Literature DB >> 27560026

High-Resolution Diffusion-Weighted Imaging Improves the Diagnostic Accuracy of Dynamic Contrast-Enhanced Sinonasal Magnetic Resonance Imaging.

Feng Wang1, Yan Sha, Menglong Zhao, Hailin Wan, Fang Zhang, Yushu Cheng, Wenlin Tang.   

Abstract

OBJECT: The aim of the study was to evaluate the incremental value of high-resolution diffusion-weighted imaging and apparent diffusion coefficient (ADC) mapping compared with that of dynamic contrast-enhanced (DCE) sinonasal magnetic resonance imaging (MRI) in the characterization of benign versus malignant sinonasal tumors at 3.0T.
MATERIALS AND METHODS: Ninety-eight patients (61 females, 37 males; mean age, 48 years) with sinonasal lesions who underwent high-resolution DW-MRI and DCE-MRI were included in this study. The lesions were divided into malignant and benign groups on the basis of pathological examination. In total, 58 malignant tumors and 40 benign tumors were evaluated. Apparent diffusion coefficients were acquired with 0 and 1000 s/mm b values. Semiquantitative parameters (time-signal intensity curve [TIC] type, time of peak enhancement within the first 2 minutes [Tpeak], peak percentage enhancement within the first 2 minutes [PEpeak], the last time point percentage enhancement [PElast], and the washout percentage-enhancement difference [PEwashout]) were derived from DCE-MRI. The DCE-MRI parameters and ADCs were included in multivariate models to predict a diagnosis of a benign versus malignant lesion.
RESULTS: The accuracy using semiquantitative DCE-MRI parameters alone was 70.4% (0.693 area under the ROC curve, 57.5% sensitivity, 79.3% specificity). Adding absolute ADCs to dynamic contrast-enhanced MR data showed the higher diagnostic accuracy of 85.7% (0.873 area under the ROC curve, 85.0% sensitivity, 86.2% specificity). Moreover, the absolute ADCs differed significantly between the benign (mean [SD] ADC, 1.211 [0.32] × 10 mm/s) and malignant (mean [SD] ADC, 0.702 [0.28] × 10 mm/s) sinonasal tumors (P < 0.001). In addition, a significant difference was found between the ADC values of malignant and benign lesions in washout enhancement TICs (t = 7.039, P < 0.001).
CONCLUSIONS: High-resolution DWI with ADC mapping significantly improved the diagnostic accuracy of dynamic contrast-enhanced sinonasal MRI at 3.0T. In addition, ADC values could distinguish benign lesions from malignant tumors in washout enhancement TICs.

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Year:  2017        PMID: 27560026     DOI: 10.1097/RCT.0000000000000502

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  6 in total

1.  Intravoxel Incoherent Motion MR Imaging in the Differentiation of Benign and Malignant Sinonasal Lesions: Comparison with Conventional Diffusion-Weighted MR Imaging.

Authors:  Z Xiao; Z Tang; J Qiang; S Wang; W Qian; Y Zhong; R Wang; J Wang; L Wu; W Tang; Z Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

Review 2.  Recent advances in MRI of the head and neck, skull base and cranial nerves: new and evolving sequences, analyses and clinical applications.

Authors:  Philip Touska; Steve E J Connor
Journal:  Br J Radiol       Date:  2019-09-24       Impact factor: 3.039

3.  Radiomics Nomograms Based on Multi-Parametric MRI for Preoperative Differential Diagnosis of Malignant and Benign Sinonasal Tumors: A Two-Centre Study.

Authors:  Shu-Cheng Bi; Han Zhang; He-Xiang Wang; Ya-Qiong Ge; Peng Zhang; Zhen-Chang Wang; Da-Peng Hao
Journal:  Front Oncol       Date:  2021-05-03       Impact factor: 6.244

4.  Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI.

Authors:  Peng Wang; Zuohua Tang; Zebin Xiao; Rujian Hong; Rong Wang; Yuzhe Wang; Yang Zhan
Journal:  Eur Radiol       Date:  2021-08-24       Impact factor: 5.315

5.  Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values.

Authors:  Chen Chen; Yuhui Qin; Haotian Chen; Junying Cheng; Bo He; Yixuan Wan; Dongyong Zhu; Fabao Gao; Xiaoyue Zhou
Journal:  Eur Radiol       Date:  2022-01-14       Impact factor: 7.034

6.  Diffusion-Weighted Magnetic Resonance Imaging in Maxillary Sinuses Inflammatory Diseases: Report of Three Cases and Literature Review.

Authors:  Luciana Munhoz; Reinaldo Abdala Júnior; Rogério Abdala; Junichi Asaumi; Emiko Saito Arita
Journal:  J Oral Maxillofac Res       Date:  2018-06-29
  6 in total

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