictive power of the various metrics, their temporal trends were compared to the macroscopic tumour response (volume and viability). Efforts are ongoing to train neural networks for this time series analysis. The combined OCTA and DCE-MRI insights should yield a better understanding of tissue functional response to high doses of radiation employed in SBRT and help develop improved SBRT fractionation schedules (dose and time combinations) towards personalized and adaptive radiation therapy.
KEYWORDS: Optical coherence tomography, Tissues, Hypoxia, In vivo imaging, Radiotherapy, Angiography, Personal digital assistants, Mode conditioning cables, Medicine, Imaging systems
Stereotactic body radiotherapy’s radiobiological mechanism of action is unknown, impeding development of adaptive irradiation schedules. A new vascular biomarker with predictive potential of tumour radiation response and hypoxia is extracted via OCT angiography longitudinally.
OCT can monitor the tumor vascular response to stereotactic body radiotherapy (SBRT). We find correlations between OCT microvascular metrics and MRI angiography macrovascular metrics, supporting the use of MRI in SBRT treatment response monitoring.
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