PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer

Autor: Danyu Ma, Ying Zhang, Xiaoliang Shao, Chen Wu, Jun Wu
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Current Oncology, Vol 29, Iss 9, Pp 6523-6539 (2022)
Druh dokumentu: article
ISSN: 1718-7729
1198-0052
DOI: 10.3390/curroncol29090513
Popis: A portion of gastric cancer patients with negative lymph node metastasis at an early stage eventually die from tumor recurrence or advanced metastasis. Occult lymph node metastasis (OLNM] is a potential risk factor for the recurrence and metastasis in these patients, and it is highly important for clinical prognosis. Positron emission tomography (PET)/computed tomography (CT) is used to assess lymph node metastasis in gastric cancer due to its advantages in anatomical and functional imaging and non-invasive nature. Among the major metabolic parameters of PET, the maximum standardized uptake value (SUVmax) is commonly used for examining lymph node status. However, SUVmax is susceptible to interference by a variety of factors. In recent years, the exploration of new PET metabolic parameters, new PET imaging agents and radiomics, has become an active research topic. This paper aims to explore the feasibility and predict the effectiveness of using PET/CT to detect OLNM. The current landscape and future trends of primary metabolic parameters and new imaging agents of PET are reviewed. For gastric cancer patients, the possibility to detect OLNM non-invasively will help guide surgeons to choose the appropriate lymph node dissection area, thereby reducing unnecessary dissections and providing more reasonable, personalized and comprehensive treatments.
Databáze: Directory of Open Access Journals
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