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Computer-Aided Diagnosis and Quantification in Chest CT

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Multidetector-Row CT of the Thorax

Part of the book series: Medical Radiology ((Med Radiol Diagn Imaging))

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Abstract

With the advances of CT and computer technology, various applications for computer-aided diagnosis (CAD) and quantification have been developed to enhance the performance of radiologists. CAD provides tools to detect more nodules, to determine nodule malignancy by characterizing and measuring nodules, and to match nodules in follow-up studies. These applications will play an important role in the nodule management for lung cancer screening with low-dose CT. Parenchymal and airway lesions in chronic obstructive lung disease and diffuse interstitial lung disease can be characterized and quantified semiautomatically and this information can be used in phenotyping of disease, in explaining functional changes, and in clinical trials. However, users need to understand the limitations and measurement variability of these approaches.

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Authors and Affiliations

  1. Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, South Korea

    Jin Mo Goo MD, PhD

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  1. Jin Mo Goo MD, PhD
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Correspondence to Jin Mo Goo MD, PhD .

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Editors and Affiliations

  1. Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, USA

    U. Joseph Schoepf

  2. Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany

    Felix G. Meinel

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Goo, J.M. (2016). Computer-Aided Diagnosis and Quantification in Chest CT. In: Schoepf, U., Meinel, F. (eds) Multidetector-Row CT of the Thorax. Medical Radiology(). Springer, Cham. https://doi.org/10.1007/978-3-319-30355-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-30355-0_22

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