Translational Interventional Radiology (eBook, ePUB)

Redaktion: Eltorai, Adam E. M.; Kalva, Sanjeeva P.; Chand, Rajat; Liu, Tao

• Format: ePub

Produktbeschreibung

Translational Interventional Radiology, a volume in the Handbook for Designing and Conducting Clinical and Translational Research series, covers the principles of evidence-based medicine and applies these principles to the design of translational investigations in Interventional Radiology. The reader will come to fully understand important concepts including case-control study, prospective cohort study, randomized trial, and reliability study. Medical researchers will benefit from greater confidence in their ability to initiate and execute their own investigations, avoid common pitfalls in Interventional Radiology, and know what is needed for successful collaboration. Further, this reference is an indispensable tool in grant writing and funding efforts. The practical, straightforward approach helps aspiring investigators navigate challenging considerations in study design and implementation. This book provides valuable discussions of the critical appraisal of published studies in Interventional Radiology, elucidating the evaluation of the quality with respect to measuring outcomes and making effective use of all types of evidence in patient care. In short, this practical guide will be of interest to every medical researcher and interventional radiologist who has ever had a good clinical idea but not the knowledge of how to test it.

• Focuses on the principles of evidence-based medicine and applies these principles to the design of translational investigations within interventional radiology
• Provides a practical, straightforward approach that helps investigators navigate challenging considerations in study design and implementation
• Details discussions of the critical appraisal of published studies in interventional radiology, supporting evaluation with respect to measuring outcomes and making effective use of all types of evidence in patient care

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 598
• Erscheinungstermin: 5. April 2023
• Englisch
• ISBN-13: 9780128230558
• Artikelnr.: 67731008

Inhaltsangabe

INTRODUCTION 1. Translational Process
2. Scientific Method
3. Basic research PRE-CLINICAL: DISCOVERY AND DEVELOPMENT 4. Overview of preclinical research
5. Defining the problem to solve
6. Types of problems
7. Types of Interventions
8. Drug discovery
9. Drug safety
10. Device discovery
11. Device prototyping
12. Device classification
13. Device testing
14. Diagnostic testing
15. Other product types
16. Procedural technique development
17. Behavioral intervention CLINICAL: FUNDAMENTALS 18. Introduction to clinical research: What is it? Why is it needed?
19. The question: Types of research questions and how to develop them
20. Study population: Who and why them?
21. Outcome measurements: What data is being collected and why?
22. Optimizing the question: Balancing significance and feasibility STATISTICAL PRINCIPLES 23. Common issues in analysis
24. Basic statistical principles
25. Distributions
26. Hypotheses and error types
27. Power
28. Regression
29. t-test
30. Chi-square
31. Analysis of variance
32. Correlation
33. Biases
34. Basic science statistics CLINICAL: STUDY TYPES 35. Design principles: Hierarchy of study types
36. Case series: Design, measures, classic example
37. Case-control study: Design, measures, classic example
38. Cohort study: Design, measures, classic example
39. Cross-section study: Design, measures, classic example
40. Longitudinal study: Design, measures, classic example
41. Clinical trials: Design, measures, classic example
42. Meta-analysis: Design, measures, classic example
43. Cost-effectiveness analysis: Design, measures, classic example
44. Diagnostic test evaluation: Design, measures, classic example
45. Reliability study: Design, measures, classic example
46. Surveys and questionnaires: Design, measures, classic example
47. Qualitative methods and mixed methods CLINICAL TRIALS 48. Randomized control: Design, measures, classic example
49. Nonrandomized control: Design, measures, classic example
50. Historical control: Design, measures, classic example
51. Cross-over: Design, measures, classic example
52. Withdrawal studies: Design, measures, classic example
53. Factorial design: Design, measures, classic example
54. Group allocation: Design, measures, classic example
55. Large, pragmatic: Design, measures, classic example
56. Equivalence and noninferiority: Design, measures, classic example
57. Adaptive: Design, measures, classic example
58. Randomization: Fixed or adaptive procedures
59. Blinding: Who and how?
60. Multicenter considerations
61. Registries
62. Phases of clinical trials
63. IDEAL Framework
64. Artificial Intelligence
65. Patient perspectives CLINICAL: PREPARATION 66. Meaningful outcome measurements
67. Sample size
68. Budgeting
69. Ethics and review boards
70. Regulatory considerations for new drugs and devices
71. Funding approaches
72. Subject recruitment
73. Data management
74. Quality control
75. Statistical software
76. Report forms: Harm and Quality of Life
77. Subject adherence
78. Monitoring committee in clinical trials REGULATORY 79. FDA overview
80. IND
81. New drug application
82. Device pathways
83. Radiation-emitting electronic products
84. Combination products
85. Cosmetics
86. CMC and GxP
87. Non-US regulatory
88. Post-Market Drug Safety Monitoring
89. Post-Market Device Safety Monitoring CLINICAL IMPLEMENTATION 90. Implementation Research
91. Design and analysis
92. Mixed-methods research
93. Population- and setting-specific implementation PUBLIC HEALTH 94. Public Health
95. Epidemiology
96. Good questions
97. Population- and environmental-specific considerations
98. Law, policy, and ethics
99. Healthcare institutions and systems
100. Public health institutions and systems