Differential Diagnosis Of Breast Tumors Research Articles

Applications of Mechanical Arm in the Virtual Touch Tissue Imaging Quantification and the Differential Diagnosis of Breast Tumors.

To assess the diagnostic performance of quantitative parameters for virtual touch tissue imaging quantification by the mechanical arm probe, 128 women with 152 breast lesions (90 benign and 62 malignant) were included and maximum elasticity (Vmax), median elasticity (Vmean), maximum elasticity minus minimum (Vmax-min), and minimum elasticity (Vmin) were measured. Intercorrelation coefficients and Bland-Altman plots were used to compare the repeatability and consistency of handheld probe and mechanical arm measurements. Receiver operating characteristic curve was used to evaluate the diagnostic efficiency. The results showed that intercorrelation coefficients were 0.694 to 0.951 by the mechanical arm and 95% limits of agreement were wider than handheld probe. Using 4.36 m/s as cutoff value for Vmax by the mechanical arm, we achieved sensitivity (88.7%) and specificity (90.0%). We concluded that the mechanical arm can reduce the influence of different scanning pressures on the elastic modulus of breast tissue.

Breast involvement in granulomatosis with polyangiitis: a case report

BackgroundGranulomatosis with polyangiitis (GPA) previously known as Wegener's granulomatosis is a rare complex immune-mediated disease and a multisystem disorder with varying presentations where many of the imaging features of GPA overlap with those of other diseases, and hence its diagnosis can be challenging.Case presentationHere we report a case of a 48-year-old female who presented with complaints of hemoptysis, difficulty in speech, bilateral progressive hearing loss and, a palpable lump in the right breast. The case was initially misdiagnosed as breast carcinoma but biopsy proved to be GPA. Here we present the multisystem manifestations of GPA involving the head and neck, breast, lungs, spleen with involvement of the breast being very rare. The breast lesion showed improvement with steroids on follow-up.ConclusionsGPA is a multisystem disease and though breast lesions in GPA are rare, a thorough knowledge about this uncommon manifestation is required and clinical, radiological, and histopathological correlation is of utmost importance in the evaluation of a breast lesion in cases of multisystem involvement to avoid unnecessary surgeries. The differential diagnosis of breast tumors should include such rare conditions that can sometimes mimic breast cancer. Early diagnosis and initiation of the immunosuppressive treatment help in a better prognosis of the disease.

A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors

Breast cancer is one of the leading causes of female cancer deaths. Early diagnosis with prophylactic may improve the patients’ prognosis. So far ultrasound (US) imaging has been a popular method in breast cancer diagnosis. However, its accuracy is bounded to traditional handcrafted feature methods and expertise. A novel method, named dual-sampling convolutional neural networks (DSCNNs), was proposed in this paper for the differential diagnosis of breast tumors based on US images. Combining traditional convolutional and residual networks, DSCNN prevented gradient disappearance and degradation. The prediction accuracy was increased by the parallel dual-sampling structure, which can effectively extract potential features from US images. Compared with other advanced deep learning methods and traditional handcrafted feature methods, DSCNN reached the best performance with an accuracy of 91.67% and an area under curve of 0.939. The robustness of the proposed method was also verified by using a public dataset. Moreover, DSCNN was compared with evaluation from three radiologists utilizing US-BI-RADS lexicon categories for overall breast tumors assessment. The result demonstrated that the prediction sensitivity, specificity and accuracy of the DSCNN were higher than those of the radiologist with 10 year experience, suggesting that the DSCNN has the potential to help doctors make judgements in clinic.

APPLICATION OF 2D ULTRASOUND, ELASTOGRAPHY ARFI AND MAMMOGRAPHY FOR DIAGNOSIS OF SOLID TUMORS IN BREAST

Objective: To study image characteristics and values of 2D ultrasound, elastography ARFI and Mammography in the diagnosis of solid tumors in the breast. Methods: 34 patients with breast tumors were examined for 2D ultrasound, elastography ARFI and Mammography imaging. Results of 2D ultrasound, elastography ARFI and mammography were classified according to BI-RADS ACR 2013. Comparison of image results with pathology to determine the diagnostic value of 2D ultrasound, 2D ultrasound combines with ARFI, and combine with Mammography. Results: 34 patients in which 14 benign tumors and 20 malignant tumors. On ultrasound 2D: Benign tumors have the main characteristics are oval, well - defined, parallel axis with skin, hypoechogen. Malignant tumors have the main features of spiculation, non-parallel axis with the skin, markedly hypoechoic with posterior acoustic shadowing, microcalcification, vascular proliferation and invasion. On ARFI, an average score of Ako Itoh of benign tumors and malignant tumors is 2.86 ± 0.36 and cut points between E3 and E4; SWVi, SWVb in benign tumors are smaller than malignant tumors with the cut points are: 7.13 m/s; 3.13m/s. 2D + ARFI: 100% Se, Sp 92.86%, PPV 95.24%, 100% higher than 2D ultrasound and 2D + ARFI combined mammography have the same value. Conclusion: 2D ultrasound combines with ARFI and mammography is valuable in diagnosis and differential diagnosis of breast tumors. Key words: 2D ultrasound, Elastography ARFI, Mammography

Qualitative analysis of contrast-enhanced ultrasound in differential diagnosis of breast lesions

The objective . Revelation of informative markers of qualitative analysis CEUS in the differential diagnosis of breast lesions, determination of effectiveness CEUS in the breast cancer examination. Materials and methods . The work is based on the results of a retrospective comparison ultrasound data with the histological results conducted in 145 women with breast lesions at the age of 17-71 years (average age was 45.5 years) from December 2017 until November 2018 year. Results. Statistical analysis of markers of qualitative assessment CEUS showed that more important markers in the differential diagnosis were - indicators of definition of the boundaries of lesion during CEUS (Se 79,27 Sp 63,41); the velocity of accumulation of contrast agent (Se 78,05 Sp 80,95); wash-out velocity from lesion (Se 68,29 Sp 95,24). Conclusion . Qualitative data analysis of CEUS provides to detail of breast lesions and surround tissues vascular architecture, improves differential diagnosis of breast tumors, which allows to reduce the number of additional methods of examination and biopsies, predict the volume of surgical and complex treatment.

Multicenter study to evaluate the difference between benign and malignant breast tumors by contrast-enhanced ultrasonography (JABTS FLOW-CEUS 01 study -part 2-)

Background Contrast-enhanced ultrasonography (CEUS) of the breast using perflubutane (Sonazoid®) has been utilized for over 6 years in Japan. Owing to advances in equipment and technology, reevaluation of CEUS findings and diagnostic criteria is of importance. Therefore, in the present study, we examined the contrast patterns of benign and malignant lesions on CEUS (JABTS FLOW-CEUS01, UMINID: 000026289). Objective First, we aimed to select typical CEUS images of malignant and benign breast tumors. Second, we aimed to reevaluate the diagnostic criteria for CEUS of breast tumors. Methods Two hundred and eighteen breast tumors from nine institutions evaluated using CEUS and subsequently histological examinations were analyzed in the present study. After evaluation of 30 educational cases that were extracted from the registered cases, we proposed CEUS findings and criteria for the differential diagnosis of breast tumors. The remaining 188 cases were used for the analysis, and the diagnosis was made by three blind readers. In accordance with the new findings and criteria, the diagnostic accuracy of CEUS of breast tumors was evaluated. This study was approved by the ethics committee and institutional review board of Kobe City Nishi-Kobe Medical Center. Results The following CEUS findings were useful for the differential diagnosis: 5 contrast-enhancement patterns (shapes, margins, defects of stains, intensity, and homogeneity), 3 vascular patterns (tree-like appearance, surrounding marginal vessels, plunging or penetrating vessels), and range of contrast-enhanced areas. In the univariate analysis, all the 9 findings were significantly useful for the differential diagnosis. In the multivariate analysis, range of contrast-enhanced areas (odds ratio; 1.863, 95% confidence interval [CI] 1.356-2.560, p Conclusions The conventional CEUS findings and criteria of breast tumors were confirmed to be useful for differentiating between benign and malignant breast tumors. Additionally, range of contrast-enhanced areas was found to be helpful. Although the findings analyzed herein were characteristic CEUS features of benign and malignant breast tumors, respectively, additional diagnostic effects seem to be limited. Thus, it is important to select cases for which CEUS may be useful.

An Innovative Ultrasound Strain Elastographic Method for the Differential Diagnosis of Breast Tumors

In this monocentric perspective study examining 64 lesions (19 benign and 45 malignant), we tested an innovative ultrasound elastographic method for diagnosing breast tumors. A new region of control and a new index designating the strain ratio (SR) were used. A traditional ultrasound elastographic method was used as the control. The results indicated that the SR ratios of the benign and malignant groups were 0.25 ± 0.22 and 1.10 ± 1.53, respectively, and this difference was statistically significant. The area under the receiver operating characteristic curve of the SR ratio method was 0.95, the cutoff point was 0.37 and the sensitivity and specificity were 95.56% and 94.74%, respectively. The two receiver operating characteristic curves of the traditional method and the SR of the proposed method were significantly different, at a p value of 0.02. Compared with that of the traditional method, the SR obtained with the new method had a larger area under the receiver operating characteristic curve, sensitivity, specificity and objectivity.

The effect of canceroembryonic antigen on cytokine production by immunocompetent blood cells in patients with breast cancer

Aim. Investigation of the influence of canceroembryonic antigen (CEA) on the immune cells in patients with breast tumors.Materials and methods. Peripheral blood of 67 patients with invasive ductal carcinoma (n = 44), fibroadenoma (n = 12) and breast pre-cancer (n = 11). In the supernatants of the blood cells cytokine production induced by CEA was determined by ELISA.Results.It was found that CEA stimulated production of IL-6, IL-8, IL-10, IL-1β, IL-1Ra, TNFα, G-CSF, GM-CSF and the protein MCP-1 by blood immune cells in patients with fibroadenoma compared with groups of patients with invasive ductal carcinoma and precancerous lesions. Stimulation index of CEA on cytokine production by immunocompetent cells in patients in these groups was lower than in groups of patients with fibroadenoma due to initially high levels of spontaneous cytokine production.Results. In patients with fibroadenoma CEA was found to stimulate the production of IL-6, IL-8, IL-10, IL-1β, IL-1Ra, TNFa, G-CSF, GM-CSF and MCP-1 compared with groups of patients with invasive ductal carcinoma and precancerous conditions. Indexes of the influence of CEA on cytokine production by immunocompetent cells in these groups was lower than in the fibroadenoma due to initially high spontaneous production of cytokines.Conclusion. Evident spontaneous cytokine-producing function of immunocompetent blood cells was revealed in patients with invasive ductal carcinoma and precancerous conditions compared to patients with fibroadenoma. The differences between the indices of CEA influence on cytokine production in patients with malignant, benign and precancerous conditions can serve as a basis for the development of methods of differential diagnosis of breast tumors.

THE ROLE OF MAGNETIC RESONANCE MAMMOGRAPHY AND MAGNETIC RESONANCE SPECTROSCOPY IN THE DIFFERENTIAL DIAGNOSIS OF BREAST TUMORS

Objective: to investigate the possibility of enhancing the efficiency of complex magnetic resonance (MR) imaging, including MR mammography with dynamic contrast-enhanced MRI and MR spectroscopy for the differential diagnosis of breast tumors. Material and methods. The investigation enrolled 87 patients with breast tumors and 15 healthy volunteers. The mean age of the examinees was 55.7±3.5 years. MR mammography with dynamic contrast-enhanced MRI and subsequent morphological diagnosis verification were performed in 100% of cases. MR spectroscopy was carried out in 93.1% of the patients with breast tumors. Results. There were 189 breast tumors, including 154 (81.5%) and 35 (18.5%) hypervascular and avascular ones, respectively. MR mammography could reveal only 36% of the hypervascular masses. The sensitivity of contrast-enhanced MR mammography was 97.1%, and the specificity was variable. Its specificity was 96.9% for BIRADS 2 and BIRADS 5 and 45% and 55% for BIRADS 4 and BIRADS 3, respectively. MR spectroscopy in addition to MR mammography could increase the overall specificity of the technique up to 98.3%. Conclusion. Comprehensive MR examination that involves MR mammography with dynamic contrast-enhanced MRI and MR spectroscopy makes it possible to visualize breast tissues, to identify additional masses, to investigate not only the morphological, but also chemical structure of the identified tumors, which allows the most precise differential diagnosis between benign and malignant lesions.

Messenger RNA of the Histidine-Rich Glycoprotein in Breast Tumors.

The content of mRNA of the histidine-rich glycoprotein (HRG), a potential marker of malignant neoplasia, which can be used in differential diagnosis of breast tumors, was determined in 110 breast tumor biopsy samples. The presence of HRG mRNA did not depend on the cancer type, on the preoperative treatment or its absence, as well as on the tumor progression stage and the presence of metastases.

Quantitative differential diagnosis of breast tumors using shear wave velocity and different probe orientations ⁎

Abstract Objective The aim of this study was to evaluate the additional benefit of the difference of maximum and minimum shear wave velocity (SWV) values obtained at different probe orientations (D-value) for the differential diagnosis of breast tumors. Methods SWV (m/s) was measured in 123 breast tumors (92 benign, 31 malignant) in 76 female patients with the probe placed on the transverse, longitudinal, and 45° planes. The areas under the receiver operating characteristic (AUROC) curves were compared with respect to the maximum SWV, minimum SWV, D-value, maximum SWV combined with the D-value, and minimum SWV combined with the D-value. Results There was a significant difference among the values of the maximum SWV, minimum SWV, and D-value for the 3 planes (P < 0.001). The AUROC curves for the maximum SWV, minimum SWV, and D-values of the 3 planes were 0.751 (P = 0.379), 0.486 (P = 0.863), and 0.603 (P = 0.204), respectively. The cutoff value for the maximum SWV for differentiating benign tumors from malignant tumors was 2.51 m/s (sensitivity 67%, specificity 50%). The cutoff value for the minimum SWV was 1.61 m/s (sensitivity 53%, specificity 50%). Adding the D-value increased the AUROC curve for the maximum SWV from 0.571 to 0.733 and the minimum SWV from 0.486 to 0.504 (P = 0.964), respectively. Conclusion SWV differs in different planes of breast tumors. The D-value can provide a reference for the differential diagnosis of breast tumors.

Follicular dendritic cell sarcoma and invasive carcinoma of the breast

Abstract Follicular dendritic cell sarcoma (FDCS) is an extremely rare neoplasm derived from antigen-presenting cells. It behaves as an intermediate grade sarcoma and has high risk of local recurrence and may metastasize. We report the case of a 39-year-old woman who presented with a left mammary mass, and underwent a left mastectomy and axillary lymph node dissection. Histopathological studies were consistent with the diagnosis of FDCS and high grade breast carcinoma, both tumors involving the breast and the axillary lymph nodes. Such association has not been previously described and therefore, FDCS might be considered in the differential diagnosis of breast tumors. We also review the previous cases reported in the literature involving the breast.

Differential diagnosis of breast tumors on the basis of radiothermometric findings

The paper presents a method for the differential diagnosis of breast tumors in accordance with radiothermometric findings, which is based on the authors’ developed diagnostic technique (Patent No. 2532372 dated 5 September 2014). The radiometric method was used to examine 119 patients with malignant breast tumors, 53 patients with benign breast tumors, and 60 women without breast involvement. The data were obtained in 3 institutions: the Russian Medical Academy of Postgraduate Education, the N.N. Blokhin Russian Cancer Research Center, and Moscow Oncology Dispensary Five. A microwave radiothermometer was used to measure core and skin temperatures in 9 symmetrical points of each breast. Using the findings as a basis, the authors proposed quantitative criteria that ensured that breast tumors should be differentially diagnosed with high specificity.

Application of Real‐time Ultrasound Elastography for Differential Diagnosis of Breast Tumors

The purpose of this study was to explore the clinical value of real-time ultrasound elastography in differentiating malignant from benign breast tumors and to determine an optimal cutoff for the traced area ratio by receiver operator characteristic (ROC) analysis for differential diagnosis between malignant and benign breast masses. From October 2010 to June 2011, 102 patients with 192 breast tumors were enrolled. Conventional sonograms and real-time elastograms were obtained from the patients. The sensitivity, specificity, and accuracy rates for sonography and elastography were calculated, and an ROC analysis was performed. Tumors with an elasticity grade of 4 or higher were defined as malignant. The sensitivity, specificity, and accuracy of elastography were 92.65%, 73.39%, and 81.25%, respectively. These values were similar to those for conventional sonography. However, when the techniques were combined, the sensitivity, specificity, and accuracy increased to 88.23%, 95.97%, and 93.23%. A value of 1.65 was determined to be the traced area ratio cutoff by the ROC analysis and was used in this study for differential diagnosis. The sensitivity, specificity, and accuracy of this value were 76.47%, 96.77%, and 89.58%, respectively. Both conventional sonography and ultrasound elastography could be used to differentiate malignant and benign breast tumors. If these techniques were combined, the diagnostic values would improve. In addition, a traced area ratio of 1.65 could be used as a cutoff to differentiate benign and malignant breast tumors.

The Clinical Significance of Real-Time Contrast-Enhanced Ultrasonography in the Differential Diagnosis of Breast Tumor

The objective of this study was to investigate the clinical significance of real-time contrast-enhanced ultrasonography in the differential diagnosis of breast tumor. Fifty-seven breast tumor patients with 63 lesions were studied. Among the lesions, 34 are malignant and 29 are benign. A Philips iU-22 ultrasound scanner with L12-5 probe was used. Bolus SonoVue was injected via antecubital vein. Dynamic imaging was stored and analyzed with QLAB software. Parameters including initial time of perfusion (ITP), time to peak (TTP), peak intensity (PI), the enhancement pattern and the wash out pattern (WP) of contrast agent were observed. Results showed that about 85.3% of the malignant lesions showed heterogeneous enhancement and 79.3% of the benign ones showed homogeneous enhancement. The persistence time of the contrast agents was clearly longer inside the malignant lesion than inside the benign ones. Nevertheless, there were no significant differences in the value as ITP and TTP between the malignant and the benign lesions, while the PI value of the malignant lesions was significantly higher than the benign lesions. This study suggested that real-time contrast-enhanced ultrasonography is helpful to the differential diagnosis of breast tumors; however, the WP of the contrast agent inside the lesion also seems to be an important factor.

Diagnostic System for 3D Ultrasonography Based on Gabor Filter

800x600 Normal 0 0 2 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 With the development of the times, people's lifestyle and eating habits are changed a lot. Worldwide, breast cancer is the second most common type of cancer after lung cancer and the fifth most common cause of cancer death. Diagnostic ultrasound (US) of breast cancer is currently the major clinical detection method. It is recognized as a safe, effective, and highly flexible imaging modality capable of providing clinically relevant information about most parts of the body in a rapid and cost-effective fashion. However, ultrasound imaging usually contains a large number of noises and speckles. That will impact greatly on diagnos is by physicians. Therefore , we proposed a method to enhance the computer-aided diagnosis (CAD) of the breast cancer tumors and to reduce detection time and error rate. Experimental investigations demonstrated that the texture variance of 3D ultrasound were effective and useful for differential diagnosis of breast tumors. Texture extraction with proposed method can f ind malignant more accurate than auto-correlation.

P21.03: Advantage of three‐dimensional ultrasound in the differential diagnosis of benign and malignant breast tumors

To explore the advantage of three-dimensional (3D) ultrasound in the differential diagnosis of benign and malignant breast tumors. 2D and the corresponding 3D ultrasound images of 120 breast solid lesions (69 malignant, 51 benign) in the 109 female patients were independently analyzed by five ultrasound doctors. Characteristics of seven 2D and ten 3D ultrasound were investigated. The advantage of 3D ultrasound in comparison with 2D ultrasound was analyzed using receiver operating characteristics (ROC) curve. All of the investigated ultrasound criteria were highly significant in characterizing breast lesions (P < 0.001). The detection rate of diagnostic characteristics of malignant lesions in 3D ultrasound was higher than those in 2D ultrasound. The sensitivity and specificity of the retraction phenomenon in the coronal plane of the 3D ultrasound to indicate malignant lesions were 56.8% and 93.7% respectively, and those of the irregular or spiculate margin contour to indicate malignant lesions were 92.2% and 51.8% respectively. The sensitivity and specificity of the complete interface echo to indicate benign lesions were 77.6% and 90.4% respectively. The area under ROC curve for 3D and 2D ultrasound were 0.9483 and 0.9086 respectively P < 0.05. 3D ultrasound can provide more evaluation characterization of the image. 3D ultrasound is more reliable than conventional 2D ultrasound in differential diagnosis of breast tumors. The diagnostic value of 3D ultrasound was better than 2D ultrasound.

Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE‐MRI

Analyzing spatiotemporal enhancement patterns is an important task for the differential diagnosis of breast tumors in dynamic contrast-enhanced MRI (DCE-MRI), and yet remains challenging because of complexities in analyzing the time-series of three-dimensional image data. The authors propose a novel approach to breast MRI computer-aided diagnosis (CAD) using a multilevel analysis of spatiotemporal association features for tumor enhancement patterns in DCE-MRI. A database of 171 cases consisting of 111 malignant and 60 benign tumors was used. Time-series contrast-enhanced MR images were obtained from two different types of MR scanners and protocols. The images were first registered for motion compensation, and then tumor regions were segmented using a fuzzy c-means clustering-based method. Spatiotemporal associations of tumor enhancement patterns were analyzed at three levels: Mapping of pixelwise kinetic features within a tumor, extraction of spatial association features from kinetic feature maps, and extraction of kinetic association features at the spatial feature level. A total of 84 initial features were extracted. Predictable values of these features were evaluated with an area under the ROC curve, and were compared between the spatiotemporal association features and a subset of simple form features which do not reflect spatiotemporal association. Several optimized feature sets were identified among the spatiotemporal association feature group or among the simple feature group based on a feature ranking criterion using a support vector machine based recursive feature elimination algorithm. A least-squares support vector machine (LS-SVM) classifier was used for tumor differentiation and the performances were evaluated using a leave-one-out testing. Predictable values of the extracted single features ranged in 0.52-0.75. By applying multilevel analysis strategy, the spatiotemporal association features became more informative in predicting tumor malignancy, which was shown by a statistical testing in ten spatiotemporal association features. By using a LS-SVM classifier with the optimized second and third level feature set, the CAD scheme showed Az of 0.88 in classification of malignant and benign tumors. When this performance was compared to the same LS-SVM classifier with simple form features which do not reflect spatiotemporal association, there was a statistically significant difference (0.88 vs 0.79, p <0.05), suggesting that the multilevel analysis strategy yields a significant performance improvement. The results suggest that the multilevel analysis strategy characterizes the complex tumor enhancement patterns effectively with the spatiotemporal association features, which in turn leads to an improved tumor differentiation. The proposed CAD scheme has a potential for improving diagnostic performance in breast DCE-MRI.

Beckwith-Wiedemann Syndrome and Juvenile Fibroadenoma

Beckwith-Wiedemann syndrome (BWS) is a complex overgrowth disorder usually recognized at birth. Children diagnosed with BWS, particularly those with hemihypertrophy, experience an increased risk of developing benign and malignant tumors. This case report presents a 12-year-old girl with BWS and hemihypertrophy who rapidly developed enlarging, asymmetric tumors of bilateral breasts. Few cases of patients with BWS and benign breast tumors exist in the literature. The differential diagnosis of breast tumors in the adolescent female is described. The treatment plan and reconstruction options particular to the developing young female are also discussed.

Apparent Diffusion Coefficients of Breast Tumors: Clinical Application

To evaluate the usefulness of apparent diffusion coefficient (ADC) for the differential diagnosis of breast tumors and to determine the relation between ADC and tumor cellularity. One hundred and thirty-six female patients (age range, 17-83 years; average age, 51.7 years) with 140 histologically proven breast tumors underwent diffusion-weighted magnetic resonance (MR) imaging (DWI) using the spin-echo echo-planar technique, and the ADCs of the tumors were calculated using 3 different b values, 0, 500, and 1000 s/mm(2). The diagnoses consisted of fibroadenoma (FA, n=16), invasive ductal carcinoma, not otherwise specified (IDC, n=117), medullary carcinoma (ME, n=3) and mucinous carcinoma (MU, n=4). Tumor cellularity was calculated from surgical specimens. The ADCs of breast tumors and cellularity were compared between different histological types by analysis of variance and Scheffe's post hoc test. The correlation between tumor cellularity and ADC was analyzed by Pearson correlation test. Significant differences were observed in ADCs between FA and all types of cancers (P<0.05) and between MU and other types of cancers (P<0.01) and in cellularity between FA and cancers except MU (P<0.01) and between MU and other types of cancers (P<0.01). There was an inverse correlation between ADC and tumor cellularity (P<0.01, r(2)=0.451). The ADC may potentially help in differentiating benign and malignant breast tumors. Tumor ADC correlates inversely with tumor cellularity.