scholarly journals Role of Diffusion Weighted Imaging in the Differentiation between Benign and Malignant Breast Masses in Correlation with Sono-Mammography

2018 ◽  
Vol 86 (12) ◽  
pp. 3881-3891
Author(s):  
DALIA M. BAYOUMI, M.D.; EMAN ABD EL-SALAM, M.D. ◽  
MARWA SHABANA, M.Sc.; OMAR FAROUK, M.D. ◽  
NERMIN SOLIMAN, M.D.*
Keyword(s):  
Diffusion Weighted Imaging ◽  
Breast Masses ◽  
Diffusion Weighted ◽  
Malignant Breast

scholarly journals The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses

2020 ◽  
Vol 3 (1) ◽  
pp. 37-46
Author(s):  
Aysu Basak Ozbalci ◽  
Emine Ozturk ◽  
Cuneyt Yucesoy ◽  
Gokhan Selcuk Ozbalci ◽  
Gaye Ebru Seker
Keyword(s):  
Magnetic Resonance ◽  
Diffusion Weighted Imaging ◽  
Breast Masses ◽  
Diffusion Weighted

scholarly journals Utility of diffusion weighted mr in diffrentation between benign and malgnant breast lesions

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
A E E Rady ◽  
H M Sakr ◽  
Y I Abdelkhalie ◽  
A S M Sadek
Keyword(s):  
Diffusion Weighted Imaging ◽  
Breast Lesions ◽  
Adc Value ◽  
Breast Masses ◽  
Conventional Mri ◽  
Diffusion Weighted ◽  
Apparent Diffusion ◽  
Malignant Breast ◽  
Adc Values ◽  
Value Measurement

Abstract Purpose of this Study is To evaluate the role of DWI MRI in the differentiation between benign and malignant breast lesions. Methods The study included 40 patients all of them were females with positive breast lesion detected by ultrasound or mammography (between 25 and 66 years of age) referred from surgery and oncology departments. Each patient included in the study was subjected to full history taking, mammography, ultrasonography and conventional MRI sequences and Diffusion Weighted imaging and ADC value measurement. Technique was performed using a standard 1.5 Tesla unit (Acheiva, Philips). Results The study showed significant results were obtained between ADC values of benign and malignant lesions (p < 0.001). Conclusion According to the results of this study we concluded that the addition of DW-MRI and ADC value measurements to the conventional MRI of the breast increased the accuracy of diagnosis and characterization of different breast masses. Also, the use of DW-MRI with ADC value measurements was found to be a valuable quantitative analysis. Keywords Breast masses– MRI – Diffusion weighted imaging Apparent diffusion coefficient.

scholarly journals The role of histogram analysis in diffusion-weighted imaging in the differential diagnosis of benign and malignant breast lesions

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ya-Nan Jin ◽  
Yan Zhang ◽  
Jing-Liang Cheng ◽  
Xiao-Pan Zhang ◽  
Ying Hu ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Diffusion Weighted Imaging ◽  
Region Of Interest ◽  
Maximum Level ◽  
Histogram Analysis ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Diffusion Weighted ◽  
Malignant Breast

Abstract Background The present study aims to investigate the role of histogram analysis of intravoxel incoherent motion (IVIM) in the differential diagnosis of benign and malignant breast lesions. Methods The magnetic resonance imaging and clinical data of 55 patients (63 lesions) were retrospectively analyzed. The multi-b-valued diffusion-weighted imaging image was processed using the MADC software to obtain the gray-scaled maps of apparent diffusion coefficient (ADC)-slow, ADC-fast and f. The MaZda software was used to extract the histogram metrics of these maps. Combined with the conventional sequence images, the region of interest (ROI) was manually drawn along the edge of the lesion at the maximum level of the gray-scale image, and the difference of the data was analyzed between the benign and malignant breast lesions. Results There were 29 patients with 37 benign lesions, which included 23 fibroadenomas, 6 adenosis, 1 breast cysts, 4 intraductal papillomas, and 3 inflammations of breast. Furthermore, 26 malignant lesions in 26 patients, which included 20 non-specific invasive ductal carcinomas, 5 intraductal carcinomas and 1 patient with squamous cell carcinoma. The ADC-slow (mean and the 50th percentile) and f (minimum, mean, kurtosis, the 10th percentile and 50th percentile) of these malignant breast lesions were significantly lower than those of benign lesions (P < 0.05), while ADC-fast (kurtosis) and f (variance, skewness) of these malignant breast lesions were significantly higher than those of benign lesions (P < 0.05). Conclusion The histogram analysis of ADC-slow (mean and the 50th percentile), ADC-fast (kurtosis) and f (minimum, mean, kurtosis, the 10th percentile and 50th percentile. Variance, skewness) can provide a more objective and accurate basis for the differential diagnosis of benign and malignant breast lesions.

scholarly journals Role of Quantitative Diffusion-Weighted Imaging in Differentiating Benign and Malignant Orbital Masses

2021 ◽  
Author(s):  
Preeti Mundhada ◽  
Sudarshan Rawat ◽  
Ullas Acharya ◽  
Dhananjay Raje
Keyword(s):  
Roc Curve ◽  
Diffusion Weighted Imaging ◽  
Care Hospital ◽  
Adc Value ◽  
Diffusion Weighted ◽  
Significant Difference ◽  
Orbital Masses ◽  
Adc Values ◽  
Orbital Lesions

Abstract Aim To determine the role of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) values in differentiating benign and malignant orbital masses. Materials and Methods After obtaining institutional ethical board approval and informed consent from all patients, an observational study was done for a period of 24 months in the radiology department of a tertiary care hospital in South India. Conventional magnetic resonance imaging and DWI using a 3T scanner was done for all patients with suspected orbital mass lesion. ADC value and clinicohistopathological correlation were studied for every patient. Chi-square test was used to compare the signal characteristics of DWI and ADC maps between benign and malignant lesions. A comparison of mean ADC values for benign and malignant masses was performed using Student’s t-test for independent samples. The cut-off value for ADC was obtained using the receiver operating characteristic (ROC) curve. Results Of 44 patients with orbital lesions, 70% were benign and 30% were malignant. There was a significant difference in the mean ADC values of benign and malignant orbital masses. Using ROC curve analysis, an optimal ADC threshold of 1.26 × 10−3 mm2/s was calculated for the prediction of malignancy with 100% sensitivity, 80.65% specificity, and 86.36% accuracy (95% confidence interval: 0.872, 1.00, p < 0.0001). Two ADC thresholds were used to characterize the orbital masses with more than 90% confidence. Conclusion Quantitative assessment of ADC is a useful noninvasive diagnostic tool for differentiating benign and malignant orbital masses. Malignant orbital lesions demonstrate significantly lower ADC values as compared with benign lesions.

Role of Diffusion Weighted Imaging in Differentiating Benign from Pathological Vertebral Compression

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Faten Mohammed Mahmoud Kamel ◽  
Hazem Ibrahim Abdel Rahman ◽  
Amany Sayed Khaleel Ahmed Elkhayat
Keyword(s):  
Vertebral Fractures ◽  
Diffusion Weighted Imaging ◽  
Laboratory Evaluation ◽  
Vertebral Collapse ◽  
Adc Value ◽  
Conventional Mri ◽  
Diffusion Weighted ◽  
Significant Difference

Abstract Background Vertebral collapse is a common problem due to benign conditions (trauma, infection, osteoporosis) or malignant process. And although the spine is the most common site of bone metastases (39% of bony metastases in patients with primary neoplasms) benign vertebral fractures due to osteopenia occur in one third of cancer patients, making it essential to determine whether the cause of vertebral collapse is benign or malignant. Aim of the Work To establish the role of DWI in differentiating benign from pathologic vertebral fractures using ADC values in comparison with histopathology report /laboratory evaluation and clinical follow-up. Patients and Methods A cross sectional study is approved by the ethics review board of Ain Shams University Hospital (Al Demerdash). All patients provided informed consent for the MR imaging examinations and for inclusion of their data in this analysis. From April 2020 to october 2020, 25 cases with previous imaging with vertebral compression underwent conventional MRI study on the affected region. Diffusion weighted imaging and ADC was added. Results We performed DWI using maximum b-values 600, and quantitative analysis, named apparent diffusion coefficient (ADC). We correlated the ADC number to histopathology, laboratory finding and clinical follow up. In our study there was significant difference (p &lt; 0.04) between DWI of the benign and malignant groups. Also the ADC value showed significant difference &lt;0.001. The mean ADCs of benign VCFs were higher significantly than those of pathological fractures. Conclusion DWI with ADC value was helpful when added to conventional MRI to differentiate benign from pathological (malignant) vertebral compression. It should be a routine sequence in patients with vertebral compression fractures for accurate diagnosis and successful management also can decrease no of biopsies.

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