Biopsy Pathology of Melanocytic Disorders (Biopsy Pathology Series) ePub download
by T. Krausz,W. J. Mooi
- ISBN: 0412323508
- ISBN13: 978-0412323508
- ePub: 1956 kb | FB2: 1221 kb
- Language: English
- Category: Medicine & Health Sciences
- Publisher: Springer; 1st edition (January 1, 1998)
- Pages: 433
- Rating: 4.4/5
- Votes: 530
- Format: rtf txt azw doc
Biopsy Pathology Series.
Biopsy Pathology Series. eBook 71,39 €. price for Russian Federation (gross). ISBN 978-1-4899-6908-8.
Описание: Featuring advances in the field of melanoma pathology, this book contains sections on the genetics and cytogenetics of melanoma, the sentinel lymph node procedure, the AJCC TNM staging system for melanoma and the mechanisms of melanoma metastasis. It illustrates each lesion and diagnosis with digitally enhanced color photomicrographs and tables.
Series: Biopsy Pathology Series. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. File: PDF, 1. 7 MB. Читать онлайн.
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This handbook shows how a diagnosis can be reached on a renal biopsy specimen and what information taken from a.
This handbook shows how a diagnosis can be reached on a renal biopsy specimen and what information taken from a specimen is clinically significant and helpful. It shows how the diagnosis can be made starting from simple information, the clinical indication for biopsy, followed by interpretation of changes seen in the specimen. The emphasis is on common conditions and on the rule that diseases give characteristic clinical features. Other features include practical tips on the differentiation between possible diagnoses and information about eponyms.
J. Mooi (Author), T. Krausz (Author). 42 (1) Usually ships within 6 to 10 days. ISBN-13: 978-0412323508.
The current diagnostic standard of biopsy and histological examination inevitably leads to many unnecessary invasive excisions. Here, we propose a non-invasive method of identification of melanoma based on blood flow dynamics. We consider a wide frequency range from . 05–2 Hz associated with both local vascular regulation and effects of cardiac pulsation. Combining uniquely the power of oscillations associated with individual physiological processes we obtain a marker which distinguishes between melanoma and atypical nevi with sensitivity of 100% and specificity of 9. %