The value of magnetic resonance imaging in the differentiation between malignant peripheral nerve-sheath tumors and non-neurogenic malignant soft-tissue tumors

2006 ◽  
Vol 35 (10) ◽  
pp. 745-753 ◽  
Author(s):  
B. H. Van Herendael ◽  
S. R. G. Heyman ◽  
F. M. Vanhoenacker ◽  
G. De Temmerman ◽  
J. L. Bloem ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Resonance Imaging ◽  
Nerve Sheath Tumors ◽  
Peripheral Nerve Sheath Tumors ◽  
Malignant Soft Tissue Tumors ◽  
Nerve Sheath ◽  
Malignant Soft Tissue

Differentiation of soft tissue benign and malignant peripheral nerve sheath tumors with magnetic resonance imaging

2008 ◽  
Vol 32 (2) ◽  
pp. 121-127 ◽  
Author(s):  
Chao-Shiang Li ◽  
Guo-Shu Huang ◽  
Hong-Da Wu ◽  
Wei-Tsung Chen ◽  
Li-Sun Shih ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Peripheral Nerve ◽  
Resonance Imaging ◽  
Nerve Sheath Tumors ◽  
Peripheral Nerve Sheath Tumors ◽  
Nerve Sheath

Magnetic Resonance Imaging of Peripheral Nerve Sheath Tumors

1990 ◽  
Vol 25 (11) ◽  
pp. 1238-1245 ◽  
Author(s):  
F A MANN ◽  
WILLIAM A. MURPHY ◽  
WILLIAM G. TOTTY ◽  
B J MANASTER
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Peripheral Nerve ◽  
Resonance Imaging ◽  
Nerve Sheath Tumors ◽  
Peripheral Nerve Sheath Tumors ◽  
Nerve Sheath

scholarly journals Nerve Tumors: What the MSK Radiologist Should Know

2019 ◽  
Vol 23 (01) ◽  
pp. 076-084 ◽  
Author(s):  
Amanda Isaac ◽  
Bianca Bignotti ◽  
Federica Rossi ◽  
Federico Zaottini ◽  
Carlo Martinoli ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Peripheral Nerve ◽  
Soft Tissue Tumors ◽  
Imaging Feature ◽  
Resonance Imaging ◽  
Neurogenic Tumors ◽  
Nerve Sheath ◽  
Neural Origin

AbstractNerve tumors are rare and heterogeneous soft tissue tumors arising from a peripheral nerve or showing nerve sheath differentiation. In a radiologic setting it is necessary to recognize soft tissue lesions that are of neural origin, their association with a peripheral nerve, and whether they are a true tumor or a so-called pseudotumor such as a neuroma, fibrolipoma, or peripheral nerve sheath ganglion. Ultrasound (US) and magnetic resonance imaging are the best modalities to characterize these lesions. US can be used to guide biopsy in difficult and uncertain cases when the lesion is either indeterminate or possibly malignant. At present, no single imaging feature or reproducible criteria, or a combination, can differentiate reliably between a neurofibroma and a schwannoma or discriminate with certainty between benign and malignant neurogenic tumors. Adequate imaging and consultation with a nerve tumors/sarcoma unit is advised.

scholarly journals Benign or Malignant Characterization of Soft-Tissue Tumors by Using Semiquantitative and Quantitative Parameters of Dynamic Contrast-Enhanced Magnetic Resonance Imaging

2020 ◽  
Vol 71 (1) ◽  
pp. 92-99
Author(s):  
Yu Zhang ◽  
Bin Yue ◽  
Xiaodan Zhao ◽  
Haisong Chen ◽  
Lingling Sun ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Soft Tissue ◽  
Soft Tissue Tumors ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Malignant Soft Tissue Tumors ◽  
Dynamic Contrast Enhanced ◽  
Quantitative Parameters ◽  
Contrast Enhanced ◽  
Malignant Soft Tissue

Purpose: To evaluate the efficacy of the semiquantitative and quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating between benign and malignant soft-tissue tumors. Methods: A total of 45 patients with pathologically confirmed soft-tissue tumors (15 benign and 30 malignant tumors) underwent DCE-MRI. The semiquantitative parameters assessed were as follows: time to peak (TTP), maximum concentration (MAX Conc), area under the curve of time-concentration curve (AUC-TC), and maximum rise slope (MAX Slope). Quantitative DCE-MRI was analyzed with the extended Tofts-Kety model to assess the following quantitative parameters: volume transfer constant (Ktrans), microvascular permeability reflux constant (Kep), and distribute volume per unit tissue volume (Ve). Data were evaluated using the independent t test or Mann-Whitney U test and receiver operating characteristic (ROC) curves. Results: The TTP ( P = .0035), MAX Conc ( P = .0018), AUC-TC ( P = .0018), MAX Slope ( P = .0018), Ktrans ( P = .0018), and Kep ( P = .0035) were significantly different between the benign and malignant soft-tissue tumors. The AUC of the ROC curve demonstrated the diagnostic potential of TTP (0.778), MAX Conc (0.849), AUC-TC (0.831), MAX Slope (0.847), Ktrans (0.836), Kep (0.778), and Ve (0.638). Conclusions: The use of semiquantitative and quantitative parameters of DCE-MRI enabled differentiation between benign and malignant soft-tissue tumors. The values of TTP were lower, while those of MAX Conc, AUC-TC, MAX Slope, Ktrans, and Kep were higher in malignant than in benign tumors.

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