Cargando…

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

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 c...

Descripción completa

Detalles Bibliográficos
Autores principales: Ma, Danyu, Zhang, Ying, Shao, Xiaoliang, Wu, Chen, Wu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497704/
https://www.ncbi.nlm.nih.gov/pubmed/36135082
http://dx.doi.org/10.3390/curroncol29090513
_version_ 1784794571891277824
author Ma, Danyu
Zhang, Ying
Shao, Xiaoliang
Wu, Chen
Wu, Jun
author_facet Ma, Danyu
Zhang, Ying
Shao, Xiaoliang
Wu, Chen
Wu, Jun
author_sort Ma, Danyu
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9497704
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94977042022-09-23 PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer Ma, Danyu Zhang, Ying Shao, Xiaoliang Wu, Chen Wu, Jun Curr Oncol Review 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. MDPI 2022-09-11 /pmc/articles/PMC9497704/ /pubmed/36135082 http://dx.doi.org/10.3390/curroncol29090513 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ma, Danyu
Zhang, Ying
Shao, Xiaoliang
Wu, Chen
Wu, Jun
PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer
title PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer
title_full PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer
title_fullStr PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer
title_full_unstemmed PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer
title_short PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer
title_sort pet/ct for predicting occult lymph node metastasis in gastric cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497704/
https://www.ncbi.nlm.nih.gov/pubmed/36135082
http://dx.doi.org/10.3390/curroncol29090513
work_keys_str_mv AT madanyu petctforpredictingoccultlymphnodemetastasisingastriccancer
AT zhangying petctforpredictingoccultlymphnodemetastasisingastriccancer
AT shaoxiaoliang petctforpredictingoccultlymphnodemetastasisingastriccancer
AT wuchen petctforpredictingoccultlymphnodemetastasisingastriccancer
AT wujun petctforpredictingoccultlymphnodemetastasisingastriccancer