Role of exponential apparent diffusion coefficient in characterizing breast lesions by 3.0 Tesla diffusion-weighted magnetic resonance imaging

Abstract

Objective:To evaluate the role of exponential apparent diffusion coefficient (ADC) as a tool for differentiating benign and malignant breast lesions.Patients and Methods:This prospective observational study included 88 breast lesions in 77 patients (between 18 and 85 years of age) who underwent 3T breast magnetic resonance imaging (MRI) including diffusion-weighted imaging (DWI) using b-values of 0 and 800 s/mm2 before biopsy. Mean exponential ADC and ADC of benign and malignant lesions obtained from DWI were compared. Receiver operating characteristics (ROC) curve analysis was undertaken to identify any cut-off for exponential ADC and ADC to predict malignancy. P value of <0.05 was considered statistically significant. Histopathology was taken as the gold standard.Results:According to histopathology, 65 lesions were malignant and 23 were benign. The mean ADC and exponential ADC values of malignant lesions were 0.9526 ± 0.203 × 10−3 mm2/s and 0.4774 ± 0.071, respectively, and for benign lesions were 1.48 ± 0.4903 × 10−3 mm2/s and 0.317 ± 0.1152, respectively. For both the parameters, differences were highly significant (P < 0.001). Cut-off value of ≤0.0011 mm2/s (P < 0.0001) for ADC provided 92.3% sensitivity and 73.9% specificity, whereas with an exponential ADC cut-off value of >0.4 (P < 0.0001) for malignant lesions, 93.9% sensitivity and 82.6% specificity was obtained. The performance of ADC and exponential ADC in distinguishing benign and malignant breast lesions based on respective cut-offs was comparable (P = 0.109).Conclusion:Exponential ADC can be used as a quantitative adjunct tool for characterizing breast lesions with comparable sensitivity and specificity as that of ADC.

A Prospective Observational Study of Diagnostic Reliability of Semiquantitative and Quantitative High b-Value Diffusion-Weighted MRI in Distinguishing between Benign and Malignant Lung Lesions at 3 Tesla

“…Researchers have found eADC values as an effective quantitative parameter with comparable sensitivity and specificity to the ADC values in differentiating benign from malignant lesions in the breast and renal tumors at 3 Tesla MRI. 27,28 The eADC values were not effective in differentiating benign from malignant lung lesions in our study. The quoted studies have used b-values of 500 to 800 s/mm2, and they have conducted the study in the breast and renal tumors that do not have air surrounding them or air-containing cavities within them.…”

Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low‐Grade Gliomas Using Multiparametric MR Radiomic Features

“…Parametric maps of DWI were postprocessed using ADC programs with formulae A and B: where S 0 and S 1 are the signal intensities on images b 1 and b 0 obtained with the values b 1 (1000 s/mm 2 ) and b 0 (0 s/mm 2 ), respectively. In case of true diffusion restriction, the ADC images show the hypointense signal, and the eADC images show the hyperintense signal as seen on DW images, which greatly improves the tissue contrast relative to the ADC images while eliminating the T 2 shine‐through effect on DW images …”

“…In case of true diffusion restriction, the ADC images show the hypointense signal, and the eADC images show the hyperintense signal as seen on DW images, which greatly improves the tissue contrast relative to the ADC images while eliminating the T 2 shine-through effect on DW images. 22 CBF PROCESSION OF 3D-ASL. The CBF parametric map derived from the 3D-ASL modality was processed using the ASL program with formula C 23 :…”

Contribution of the Diffusion Weighted Magnetic Resonance Imaging on Classification of Hepatic Hydatid Cyst Types

“…Today, EADC measurements can also be done by using ADC maps as a new quantitative indicator, which is the mathematically negative exponential value of ADC, with which the T2 glare effect is removed, and lesion visualization is increased (9,10). There are studies showing that EADC maps are beneficial in lesion identification similar to ADC and in some cases, even superior to ADC (13,14).…”