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Imaging Of Central Nervous System Tumors With Access Code at Meripustak

Imaging Of Central Nervous System Tumors With Access Code by Dr. Soonme Cha , Wolters Kluwer Health

Books from same Author: Dr. Soonme Cha

Books from same Publisher: Wolters Kluwer Health

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  • General Information  
    Author(s)Dr. Soonme Cha
    PublisherWolters Kluwer Health
    ISBN9781975103743
    Pages416
    BindingPaperback
    LanguageEnglish
    Publish YearJanuary 2022

    Description

    Wolters Kluwer Health Imaging Of Central Nervous System Tumors With Access Code by Dr. Soonme Cha

    Organized according to the 2016 World Health Organization (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. 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. 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.Enrich Your eBook Reading ExperienceRead directly on your preferred device(s), such as computer, tablet, or smartphone.Easily convert to audiobook, powering your content with natural language text-to-speech.



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