Literature DB >> 32573298

The predictive value of pre-treatment 18F-FDG PET/CT on treatment outcome in early-stage extranodal natural killer/T-cell lymphoma.

Rui Guo1, Pengpeng Xu2, Haoping Xu3, Ying Miao1, Biao Li1.   

Abstract

The diagnostic value of pretreatment 18F-FDG PET/CT in early-stage extranodal natural killer/T-cell lymphoma (ENKTL) is established, but its prognostic value is still unclear. We conducted 18F-FDG PET/CT-based quantitative and qualitative analysis as well as assessed related clinical parameters in 50 patients with recently diagnosed ENKTL and treated with methotrexate, etoposide, dexamethasone, and pegaspargase (MESA)-based therapy. Patients were followed-up for 38.6 ± 17.8 months. Six patients died of tumor-related disease, and six patients presented with persistence or recurrence. The estimates of the 2-year OS and PFS for the patients were 90.0% (SE: 4.0%) and 82.0% (SE: 5.0%), respectively. Survival curves were obtained using Kaplan-Meier analysis and compared using log rank test. Based on signifiacnt results of univariate analysis, we selected Epstein-Barr virus DNA (EB-DNA), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) for multivariate analysis. Finally, MTV was found to be the significant independent predictor of both OS (p = .038) and PFS (p = .039).

Entities:  

Keywords:  18F-FDG PET/CT; ENKTL; early-stage; prognosis

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Year:  2020        PMID: 32573298     DOI: 10.1080/10428194.2020.1783446

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  2 in total

1.  Regional Brain Glucose Metabolism and Its Prognostic Value in Pretreatment Extranodal Natural Killer/T-Cell Lymphoma Patients.

Authors:  Ziwei Zhou; Zhe Guo; Qingqiao Hu; Wei Ding; Chongyang Ding; Lijun Tang
Journal:  Onco Targets Ther       Date:  2021-05-14       Impact factor: 4.147

2.  Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type.

Authors:  Rui Guo; Xiaobin Hu; Haoming Song; Pengpeng Xu; Haoping Xu; Axel Rominger; Xiaozhu Lin; Bjoern Menze; Biao Li; Kuangyu Shi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-20       Impact factor: 9.236

  2 in total

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