Imaging of Central Nervous System Tumours

IMAGING OF CENTRAL NERVOUS SYSTEM TUMOURS

Imaging of Central Nervous System Tumours

Organized according to the 2016 WHO Classification of Tumors of the Central Nervous System, Imaging of CNS Tumors is a concise imaging reference for CNS tumors as well as tumor mimics. 

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Auteur(s) Soonmee Cha
Éditeur WOLTERS KLUWER
Date 18/10/2021
Taille 0 X 0
Type Relié
ISBN 9781975103743

Description détaillée : Imaging of Central Nervous System Tumours

This unique, heavily illustrated title covers essential imaging features of more than 120 different types of brain and spine tumors, making it a valuable resource for residents and practitioners in radiology, neurosurgery, neuro-oncology, neuropathology, and neurology, as well as for medical and graduate students and research scientists with interest in CNS tumors.

  

What is the content of "Imaging of Central Nervous System Tumours" ?

  • Describes imaging diagnostic criteria, specific imaging features, and associated molecular or genetic alterations in a strictly tumor-oriented manner with presentation of each tumor entity closely following the 2016 WHO Classification of Tumors of the Central Nervous System, considered the authority and international standard for tumor classification.
  • Covers imaging features as well as brief epidemiology, histopathology, molecular biology, and genetics of CNS tumors.
  • Features hundreds of illustrations that clearly depict CNS tumors and tumor mimics, helping you differentiate even your most challenging cases.
  • Reflects changes in terminology and addition and deletion of distinct entities from the 2016 WHO classification updates.

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Who is the author of "Imaging of Central Nervous System Tumours" ?

Soonmee Cha, MD, is a Professor In Residence of Radiology and Neurological Surgery at the University of California, San Francisco, CA, USA. She is the Diagnostic Radiology Residency Program Director, and she is Radiology's Vice-Chair of Education. Dr. Cha has focused on the importance of validating the usefulness of MRI as a tool for brain tumor diagnosis, monitoring and identifying therapy endpoints.

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