title: Quantitative Computed Tomography Imaging Biomarkers in the Diagnosis and Management of Lung Cancer.
abstract: Tumor diameter has traditionally been used as a standard metric in terms of diagnosis and prognosis prediction of lung cancer. However, recent advances in imaging techniques and data analyses have enabled novel quantitative imaging biomarkers that can characterize disease status more comprehensively and/or predict tumor behavior more precisely. The most widely used imaging modality for lung tumor assessment is computed tomography. Therefore, we focused on computed tomography imaging biomarkers such as tumor volume and mass, ground-glass opacities, perfusion parameters, as well as texture features in this review. Herein, we first appraised the conventional 1- or 2-dimensional measurement with brief discussion on their limits and then introduced the potential imaging biomarkers with emphasis on the current understanding of their clinical usefulness with respect to the malignancy differentiation, treatment response monitoring, and patient outcome prediction.
authors: From the *Department of Radiology, College of Medicine, and †Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul; ‡Aerospace Medical Group, Air Force Education and Training Command, Jinju City; §Cancer Research Institute, Seoul National University, Seoul, South Korea; ║Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands; and ¶Department of Diagnostic and Interventional Radiology, University of Heidelberg, Heidelberg, Germany.
authors: Hyungjin
authors: H
authors: Kim
authors: Chang Min
authors: CM
authors: Park
authors: Jin Mo
authors: JM
authors: Goo
authors: Joachim E
authors: JE
authors: Wildberger
authors: Hans-Ulrich
authors: HU
authors: Kauczor
mesh_terms: D015415:Biomarkers; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging*; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed
chemical_list: D015415:Biomarkers