scholarly journals Characterization of Pure Ductal Carcinoma In Situ on Dynamic Contrast-Enhanced MR Imaging: Do Nonhigh Grade and High Grade Show Different Imaging Features?

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Siwa Chan ◽  
Jeon-Hor Chen ◽  
Garima Agrawal ◽  
Muqing Lin ◽  
Rita S. Mehta ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Kinetic Curve ◽  
Imaging Features ◽  
High Grade ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Mass Lesions ◽  
Grade Iii

To characterize imaging features of pure DCIS on dynamic contrast-enhanced MR imaging (DCE-MRI), 31 consecutive patients (37-81 years old, mean 56), including 2 Grade I, 16 Grade II, and 13 Grade III, were studied. MR images were reviewed retrospectively and the morphological appearances and kinetic features of breast lesions were categorized according to the ACR BI-RADS breast MRI lexicon. DCE-MRI was a sensitive imaging modality in detecting pure DCIS. MR imaging showed enhancing lesions in 29/31 (94%) cases. Pure DCIS appeared as mass type or non-mass lesions on MRI with nearly equal frequency. The 29 MR detected lesions include 15 mass lesions (52%), and 14 lesions showing non-mass-like lesions (48%). For the mass lesions, the most frequent presentations were irregular shape (50%), irregular margin (50%) and heterogeneous enhancement (67%). For the non-mass-like lesions, the clumped internal enhancement pattern was the dominate feature, seen in 9/14 cases (64%). Regarding enhancement kinetic curve, 21/29 (78%) lesions showed suspicious malignant type kinetics. No significant difference was found in morphology (), tumor size (P= 0.21), and kinetic characteristics () between non-high grade (I+II) and high-grade (III) pure DCIS.

Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast-enhanced histogram

2020 ◽  
Vol 61 (9) ◽  
pp. 1221-1227
Author(s):  
Han-wen Zhang ◽  
Gui-wen Lyu ◽  
Wen-jie He ◽  
Yi Lei ◽  
Fan Lin ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Histogram Analysis ◽  
High Grade ◽  
Diagnostic Efficiency ◽  
Roc Curve Analysis ◽  
Diagnostic Efficacy ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Significant Difference

Background In clinical diagnosis, some central nervous system lymphomas (CNSL) are difficult to distinguish from high-grade gliomas (HGG). Purpose To evaluate the diagnostic efficacy of the histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in the identification of CNSL and HGG. Material and Methods In all, 43 patients diagnosed with HGG (n = 28) and CNSL (n = 15) by histopathology underwent DCE-MRI scanning. Differences in histogram parameters based on DCE-MRI between HGG and CNSL were analyzed by Mann–Whitney U test. In addition, receiver operating characteristic (ROC) analysis was performed. Short-term follow-up of patients was performed using Kaplan–Meier analysis to explore the survival rates of HGG and CNSL. Results For the ROC curve analysis, we demonstrate that the 10th percentile of Ktrans (area under the curve [AUC] = 0.912, sensitivity = 86.7%, specificity = 92.9%), Kep (AUC = 0.940, sensitivity = 93.3%, specificity = 79.6%), Ve (AUC = 0.907, sensitivity = 86.7%, specificity = 89.3%), and AUC (AUC = 0.904, sensitivity = 86.7%, specificity = 92.9%) were significantly different between the CNSL and HGG groups ( P < 0.001), with high diagnostic efficiency. Table 2 shows that the histogram features based on AUC maps (10th, 25th, median, 75th, 90th, and mean) were always significantly higher in the CNSL group than in the HGG group ( P < 0.001). There was no significant difference in Vp or in the 75th, 90th and mean of Ktrans, Kep, and Ve between the CNSL and HGG groups ( P > 0.05). Conclusion A histogram analysis of DCE-MRI identified significant differences between HGG and CNSL, and this will help in the clinical differential diagnosis of these conditions.

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.

scholarly journals Circumscribed Mass Lesions on Mammography: Dynamic Contrast-Enhanced MR Imaging to Differentiate Malignancy and Benignancy

2008 ◽  
Vol 7 (4) ◽  
pp. 195-204 ◽  
Author(s):  
Takashi OKAFUJI ◽  
Hidetake YABUUCHI ◽  
Hiroyasu SOEDA ◽  
Yoshio MATSUO ◽  
Takeshi KAMITANI ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Mass Lesions

scholarly journals Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Pierre-Antoine Eliat ◽  
Damien Olivié ◽  
Stephan Saïkali ◽  
Béatrice Carsin ◽  
Hervé Saint-Jalmes ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Who Grade ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Glioneuronal Tumors ◽  
Who Grade Iii ◽  
Grade Iii

An interesting approach has been proposed to differentiate malignant glioneuronal tumors (MGNTs) as a subclass of the WHO grade III and IV malignant gliomas. MGNT histologically resemble any WHO grade III or IV glioma but have a different biological behavior, presenting a survival twice longer as WHO glioblastomas and a lower occurrence of metastases. However, neurofilament protein immunostaining was required for identification of MGNT. Using two complementary methods, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and texture analysis (MRI-TA) from the same acquisition process, the challenge is toin vivoidentify MGNT and demonstrate that MRI postprocessing could contribute to a better typing and grading of glioblastoma. Results are obtained on a preliminary group of 19 patients a posteriori selected for a blind investigation of DCE T1-weighted and TA at 1.5 T. The optimal classification (0/11 misclassified MGNT) is obtained by combining the two methods, DCE-MRI and MRI-TA.

Dynamic contrast-enhanced MR imaging in monitoring response to isolated limb perfusion in high-grade soft tissue sarcoma: initial results

2003 ◽  
Vol 13 (8) ◽  
pp. 1849-1858 ◽  
Author(s):  
Catherina S. P. van Rijswijk ◽  
Maartje J. A. Geirnaerdt ◽  
Pancras C. W. Hogendoorn ◽  
Johannes L. Peterse ◽  
Frits van Coevorden ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Mr Imaging ◽  
Isolated Limb Perfusion ◽  
High Grade ◽  
Dynamic Contrast Enhanced ◽  
Limb Perfusion ◽  
Contrast Enhanced ◽  
Initial Results ◽  
Monitoring Response

scholarly journals Effects of artery input function on dynamic contrast-enhanced MRI for determining grades of gliomas

2020 ◽  
pp. 20200699
Author(s):  
Lin Jia ◽  
Xia Wu ◽  
Qian Wan ◽  
Liwen Wan ◽  
Wenxiao Jia ◽  
...  
Keyword(s):  
Cerebral Artery ◽  
Input Function ◽  
P Value ◽  
Low Grade ◽  
High Grade ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Quantitative Parameters ◽  
Contrast Enhanced ◽  
High Grade Gliomas

Objective: To evaluate the effect of artery input function (AIF) derived from different arteries for pharmacokinetic modeling on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters in the grading of gliomas. Methods: 49 patients with pathologically confirmed gliomas were recruited and underwent DCE-MRI. A modified Tofts model with different AIFs derived from anterior cerebral artery (ACA), ipsilateral and contralateral middle cerebral artery (MCA) and posterior cerebral artery (PCA) was used to estimate quantitative parameters such as Ktrans (volume transfer constant) and Ve (fractional extracellular-extravascular space volume) for distinguishing the low grade glioma from high grade glioma. The Ktrans and Ve were compared between different arteries using Two Related Samples Tests (TRST) (i.e. Wilcoxon Signed Ranks Test). In addition, these parameters were compared between the low and high grades as well as between the grade II and III using the Mann-Whitney U-test. A p-value of less than 0.05 was regarded as statistically significant. Results: All the patients completed the DCE-MRI successfully. Sharp wash-in and wash-out phases were observed in all AIFs derived from the different arteries. The quantitative parameters (Ktrans and Ve) calculated from PCA were significant higher than those from ACA and MCA for low and high grades, respectively (p < 0.05). Despite the differences of quantitative parameters derived from ACA, MCA and PCA, the Ktrans and Ve from any AIFs could distinguish between low and high grade, however, only Ktrans from any AIFs could distinguish grades II and III. There was no significant correlation between parameters and the distance from the artery, which the AIF was extracted, to the tumor. Conclusion: Both quantitative parameters Ktrans and Ve calculated using any AIF of ACA, MCA, and PCA can be used for distinguishing the low- from high-grade gliomas, however, only Ktrans can distinguish grades II and III. Advances in knowledge: We sought to assess the effect of AIF on DCE-MRI for determining grades of gliomas. Both quantitative parameters Ktrans and Ve calculated using any AIF of ACA, MCA, and PCA can be used for distinguishing the low- from high-grade gliomas.

scholarly journals Dynamic Contrast Enhanced MRI in Glioma Diagnosis

2017 ◽  
pp. 88-96
Author(s):  
E. A. Nechipay ◽  
M. B. Dolgushin ◽  
A. I. Pronin ◽  
E. A. Kobyakova ◽  
L. M. Fadeeva
Keyword(s):  
Differential Diagnosis ◽  
Brain Tumors ◽  
Surgical Removal ◽  
Low Grade ◽  
Glial Tumors ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Informative Parameters ◽  
Contrast Enhanced ◽  
Grade Iii

The aim: to examine the possibility of using dynamic contrast  enhanced magnetic resonance imaging (DCE MRI) in clarifying the  diagnosis of glial brain tumors and the differentiation between them  on the basis of the malignancy degree. In this regard, the authors  evaluated the effectiveness of perfusion parameters (Ktrans, Kep, Ve and iAUC).Materials and methods.The study included examination of 54  patients with an established presence of brain glial tumors. Glioma  Grade I–II diagnosed in 13 (24.1%) and glioma Grade III–IV in 41  (75.9%) cases. Morphological verification of the diagnosis obtained  as a result of either surgical removal of the tumor or stereotactic biopsy was achieved in 31 (57.4%) patients: glial tumors Grade I–II  identified in 6 (19.4%), and glioma Grade III–IV – 25 (80.6%) cases. Results. According to DCE increasing of the malignancy degree of  glial tumors is followed by increasing of all perfusion parameters:  thus, the lowest values of Ktrans, Kep, Ve and iAUC were identified  in low grade gliomas (0.026 min−1, 0.845 min−1, 0.024 and 1.757,  respectively), the highest in gliomas Grade III–IV (0.052 min−1  1.083 min−1, 0.06 and 2.694, respectively). The most informative parameters with sensi tivity 90% and specificity 100% in the  differential diagnosis of gliomas Grade I-II and Grade III-IV are  Ktrans (cut-off = 0.16 min−1) and Ve (cut-off = 0.13).Conclusion.DCE MRI can be used in differential diagnosis of glial brain tumors of different malignancy grade.

scholarly journals DCE-MRI of esophageal carcinoma using star-VIBE compared with conventional 3D-VIBE

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
He-Ping Deng ◽  
Xue-Ming Li ◽  
Liu Yang ◽  
Yi Wang ◽  
Shao-Yu Wang ◽  
...  
Keyword(s):  
Esophageal Carcinoma ◽  
Free Breathing ◽  
Sequence Group ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Group A ◽  
Group B

AbstractTo investigate the value of the star-VIBE sequence in dynamic contrast-enhanced magnetic resonance imaging of esophageal carcinoma under free breathing conditions. From February 2019 to June 2020, 60 patients with esophageal carcinoma were prospectively enrolled to undergo dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with the K-space golden-angle radial stack-of-star acquisition scheme (star-VIBE) sequence (Group A) or conventional 3D volumetric-interpolated breath-hold examination (3D-VIBE) sequence (Group B), completely randomized grouping. The image quality of DCE-MRI was subjectively evaluated at five levels and objectively evaluated according to the image signal-to-noise ratio (SNR) and contrast-noise ratio (CNR). The DCE-MRI parameters of volume transfer constant (Ktrans), rate constant (Kep) and vascular extracellular volume fraction (Ve) were calculated using the standard Tofts double-compartment model in the post-perfusion treatment software TISSUE 4D (Siemens). Each group included 30 randomly selected cases. There was a significant difference in subjective classification between the groups (35.90 vs 25.10, p = 0.009). The study showed that both the SNR and CNR of group A were significantly higher than those of group B (p = 0.004 and < 0.001, respectively). There was no significant difference in Ktrans, Kep or Ve between the groups (all p > 0.05). The star-VIBE sequence can be applied in DCE-MRI examination of esophageal carcinoma, which can provide higher image quality than the conventional 3D-VIBE sequence in the free breathing state.

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