scholarly journals Dynamic Contrast Enhanced Breast MRI: Could it Add tothe Diagnosis of Various Breast Lesions?

2021 ◽  
Vol 89 (3) ◽  
pp. 307-314
Author(s):  
ENGY Sh. ELKAYAL, M.D.; MOHAMAD A. MAHMOUD, M.D. ◽  
SAHAR M. MANSOUR, M.D.; andMONA F. ABD-ELHADY, M.D.
Keyword(s):  
Breast Mri ◽  
Breast Lesions ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

The Role of Combined Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced MRI for Differentiating Malignant From Benign Breast Lesions Presenting Washout Curve

2020 ◽  
pp. 084653712090709
Author(s):  
Sehnaz Tezcan ◽  
Funda Ulu Ozturk ◽  
Nihal Uslu ◽  
Eda Yilmaz Akcay
Keyword(s):  
Breast Mri ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Cutoff Value ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Contrast Enhanced Mri

Purpose: The aim of this study is to evaluate the diagnostic performance of combined breast magnetic resonance imaging (MRI) protocol including dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted imaging (DWI) in patients with enhancing lesions that demonstrated washout curve and to determine whether applying apparent diffusion coefficient (ADC) cutoff value could improve the diagnostic value of breast MRI. Methods: The retrospective study included 116 patients with 116 suspicious breast lesions, which showed washout curve on DCE-MRI, who underwent subsequent biopsy. Morphologic characteristics on DCE-MRI and ADC values on DWI were evaluated. Apparent diffusion coefficient values and morphologic features of benign and malignant lesions were compared. Diagnostic values of DCE-MRI and combined MRI, including DCE-MRI and DWI (applying an ADC cutoff value) for distinguishing malignancy from benign lesions, were calculated. Results: Of the 116 breast lesions, 79 were malignant and 37 were benign. The ADC value of malignant tumors (median ADC, 0.72 × 10−3 mm2/s) was significantly lower than that of benign lesions (median ADC, 1.03 × 10−3 mm2/s; P < .000). The sensitivity and specificity of an ADC cutoff value of 0.89 × 10−3 mm2/s were 92% and 95%, respectively. Dynamic contrast-enhanced MRI alone presented 100% sensitivity and 59.4% specificity. Adding an ADC cutoff value of 0.89 × 10−3 mm2/s provided 100% sensitivity and 81% specificity, which would have prevented biopsy for 21.6% of benign lesions without missing any malignancies. Conclusion: Applying an ADC cutoff value to DCE-MRI provides an improvement in the diagnostic value of breast MRI for differentiating among lesions presenting washout curve.

scholarly journals Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 330
Author(s):  
Mio Adachi ◽  
Tomoyuki Fujioka ◽  
Mio Mori ◽  
Kazunori Kubota ◽  
Yuka Kikuchi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Magnetic Resonance ◽  
Diagnostic Performance ◽  
Maximum Intensity Projection ◽  
Breast Mri ◽  
Magnetic Resonance Images ◽  
Maximum Intensity ◽  
Validation Data ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

We aimed to evaluate an artificial intelligence (AI) system that can detect and diagnose lesions of maximum intensity projection (MIP) in dynamic contrast-enhanced (DCE) breast magnetic resonance imaging (MRI). We retrospectively gathered MIPs of DCE breast MRI for training and validation data from 30 and 7 normal individuals, 49 and 20 benign cases, and 135 and 45 malignant cases, respectively. Breast lesions were indicated with a bounding box and labeled as benign or malignant by a radiologist, while the AI system was trained to detect and calculate possibilities of malignancy using RetinaNet. The AI system was analyzed using test sets of 13 normal, 20 benign, and 52 malignant cases. Four human readers also scored these test data with and without the assistance of the AI system for the possibility of a malignancy in each breast. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were 0.926, 0.828, and 0.925 for the AI system; 0.847, 0.841, and 0.884 for human readers without AI; and 0.889, 0.823, and 0.899 for human readers with AI using a cutoff value of 2%, respectively. The AI system showed better diagnostic performance compared to the human readers (p = 0.002), and because of the increased performance of human readers with the assistance of the AI system, the AUC of human readers was significantly higher with than without the AI system (p = 0.039). Our AI system showed a high performance ability in detecting and diagnosing lesions in MIPs of DCE breast MRI and increased the diagnostic performance of human readers.

Variable spatiotemporal resolution three-dimensional dixon sequence for rapid dynamic contrast-enhanced breast MRI

2014 ◽  
Vol 40 (6) ◽  
pp. spcone-spcone
Author(s):  
Manojkumar Saranathan ◽  
Dan W. Rettmann ◽  
Brian A. Hargreaves ◽  
Jafi A. Lipson ◽  
Bruce L. Daniel
Keyword(s):  
Three Dimensional ◽  
Breast Mri ◽  
Spatiotemporal Resolution ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Characterization of Metastatic Sternal Lesions on Dynamic Contrast-Enhanced Breast MRI in Women with Invasive Breast Cancer

2019 ◽  
Vol 26 (10) ◽  
pp. 1358-1362
Author(s):  
Amie Y. Lee ◽  
Ryan Navarro ◽  
Lindsay P. Busby ◽  
Heather I. Greenwood ◽  
Matthew D. Bucknor ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Breast Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

Comparison of FDG-PET and dynamic contrast-enhanced MRI in the evaluation of suggestive breast lesions

The Breast ◽  
2003 ◽  
Vol 12 (1) ◽  
pp. 17-22 ◽  
Author(s):  
M Heinisch ◽  
H.J Gallowitsch ◽  
P Mikosch ◽  
E Kresnik ◽  
G Kumnig ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Breast Lesions ◽  
Dynamic Contrast Enhanced Mri ◽  
Dynamic Contrast Enhanced ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Contrast Enhanced Mri

Multiparametric Approach with Dynamic Contrast-Enhanced Mri, Diffusion-Weighted Imaging and Mrs of The Breast in Assessment of Suspicious Breast Lesions

2020 ◽  
Vol 106 (1_suppl) ◽  
pp. 16-16
Author(s):  
SM Abd Elsalam ◽  
AH Said ◽  
MH Sarah
Keyword(s):  
Magnetic Resonance ◽  
Diffusion Weighted Imaging ◽  
Kinetic Curve ◽  
Resonance Spectroscopy ◽  
Breast Lesions ◽  
Adc Value ◽  
Dynamic Contrast Enhanced ◽  
Cancer Breast ◽  
Diffusion Weighted ◽  
Contrast Enhanced

Introduction: Breast cancer is the most invasive malignant tumour in females worldwide and is the second leading cause of cancer death in females after lung cancer. In Egypt, cancer breast is the first common site of tumours among females (32%) and the second common tumour site in both sexes. The aim of this study was to evaluate and compare the diagnostic performance of quantitative parameters derived from diffusion-weighted imaging (DWI), dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and magnetic resonance spectroscopy (MRS) with ultrasound +/- conventional mammography in differentiating suspicious breast masses (BI-RADS III and IV) and to suggest the most accurate imaging combination for early diagnosis and treatment of cancer breast. Materials and Methods: The study included 40 patients with suspicious breast lesions detected by clinical examination, ultrasound+/- mammography . Dynamic MRI study was performed using 1.5T MRI. Lesions were analyzed regarding their morphology, kinetic curve pattern, ADC value and tCho peak measurement. The results of each MRI parameter were correlated to histo-pathology. Results: In this study sensitivity of sono-mammography was 70% and its specificity was 66.6%. According to using MRI sensitivity was 90% and specificity was 80% by using morphological and curve patterns. As regarding MRS sensitivity was 50% and specificity was 86.7%. Regarding sensitivity of ADC was 90%while its specificity was 93%. The cut off ADC value was 0.95 x 10−3 mm2/s. By using MRI with additive modalities (ADC and MRS) sensitivity was 100% and specificity was 93%. Conclusion: In comparison with MRI, sonomammography alone lack both sensitivity and specificity in detection of breast lesions in suspicious cases. MRI with additive modalities (ADC and MRS) is the best imaging modality in detection of malignant cases and exclusion of benign cases.

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