Prognostic analysis of curatively resected pancreatic cancer using harmonized positron emission tomography radiomic features

Background Texture features reflecting tumour heterogeneity enable us to investigate prognostic factors. The R package ComBat can harmonize the quantitative texture features among several positron emission tomography (PET) scanners. We aimed to identify prognostic factors among harmonized PET radiom...

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Bibliographic Details
Published in:European journal of hybrid imaging 2023-03, Vol.7 (1), p.5-5, Article 5
Main Authors: Watanabe, Masao, Ashida, Ryo, Miyakoshi, Chisato, Arizono, Shigeki, Suga, Tsuyoshi, Kanao, Shotaro, Kitamura, Koji, Ogawa, Takahisa, Ishikura, Reiichi
Format: Article
Language:English
Subjects:
Age
Algorithms
Cancer
Complete surgery
Computed tomography
Emission analysis
FDG PET/CT
Harmonization
Health hazards
Heterogeneity
Imaging
Medical prognosis
Medicine
Medicine & Public Health
Multivariate analysis
Nuclear Medicine
Original
Original Article
Pancreatic cancer
Parameters
Patients
PET radiomics
Positron emission
Positron emission tomography
Progression-free survival
Radiology
Radiomics
Rank tests
Scanners
Shape
Survival
Texture
Tomography
Tumors
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Summary:Background Texture features reflecting tumour heterogeneity enable us to investigate prognostic factors. The R package ComBat can harmonize the quantitative texture features among several positron emission tomography (PET) scanners. We aimed to identify prognostic factors among harmonized PET radiomic features and clinical information from pancreatic cancer patients who underwent curative surgery. Methods Fifty-eight patients underwent preoperative enhanced dynamic computed tomography (CT) scanning and fluorodeoxyglucose PET/CT using four PET scanners. Using LIFEx software, we measured PET radiomic parameters including texture features with higher order and harmonized these PET parameters. For progression-free survival (PFS) and overall survival (OS), we evaluated clinical information, including age, TNM stage, and neural invasion, and the harmonized PET radiomic features based on univariate Cox proportional hazard regression. Next, we analysed the prognostic indices by multivariate Cox proportional hazard regression (1) by using either significant ( p  
ISSN:2510-3636
2510-3636
DOI:10.1186/s41824-023-00163-8