Literature DB >> 31886757

18F-FDG PET/CT in Restaging and Evaluation of Response to Therapy in Lung Cancer: State of the Art.

Angelo Castello1, Sabrina Rossi2, Egesta Lopci1.   

Abstract

BACKGROUND: Metabolic information provided by 18F-FDG PET/CT are useful for initial staging, therapy planning, response evaluation, and to a lesser extent for the follow-up of non-small cell lung cancer (NSCLC). To date, there are no established clinical guidelines in treatment response and early detection of recurrence.
OBJECTIVE: To provide an overview of 18F-FDG PET/CT in NSCLC and in particular, to discuss its utility in treatment response evaluation and restaging of lung cancer.
METHODS: A comprehensive search was used based on PubMed results. From all studies published in English those that explored the role of 18F-FDG PET/CT in the treatment response scenario were selected.
RESULTS: Several studies have demonstrated that modifications in metabolic activity, expressed by changes in SUV both in the primary tumor as well as in regional lymph nodes, are associated with tumor response and survival. Beside SUV, other metabolic parameters (i.e. MTV, TLG, and percentage changes) are emerging to be helpful for predicting clinical outcomes.
CONCLUSION: 18F-FDG parameters appear to be promising factors for evaluating treatment response and for detecting recurrences, although larger prospective trials are needed to confirm these evidences and to determine optimal cut-off values. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  FDG PET; Lung cancer; NSCLC; PET/CT; response evaluation; restaging

Year:  2020        PMID: 31886757     DOI: 10.2174/1874471013666191230144821

Source DB:  PubMed          Journal:  Curr Radiopharm        ISSN: 1874-4710


  5 in total

1.  Role of Peripheral Blood Markers for Detecting Response and Predicting Prognosis in Patients with Non-small-cell Lung Cancer Undergoing Neoadjuvant Therapy and Surgery.

Authors:  Filippo Lococo; Marco Chiappetta; Jessica Evangelista; Isabella Sperduti; Dania Nachira; Venanzio Porziella; Maria Teresa Congedo; Emilio Bria; Emanuele Vita; Alfredo Cesario; Carolina Sassorossi; Diepriye Charles-Davies; Luca Boldrini; Mariangela Massaccesi; Vincenzo Valentini; Stefano Margaritora
Journal:  Lung       Date:  2022-06-02       Impact factor: 2.584

2.  Expression of fibroblast activation protein in lung cancer and its correlation with tumor glucose metabolism and histopathology.

Authors:  Xiaohui Chen; Xinran Liu; Lijuan Wang; Wenlan Zhou; Yin Zhang; Ying Tian; Jianer Tan; Ye Dong; Lilan Fu; Hubing Wu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-03-07       Impact factor: 10.057

3.  Deep learning-assisted PET imaging achieves fast scan/low-dose examination.

Authors:  Yan Xing; Wenli Qiao; Taisong Wang; Ying Wang; Chenwei Li; Yang Lv; Chen Xi; Shu Liao; Zheng Qian; Jinhua Zhao
Journal:  EJNMMI Phys       Date:  2022-02-04

4.  Dynamic 18 F-FDG PET/CT can predict the major pathological response to neoadjuvant immunotherapy in non-small cell lung cancer.

Authors:  Zhi-Yong Chen; Rui Fu; Xiao-Yue Tan; Li-Xu Yan; Wen-Fang Tang; Zhen-Bin Qiu; Yi-Fan Qi; Yu-Fa Li; Qing-Yi Hou; Yi-Long Wu; Wen-Zhao Zhong; Ben-Yuan Jiang
Journal:  Thorac Cancer       Date:  2022-07-12       Impact factor: 3.223

Review 5.  The role of EBUS-TBNA in lung cancer restaging and mutation analysis.

Authors:  Piergiorgio Muriana; Francesca Rossetti
Journal:  Mediastinum       Date:  2020-09-30
  5 in total

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