Validity of US in Predicting CLNs Metastasis in Patients with OSCC

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2017, 2017

3330329084 / 9783330329089

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This item is printed on demand - Print on Demand Titel. Neuware -Oral Squamous Cell Carcinoma (OSCC) is the most common malignant tumor in the world despite the advances in diagnosis and radiological imaging. Ultrasonography can improve the diagnostic accuracy, but good results are dependent on the operator expertise. In this book we presented two ways that can help in predicting metastatic cervical lymph node (CLN) images in patients with OSCC, independent on ultrasound (US) diagnostic criteria and operator expertise: 1. A Discriminant model that depends on the strongest predictive US criteria for metastasis. The model equation provides the physician a reliable probability guidance for managing cervical LN metastasis. It helps in managing controversial CLNs in patients with low-risk metastasis to be under observation rather than performing subsequent biopsies and neck dissections. 2. A Programming Code that works independently on US diagnostic criteria and operator expertise. The technique of the Code is based on the center of graph (C.O.G) in the Y axis of the histogram calculation for the node area. To our knowledge, this might be the first study that has used the C.O.G of image histogram to diagnose metastatic CLNs.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.…

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Title
Validity of US in Predicting CLNs Metastasis in Patients with OSCC
Author
Rand Al-Ani
Publisher
LAP LAMBERT Academic Publishing Jun 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330329084
ISBN 13
9783330329089
Item weight
244 grams
Dimensions
220x150x10 mm

buchversandmimpf2000

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