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Oral cancer is one of the significant global health concerns with reports of more than ten million new cases and mortality of six million, each year. The current clinical procedure for oral cancer detection is visual examination followed by histopathological analysis of biopsied lesion. However, this procedure often leads to multiple biopsies due to the difficulty in identifying the most malignant site for biopsy and that the procedure is invasive and time-consuming in nature. This book presents an overview of non-invasive and real-time diagnostic techniques based on tissue fluorescence and diffuse reflectance to detect oral cancer using both point monitoring and multi-spectral imaging. The clinical study results of diffuse reflectance spectral imaging at oxygenated hemoglobin absorption dips establish the potential of this imaging modality in detecting squamous cell carcinoma affecting epithelial tissues of various organs and for biopsy guidance. The ability to observe disease onset and progression through non-invasive and cost effective screening methods at the population level would help to implement prevention and treatment strategies at an early stage.
Ch. 1. The optical detection of cancer: an introduction / Toby Steele and Arlen Meyers -- ch. 2. Optical coherence tomography in oral cancer / Shahareh Sabet and Petra Wilder-Smith -- ch. 3. Optical coherence tomography in laryngeal cancer / Marcel Kraft and Christoph Arens -- ch. 4. Fluorescence imaging of the upper aerodigestive tract / Christian Stephan Betz, Andreas Leunig and Christoph Arens -- ch. 5. Photodynamic diagnosis and photodynamic therapy techniques / Zheng Huang -- ch. 6. OCT detection of lung cancer / S. Murgu and M. Brenner -- ch. 7. Diffuse optical spectroscopy and imaging in breast cancer / Albert E. Cerussi and Bruce J. Tromberg -- ch. 8. OCT for skin cancer / Gordon McKenzie and Adam Meekings
This is an interdisciplinary book that presents the applications of novel laser spectroscopy and imaging techniques for the detection of cancers recently developed by some of the world's most renown researchers. The book consists of three parts and a total of 16 chapters. Each chapter is written by leading experts who are actively seeking to develop novel spectroscopic and analytical methods for cancer detection and diagnosis.In Part I, the authors present fundamentals on optics, atoms and molecules, biophysics, cancer and machine learning. These chapters are intended for those who are not experts in the field but wish to learn about fundamentals' aspects of some of the key topics that are addressed in this book. Particular attention has been given to providing key references for those who wish to go further into the fundamental aspects of atoms and molecules, light-matter interaction, optical instrumentation, machine learning and cancer.In Part II, the authors present key applications of various laser spectroscopic methods in cancer diagnosis. They have provided recent progress in cancer diagnostics obtained by combining laser spectroscopy and machine learning for the analysis of the spectra acquired from biomedical tissues and biofluids.In Part III, the authors present chapters that discuss key developments in the applications of various laser imaging techniques for cancer detection.This is one of the few books that addresses cancer detection and diagnosis using laser spectroscopic and imaging tools with an eye on providing the reader the scientific tools, including machine learning ones.
This book provides an in-depth description and discussion of different multi-modal diagnostic techniques for cancer detection and treatment using exact optical methods, their comparison, and combination. Coverage includes detailed descriptions of modern state of design for novel methods of optical non-invasive cancer diagnostics; multi-modal methods for earlier cancer diagnostic enhancing the probability of effective cancer treatment; modern clinical trials with novel methods of clinical cancer diagnostics; medical and technical aspects of clinical cancer diagnostics, and long-term monitoring. Biomedical engineers, cancer researchers, and scientists will find the book to be an invaluable resource. Introduces optical imaging strategies; Focuses on multimodal optical diagnostics as a fundamental approach; Discusses novel methods of optical non-invasive cancer diagnostics.
This dissertation focuses on the development of algorithms for analyzing and modeling of the signals from optical spectroscopy. This dissertation is motivated by the detection of oral cancer, but some of the methods developed can be generalized to epithelial cancers of other sites. Two main topics are covered in this dissertation: Analysis and Modeling. For analysis, the focus is on developing algorithms to make diagnostic predictions. The analysis methods are empirically tested using an oral cancer dataset. Statistical analyses show that polarized reflectance spectroscopy has the potential to aid screening and diagnosis of oral cancer. Also, a novel adaptive windowing technique is developed to extract spectral features with fewer windows that retain the diagnostic information. For modeling, a Monte Carlo model simulating light-tissue interactions is presented to aid in the design of diagnostic instrumentation.
To describe principles of optical imaging including chemistry and physics of fluorescence, limitations/advantages of optical imaging compared to metabolic and anatomic imaging. Describe hardware adapted for small animal imaging and for clinical applications: endoscopes and operative microscopes. Outline FDA approved and newer optical imaging probes. Include discussion of chemistry and linkage to other proteins. Review current techniques to image cancer and the development of techniques to specifically image cancer cells. Review use of exploiting differences in tissue autofluorescence to diagnose and treat cancer. Include agents such as 5-aminoleculinic acid. Review mechanisms that require proteolytic processing within the tumor to become active fluorophores. Review use of cancer selective proteins to localize probes to cancer cells: include toxins, antibodies, and minibodies. Introduction of plasmids, viruses or other genetic material may be used to express fluorescent agents in vivo. This chapter will review multiple vectors and delivery mechanisms of optical imaging cassettes.Preclinical investigations into the use of optical contrast agents for the detection of primary tumors in conventional and orthotopic models will be discussed. Preclinical investigations into the use of optical contrast agents for the detection of metastatic tumors in mouse models will be discussed. Use of targeted and non-specific optical contrast agents have been used for the detection of sentinel lymph node detection. These applications and how they differ from other applications will be discussed. Because of the unique difficulty of identifying tumor from normal tissue in brain tissue, a separate chapter would be needed. More clinical data is available for this cancer type than any other. Discussion of potential clinical applications for optical imaging and an assessment of the potential market.
Abstract: Near infrared spectroscopy has been widely used to characterize optical and physiologic properties of biological tissues. A dynamic test scheme was proposed to characterize relative changes of tissue physiologic properties in response to external mechanical stimuli. Previous clinical results have demonstrated its feasibility to characterize suspicious breast lesions. However, intrinsic coupling between tissue mechanical and physiologic responses presents a big challenge for qualitative analysis. We investigated the coupling phenomena on a bench-top setup using different compression profiles and different test samples. Test results on both tissue simulating phantoms and biological tissues suggested the feasibility of decoupling tissue responses for simultaneous characterization of tissue mechanical and physiologic dynamics.
This dissertation describes the design, fabrication and testing of an oblique incidence diffuse reflectance spectrometry (OIDRS) system for in-vivo and noninvasive detection of epithelial cancer. Two probes were fabricated using micromachining technology, which plays a significant role in the probe development by enabling device miniaturization, low-cost fabrication and precise assembly. The fist probe was developed and clinically tested for skin cancer detection. This probe consists of three source fibers, two linear array of collection fibers and four micromachined positioning devices for accurate alignment of the fibers. The spatially resolved diffuse reflectance spectra from 167 pigmented and 78 non-pigmented skin abnormalities were measured and used to design a set of classifiers to separate them into benign or malignant ones. These classifiers perform with an overall classification rate of 91%. The absorption and reduced scattering coefficient spectra were estimated to link the anatomic and physiologic properties of the lesions with the optical diagnosis. The melanoma cases presented larger average absorption and reduced scattering spectra than the dysplastic and benign ones. A second probe was designed to demonstrate the feasibility of a miniaturized?side viewing? optical sensor probe for OIDRS. The sensor probe consists of a lithographically patterned polymer waveguides chip and two micromachined positioning substrates. This miniaturize probe was used to measure twenty ex-vivo esophageal samples. Two statistical classifiers were designed to separate the esophageal cases. The first one distinguishes benign and low dysplastic from high dysplastic and cancerous lesions. The second classifier separates benign lesions from low dysplastic ones. Both classifiers generated a classification rate of 100%.