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Research Methods in Radiology

Research Methods in Radiology

A Practical Guide

by George TomlinsonAndrea S. Doria Joseph Beyene and others
Paperback
Publication Date: 09/02/2018

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Research Methods in Radiology provides concise, practical insights on how to design clinical and experimental studies in diagnostic imaging.

This unique resource encompasses contributions from leaders in academic radiology as well as top epidemiologists, biostatisticians, and librarians with vast multidisciplinary and radiology research experience. The material reflects years of expertise teaching core biostatistics in radiology principles to residents, fellows, radiologists, and epidemiologists.

Given the vast amount of published information on research methodology and statistics in radiology, the authors' goal was to write a high-yield review and study tool rather than a comprehensive book. Key topics are succinctly addressed in each chapter, including measurements in radiology; decision analysis in radiology; and systemic reviews, evidence-based imaging, and knowledge translation. Online exercises related to each topic enable residents to prepare for radiology board examinations and research radiologists to apply knowledge to clinical studies.

Book Features

  • Introductory chapters on analysis of diagnostic tests, linear and logistic regression, meta-analysis, statistical inference, and economic evaluation provide easy-to-follow tutorials
  • Each chapter includes learning objectives, basic concepts, supplementary tables, and ancillary online material
  • Case studies with images, graphs, and tables highlight primary "take home" points
  • Sample size calculations are illustrated for a wide range of research questions
  • Code is included for use in R, free open-source software for statistical analysis

This book is an indispensable review of research methodology for radiology students and residents. Practicing clinicians will also benefit from this precisely focused reference tool on clinical and experimental research.

ISBN:
9781604068269
9781604068269
Category:
Medical physics
Format:
Paperback
Publication Date:
09-02-2018
Language:
English
Publisher:
Thieme Medical Publishers, Incorporated
Country of origin:
United States
Pages:
328
Dimensions (mm):
178x254x18mm
Weight:
0.75kg
Andrea S. Doria

Andrea Doria, MD, PhD, MSc, is a paediatric radiologist/research director (Department of Diagnostic Imaging at the Hospital for Sick Children, Toronto) and Associate Professor and Associate Vice-Chair of Research (Department of Medical Imaging) at the University of Toronto, Canada. Her passion is the investigation of potential imaging markers to track angiogenesis-related factors and early cartilage degeneration in arthritis, particularly in children.

Dr. Doria received the 2002 John Caffey Award for her work on BOLD MRI in experimental arthritis and the 2003 John Kirkpatrick Young Investigator Award for her meta-analysis in appendicitis.

Her research has improved understanding of the biologic rationale for hypoxia in inflamed joints and has contributed to evidence-based guidance on the diagnostic accuracy of ultrasound and magnetic resonance imaging scoring systems and protocols for the assessment of several diseases including haemophilia.

She is currently Co-Chair of the Special Interest Pediatric Imaging Group of the Outcome Measures of Rheumatic Diseases International Group and a Leader for the Development of Imaging Registries for Collection of “Big Data” group for the American College of Radiology Committee on Pediatric Imaging Research.

Rahim Moineddin

Dr. Rahim Moineddin currently serves as a full professor at the Department of Family and Community Medicine and the Dalla Lana School of Public Health, both at the University of Toronto, and as an adjunct Scientist at the Institute for Clinical Evaluation Sciences (ICES). He has more than 30 years of experience in Statistics and Biostatistics, with more than 250 scientific publications.

Rahim obtained his PhD in statistics from the University of Kent, United Kingdom, and his Master’s degree in biostatistics from the University of Toronto, Canada. Dr. Moineddin has collaborated widely on numerous research projects in Medical Imaging and many other fields of medicine.

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