Literature DB >> 34298775

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

Jeong Won Lee1, Sang-Heum Park2, Hyein Ahn3, Sang Mi Lee4, Su Jin Jang5.   

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.

Entities:  

Keywords:  FDG PET/CT; bone marrow; pancreatic cancer; prognosis; texture analysis

Year:  2021        PMID: 34298775     DOI: 10.3390/cancers13143563

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  5 in total

Review 1.  A systematic review of prognosis predictive role of radiomics in pancreatic cancer: heterogeneity markers or statistical tricks?

Authors:  Yuhan Gao; Sihang Cheng; Liang Zhu; Qin Wang; Wenyi Deng; Zhaoyong Sun; Shitian Wang; Huadan Xue
Journal:  Eur Radiol       Date:  2022-07-29       Impact factor: 7.034

Review 2.  Radiomics in Oncological PET Imaging: A Systematic Review-Part 2, Infradiaphragmatic Cancers, Blood Malignancies, Melanoma and Musculoskeletal Cancers.

Authors:  David Morland; Elizabeth Katherine Anna Triumbari; Luca Boldrini; Roberto Gatta; Daniele Pizzuto; Salvatore Annunziata
Journal:  Diagnostics (Basel)       Date:  2022-05-27

3.  Prognostic Value of Dual-Time-Point [18F]FDG PET/CT for Predicting Distant Metastasis after Treatment in Patients with Non-Small Cell Lung Cancer.

Authors:  Sang Mi Lee; Jeong Won Lee; Ji-Hyun Lee; In Young Jo; Su Jin Jang
Journal:  J Pers Med       Date:  2022-04-07

4.  Different Prognostic Values of Dual-Time-Point FDG PET/CT Imaging Features According to Treatment Modality in Patients with Non-Small Cell Lung Cancer.

Authors:  Su Jin Jang; Jeong Won Lee; Ji-Hyun Lee; In Young Jo; Sang Mi Lee
Journal:  Tomography       Date:  2022-04-08

5.  Relationship of FDG PET/CT Textural Features with the Tumor Microenvironment and Recurrence Risks in Patients with Advanced Gastric Cancers.

Authors:  Hyein Ahn; Geum Jong Song; Si-Hyong Jang; Hyun Ju Lee; Moon-Soo Lee; Ji-Hye Lee; Mee-Hye Oh; Geum Cheol Jeong; Sang Mi Lee; Jeong Won Lee
Journal:  Cancers (Basel)       Date:  2022-08-15       Impact factor: 6.575

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.