scholarly journals Diagnostic value of preoperative MRI dynamic contrast imaging (DCE-MRI) combined with diffusion-weighted imaging (DWI) in breast cancer detection

2018 ◽  
Vol 2 (6) ◽  
Author(s):  
Peng Jing ◽  
Qiang Zhang
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Diffusion Weighted Imaging ◽  
Diagnostic Value ◽  
Diagnostic Methods ◽  
Contrast Imaging ◽  
Diagnostic Efficacy ◽  
Dce Mri ◽  
Diffusion Weighted ◽  
The Difference

Abstract Objective: To investigate the diagnostic efficacy of preoperative MRI dynamic contrast imaging (DCE-MRI) combined with diffusion-weighted imaging (DWI) in detecting breast cancer.Methods: A retrospective study was performed to compare the results of DCE-MRI combined with DWI in 78 patients with breast cancer who were treated in our hospital between January 20 and December 2018.  Results: After diagnosis, the coincidence rate of diagnosis by DCE-MRI combined with DWI was significantly higher than ultrasound (91.0% versus 55.1%, respectively; P< 0.05). Among the two diagnostic methods, DCE-MRI combined with DWI imaging showed more obvious tumor signals, and the difference was statistically significant (P<0.05).Conclusion: Preoperative application of DCE-MRI combined with DWI can provide a more accurate and effective reference for surgical planning.

scholarly journals Diffusion tensor imaging on 3-T MRI breast: diagnostic performance in comparison to diffusion-weighted imaging

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Dalia Abdelhady ◽  
Amany Abdelbary ◽  
Ahmed H. Afifi ◽  
Alaa-eldin Abdelhamid ◽  
Hebatallah H. M. Hassan
Keyword(s):  
Breast Cancer ◽  
Diffusion Tensor Imaging ◽  
Sensitivity And Specificity ◽  
Diffusion Weighted Imaging ◽  
Diffusion Tensor ◽  
Breast Mri ◽  
Breast Lesions ◽  
Dce Mri ◽  
Additional Tool ◽  
Diffusion Weighted

Abstract Background Breast cancer is the most prevalent cancer among females. Dynamic contrast-enhanced MRI (DCE-MRI) breast is highly sensitive (90%) in the detection of breast cancer. Despite its high sensitivity in detecting breast cancer, its specificity (72%) is moderate. Owing to 3-T breast MRI which has the advantage of a higher signal to noise ratio and shorter scanning time rather than the 1.5-T MRI, the adding of new techniques as diffusion tensor imaging (DTI) to breast MRI became more feasible. Diffusion-weighted imaging (DWI) which tracks the diffusion of the tissue water molecule as well as providing data about the integrity of the cell membrane has been used as a valuable additional tool of DCE-MRI to increase its specificity. Based on DWI, more details about the microstructure could be detected using diffusion tensor imaging. The DTI applies diffusion in many directions so apparent diffusion coefficient (ADC) will vary according to the measured direction raising its sensitivity to microstructure elements and cellular density. This study aimed to investigate the diagnostic accuracy of DTI in the assessment of breast lesions in comparison to DWI. Results By analyzing the data of the 50 cases (31 malignant cases and 19 benign cases), the sensitivity and specificity of DWI in differentiation between benign and malignant lesions were about 90% and 63% respectively with PPV 90% and NPV 62%, while the DTI showed lower sensitivity and specificity about 81% and 51.7%, respectively, with PPV 78.9% and NPV 54.8% (P-value ≤ 0.05). Conclusion While the DWI is still the most established diffusion parameter, DTI may be helpful in the further characterization of tumor microstructure and differentiation between benign and malignant breast lesions.

Ultra-High b-Value Diffusion-Weighted Imaging–Based Abbreviated Protocols for Breast Cancer Detection

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sabine Ohlmeyer ◽  
Frederik Bernd Laun ◽  
Sebastian Bickelhaupt ◽  
Theresa Palm ◽  
Rolf Janka ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Diffusion Weighted Imaging ◽  
B Value ◽  
Breast Cancer Detection ◽  
High B Value ◽  
Diffusion Weighted

scholarly journals Noncontrast MRI with advanced diffusion weighted imaging for breast cancer detection in a lactating woman

2020 ◽  
Vol 15 (11) ◽  
pp. 2358-2361
Author(s):  
Ana E. Rodríguez-Soto ◽  
Claire H. Meriwether ◽  
Andrew J. Park ◽  
Dennis W. Adams Jr ◽  
Anne Wallace ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Diffusion Weighted Imaging ◽  
Breast Cancer Detection ◽  
Diffusion Weighted

scholarly journals Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients

Diagnostics ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 538
Author(s):  
Eun Cho ◽  
Jin Hwa Lee ◽  
Hye Jin Baek ◽  
Ji Young Ha ◽  
Kyeong Hwa Ryu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Image Quality ◽  
Diffusion Weighted Imaging ◽  
Field Of View ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Diffusion Weighted ◽  
Index Cancer

Background: We evaluated the feasibility of the reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) with computed DWI technique by comparison and analysis of the inter-method agreement among acquired rFOV DWI (rFOVA), rFOV DWI with computed DWI technique (rFOVS), and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in patients with breast cancer. Methods: A total of 130 patients with biopsy-proven breast cancers who underwent breast MRI from April 2017 to December 2017 were included in this study. The rFOVS were reformatted by calculation of the apparent diffusion coefficient curve obtained from rFOVA b = 0 s/mm2 and b = 500 s/mm2. Visual assessment of the image quality of rFOVA b = 1000 s/mm2, rFOVS, and DCE MRI was performed using a four-point grading system. Morphologic analyses of the index cancer was performed on rFOVA, rFOVS, and DCE MRI. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast of tumor-to-parenchyma (TPC) were calculated. Results: Image quality scores with rFOVA, rFOVS, and DCE MRI were not significantly different (p = 0.357). Lesion analysis of shape, margin, and size of the index cancer also did not show significant differences among the three sequences (p = 0.858, p = 0.242, and p = 0.858, respectively). SNR, CNR, and TPC of DCE MRI were significantly higher than those of rFOVA and rFOVS (p < 0.001, p = 0.001, and p = 0.016, respectively). Significant differences were not found between the SNR, CNR, and TPC of rFOVA and those of rFOVS (p > 0.999, p > 0.999, and p > 0.999, respectively). Conclusion: The rFOVA and rFOVS showed nearly equivalent levels of image quality required for morphological analysis of the tumors and for lesion conspicuity compared with DCE MRI.

scholarly journals Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis

Breast Care ◽  
2021 ◽  
pp. 1-8
Author(s):  
Hans-Jonas Meyer ◽  
Andreas Wienke ◽  
Alexey Surov
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Diffusion Weighted Imaging ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Diagnose Breast Cancer ◽  
Luminal B ◽  
Diffusion Weighted ◽  
Adc Values

Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC).Diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. Objectives: This analysis aimed to compare ADC values between molecular subtypes of BC based on a large sample of patients. Method: The MEDLINE library and Scopus database were screened for the associations between ADC and molecular subtypes of BC up to April 2020. The primary end point of the systematic review was the ADC value in different BC subtypes. Overall, 28 studies were included. Results: The included studies comprised a total of 2,990 tumors. Luminal A type was diagnosed in 865 cases (28.9%), luminal B in 899 (30.1%), human epidermal growth factor receptor (Her2)-enriched in 597 (20.0%), and triple-negative in 629 (21.0%). The mean ADC values of the subtypes were as follows: luminal A: 0.99 × 10–3 mm2/s (95% CI 0.94–1.04), luminal B: 0.97 × 10–3 mm2/s (95% CI 0.89–1.05), Her2-enriched: 1.02 × 10–3 mm2/s (95% CI 0.95–1.08), and triple-negative: 0.99 × 10–3 mm2/s (95% CI 0.91–1.07). Conclusions: ADC values cannot be used to discriminate between molecular subtypes of BC.

Sign in / Sign up

Export Citation Format

Share Document