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Imaging of Soft Tissue Tumors

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Cover of 'Imaging of Soft Tissue Tumors'

Table of Contents

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    Book Overview
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    Chapter 1 Ultrasound and Color Doppler Ultrasound of Soft Tissue Tumors and Tumorlike Lesions
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    Chapter 2 Radiography and Computed Tomography
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    Chapter 3 PET and PET-CT in Soft Tissue Sarcoma
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    Chapter 4 Magnetic Resonance Imaging: Basic Concepts
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    Chapter 5 Magnetic Resonance Imaging: Advanced Imaging Techniques
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    Chapter 6 Pathology, Genetics, and Molecular Biology of Soft Tissue Tumors
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    Chapter 7 Biopsy of Soft Tissue Tumors
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    Chapter 8 Staging
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    Chapter 9 Grading and Tissue-Specific Diagnosis
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    Chapter 10 Diagnostic Algorithm of Soft Tissue Tumors
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    Chapter 11 WHO Classification of Soft Tissue Tumors
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    Chapter 12 Adipocytic Tumors
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    Chapter 13 Fibroblastic/Myofibroblastic Tumors
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    Chapter 14 So-Called Fibrohistiocytic Tumours
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    Chapter 15 Tumors of Smooth and Skeletal Muscle and Pericytic Tumors
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    Chapter 16 Vascular Tumors
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    Chapter 17 Nerve Sheath Tumors
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    Chapter 18 Tumors of Uncertain Differentiation
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    Chapter 19 Undifferentiated/Unclassified Sarcoma
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    Chapter 20 Synovial Lesions
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    Chapter 21 Pseudotumoral Lesions
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    Chapter 22 Soft Tissue Lymphoma
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    Chapter 23 Soft Tissue Metastases
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    Chapter 24 Miscellaneous
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    Chapter 25 Imaging of Soft Tissue Tumors in the Pediatric Patient
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    Chapter 26 Follow-Up Imaging of Soft Tissue Tumors
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    Chapter 27 Erratum to: Tumors of Uncertain Differentiation
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Title
Imaging of Soft Tissue Tumors
Published by
Springer Nature, January 2017
DOI 10.1007/978-3-319-46679-8
ISBNs
978-3-31-946677-4, 978-3-31-946679-8
Editors

Filip M. Vanhoenacker, Paul M. Parizel, Jan L. Gielen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Japan 1 <1%
France 1 <1%
Unknown 185 97%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 26 14%
Student > Master 24 13%
Other 20 11%
Student > Bachelor 18 9%
Researcher 15 8%
Other 34 18%
Unknown 53 28%
Readers by discipline Count As %
Medicine and Dentistry 97 51%
Agricultural and Biological Sciences 5 3%
Nursing and Health Professions 5 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Engineering 4 2%
Other 17 9%
Unknown 58 31%