In:
Contrast Media & Molecular Imaging, Hindawi Limited, Vol. 2019 ( 2019-07-25), p. 1-9
Abstract:
Objectives . The aim of this study is to explore the textural features that may identify the morphological changes in the lymphoma region and predict the prognosis of patients with primary renal lymphoma (PRL) and primary adrenal lymphoma (PAL). Methods . This retrospective study comprised nineteen non-Hodgkin’s lymphoma (NHL) patients undergoing 18 F-FDG-PET/CT at West China Hospital from December 2013 to May 2017. 18 F-FDG-PET images were reviewed independently by two board certificated radiologists of nuclear medicine, and the texture features were extracted from LifeX packages. The prognostic value of PET FDG-uptake parameters, patients’ baseline characteristics, and textural parameters were analyzed using Kaplan–Meier analysis. Cox regression analysis was used to identify the independent prognostic factors among the imaging and clinical features. Results . The overall survival of included patients was 18.84 ± 13.40 (mean ± SD) months. Univariate Cox analyses found that the tumor stage, GLCM (gray-level co-occurrence matrix) entropy, GLZLM_GLNU (gray-level nonuniformity), and GLZLM_ZLNU (zone length nonuniformity), values were significant predictors for OS. Among them, GLRLM_RLNU ≥216.6 demonstrated association with worse OS at multivariate analysis (HR 9.016, 95% CI 1.041–78.112, p = 0.046 ). Conclusions . The texture analysis of 18 F-FDG-PET images could potentially serve as a noninvasive strategy to predict the overall survival of patients with PRL and PAL.
Type of Medium:
Online Resource
ISSN:
1555-4309
,
1555-4317
DOI:
10.1155/2019/2641627
Language:
English
Publisher:
Hindawi Limited
Publication Date:
2019
detail.hit.zdb_id:
2222967-X
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