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Application of Metabolic Parameters Measured by ¹⁸F-FDG PET/CT in the Evaluation of the Prognosis of Non-small Cell Lung Cancer / 中国肺癌杂志
Chinese Journal of Lung Cancer ; (12): 167-172, 2019.
Article в Zh | WPRIM | ID: wpr-775647
Ответственная библиотека: WPRO
ABSTRACT
Tumor-node-metastasis (TNM) staging system is the most important basis for making therapeutic decisions and predicting prognosis of lung cancer patients. The metabolic parameters including standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) measured by ¹⁸F-fluorodeoxyglucose-positron emission tomography (¹⁸F-FDG PET/CT) associate with tumor aggressiveness and can provide additional prognostic information. A new staging methodology combines the conventional cTNM with the metabolic tumor burden quantified from the PET images is a better predictor of overall survival with superior stratifying power may help oncologists to make better treatment plans. ¹⁸F-FDG PET/CT image texture analysis, as an emerging research tool, is used to quantify the spatial heterogeneity of radioactive uptake in tumors, thereby to explore the biological characteristics of the tumor. This article reviews developments in evaluating the ¹⁸F-FDG PET/CT metabolic parameters and its role as a prognostic factor for non-small cell lung cancer.
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Полный текст: 1 База данных: WPRIM Основная тема: Prognosis / Image Processing, Computer-Assisted / Diagnostic Imaging / Carcinoma, Non-Small-Cell Lung / Fluorodeoxyglucose F18 / Positron Emission Tomography Computed Tomography / Lung Neoplasms / Metabolism / Methods Тип исследования: Diagnostic_studies / Prognostic_studies Пределы темы: Humans Язык: Zh Журнал: Chinese Journal of Lung Cancer Год: 2019 Тип: Article
Полный текст: 1 База данных: WPRIM Основная тема: Prognosis / Image Processing, Computer-Assisted / Diagnostic Imaging / Carcinoma, Non-Small-Cell Lung / Fluorodeoxyglucose F18 / Positron Emission Tomography Computed Tomography / Lung Neoplasms / Metabolism / Methods Тип исследования: Diagnostic_studies / Prognostic_studies Пределы темы: Humans Язык: Zh Журнал: Chinese Journal of Lung Cancer Год: 2019 Тип: Article