Use-fullness of dynamic contrast-enhanced MR imaging and diffusion weighted MR imaging for differentiation of benign and malignant parotid tumors

2018 ◽  
pp. 1-6
Keyword(s):  
Mr Imaging ◽  
Malignant Tumors ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Parotid Tumors ◽  
Contrast Enhanced ◽  
Type C ◽  
Sensitivity Specificity ◽  
And Diffusion ◽  
Malignant Parotid Tumors

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.

Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer

2017 ◽  
Vol 59 (8) ◽  
pp. 1010-1017 ◽  
Author(s):  
Kristine E Fasmer ◽  
Atle Bjørnerud ◽  
Sigmund Ytre-Hauge ◽  
Renate Grüner ◽  
Ingvild L Tangen ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Cancer Patients ◽  
Diffusion Weighted Imaging ◽  
Histological Subtype ◽  
Dce Mri ◽  
Aggressive Disease ◽  
Imaging Parameters ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
And Diffusion

Background Quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) may yield preoperative tumor biomarkers relevant for prognosis and therapy in cancer. Purpose To explore the value of preoperative DCE-MRI and DWI for the prediction of aggressive disease in endometrial cancer patients. Material and Methods Preoperative MRI (1.5-T) from 177 patients were analyzed and imaging parameters reflecting tumor microvasculature (from DCE-MRI) and tumor microstructure (from DWI) were estimated. The derived imaging parameters were explored in relation to clinico-pathological stage, histological subtype and grade, molecular markers, and patient outcome. Results Low tumor blood flow (Fb) and low rate constant for contrast agent intravasation (kep) were associated with high-risk histological subtype ( P ≤ 0.04 for both) and tended to be associated with poor prognosis ( P ≤ 0.09). Low tumor apparent diffusion coefficient (ADC) value and large tumor volume were both significantly associated with deep myometrial invasion ( P < 0.001 for both) and were also unfavorable prognostic factors ( P = 0.05 and P < 0.001, respectively). Conclusion DCE-MRI and DWI represent valuable supplements to conventional MRI by providing preoperative imaging biomarkers that predict aggressive disease in endometrial cancer patients.

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging of bone marrow in healthy individuals

2011 ◽  
Vol 52 (3) ◽  
pp. 324-330 ◽  
Author(s):  
Jens Hillengass ◽  
Bram Stieltjes ◽  
Tobias Bäuerle ◽  
Fabienne McClanahan ◽  
Christiane Heiss ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Bone Marrow ◽  
Magnetic Resonance ◽  
Diffusion Weighted Imaging ◽  
Healthy Individuals ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
And Diffusion

Dynamic contrast-enhanced and diffusion-weighted MR imaging in the characterisation of small, non-palpable solid testicular tumours

2017 ◽  
Vol 28 (2) ◽  
pp. 554-564 ◽  
Author(s):  
Lucia Manganaro ◽  
Matteo Saldari ◽  
Carlotta Pozza ◽  
Valeria Vinci ◽  
Daniele Gianfrilli ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Testicular Tumours ◽  
Dynamic Contrast Enhanced ◽  
Diffusion Weighted ◽  
Contrast Enhanced ◽  
And Diffusion

scholarly journals Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging in the differential diagnosis of parotid tumors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shiyu Xiang ◽  
Jiliang Ren ◽  
Zhipeng Xia ◽  
Ying Yuan ◽  
Xiaofeng Tao
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Parotid Gland ◽  
Benign Tumors ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Parotid Gland Tumors ◽  
Parotid Tumors ◽  
Contrast Enhanced

Abstract Objective Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) histograms were used to investigate whether their parameters can distinguish between benign and malignant parotid gland tumors and further differentiate tumor subgroups. Materials and methods A total of 117 patients (32 malignant and 85 benign) who had undergone DCE-MRI for pretreatment evaluation were retrospectively included. Histogram parameters including mean, median, entropy, skewness, kurtosis and 10th, 90th percentiles were calculated from time to peak (TTP) (s), wash in rate (WIR) (l/s), wash out rate (WOR) (l/s), and maximum relative enhancement (MRE) (%) mono-exponential models. The Mann–Whitney U test was used to compare the differences between the benign and malignant groups. The diagnostic value of each significant parameter was determined on Receiver operating characteristic (ROC) analysis. Multivariate stepwise logistic regression analysis was used to identify the independent predictors of the different tumor groups. Results For both the benign and malignant groups and the comparisons among the subgroups, the parameters of TTP and MRE showed better performance among the various parameters. WOR can be used as an indicator to distinguish Warthin’s tumors from other tumors. Warthin’s tumors showed significantly lower values on 10th MRE and significantly higher values on skewness TTP and 10th WOR, and the combination of 10th MRE, skewness TTP and 10th WOR showed optimal diagnostic performance (AUC, 0.971) and provided 93.12% sensitivity and 96.70% specificity. After Warthin’s tumors were removed from among the benign tumors, malignant parotid tumors showed significantly lower values on the 10th TTP (AUC, 0.847; sensitivity 90.62%; specificity 69.09%; P < 0.05) and higher values on skewness MRE (AUC, 0.777; sensitivity 71.87%; specificity 76.36%; P < 0.05). Conclusion DCE-MRI histogram parameters, especially TTP and MRE parameters, show promise as effective indicators for identifying and classifying parotid tumors. Entropy TTP and kurtosis MRE were found to be independent differentiating variables for malignant parotid gland tumors. The 10th WOR can be used as an indicator to distinguish Warthin’s tumors from other tumors.

Sign in / Sign up

Export Citation Format

Share Document