Dr. Xiaoying Yu Profile

Dr. Xiaoying Yu

at Univ of Texas Medical Branch

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Publications (3)

Proceedings Article | 5 March 2021 Presentation

Designing a multimodal imaging workflow for large area fluorescence with nonlinear optical microscopy for oral neoplasia detection: preclinical model and clinical sample study

Rahul Pal, Paula Villarreal, Xiaoying Yu, Suimin Qiu, Orly Coblens, Gracie Vargas

Proceedings Volume 11622, 116220I (2021) https://doi.org/10.1117/12.2591286

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Proceedings Article | 5 March 2021 Presentation

Use of preclinical models alongside clinical tissues to develop a noninvasive multimodal fluorescence detection approach for oral neoplasia detection

Paula Villarreal, Rahul Pal, Xiaoying Yu, Orly Coblens, Suimin Qiu, Rongguang Liang, Xingde Li, Gracie Vargas

Proceedings Volume 11633, 116330I (2021) https://doi.org/10.1117/12.2591126

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SPIE Journal Paper | 16 November 2020 Open Access

Multimodal widefield fluorescence imaging with nonlinear optical microscopy workflow for noninvasive oral epithelial neoplasia detection: a preclinical study

Rahul Pal, Paula Villarreal, Xiaoying Yu, Suimin Qiu, Gracie Vargas

JBO, Vol. 25, Issue 11, 116008, (November 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.11.116008

KEYWORDS: Inflammation, Roentgenium, Luminescence, In vivo imaging, Multimodal imaging, Microscopy, Tissues, Optical microscopy, Optical imaging, Tumors

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Significance: Early detection of epithelial cancers and precancers/neoplasia in the presence of benign lesions is challenging due to the lack of robust in vivo imaging and biopsy guidance techniques. Label-free nonlinear optical microscopy (NLOM) has shown promise for optical biopsy through the detection of cellular and extracellular signatures of neoplasia. Although in vivo microscopy techniques continue to be developed, the surface area imaged in microscopy is limited by the field of view. FDA-approved widefield fluorescence (WF) imaging systems that capture autofluorescence signatures of neoplasia provide molecular information at large fields of view, which may complement the cytologic and architectural information provided by NLOM. Aim: A multimodal imaging approach with high-sensitivity WF and high-resolution NLOM was investigated to identify and distinguish image-based features of neoplasia from normal and benign lesions. Approach:In vivo label-free WF imaging and NLOM was performed in preclinical hamster models of oral neoplasia and inflammation. Analyses of WF imaging, NLOM imaging, and dual modality (WF combined with NLOM) were performed. Results: WF imaging showed increased red-to-green autofluorescence ratio in neoplasia compared to inflammation and normal oral mucosa (p < 0.01). In vivo assessment of the mucosal tissue with NLOM revealed subsurface cytologic (nuclear pleomorphism) and architectural (remodeling of extracellular matrix) atypia in histologically confirmed neoplastic tissue, which were not observed in inflammation or normal mucosa. Univariate and multivariate statistical analysis of macroscopic and microscopic image-based features indicated improved performance (94% sensitivity and 97% specificity) of a multiscale approach over WF alone, even in the presence of benign lesions (inflammation), a common confounding factor in diagnostics. Conclusions: A multimodal imaging approach integrating strengths from WF and NLOM may be beneficial in identifying oral neoplasia. Our study could guide future studies on human oral neoplasia to further evaluate merits and limitations of multimodal workflows and inform the development of multiscale clinical imaging systems.

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