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 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.

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

A statistical method was developed and used to perform binary and multiclass classification of the normal, benign and malignant tissue types. Receiver operating characteristic (ROC) analysis was employed to determine the optimal model for classification yielding maximum sensitivity and specificity. The optical channel-based classification gave better results compared to technique-based classification. The neoplastic and non-neoplastic tissues were discriminated with 100% sensitivity and 100% specificity. In multiclass classification, the benign was detected with 100% sensitivity and 95.2% specificity and the malignant was classified with 100% sensitivity and 71.4% specificity. In summary, an optical diagnostic model for unbiased classification of normal, benign and malignant lesions was developed. The diagnostic optical biomarkers identified, helped to perform label-free imaging. This multi-modal imaging approach showed the potential to serve as a reliable screening tool for pathologists to objectively identify the diseased cases.

In 2021, over 537 million people worldwide were diagnosed with diabetes, according to the International Diabetes Federation and so the diagnosis, care and treatment of patients with diabetes mellitus have become one of the highest healthcare priorities. Biomedical photonics methods have been found to significantly improve and assist in the diagnosis of various disorders and complications arising from diabetes. These methods have also been widely used in various studies in the field of diabetes, including in the assessment of biochemical characteristics, metabolic processes, and microcirculation that are impaired in this disease. This book provides an introduction to methods of biomedical photonics. The chapters, written by world-leading experts, cover a wide range of issues, including the theoretical basis of different biophotonics methods and practical issues concerning the conduction of experimental studies to diagnose disorders associated with diabetes. It provides a comprehensive summary of the recent advances in biomedical optics and photonics in the study of diabetes and related complications. This book will be of interest to biomedical physicists and researchers, in addition to practicing doctors and endocrinologists looking to explore new instrumental methods for monitoring the effectiveness of patient treatment. Features • The first collective book combining accumulated knowledge and experience in the field of diabetes research using biophotonics. • Contributions from leading experts in the field. • Combines the theoretical base of the described methods and approaches, as well as providing valuable practical guidance and the latest research from experimental studies.