Oral Diagnosis (PDF)
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The overall goal of this book is to provide the reader with an understanding of the new minimally invasive techniques that are available for the purpose of diagnostic imaging in dentistry and to explain their impact on clinical practice. The book concentrates very much on those techniques that are clinically applicable and useful to dentists NOW, although it also provides a fascinating view to the future. The chapters are divided according to the major clinical topics in dentistry. Each chapter provides considerable visual content, including flow charts, schematics, and photographs. The principles of the technologies presented are discussed in an overview format, with greater detail and focus on the ensuing clinical application techniques and the data that they can generate. The strengths and limitations of the novel modalities are highlighted. Finally, the interface between the data and their capacity for improving clinical outcomes through better diagnosis is discussed. Allof the authors have been selected on the basis of their pre-eminence in the field.
Janet Ajdaharian (BA, BSc) is a Junior Specialist at the Beckman Laser Institute and Medical Clinic, University of California, Irvine, CA, USA, where she is a senior project manager for clinical and translational research. Her areas of expertise include laser use in dentistry/oral medicine for non-invasive diagnostics and therapeutics and the use of optical coherence tomography for early detection and monitoring of oral precancerous and cancerous changes. Her work includes collaborations to develop and validate a simple oral cancer screening tool for use by non-expert screeners, and using optical techniques for the early detection of oral effects of cancer therapy. She has co-authored several journal articles in her areas of interest.
- 2019, 1st ed. 2020, 115 Seiten, Englisch
- Herausgegeben: Petra Wilder-Smith, Janet Ajdaharian
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030192504
- ISBN-13: 9783030192501
- Erscheinungsdatum: 30.11.2019
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- Größe: 7.02 MB
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