Role of diffusion MRI in characterizing benign and malignant breast lesions

Lalitha, Palle; Reddy, B. Kishore

doi:10.4103/0971-3026.57209

Cited by 31 publications

(20 citation statements)

References 6 publications

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“…These results are in concordance with findings of Palle lalitha et al, (8) on 200 patients with breast lesions using MR Mammography with DWI at b value of 0, 500, 1000. According to this study, the sensitivity of ADC values for the detection of malignant lesions was 97.22% and the specificity was 100% and the positive predictive value was 100% and the negative predictive value was 99%.…”

Section: Diffusion Weighted Imaging and Adc Valuesupporting

confidence: 82%

Imaging of Breast Lesions Using Conventional Magnetic Resonance Imaging and Diffusion Weighted Imaging

Menon¹,

Rajendran²,

Lakshmanan³

et al. 2015

jemds

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CONTEXT: Breast cancer is the second most common cancer in the world, and the second most common in cancer in Indian women. AIMS: The aims of this study were to differentiate between benign and malignant lesions using Diffusion Weighted Imaging, T2-weighted and T1-weighted imaging, and to set a cut off value of ADC to differentiate between benign and malignant lesions. MATERIALS AND METHODS: It included 51 patients between the ages of 15 and 75 years, coming to surgical OPD, Government Medical College, Kozhikode with USG/Mammogram proven breast lesions from January 2013 to September 2014. Non contrast MR Mammography was done using 1.5 T MR system. T1WI, T2WI and Diffusion weighted imaging (b= 0, 600) were done and ADC values were calculated for all the lesions. Validity parameters were assessed for each sequence and a combination of all the sequences. ROC curve was plotted and ADC cut off was chosen with a high sensitivity and specificity. RESULTS: Twenty nine lesions were categorized as benign and twenty two lesions were categorized as malignant based on the T1, T2 and DWI. By histopathological examination of these lesions, 2 lesions characterised as malignant turned out to be benign.T1WI was not found to be helpful in differentiating between benign and malignant lesions, whereas 95% of malignant lesions appeared either intermediate signal (90%) or hypointense (5%) in T2WI, conferring a sensitivity of 90.5% and specificity of 80.6% in detection of malignant lesions using T2WI. Applying an ADC threshold of 1.255×10 −3 mm2/s benign and malignant lesions could be differentiated with 100% sensitivity and 93.5% specificity, with a PPV of 90.9% and NPV of 100%. Mean ADC value of malignant lesions was found to be 1.13±0.007 mm 2 /s. CONCLUSION: Non contrast MRI using T2WI and DWI is a useful technique for characterizing breast lesions. It is also useful in the follow up of post lumpectomy irradiated breast to detect recurrence.

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Section: Diffusion Weighted Imaging and Adc Valuesupporting

confidence: 82%

Imaging of Breast Lesions Using Conventional Magnetic Resonance Imaging and Diffusion Weighted Imaging

Menon¹,

Rajendran²,

Lakshmanan³

et al. 2015

jemds

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“…Palle and Reddy (2009) found that the ADC value obtained with low b-values (0 and 150 s/mm 2 ) is higher than that obtained with higher b-values (499 and 1500 s/mm 2 ) for all lesion types due to contribution of main perfusion effects to the ADC. Therefore, we calculated the ADC value with high b-values (800) to avoid the signal attenuation caused by perfusion effects at low b-values (28).…”

Section: Discussionmentioning

confidence: 60%

Role of diffusion weighted images combined with breast MRI in improving the detection and differentiation of breast lesions

Hetta

2015

The Egyptian Journal of Radiology and Nuclear Medicine

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KEYWORDSBreast masses; Breast cancer; Breast MRI with DWI Abstract Purpose: To assess the impact of diffusion-weighted images as a complementary tool to conventional breast MRI in the evaluation of various breast lesions. Materials and methods: From November 2013 to June 2014 thirty patients referred from breast clinic by breast symptoms and abnormal sono-mammography lesions have been included in this study. All patients underwent breast DCE-MRI combined with DWI and the results were compared with the histopathological examination which was used as the standard diagnostic method. Results: The study included thirty patients complaining of breast lesions, 35 lesions were detected, according to the histopathological analysis, there were 20 malignant lesions (57.14%) and 15 benign lesions (42.86%). DCE-MRI had a sensitivity of 80%, a specificity of 73.33%, PPV of 80%, NPV of 73.3% and accuracy of 77.14%. The malignant lesions showed a mean ADC value of 1.03 ± 0.35. Alternatively, the benign lesions showed a mean ADC value of 1.38 ± 0.26. Among the 20 malignant lesions, 17 lesions showed an ADC value 61.20 mm 2 /s and 3 lesions showed an ADC value >1.20 mm 2 /s. While among the 15 benign lesions, 14 lesions showed ADC value >1.20 mm 2 /s and 1 lesion showed an ADC value 61.20. The ROC curve showed that the best ADC cut-off value to differentiate between benign and malignant lesions was 1.2 mm 2 /s (P < 0.001) with sensitivity, specificity, PPV, NPV and accuracy of 85%, 93.33%, 94.4%, 82.4% and 90.3% respectively. Conclusion: DWI had a higher sensitivity and specificity than DCE-MRI with ADC cut off value 1.20. This value was a sensitive and specific parameter in differentiating benign and malignant breast lesions.

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“…(7) False negative cases with higher ADC values were encountered in lesions with central necrosis and haemorrhage in a study conducted by Lalithe Palle and Reddy in 200 patients. (5) However, in our study, we did not encounter cases with central necrosis and haemorrhage.…”

Section: Role Of Dwi and Adc In Characterising Benign And Malignant Lmentioning

confidence: 81%

“…(4) Another study done by Lalithe Palle and Reddy et al in 200 patients, the sensitivity of this ADC cut-off for detection of malignant lesions was 97.2% and specificity was 100%. (5) Out of total 50 cases, histopathologically 24 turned out to be benign and 26 were malignant. The mean ADC for benign lesions was 1.7 and for malignant was 1.27.…”

Section: Role Of Dwi and Adc In Characterising Benign And Malignant Lmentioning

confidence: 99%

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Value of Diffusion-Weighted Mri in Birads 3 and 4 Breast Lesions

Lekshmy¹,

Sandya²,

Moorthy³

et al. 2017

jemds

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BACKGROUNDBreast cancer is the second leading cause of cancer deaths in women today. Important risk factors for female breast cancer include age (increases as women gets older), genetics, early onset of menarche and late age of menopause, family or personal history of breast cancer, obesity, nulliparity, use of HRT and OCPs, consumption of alcohol and a middle to high socioeconomic status. Diffusionweighted imaging is a new MR imaging technique in which contrast within the image is based on microscopic motion of water. It is reported to be highly sensitive for evaluation of breast cancer and a possible means of differentiating benign and malignant tumour. Diffusion is quantified by measuring apparent diffusion coefficient (ADC). This study was performed to determine whether diffusionweighted imaging can be useful for diagnosis of mammographically detected BIRADS 3 & 4 lesions, correlating with histopathological diagnosis and to derive ADC values which may allow distinguishing benign from malignant lesions.

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Role of diffusion MRI in characterizing benign and malignant breast lesions

Cited by 31 publications

References 6 publications

Imaging of Breast Lesions Using Conventional Magnetic Resonance Imaging and Diffusion Weighted Imaging

Imaging of Breast Lesions Using Conventional Magnetic Resonance Imaging and Diffusion Weighted Imaging

Role of diffusion weighted images combined with breast MRI in improving the detection and differentiation of breast lesions

Value of Diffusion-Weighted Mri in Birads 3 and 4 Breast Lesions

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