Distinguishing Tumor from Associated Fibrosis to Increase Diagnostic Biopsy Yield with Polarization-Sensitive Optical Coherence Tomography.

Hariri, Lida P; Adams, David C; Applegate, Matthew B; Miller, Alyssa J; Roop, Benjamin W; Villiger, Martin; Bouma, Brett E; Suter, Melissa J · Clin Cancer Res · 2019

basic_science · Level V

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Abstract

With recent advancements in personalized medicine, biopsies must contain sufficient tumor for histologic diagnosis and molecular testing. However, inadvertent biopsy of tumor-associated fibrosis compromises tumor yield, resulting in delayed diagnoses and/or repeat procedures when additional tumor is needed. The ability to differentiate tumor from fibrosis intraprocedurally during biopsy could significantly increase tumor yield. Polarization-sensitive optical coherence tomography (PS-OCT) is an imaging modality that is endoscope- and/or needle-compatible, and provides large volumetric views of tissue microstructure with high resolution (∼10 μm) while simultaneously measuring birefringence of organized tissues such as collagen. We aim to determine whether PS-OCT can accurately detect and distinguish tumor-associated fibrosis from tumor. PS-OCT was obtained <i>ex vivo</i> in 64 lung nodule samples. PS-OCT birefringence was measured and correlated to collagen content in precisely matched histology, quantified on picrosirius red (PSR) staining. There was a strong positive correlation between PS-OCT measurement of birefringent fibrosis and total collagen content by PSR (<i>r</i> = 0.793; <i>P</i> < 0.001). In addition, PS-OCT was able to accurately classify tumor regions with >20% fibrosis from those with low fibrosis (≤20%) that would likely yield higher tumor content (<i>P</i> < 0.0001). PS-OCT enables accurate fibrosis detection and can distinguish tumor regions with low fibrosis. PS-OCT has significant potential for clinical impact, as the ability to differentiate tumor from fibrosis could be used to guide intraprocedural tissue sampling <i>in vivo</i>, or for rapid biopsy adequacy assessment <i>ex vivo</i>, to increase diagnostic tumor yield essential for patient care and research.

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