Quantitative Imaging in the Thorax - Hardcover

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Ritu R. Gill, MD, MPH, is Chief of Cardiothoracic Radiology and  Professor of Radiology at Columbia University Medical Center, NY.  She is a subspecialty-trained radiologist with expertise in Cardiothoracic Imaging and Oncoradiology and holds a Master’s Degree in Public Health with a concentration in Clinical Effectiveness.

Dr. Gill’s scholarly work centers on the integration of quantitative imaging metrics with clinical and pathological parameters to develop prognostic models for thoracic malignancies. Her research seeks to advance the role of imaging as a biomarker in precision oncology, with the goal of improving disease characterization, treatment selection, and survival outcomes in patients with lung and other chest cancers.

In addition to her research and clinical practice, Dr. Gill is actively engaged in academic leadership, education, and editorial work. She has contributed to numerous peer-reviewed publications, book chapters, and educational initiatives in radiology and oncology. As a book editor, Dr. Gill brings a multidisciplinary perspective that bridges imaging science, clinical medicine, and public health, fostering collaborations that drive innovation and evidence-based care in thoracic imaging and oncologic radiology.
 

Prabhakar Rajiah, MBBS, MD, FRCR, FACR, FACC, FAHA, FSCCT, FSCMR, FNASCI, FSABI, is a Professor of Radiology and Consultant Cardiovascular & Thoracic Radiologist at the Mayo Clinic in Rochester, Minnesota. His clinical and academic work centers on structural heart disease, multienergy and photon-counting CT, quantitative imaging, and advanced cardiovascular CT and MRI techniques.

Dr. Rajiah is an internationally recognized authority in his field, with a scholarly record that includes more than 250 peer-reviewed publications, 75 book chapters, and editorial leadership of five textbooks and special journal issues. He serves as Deputy Editor of the Journal of Thoracic Imaging and as Associate Editor for Radiology, Radiology: Cardiothoracic Imaging, and RadioGraphics.

His contributions to cardiovascular imaging and radiologic education have been recognized with numerous distinctions, including the RSNA Research Trainee Prize, the Roentgen Radiology Fellow Research Award, multiple RSNA Honored Educator Awards, and the RSNA Lifetime Honored Educator Award.

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This book presents a comprehensive review of quantitative imaging, tracing its evolution from the extraction of imaging features to the creation of AI- and machine-specific algorithms.

Quantitative imaging refers to the measurement and analysis of image-derived features for assessing normality, disease severity, and temporal change. It encompasses the development, standardization, and optimization of imaging protocols, as well as advanced methods for data analysis, validation, and reporting.

While the traditional radiology report relies on qualitative, narrative descriptions that are intuitive but difficult to quantify, quantitative imaging introduces objectivity and reproducibility, enabling robust statistical modeling and integration with clinical outcomes. However, achieving accuracy requires rigorous quality assurance and careful methodological design.
With the rapid advancement of artificial intelligence and machine learning, and the growing demand for patient- and disease-specific models, this volume serves as a crucial reference for radiologists, clinicians, and data scientists seeking to bridge imaging science with computational medicine.

Each chapter, authored by leading international experts, explores the application of quantitative imaging in the thorax—from screening and diagnosis to prognosis and therapeutic response assessment. Dedicated sections on radiomics and radiogenomics further illustrate how imaging data can inform molecular and genetic understanding of disease.

An essential guide for radiologists, physicians, and data scientists, this book offers the foundational knowledge and practical insights needed to advance precision medicine through quantitative imaging.