Literature DB >> 27749404

Intratumoral Heterogeneity of Pretreatment 18F-FDG PET Images Predict Disease Progression in Patients With Nasal Type Extranodal Natural Killer/T-cell Lymphoma.

Kuan-Yin Ko1, Chia-Ju Liu, Chi-Lun Ko, Ruoh-Fang Yen.   

Abstract

PURPOSE: The aim of this study was to investigate whether the textural features of pretreatment F-FDG PET images can predict prognosis for nasal type extranodal natural killer/T-cell lymphoma (ENKTL).
MATERIALS AND METHODS: A retrospective analysis of the pretreatment F-FDG PET images of the patients with newly diagnosed nasal type ENKTL from 2008 to 2013 was conducted. Progression-free survival (PFS) was the main outcome measure. The primary tumor was identified and then delineated using the 40% maximum standardized uptake value (SUVmax) thresholding method. The textural features of the pretreatment F-FDG PET images were extracted. The prognostic significance of the textural features of the PET images were examined using the receiver operating characteristic (ROC) curves and Cox regression analysis. P values <0.05 were considered statistically significant.
RESULTS: In total, 17 patients were enrolled, among whom 11 showed disease progression and 6 died from the disease during the median follow-up period of 27.2 months. Dissimilarity and low-intensity short-zone emphasis (LISZE) were identified as independent predictors of PFS by using the ROC curves and multivariate Cox analysis after adjusting for the clinical variables.
CONCLUSIONS: Dissimilarity and LISZE were the significant predictors of disease progression in patients with nasal type ENKTL and can improve their prognostic stratification.

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Year:  2016        PMID: 27749404     DOI: 10.1097/RLU.0000000000001375

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  11 in total

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9.  Radiomic Features of 18F-FDG PET in Hodgkin Lymphoma Are Predictive of Outcomes.

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10.  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
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