9783330329089 - validity of us in predicting clns metastasis in patients with oscc di al-ani, rand; ibrahim, usama; najim, qais (7 risultati)
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Validity of US in Predicting CLNs Metastasis in Patients with OSCC | Rand Al-Ani (u. a.) | Taschenbuch | 152 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330329089 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[…dot]de | Anbieter: preigu.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 152 pages. 8.66x5.91x0.35 inches. In Stock.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 152 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Ani RandRand Sh. Al-Ani, B.D.S., M.Sc., Ph.D., is a lecturer in the Department of Oral and Maxillofacial Surgery in College of Dentistry/ University of Mosul / IRAQ. Her researches focus on Oral and… Dental Radiology. For this re.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. 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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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 o…perator 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.
