Title of article :
Prediction of Overall Survival and Progression-Free Survival by the 18F-FDG PET/CT Radiomic Features in Patients with Primary Gastric Diffuse Large B-Cell Lymphoma
Author/Authors :
Zhou, Yi Department of Nuclear Medicine - West China Hospital - Sichuan University - GuoXueLane - Chengdu, China , Ma, Xue-Lei Department of Biotherapy - Cancer Center - State Key Laboratory of Biotherapy - West China Hospital - Sichuan University - GuoXueLane - Chengdu, China , Pu, Lu-Tong West China School of Medicine - West China Hospital - Sichuan University - GuoXueLane - Chengdu, China , Zhou, Ruo-Fan West China School of Medicine - West China Hospital - Sichuan University - GuoXueLane - Chengdu, China , Ou, Xue-Jin West China School of Medicine - West China Hospital - Sichuan University - GuoXueLane - Chengdu, China , Tian, Rong Department of Nuclear Medicine - West China Hospital - Sichuan University - GuoXueLane - Chengdu, China
Abstract :
To determine whether the radiomic features of 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed
tomography (PET/CT) contribute to prognosis prediction in primary gastric diffuse large B-cell lymphoma (PG-DLBCL) patients.
Methods. is retrospective study included 35 PG-DLBCL patients who underwent PET/CT scans at West China Hospital before
curative treatment. e volume of interest (VOI) was drawn around the tumor, and radiomic analysis of the PET and CT images,
within the same VOI, was conducted. e metabolic and textural features of PET and CT images were evaluated. Correlations of
the extracted features with the overall survival (OS) and progression-free survival (PFS) were evaluated. Univariate and multivariate analyses were conducted to assess the prognostic value of the radiomic parameters. Results. In the univariate model, many
of the textural features, including kurtosis and volume, extracted from the PET and CT datasets were significantly associated with
survival (5 for OS and 7 for PFS (PET); 7 for OS and 14 for PFS (CT)). Multivariate analysis identified kurtosis (hazard ratio (HR):
28.685, 95% confidence interval (CI): 2.067–398.152, p = 0.012), metabolic tumor volume (MTV) (HR: 26.152, 95% CI:
2.089–327.392, p = 0.011), and gray-level nonuniformity (GLNU) (HR: 14.642, 95% CI: 2.661–80.549, p = 0.002) in PET and
sphericity (HR: 11.390, 95% CI: 1.360–95.371, p = 0.025) and kurtosis (HR: 11.791, 95% CI: 1.583–87.808, p = 0.016), gray-level
nonuniformity (GLNU) (HR: 6.934, 95% CI: 1.069–44.981, p = 0.042), and high gray-level zone emphasis (HGZE) (HR: 9.805,
95% CI: 1.359–70.747, p - 0.024) in CT as independent prognostic factors. Conclusion. 18F-FDG PET/CT radiomic features are
potentially useful for survival prediction in PG-DLBCL patients. However, studies with larger cohorts are needed to confirm the
clinical prognostication of these parameters.
Keywords :
PET/CT , 18F-FDG , B-Cell , NHL
Journal title :
Contrast Media and Molecular Imaging