Quantitative computed tomography imaging biomarkers in the diagnosis and management of lung cancer

• Verfasst von: Kim, Hyungjin [VerfasserIn]
• Verfasst von: Park, Chang Min [VerfasserIn]
• Verfasst von: Goo, Jin Mo [VerfasserIn]
• Verfasst von: Wildberger, Joachim E. [VerfasserIn]
• Verfasst von: Kauczor, Hans-Ulrich [VerfasserIn]
• Titel: Quantitative computed tomography imaging biomarkers in the diagnosis and management of lung cancer
• Verf.angabe: Hyungjin Kim, Chang Min Park, Jin Mo Goo, Joachim E. Wildberger, and Hans-Ulrich Kauczor
• Jahr: 2015
• Umfang: 13 S.
• Fussnoten: Gesehen am 01.07.2020
• Titel Quelle: Enthalten in: Investigative radiology
• Ort Quelle: Philadelphia, Pa. : Lippincott Williams & Wilkins, 1966
• Jahr Quelle: 2015
• Band/Heft Quelle: 50(2015), 9, Seite 571-583
• ISSN Quelle: 1536-0210
• DOI: doi:10.1097/RLI.0000000000000152
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1703157575

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.