scholarly journals MR Imaging of Parotid Tumors: Typical Lesion Characteristics in MR Imaging Improve Discrimination between Benign and Malignant Disease

2011 ◽  
Vol 32 (7) ◽  
pp. 1202-1207 ◽  
Author(s):  
A. Christe ◽  
C. Waldherr ◽  
R. Hallett ◽  
P. Zbaeren ◽  
H. Thoeny
2018 ◽  
pp. 1-6

Objectives: To evaluate the usefullness of dynamic contrast-enhanced MR Imaging (DCE-MRI) and diffusion weighted imaging (DWI) for differentiating benign from malignant parotid tumors. Methods: Prospectively,DCE-MRI and DWI were performed in 112 patients, with 148 confirmed parotid masses. The differential optimal thresholds were determined. Results: WConsidering tumors with time-intensity curve (TIC) Type C as malignant, sensitivity, specificity, accuracy were 95%, 76%, 79%, respectively. Considering ADC threshold values 0.709×10-3mm2 /s<ADC<0.948×10-3mm2 /s as malignant, sensitivity, specificity, accuracy were 75%, 78%, 78%, respectively. Considering TIC Type C and ADC values 0.709×10-3mm2 /s<ADC<0.948×10-3mm2 /s as malignant, sensitivity, specificity, accuracy were 75%, 91%, 89%, respectively. With threshold Kep<1.118 min-1 and Ve >0.315 between Warthin and malignant tumors, threshold Kep>0.555 min-1 and Ve <0.605 between pleomorphic adenomas and malignant tumors, sensitivity, specificity, accuracy for malignancy were 70% vs 90%, 96% vs 74%, 92% vs 80%, respectively. Conclusion: DCE-MRI and DWI provide more information in differentiating benign from malignant parotid tumors.


1994 ◽  
Vol 35 (6) ◽  
pp. 532-540 ◽  
Author(s):  
I. Hovi ◽  
A. Lamminen ◽  
O. Salonen ◽  
R. Raininko

The findings on MR imaging of 28 patients with spinal infection and 40 patients with spinal malignant disease were compared. Spinal infections involved one to 4 vertebrae, usually (23/28) 2 vertebrae. The posterior elements were involved with certainty in 26/40 patients with malignancy but in none with infection. In the latter group, the posterior elements might have been involved in 3/28. The intervertebral disk between the infected vertebrae was involved in 26/28 patients and 21/28 had a paravertebral mass. Spinal malignancies affected the vertebrae alone in 19 patients and paravertebral extension was found in 21/40 patients. The intervertebral disk was involved only in one patient with malignancy. The differences in the distribution of the MR findings between spinal infection and spinal malignancy were highly significant (p < 0.001). The highest signal intensity of the infectious lesions on T2-weighted images was equal to or higher than that of the cerebrospinal fluid (CSF) in 26/28 patients. In contrast, the signal intensity of the malignant lesions was hypointense as compared to the CSF in 29/40 patients (p < 0.001). MR is a useful method for differentiating between infection and malignancy in the lower spine; T2-weighted images are especially valuable for differentiation.


Sarcoma ◽  
2008 ◽  
Vol 2008 ◽  
pp. 1-4 ◽  
Author(s):  
Ronald S. A. de Vreeze ◽  
Wim Koops ◽  
Rick L. Haas ◽  
Frits van Coevorden

The spectrum of lipomatous lesions ranges from benign to highly malignant disease. Differentiation between these lesions is important to indicate prognosis and choose the most appropriate treatment. Hemosiderotic fibrohistiocytic lipomatous lesion (HFLL) is a rare subtype of lipomatous tumor. The diagnosis is usually based on clinical, histological, and immunohistochemical information. Where magnetic resonance (MR) imaging is a suitable modality to assess fatty tumors, no data is reported on MR imaging of HFLL. Here, the MR characteristics are described in correlation with pathologic findings in a case of HFLL in the left thigh, an unusual location.


Radiology ◽  
1992 ◽  
Vol 185 (3) ◽  
pp. 691-696 ◽  
Author(s):  
N J Freling ◽  
W M Molenaar ◽  
A Vermey ◽  
E L Mooyaart ◽  
A K Panders ◽  
...  

2021 ◽  
pp. 109980
Author(s):  
Yuriko Murayama ◽  
Takeshi Kamitani ◽  
Koji Sagiyama ◽  
Yuzo Yamasaki ◽  
Tomoyuki Hida ◽  
...  

2017 ◽  
Vol 46 ◽  
pp. 37-43 ◽  
Author(s):  
Eiji Matsusue ◽  
Yoshio Fujihara ◽  
Eiken Matsuda ◽  
Yusuke Tokuyasu ◽  
Shu Nakamoto ◽  
...  

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