Literature DB >> 30591478

The Relationship Between 18F-FDG Uptake on PET/CT and Markers of Systemic Inflammatory Response in Patients Undergoing Surgery for Intrahepatic Cholangiocarcinoma.

Satoru Seo1, Tomoaki Yoh2, Koshiro Morino2, Hiroaki Fuji2, Kojiro Taura2, Ken Fukumitsu2, Takamichi Ishii2, Yuji Nakamoto3, Toshimi Kaido2, Shinji Uemoto2.   

Abstract

BACKGROUND/AIM: This study evaluated the prognostic relationship between tumor 18F-fluorodeoxyglucose (FDG) uptake on positron-emission tomography (PET)/computed tomography (CT) imaging and markers of systemic inflammatory response (SIR) in patients undergoing surgery for intrahepatic cholangiocarcinoma (ICC). PATIENTS AND METHODS: Between 2002 and 2016, 94 patients with ICC who underwent 18F-FDG-PET scans before surgery were analyzed. 18F-FDG uptake was quantified as a maximum standardized uptake value (SUVmax). The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and C-reactive protein (CRP) were selected as SIR markers.
RESULTS: There was no strong correlation between SUVmax and, NLR, PLR and CRP (all Pearson's |r| <0.40). Multivariate Cox regression analyses identified high tumor SUVmax (≥8) and high NLR (≥5) as independent predictors of poor overall survival (p=0.013 and p=0.002) and disease-free survival (p<0.001 and p=0.004).
CONCLUSION: Prognostic information provided by tumor SUVmax and SIR markers may be independent prognostic factors in patients undergoing surgery for ICC. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  18F-FDG-PET; intrahepatic cholangiocarcinoma; systemic inflammation

Mesh:

Substances:

Year:  2019        PMID: 30591478     DOI: 10.21873/anticanres.13117

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  2 in total

1.  Usefulness of 18F-fluorodeoxyglucose positron-emission tomography/computed tomography combined with the platelet-lymphocyte ratio in predicting the prognosis of nasopharyngeal carcinoma.

Authors:  Wei Jun Xian; Yan Lin Feng; Ying Wang; Ming Yang; Sheng Nan Lu
Journal:  Br J Radiol       Date:  2021-11-23       Impact factor: 3.039

2.  A predictive model for treatment response in patients with locally advanced esophageal squamous cell carcinoma after concurrent chemoradiotherapy: based on SUVmean and NLR.

Authors:  Chunsheng Wang; Kewei Zhao; Shanliang Hu; Yong Huang; Li Ma; Yipeng Song; Minghuan Li
Journal:  BMC Cancer       Date:  2020-06-10       Impact factor: 4.430

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.