Quantitative Imaging: Biomarkers and Radiomics in Diagnostic Radiology
Dr. Claudia Moreno
LeMay Publishing
MEDICAL
Quantitative Imaging: Biomarkers and Radiomics in Diagnostic Radiology
Radiology15,013 words63 chapters
Published by LeMay Publishing. 15,013 words across 63 chapters.
About This Publication
A comprehensive diagnostic guide to quantitative imaging, examining the transformation from qualitative anatomical assessment to computational radiomics and imaging biomarkers in clinical practice.
Published by LeMay Publishing, a division of LeMay. Massachusetts.
ISBN: 979-8-0000-7037-6
Chapters
1QUANTITATIVE IMAGING: BIOMARKERS AND RADIOMICS IN DIAGNOSTIC RADIOLOGY
2A Comprehensive Diagnostic Guide
3ABOUT THE AUTHOR
4PREFACE
5TABLE OF CONTENTS
6CHAPTER 1: FOUNDATIONS OF QUANTITATIVE IMAGING
71.1 The Evolution from Qualitative to Quantitative Radiology
81.2 Defining Quantitative Imaging
91.3 The Clinical Rationale for Quantitative Imaging
101.4 Scope and Organization of This Book
11CHAPTER 2: PHYSICS AND TECHNICAL BASIS OF QUANTITATIVE IMAGE ANALYSIS
122.1 Image Acquisition Parameters and Their Influence on Quantitative Measurements
132.2 Image Reconstruction and Its Impact on Quantitative Features
142.3 Segmentation: The Critical First Step
152.4 Image Preprocessing and Normalization
16CHAPTER 3: IMAGING BIOMARKERS: DEFINITION, CLASSIFICATION, AND VALIDATION
173.1 Defining Imaging Biomarkers
183.2 Classification of Imaging Biomarkers
193.3 The Biomarker Validation Pathway
203.4 Established Quantitative Imaging Biomarkers in Clinical Practice
21CHAPTER 4: RADIOMICS: PRINCIPLES AND FEATURE EXTRACTION
224.1 The Radiomic Hypothesis
234.2 The Radiomic Workflow
244.3 Categories of Radiomic Features
254.4 The Image Biomarker Standardisation Initiative (IBSI)
26CHAPTER 5: STATISTICAL METHODS AND MACHINE LEARNING IN RADIOMIC ANALYSIS
275.1 The Statistical Challenge of Radiomics
285.2 Feature Stability and Reproducibility Assessment
295.3 Feature Selection Methods
305.4 Machine Learning Models in Radiomics
315.5 Validation Strategies
325.6 Reporting Standards
33CHAPTER 6: QUANTITATIVE IMAGING IN ONCOLOGIC DIAGNOSIS
346.1 The Oncologic Imperative
356.2 Lung Cancer
366.3 Hepatocellular Carcinoma and Liver Lesions
376.4 Breast Cancer
386.5 Prostate Cancer
396.6 Colorectal Cancer
406.7 Head and Neck Cancer and Glioma
41CHAPTER 7: QUANTITATIVE IMAGING IN NEUROLOGICAL AND CARDIOVASCULAR DISORDERS
427.1 Neuroimaging Applications
437.2 Cardiovascular Imaging
447.3 Musculoskeletal Applications
45CHAPTER 8: STANDARDIZATION, REPRODUCIBILITY, AND QUALITY ASSURANCE
468.1 The Reproducibility Crisis in Radiomics
478.2 Sources of Variability in Radiomic Features
488.3 Strategies for Standardization
498.4 Quality Assurance Programs for Quantitative Imaging
50CHAPTER 9: CLINICAL IMPLEMENTATION AND WORKFLOW INTEGRATION
519.1 From Research to Practice: The Implementation Gap
529.2 Infrastructure Requirements
539.3 Workflow Integration
549.4 Reporting Quantitative Imaging Results
559.5 Clinical Decision Support
569.6 Education and Training
57CHAPTER 10: REGULATORY FRAMEWORK, ETHICAL CONSIDERATIONS, AND FUTURE DIRECTIONS
5810.1 Regulatory Landscape
5910.2 Ethical Considerations
6010.3 Emerging Technologies and Future Directions
6110.4 A Vision for the Quantitative Radiology Department
62BIBLIOGRAPHY
63INDEX