Contrast-Enhanced MR Angiography of the Breast: Evaluation of Ipsilateral Increased Vascularity and Adjacent Vessel Sign in the Characterization of Breast Lesions

Kul, Sibel; Cansu, Ayşegül; Alhan, Etem; Dinç, Hasan; Reis, Abdulkadir; Çan, Gamze

doi:10.2214/ajr.10.4368

Cited by 39 publications

(46 citation statements)

References 12 publications

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“…DCE-MRI has been a sensitive method for the lesion detection, although it yields low to moderate specificity for the discrimination of malignant vs. benign lesions (11)(12)(13)(14). In recent years, diffusion-weighted imaging (DWI), albeit not routinely used as a part of breast MRI protocol, with the implementation of ultrafast MRI sequences contributes to the evaluation of breast lesions (15)(16)(17).…”

mentioning

confidence: 99%

Value of Apparent Diffusion Coefficient Values in Differentiating Malignant and Benign Breast Lesions

T¹,

G²,

Sezgin³

et al. 2016

Balkan Med J

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Background: Magnetic resonance imaging (MRI) has become a diagnostic and problem solving method for the breast examinations in addition to conventional breast examination methods. Diffusion-weighted imaging (DWI) adds valuable information to conventional MRI. Aims: Our aim was to show the impact of apparent diffusion coefficient (ADC) values acquired with DWI to differentiate benign and malignant breast lesions. Study Design: Diagnostic accuracy study. Methods: Forty-six women with 58 breast masses (35 malignant, 23 benign) were examined on a 1.5 T clinical MRI scanner. The morphologic characteristics of the lesions on conventional MRI sequences and contrast uptake pattern were assessed. ADC values of both lesions and normal breast parenchyma were measured. The ADC values obtained were statistically compared with the histopathologic results using Paired Samples t-Test. Results: Multiple lesions were detected in 12 (26%) of the patients, while only one lesion was detected in 34 (74%). Overall, 35 lesions out of 58 were histopathologically proven to be malignant. In the dynamic contrast-enhanced series, 5 of the malignant lesions were type 1, while 8 benign lesions revealed either type 2 or 3 time signal intensity curves (85% sensitivity, 56% spesifity Breast cancer is the most common cancer in females worldwide and the second main cause of cancer death following lung cancer. Approximately 12% of women will experience breast cancer during their lifetime (1). Therefore, breast cancer maintains its importance as a serious public health issue. The major risk factors comprise family history, genetic predisposition caused by the presence of a BRCA1 or BRCA2 gene mutation, and previously acquired breast lesions including fibrovascular papilloma, atypical ductal and lobular hyperplasia, and ductal and lobular carcinoma in situ (2,3).Imaging is crucial to diagnose and evaluate the stage and extent of breast cancer. Therefore, three types of radiologic techniques, including mammography, ultrasonography (US) and breast magnetic resonance imaging (MRI), are implemented. As a basic breast cancer scanning method, mammography is highly available, with a short scanning time.

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mentioning

confidence: 99%

Value of Apparent Diffusion Coefficient Values in Differentiating Malignant and Benign Breast Lesions

T¹,

G²,

Sezgin³

et al. 2016

Balkan Med J

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“…Breast MRI-as a different diagnostic tool from mammography and ultrasonography (US)-can show tissue perfusion characteristics of the masses on breast parenchyma, as well as morphologic features, such as the contour, size, and shape of the breast lesions. Although conventional MRI sequences have an important role in the differential diagnosis of breast masses, this technology has a low specificity, thus requires the support of additional imaging techniques (2)(3)(4). Diffusion-weighted MRI (DW-MRI) is an active field of research in MRI.…”

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confidence: 99%

The role of apparent diffusion coefficient values in the differential diagnosis of breast lesions in diffusion-weighted MRI

Şahin

Arıbal

2013

Diagn Interv Radiol

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ORIGINAL ARTICLE PURPOSE We aimed to determine the apparent diffusion coefficients (ADCs) of focal breast lesions on diffusion-weighted magnetic resonance imaging (DW-MRI) and to evaluate whether ADC measurement can be used to characterize lesions as benign or malignant. MATERIALS AND METHODSFifty-one patients between the ages of 18-79 years (mean age, 48.5 years) with 51 histopathologically verified breast lesions were included in this study. The patients were examined with a 1.5 Tesla system using a bilateral phased-array breast coil. Spin-echo echo-planar imaging was used. The images were obtained with b values of 50, 400, and 800 s/ mm 2 . The ADC values were calculated for breast lesions and for normal fibroglandular tissue. Receiver operating characteristics analyses were performed to find the threshold ADC values. /s (sensitivity, 88.5%; specificity, 100%). With the ADC ratio (lesion to normal fibroglandular tissue), the threshold was 0.8 (sensitivity, 91.4%; specificity, 100%). The ADC value obtained from malignant lesions was statistically different from that of benign lesions (P < 0.001). CONCLUSION Diffusion-weighted imaging can be used to differentiate malignant and benign breast lesions. RESULTS Breast cancer is one of the leading causes of death from cancer in women (1). The use of magnetic resonance imaging (MRI) has a relatively short history for the diagnosis of breast lesions. Breast MRI-as a different diagnostic tool from mammography and ultrasonography (US)-can show tissue perfusion characteristics of the masses on breast parenchyma, as well as morphologic features, such as the contour, size, and shape of the breast lesions. Although conventional MRI sequences have an important role in the differential diagnosis of breast masses, this technology has a low specificity, thus requires the support of additional imaging techniques (2-4). Diffusion-weighted MRI (DW-MRI) is an active field of research in MRI. In addition to diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) maps can be created, and quantitative measurements can be performed. Recent studies have shown a high accuracy rate in the differentiation between malignant and benign breast lesions using DW-MRI and ADC measurements (5-7). The measured ADC values were significantly lower in malignant lesions compared with benign lesions. Malignant breast tumors show a high amount of cellular structure (due to the intensity of the tumor tissue), resulting in low ADC values for these lesions (5-7).The aim of this study was to evaluate the value of DWI and ADC values in the differential diagnosis of benign and malignant breast lesions. Materials and methods Patient selectionPatients with a suspicious mass diagnosed with mammography or US that were considered for a biopsy procedure were included in this prospective study.The local ethics committee approved the study, and informed written consent was obtained from each patient.Seventy patients who had a suspicious lesion on mammography or US according to Breast Imaging-Reporting a...

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“…This method was used by a recent study [10] to assess the variation in whole-breast vascular maps on DCE-MRI after anthracycline-and taxane-based neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC), showing a correlation between changes in breast vascular maps and pathologic tumor response. However, the authors highlight some limitations of the Sardanelli score system, as also recognized by other authors [14], such as difficulties in counting branching vessels, and time-consuming procedure to define if a vessel should or should not be counted. The development of a highly reproducible method to extract vascular maps and to quantify vessels within the breast has been therefore encouraged [9,10].…”

Section: Description Of Purposementioning

confidence: 85%

A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker

Vignati

Giannini

Carbonaro

et al. 2014

Computer Methods and Programs in Biomedicine

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Contrast-Enhanced MR Angiography of the Breast: Evaluation of Ipsilateral Increased Vascularity and Adjacent Vessel Sign in the Characterization of Breast Lesions

Cited by 39 publications

References 12 publications

Value of Apparent Diffusion Coefficient Values in Differentiating Malignant and Benign Breast Lesions

Value of Apparent Diffusion Coefficient Values in Differentiating Malignant and Benign Breast Lesions

The role of apparent diffusion coefficient values in the differential diagnosis of breast lesions in diffusion-weighted MRI

A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker

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