The Experts below are selected from a list of 5331 Experts worldwide ranked by ideXlab platform
Rebecca Richardskortum - One of the best experts on this subject based on the ideXlab platform.
-
accuracy of in vivo multimodal optical imaging for detection of Oral Neoplasia
Cancer Prevention Research, 2012Co-Authors: Michelle D Williams, Rebecca Richardskortum, Jack J Lee, Mark C Pierce, Richard A Schwarz, Vijayashree S Bhattar, Sharon Mondrik, Ann Marie GillenwaterAbstract:If detected early, Oral cancer is eminently curable. However, survival rates for Oral cancer patients remain low, largely due to late-stage diagnosis and subsequent difficulty of treatment. To improve clinicians' ability to detect early disease and to treat advanced cancers, we developed a multimodal optical imaging system (MMIS) to evaluate tissue in situ , at macroscopic and microscopic scales. The MMIS was used to measure 100 anatomic sites in 30 patients, correctly classifying 98% of pathologically confirmed normal tissue sites, and 95% of sites graded as moderate dysplasia, severe dysplasia, or cancer. When used alone, MMIS classification accuracy was 35% for sites determined by pathology as mild dysplasia. However, MMIS measurements correlated with expression of candidate molecular markers in 87% of sites with mild dysplasia. These findings support the ability of noninvasive multimodal optical imaging to accurately identify neoplastic tissue and premalignant lesions. This in turn may have considerable impact on detection and treatment of patients with Oral cancer and other epithelial malignancies. Cancer Prev Res; 5(6); 801–9. ©2012 AACR .
-
advances in fluorescence imaging techniques to detect Oral cancer and its precursors
Future Oncology, 2010Co-Authors: Dongsuk Shin, Ann Marie Gillenwater, Nadarajah Vigneswaran, Rebecca RichardskortumAbstract:Oral cancer is a significant health problem in the USA and throughout the world. Most Oral cancer patients are diagnosed at a late stage, when treatment is less successful and treatment-associated morbidity is more severe. A number of new diagnostic aids to conventional Oral examination have recently been introduced to assist in the early detection of Oral Neoplasia. In particular, autofluorescence imaging has emerged as a promising adjunctive technique to improve early identification of Oral premalignant lesions. Direct visual inspection of tissue autofluorescence has shown encouraging results in high-prevalence populations, but the technique requires subjective interpretation and depends on the visual recognition skills of the examiner. Capturing and analyzing digital fluorescence images can reduce subjectivity and potentially improve sensitivity of detection of precancerous changes. Recent studies of wide-field autofluorescence imaging in low-prevalence populations suggest that benign lesions such as i...
-
molecular imaging of glucose uptake in Oral Neoplasia following topical application of fluorescently labeled deoxy glucose
International Journal of Cancer, 2009Co-Authors: Nitin Nitin, Adel K Elnaggar, Ann M Gillenwater, Alicia L Carlson, Timothy J Muldoon, Rebecca RichardskortumAbstract:The clinical value of assessing tumor glucose metabolism via F-18 fluorodeoxyglucose (FDG) PET imaging in oncology is well established; however, the poor spatial resolution of PET is a significant limitation especially for early stage lesions. An alternative technology is optical molecular imaging, which allows for subcellular spatial resolution and can be effectively used with topical contrast agents for imaging epithelial derived cancers. The goal of this study was to evaluate the potential of optical molecular imaging of glucose metabolism to aid in early detection of Oral Neoplasia. Fluorescently labeled deoxyglucose (2-NBDG (2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxy-D-glucose)) was applied topically to tissue phantoms, fresh Oral biopsies (n = 32) and resected tumors specimens (n = 2). High-resolution imaging results show that 2-NBDG can be rapidly delivered to Oral epithelium using topical application. In normal epithelium, the uptake of 2-NBDG is limited to basal epithelial cells. In contrast, high-grade dysplasia and cancers show uptake of 2-NBDG in neoplastic cells throughout the lesion. Following 2-NBDG labeling, the mean fluorescence intensity of neoplastic tissue averages 3.7 times higher than that of matched nonneoplastic Oral biopsies in samples from 20 patients. Widefield fluorescence images of 8-paired Oral specimens were obtained pre and postlabeling with 2-NBDG. Prior to labeling, neoplastic samples showed significantly lower autofluorescence than nonneoplastic samples. The fluorescence of neoplastic samples increased dramatically after labeling; the differential increase in fluorescence was on average 30 times higher in neoplastic samples than in normal samples. Topical application of 2-NBDG can therefore provide image contrast in both widefield and high-resolution fluorescence imaging modalities, highlighting its potential in early detection of Oral Neoplasia.
-
objective detection and delineation of Oral Neoplasia using autofluorescence imaging
Cancer Prevention Research, 2009Co-Authors: Darren Roblyer, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Cristina Kurachi, Vanda M Stepanek, Jack J Lee, Rebecca RichardskortumAbstract:Although the Oral cavity is easily accessible to inspection, patients with Oral cancer most often present at a late stage, leading to high morbidity and mortality. Autofluorescence imaging has emerged as a promising technology to aid clinicians in screening for Oral Neoplasia and as an aid to resection, but current approaches rely on subjective interpretation. We present a new method to objectively delineate neoplastic Oral mucosa using autofluorescence imaging. Autofluorescence images were obtained from 56 patients with Oral lesions and 11 normal volunteers. From these images, 276 measurements from 159 unique regions of interest (ROI) sites corresponding to normal and confirmed neoplastic areas were identified. Data from ROIs in the first 46 subjects were used to develop a simple classification algorithm based on the ratio of red-to-green fluorescence; performance of this algorithm was then validated using data from the ROIs in the last 21 subjects. This algorithm was applied to patient images to create visual disease probability maps across the field of view. Histologic sections of resected tissue were used to validate the disease probability maps. The best discrimination between neoplastic and nonneoplastic areas was obtained at 405 nm excitation; normal tissue could be discriminated from dysplasia and invasive cancer with a 95.9% sensitivity and 96.2% specificity in the training set, and with a 100% sensitivity and 91.4% specificity in the validation set. Disease probability maps qualitatively agreed with both clinical impression and histology. Autofluorescence imaging coupled with objective image analysis provided a sensitive and noninvasive tool for the detection of Oral Neoplasia.
-
in vivo imaging of Oral Neoplasia using a miniaturized fiber optic confocal reflectance microscope
Oral Oncology, 2008Co-Authors: Kristen C Maitland, Michael R. Descour, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Rebecca RichardskortumAbstract:The purpose of this study was to determine whether in vivo images of Oral mucosa obtained with a fiber optic confocal reflectance microscope could be used to differentiate normal and neoplastic tissues. We imaged 20 Oral sites in eight patients undergoing surgery for squamous cell carcinoma. Normal and abnormal areas within the Oral cavity were identified clinically, and real-time videos of each site were obtained in vivo using a fiber optic confocal reflectance microscope. Following imaging, each site was biopsied and submitted for histopathologic examination. We identified distinct features, such as nuclear irregularity and spacing, which can be used to qualitatively differentiate between normal and abnormal tissue. Representative confocal images of normal, pre-neoplastic, and neoplastic Oral tissue are presented. Previous work using much larger microscopes has demonstrated the ability of confocal reflectance microscopy to image cellular and tissue architecture in situ. New advances in technology have enabled miniaturization of imaging systems for in vivo use.
Ann Marie Gillenwater - One of the best experts on this subject based on the ideXlab platform.
-
accuracy of in vivo multimodal optical imaging for detection of Oral Neoplasia
Cancer Prevention Research, 2012Co-Authors: Michelle D Williams, Rebecca Richardskortum, Jack J Lee, Mark C Pierce, Richard A Schwarz, Vijayashree S Bhattar, Sharon Mondrik, Ann Marie GillenwaterAbstract:If detected early, Oral cancer is eminently curable. However, survival rates for Oral cancer patients remain low, largely due to late-stage diagnosis and subsequent difficulty of treatment. To improve clinicians' ability to detect early disease and to treat advanced cancers, we developed a multimodal optical imaging system (MMIS) to evaluate tissue in situ , at macroscopic and microscopic scales. The MMIS was used to measure 100 anatomic sites in 30 patients, correctly classifying 98% of pathologically confirmed normal tissue sites, and 95% of sites graded as moderate dysplasia, severe dysplasia, or cancer. When used alone, MMIS classification accuracy was 35% for sites determined by pathology as mild dysplasia. However, MMIS measurements correlated with expression of candidate molecular markers in 87% of sites with mild dysplasia. These findings support the ability of noninvasive multimodal optical imaging to accurately identify neoplastic tissue and premalignant lesions. This in turn may have considerable impact on detection and treatment of patients with Oral cancer and other epithelial malignancies. Cancer Prev Res; 5(6); 801–9. ©2012 AACR .
-
advances in fluorescence imaging techniques to detect Oral cancer and its precursors
Future Oncology, 2010Co-Authors: Dongsuk Shin, Ann Marie Gillenwater, Nadarajah Vigneswaran, Rebecca RichardskortumAbstract:Oral cancer is a significant health problem in the USA and throughout the world. Most Oral cancer patients are diagnosed at a late stage, when treatment is less successful and treatment-associated morbidity is more severe. A number of new diagnostic aids to conventional Oral examination have recently been introduced to assist in the early detection of Oral Neoplasia. In particular, autofluorescence imaging has emerged as a promising adjunctive technique to improve early identification of Oral premalignant lesions. Direct visual inspection of tissue autofluorescence has shown encouraging results in high-prevalence populations, but the technique requires subjective interpretation and depends on the visual recognition skills of the examiner. Capturing and analyzing digital fluorescence images can reduce subjectivity and potentially improve sensitivity of detection of precancerous changes. Recent studies of wide-field autofluorescence imaging in low-prevalence populations suggest that benign lesions such as i...
-
objective detection and delineation of Oral Neoplasia using autofluorescence imaging
Cancer Prevention Research, 2009Co-Authors: Darren Roblyer, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Cristina Kurachi, Vanda M Stepanek, Jack J Lee, Rebecca RichardskortumAbstract:Although the Oral cavity is easily accessible to inspection, patients with Oral cancer most often present at a late stage, leading to high morbidity and mortality. Autofluorescence imaging has emerged as a promising technology to aid clinicians in screening for Oral Neoplasia and as an aid to resection, but current approaches rely on subjective interpretation. We present a new method to objectively delineate neoplastic Oral mucosa using autofluorescence imaging. Autofluorescence images were obtained from 56 patients with Oral lesions and 11 normal volunteers. From these images, 276 measurements from 159 unique regions of interest (ROI) sites corresponding to normal and confirmed neoplastic areas were identified. Data from ROIs in the first 46 subjects were used to develop a simple classification algorithm based on the ratio of red-to-green fluorescence; performance of this algorithm was then validated using data from the ROIs in the last 21 subjects. This algorithm was applied to patient images to create visual disease probability maps across the field of view. Histologic sections of resected tissue were used to validate the disease probability maps. The best discrimination between neoplastic and nonneoplastic areas was obtained at 405 nm excitation; normal tissue could be discriminated from dysplasia and invasive cancer with a 95.9% sensitivity and 96.2% specificity in the training set, and with a 100% sensitivity and 91.4% specificity in the validation set. Disease probability maps qualitatively agreed with both clinical impression and histology. Autofluorescence imaging coupled with objective image analysis provided a sensitive and noninvasive tool for the detection of Oral Neoplasia.
-
in vivo imaging of Oral Neoplasia using a miniaturized fiber optic confocal reflectance microscope
Oral Oncology, 2008Co-Authors: Kristen C Maitland, Michael R. Descour, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Rebecca RichardskortumAbstract:The purpose of this study was to determine whether in vivo images of Oral mucosa obtained with a fiber optic confocal reflectance microscope could be used to differentiate normal and neoplastic tissues. We imaged 20 Oral sites in eight patients undergoing surgery for squamous cell carcinoma. Normal and abnormal areas within the Oral cavity were identified clinically, and real-time videos of each site were obtained in vivo using a fiber optic confocal reflectance microscope. Following imaging, each site was biopsied and submitted for histopathologic examination. We identified distinct features, such as nuclear irregularity and spacing, which can be used to qualitatively differentiate between normal and abnormal tissue. Representative confocal images of normal, pre-neoplastic, and neoplastic Oral tissue are presented. Previous work using much larger microscopes has demonstrated the ability of confocal reflectance microscopy to image cellular and tissue architecture in situ. New advances in technology have enabled miniaturization of imaging systems for in vivo use.
-
multispectral optical imaging device for in vivo detection of Oral Neoplasia
Journal of Biomedical Optics, 2008Co-Authors: Darren Roblyer, Michelle D Williams, Adel K Elnaggar, Rebecca Richardskortum, Konstantin V Sokolov, Christine Kurachi, Ann Marie GillenwaterAbstract:A multispectral digital microscope MDM is designed and constructed as a tool to improve detection of Oral Neoplasia. The MDM acquires in vivo images of Oral tissue in fluorescence, narrow- band NB reflectance, and orthogonal polarized reflectance OPR modes, to enable evaluation of lesions that may not exhibit high con- trast under standard white light illumination. The device rapidly cap- tures image sequences so that the diagnostic value of each modality can be qualitatively and quantitatively evaluated alone and in combi- nation. As part of a pilot clinical trial, images are acquired from nor- mal volunteers and patients with precancerous and cancerous lesions. In normal subjects, the visibility of vasculature can be enhanced by tuning the reflectance illumination wavelength and polarization. In patients with histologically confirmed Neoplasia, we observe de- creased blue/green autofluorescence and increased red autofluores- cence in lesions, and increased visibility of vasculature using NB and OPR imaging. The perceived lesion borders change with imaging mo- dality, suggesting that multimodal imaging has the potential to provide additional diagnostic information not available using standard white light illumination or by using a single imaging mode alone. © 2008 Society of Photo-Optical Instrumentation Engineers. DOI: 10.1117/1.2904658
Adel K Elnaggar - One of the best experts on this subject based on the ideXlab platform.
-
molecular imaging of glucose uptake in Oral Neoplasia following topical application of fluorescently labeled deoxy glucose
International Journal of Cancer, 2009Co-Authors: Nitin Nitin, Adel K Elnaggar, Ann M Gillenwater, Alicia L Carlson, Timothy J Muldoon, Rebecca RichardskortumAbstract:The clinical value of assessing tumor glucose metabolism via F-18 fluorodeoxyglucose (FDG) PET imaging in oncology is well established; however, the poor spatial resolution of PET is a significant limitation especially for early stage lesions. An alternative technology is optical molecular imaging, which allows for subcellular spatial resolution and can be effectively used with topical contrast agents for imaging epithelial derived cancers. The goal of this study was to evaluate the potential of optical molecular imaging of glucose metabolism to aid in early detection of Oral Neoplasia. Fluorescently labeled deoxyglucose (2-NBDG (2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxy-D-glucose)) was applied topically to tissue phantoms, fresh Oral biopsies (n = 32) and resected tumors specimens (n = 2). High-resolution imaging results show that 2-NBDG can be rapidly delivered to Oral epithelium using topical application. In normal epithelium, the uptake of 2-NBDG is limited to basal epithelial cells. In contrast, high-grade dysplasia and cancers show uptake of 2-NBDG in neoplastic cells throughout the lesion. Following 2-NBDG labeling, the mean fluorescence intensity of neoplastic tissue averages 3.7 times higher than that of matched nonneoplastic Oral biopsies in samples from 20 patients. Widefield fluorescence images of 8-paired Oral specimens were obtained pre and postlabeling with 2-NBDG. Prior to labeling, neoplastic samples showed significantly lower autofluorescence than nonneoplastic samples. The fluorescence of neoplastic samples increased dramatically after labeling; the differential increase in fluorescence was on average 30 times higher in neoplastic samples than in normal samples. Topical application of 2-NBDG can therefore provide image contrast in both widefield and high-resolution fluorescence imaging modalities, highlighting its potential in early detection of Oral Neoplasia.
-
objective detection and delineation of Oral Neoplasia using autofluorescence imaging
Cancer Prevention Research, 2009Co-Authors: Darren Roblyer, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Cristina Kurachi, Vanda M Stepanek, Jack J Lee, Rebecca RichardskortumAbstract:Although the Oral cavity is easily accessible to inspection, patients with Oral cancer most often present at a late stage, leading to high morbidity and mortality. Autofluorescence imaging has emerged as a promising technology to aid clinicians in screening for Oral Neoplasia and as an aid to resection, but current approaches rely on subjective interpretation. We present a new method to objectively delineate neoplastic Oral mucosa using autofluorescence imaging. Autofluorescence images were obtained from 56 patients with Oral lesions and 11 normal volunteers. From these images, 276 measurements from 159 unique regions of interest (ROI) sites corresponding to normal and confirmed neoplastic areas were identified. Data from ROIs in the first 46 subjects were used to develop a simple classification algorithm based on the ratio of red-to-green fluorescence; performance of this algorithm was then validated using data from the ROIs in the last 21 subjects. This algorithm was applied to patient images to create visual disease probability maps across the field of view. Histologic sections of resected tissue were used to validate the disease probability maps. The best discrimination between neoplastic and nonneoplastic areas was obtained at 405 nm excitation; normal tissue could be discriminated from dysplasia and invasive cancer with a 95.9% sensitivity and 96.2% specificity in the training set, and with a 100% sensitivity and 91.4% specificity in the validation set. Disease probability maps qualitatively agreed with both clinical impression and histology. Autofluorescence imaging coupled with objective image analysis provided a sensitive and noninvasive tool for the detection of Oral Neoplasia.
-
in vivo imaging of Oral Neoplasia using a miniaturized fiber optic confocal reflectance microscope
Oral Oncology, 2008Co-Authors: Kristen C Maitland, Michael R. Descour, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Rebecca RichardskortumAbstract:The purpose of this study was to determine whether in vivo images of Oral mucosa obtained with a fiber optic confocal reflectance microscope could be used to differentiate normal and neoplastic tissues. We imaged 20 Oral sites in eight patients undergoing surgery for squamous cell carcinoma. Normal and abnormal areas within the Oral cavity were identified clinically, and real-time videos of each site were obtained in vivo using a fiber optic confocal reflectance microscope. Following imaging, each site was biopsied and submitted for histopathologic examination. We identified distinct features, such as nuclear irregularity and spacing, which can be used to qualitatively differentiate between normal and abnormal tissue. Representative confocal images of normal, pre-neoplastic, and neoplastic Oral tissue are presented. Previous work using much larger microscopes has demonstrated the ability of confocal reflectance microscopy to image cellular and tissue architecture in situ. New advances in technology have enabled miniaturization of imaging systems for in vivo use.
-
multispectral optical imaging device for in vivo detection of Oral Neoplasia
Journal of Biomedical Optics, 2008Co-Authors: Darren Roblyer, Michelle D Williams, Adel K Elnaggar, Rebecca Richardskortum, Konstantin V Sokolov, Christine Kurachi, Ann Marie GillenwaterAbstract:A multispectral digital microscope MDM is designed and constructed as a tool to improve detection of Oral Neoplasia. The MDM acquires in vivo images of Oral tissue in fluorescence, narrow- band NB reflectance, and orthogonal polarized reflectance OPR modes, to enable evaluation of lesions that may not exhibit high con- trast under standard white light illumination. The device rapidly cap- tures image sequences so that the diagnostic value of each modality can be qualitatively and quantitatively evaluated alone and in combi- nation. As part of a pilot clinical trial, images are acquired from nor- mal volunteers and patients with precancerous and cancerous lesions. In normal subjects, the visibility of vasculature can be enhanced by tuning the reflectance illumination wavelength and polarization. In patients with histologically confirmed Neoplasia, we observe de- creased blue/green autofluorescence and increased red autofluores- cence in lesions, and increased visibility of vasculature using NB and OPR imaging. The perceived lesion borders change with imaging mo- dality, suggesting that multimodal imaging has the potential to provide additional diagnostic information not available using standard white light illumination or by using a single imaging mode alone. © 2008 Society of Photo-Optical Instrumentation Engineers. DOI: 10.1117/1.2904658
-
a far red fluorescent contrast agent to image epidermal growth factor receptor expression
Photochemistry and Photobiology, 2004Co-Authors: Elizabeth R Hsu, Adel K Elnaggar, Ann M Gillenwater, Jesse Aaron, Konstantin V Sokolov, Eric V Anslyn, Su F Dharmawardhane, Reza Alizadehnaderi, Rebecca RichardskortumAbstract:Recent developments in optical technologies have the potential to improve the speed and accuracy of screening and diagnosis of curable precancerous lesions and early cancer, thereby decreasing the costs of detection and management of epithelial malignancies. The development of molecular-specific contrast agents for markers of early neoplastic transformation could improve the detection and molecular characterization of premalignant lesions. In the Oral cavity, epidermal growth factor receptor (EGFR) overexpression has been identified in early stages of premalignant lesions of the Oral squamous cell carcinoma; therefore, real-time assessment of EGFR expression could serve as a biomarker for Oral Neoplasia. The purpose of our study was to develop a molecular-specific optical contrast agent targeted against EGFR for in vivo assessment of epithelial Neoplasia using a monoclonal antibody and the far-red fluorescent dye, Alexa Fluor 660 streptavidin. In addition to demonstrating the specificity of the contrast agent for EGFR in cell lines, we document the ability to achieve penetration through 500 lm thick epithelial layers using multilayer tissue constructs and permeability-enhancing agents. Finally, using the fluorescence intensity of the contrast agent on fresh Oral cavity tissue sections, we were able to distinguish abnormal from normal Oral tissue. This contrast agent should have important clinical applications for use in conjunction with fluorescence spectroscopy or imaging (or both) to facilitate tumor detection and demarcation.
Michelle D Williams - One of the best experts on this subject based on the ideXlab platform.
-
accuracy of in vivo multimodal optical imaging for detection of Oral Neoplasia
Cancer Prevention Research, 2012Co-Authors: Michelle D Williams, Rebecca Richardskortum, Jack J Lee, Mark C Pierce, Richard A Schwarz, Vijayashree S Bhattar, Sharon Mondrik, Ann Marie GillenwaterAbstract:If detected early, Oral cancer is eminently curable. However, survival rates for Oral cancer patients remain low, largely due to late-stage diagnosis and subsequent difficulty of treatment. To improve clinicians' ability to detect early disease and to treat advanced cancers, we developed a multimodal optical imaging system (MMIS) to evaluate tissue in situ , at macroscopic and microscopic scales. The MMIS was used to measure 100 anatomic sites in 30 patients, correctly classifying 98% of pathologically confirmed normal tissue sites, and 95% of sites graded as moderate dysplasia, severe dysplasia, or cancer. When used alone, MMIS classification accuracy was 35% for sites determined by pathology as mild dysplasia. However, MMIS measurements correlated with expression of candidate molecular markers in 87% of sites with mild dysplasia. These findings support the ability of noninvasive multimodal optical imaging to accurately identify neoplastic tissue and premalignant lesions. This in turn may have considerable impact on detection and treatment of patients with Oral cancer and other epithelial malignancies. Cancer Prev Res; 5(6); 801–9. ©2012 AACR .
-
objective detection and delineation of Oral Neoplasia using autofluorescence imaging
Cancer Prevention Research, 2009Co-Authors: Darren Roblyer, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Cristina Kurachi, Vanda M Stepanek, Jack J Lee, Rebecca RichardskortumAbstract:Although the Oral cavity is easily accessible to inspection, patients with Oral cancer most often present at a late stage, leading to high morbidity and mortality. Autofluorescence imaging has emerged as a promising technology to aid clinicians in screening for Oral Neoplasia and as an aid to resection, but current approaches rely on subjective interpretation. We present a new method to objectively delineate neoplastic Oral mucosa using autofluorescence imaging. Autofluorescence images were obtained from 56 patients with Oral lesions and 11 normal volunteers. From these images, 276 measurements from 159 unique regions of interest (ROI) sites corresponding to normal and confirmed neoplastic areas were identified. Data from ROIs in the first 46 subjects were used to develop a simple classification algorithm based on the ratio of red-to-green fluorescence; performance of this algorithm was then validated using data from the ROIs in the last 21 subjects. This algorithm was applied to patient images to create visual disease probability maps across the field of view. Histologic sections of resected tissue were used to validate the disease probability maps. The best discrimination between neoplastic and nonneoplastic areas was obtained at 405 nm excitation; normal tissue could be discriminated from dysplasia and invasive cancer with a 95.9% sensitivity and 96.2% specificity in the training set, and with a 100% sensitivity and 91.4% specificity in the validation set. Disease probability maps qualitatively agreed with both clinical impression and histology. Autofluorescence imaging coupled with objective image analysis provided a sensitive and noninvasive tool for the detection of Oral Neoplasia.
-
in vivo imaging of Oral Neoplasia using a miniaturized fiber optic confocal reflectance microscope
Oral Oncology, 2008Co-Authors: Kristen C Maitland, Michael R. Descour, Ann Marie Gillenwater, Michelle D Williams, Adel K Elnaggar, Rebecca RichardskortumAbstract:The purpose of this study was to determine whether in vivo images of Oral mucosa obtained with a fiber optic confocal reflectance microscope could be used to differentiate normal and neoplastic tissues. We imaged 20 Oral sites in eight patients undergoing surgery for squamous cell carcinoma. Normal and abnormal areas within the Oral cavity were identified clinically, and real-time videos of each site were obtained in vivo using a fiber optic confocal reflectance microscope. Following imaging, each site was biopsied and submitted for histopathologic examination. We identified distinct features, such as nuclear irregularity and spacing, which can be used to qualitatively differentiate between normal and abnormal tissue. Representative confocal images of normal, pre-neoplastic, and neoplastic Oral tissue are presented. Previous work using much larger microscopes has demonstrated the ability of confocal reflectance microscopy to image cellular and tissue architecture in situ. New advances in technology have enabled miniaturization of imaging systems for in vivo use.
-
multispectral optical imaging device for in vivo detection of Oral Neoplasia
Journal of Biomedical Optics, 2008Co-Authors: Darren Roblyer, Michelle D Williams, Adel K Elnaggar, Rebecca Richardskortum, Konstantin V Sokolov, Christine Kurachi, Ann Marie GillenwaterAbstract:A multispectral digital microscope MDM is designed and constructed as a tool to improve detection of Oral Neoplasia. The MDM acquires in vivo images of Oral tissue in fluorescence, narrow- band NB reflectance, and orthogonal polarized reflectance OPR modes, to enable evaluation of lesions that may not exhibit high con- trast under standard white light illumination. The device rapidly cap- tures image sequences so that the diagnostic value of each modality can be qualitatively and quantitatively evaluated alone and in combi- nation. As part of a pilot clinical trial, images are acquired from nor- mal volunteers and patients with precancerous and cancerous lesions. In normal subjects, the visibility of vasculature can be enhanced by tuning the reflectance illumination wavelength and polarization. In patients with histologically confirmed Neoplasia, we observe de- creased blue/green autofluorescence and increased red autofluores- cence in lesions, and increased visibility of vasculature using NB and OPR imaging. The perceived lesion borders change with imaging mo- dality, suggesting that multimodal imaging has the potential to provide additional diagnostic information not available using standard white light illumination or by using a single imaging mode alone. © 2008 Society of Photo-Optical Instrumentation Engineers. DOI: 10.1117/1.2904658
Gracie Vargas - One of the best experts on this subject based on the ideXlab platform.
-
designing a multimodal imaging workflow for large area fluorescence with nonlinear optical microscopy for Oral Neoplasia detection preclinical model and clinical sample study
Multiscale Imaging and Spectroscopy II, 2021Co-Authors: Rahul Pal, Paula Villarreal, Suimin Qiu, Orly Coblens, Gracie VargasAbstract:The recognized need to develop better clinical approaches for detection of epithelial cancers and potentially malignant lesions than currently used has motivated work in development of noninvasive fluorescence imaging devices. While individual large area imaging and microscopic techniques are promising, recent trends have explored combinations that could merge strengths. The study will discuss a workflow to combine strengths of label-free nonlinear optical microscopy (NLOM) which has shown promise for optical biopsy but is limited in scannable area with widefield autofluorescence microscopy providing large surface area assessment, in studies conducted in both a hamster model for Oral Neoplasia and inflammation and in surgical Oral cancer specimens.
-
multimodal widefield fluorescence imaging with nonlinear optical microscopy workflow for noninvasive Oral epithelial Neoplasia detection a preclinical study
Journal of Biomedical Optics, 2020Co-Authors: Rahul Pal, Paula Villarreal, Suimin Qiu, Gracie VargasAbstract: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.