Literature DB >> 28189215

Orbital benign and malignant lymphoproliferative disorders: Differentiation using semi-quantitative and quantitative analysis of dynamic contrast-enhanced magnetic resonance imaging.

Hao Hu1, Xiao-Quan Xu1, Hu Liu2, Xun-Ning Hong1, Hai-Bin Shi1, Fei-Yun Wu3.   

Abstract

OBJECTIVES: To assess the value of dynamic contrast-enhanced MR imaging (DCE-MRI) in differentiating benign from malignant orbital lymphoproliferative disorders (OLPDs).
METHODS: Thirty-nine patients with orbital lymphoproliferative disorders (21 malignant and 18 benign) underwent DCE-MRI scan for pre-treatment evaluation from March 2013 to December 2015. Both semi-quantitative (TTP, AUC, Slopemax) and quantitative (Ktrans, kep, ve) parameters were calculated, and compared between two groups. Receiver operating characteristic (ROC) curve analyses were used to determine the diagnostic value of each significant parameter.
RESULTS: Malignant OLPDs showed significantly higher kep, lower ve, and lower AUC than benign OLPDs, while no significant differences were found on Ktrans, TTP and Slopemax. ROC analyses indicated that ve exhibited the best diagnostic performance in predicting malignant OLPDs (cutoff value, 0.211; area under the curve, 0.896; sensitivity, 76.2%; specificity, 94.9%), followed by kep (cutoff value, 0.853; area under the curve, 0.839; sensitivity, 85.7%; specificity, 89.9%).
CONCLUSION: DCE-MRI and specially its derived quantitative parameters of kep and ve are promising metrics for differentiating malignant from benign OLPDs.
Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Differential diagnosis; Dynamic contrast-enhanced; Lymphoproliferative disorders; Magnetic resonance imaging; Orbit

Mesh:

Substances:

Year:  2017        PMID: 28189215     DOI: 10.1016/j.ejrad.2016.12.035

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

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Journal:  Curr Rheumatol Rep       Date:  2022-02-09       Impact factor: 4.592

2.  A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.

Authors:  Xiaoyang Xie; Lijuan Yang; Fengjun Zhao; Dong Wang; Hui Zhang; Xuelei He; Xin Cao; Huangjian Yi; Xiaowei He; Yuqing Hou
Journal:  Eur Radiol       Date:  2022-06-08       Impact factor: 7.034

3.  A signature of structural MRI features at 3 Tesla allows an accurate characterization of orbital cavernous venous malformation.

Authors:  Simon Elbaze; Loïc Duron; Natasha Mambour; Mathieu Zmuda; Sidney Krystal; Jessica Guillaume; Julien Savatovsky; Augustin Lecler
Journal:  Eur Radiol       Date:  2022-10-20       Impact factor: 7.034

4.  Clinicopathologic and Magnetic Resonance Imaging Analysis of a Multifocal Orbital Lymphoid Tumor.

Authors:  Frederick A Jakobiec; Natalie Homer; Fouad R Zakka; Hugh D Curtin; Aaron Fay
Journal:  Ocul Oncol Pathol       Date:  2017-08-23

5.  An accurate interactive segmentation and volume calculation of orbital soft tissue for orbital reconstruction after enucleation.

Authors:  Qingyao Ning; Xiaoyao Yu; Qi Gao; Jiajun Xie; Chunlei Yao; Kun Zhou; Juan Ye
Journal:  BMC Ophthalmol       Date:  2019-12-16       Impact factor: 2.209

6.  Prospective Evaluation of Intraorbital Soft Tissue Atrophy after Posttraumatic Bone Reconstruction: A Risk Factor for Enophthalmos.

Authors:  Cristian Dinu; Tiberiu Tamas; Gabriela Agrigoroaei; Sebastian Stoia; Horia Opris; Simion Bran; Gabriel Armencea; Avram Manea
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  6 in total

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