Applied Radiobiology

Includes an overview of computer-aided detection and diagnosis using examples of breast cancer, lung cancer, and colon cancer; an update on how CT doses are being reduced; the latest in the elusive goal of treatment plan optimisation; and an overview of the various types of statistical models that are at the heart of presenting empirical data in medical studies.

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This volume includes Maryellen Giger’s overview of computer-aided detection and diagnosis using examples of breast cancer, lung cancer, and colon cancer. Michael McNitt-Gray offers an update on how CT doses are being reduced as manufacturers reduce tube rotation times and increase the number of detector rows, thereby opening up this technology to new applications. Ellen Yorke and Chen-Shou Chui discuss the latest in the elusive goal of treatment plan optimization. Though not an “advance” per se, Donald Herbert offers a helpful overview of the various types of statistical models that are at the heart of presenting empirical data in medical studies.