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Predicting Survival in Patients with Pancreatic Cancer by Integrating Bone Marrow FDG Uptake and Radiomic Features of Primary Tumor in PET/CT

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Abstract
The purpose of this study was to evaluate the prognostic significance of FDG uptake of bone marrow (BM SUV) and to investigate its role combined with radiomic features of primary tumors in improving the prediction of overall survival (OS) in patients with pancreatic cancer. We retrospectively enrolled 65 pancreatic cancer patients with staging FDG PET/CT. BM SUV and conventional imaging parameters of primary tumors including total lesion glycolysis (TLG) were measured. First-order and higher-order textural features of primary cancer were extracted using PET textural analysis. Associations of PET/CT parameters of bone marrow (BM) and primary cancer with OS were assessed. BM SUV as well as TLG and first-order entropy of pancreatic cancer were significant independent predictors of OS in multivariable analysis. A PET/CT scoring system based on the cumulative scores of these three independent predictors enabled patient stratification into three distinct prognostic groups. The scoring system yielded a good prognostic stratification based on subgroup analysis irrespective of tumor stage and treatment modality. BM SUV was an independent predictor of OS in pancreatic cancer patients. The PET/CT scoring system that integrated PET/CT parameters of primary tumors and BM can provide prognostic information in pancreatic cancer independent of tumor stage and treatment.
All Author(s)
J. W. Lee ; S. H. Park ; H. Ahn ; S. M. Lee ; S. J. Jang
Issued Date
2021
Type
Article
Keyword
bone marrowFDG PET/CTpancreatic cancerprognosistexture analysis
Publisher
Irish Association for Cancer Research
Spanish Association for Cancer Research
Biomedical Research Centre
British Neuro-Oncology Society
Spanish Group for Cancer Immuno-Biotherapy
ISSN
2072-6694
Citation Title
Cancers
Citation Volume
13
Citation Number
14
Citation Start Page
3563
Citation End Page
3563
Language(ISO)
eng
DOI
10.3390/cancers13143563
URI
http://schca-ir.schmc.ac.kr/handle/2022.oak/1726
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