Diffusion-weighted imaging versus dynamic contrast-enhanced MRI: a new horizon for characterisation of suspicious breast lesions

Ameen, Nadia F. El; Gawad, Enas Ahmed Abdel; Ghany, Hosny S. Abdel

doi:10.1016/j.crad.2020.08.031

Cited by 7 publications

(6 citation statements)

References 12 publications

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“…The assessment of eigenvalues (λ1, λ2, λ3) may permit the three-dimensional description of diffusion, estimating the anisotropic water diffusion coefficient in a tissue [9].…”

Section: Discussionmentioning

confidence: 99%

“…• STIR (TE = 30 ms, TR = 3000 ms, TI = 150 ms) in the transverse and sagittal plane; slice thickness: 4 mm; spacing: 1 mm; image matrix: 320 × 314. [9]…”

Section: Conventional Mrimentioning

confidence: 99%

“…DTI was done in the axial plane using the procedure of medium three-dimensional (3D) DTI with the following parameters: 48 sections without a gap, TR 3802 ms, TE 106 ms, four excitations, 34 mm FOV, matrix 136_134, collection length 9 min 30 s, 3-mm section thickness, suppression of fat: recovery of spectral adiabatic inversion in 40 directions applied [9].…”

Section: Dtimentioning

confidence: 99%

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Diffusion tensor magnetic resonance imaging in differentiation of breast lesions

Amin

Elsharawy

Mlees

et al. 2023

Egypt J Radiol Nucl Med

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Background Diffusion tensor imaging (DTI) is a novel approach which uses extra gradients to quantify diffusion in several directions (at least six). The purpose of this research was to determine the role of diffusion tensor magnetic resonance imaging in breast lesion differentiation. Results Apparent diffusion coefficient (ADC) values were significantly lower in malignant than benign lesions, with a cut-off value of 1.21 × 10−3 mm2/s, this gives a sensitivity of 88.46%, specificity 87.50% and accuracy 86.7%. Values of fractional anisotropy (FA) were higher significantly in malignant compared to benign lesions with a 0.15 cut-off value, has a 95.83% sensitivity, 96.15% specificity, and 95.6%, accuracy. Values of RA were significantly higher in malignant (0.180 ± 0.068) compared to benign lesions, with 0.13 cut-off value. Sensitivity, specificity, and accuracy were, respectively, 91.69%, 92.31%, and 90.2%. Values of λ1 were significantly lower in malignant (1.4 ± 0.453 × 10−3 mm2/s) than in benign (2.19 ± 0.659 × 10−3 mm2/s) lesions with a cut-off value of 1.71 × 10−3 mm2/s. Sensitivity and specificity were, respectively, 95.83 and 96.15%. The combined evaluation by (dynamic contrast enhancement) Sensitivity improved to 100% with DCE and DTI readings, while specificity remained at 95.6%. Conclusions DTI breast imaging is a noninvasive procedure which demonstrated a high potential utility for cancer detection and serving as a standalone technique or in conjunction with DCE-MRI, the discriminating values of FA, λ1 and λ1–λ3 were high. Their measurements were strongly associated with identification breast malignancy and combined evaluation by DTI parameters and DCE-MRI DTI enhanced the sensitivity, lowered the rate of false-negatives, and completely improved the accuracy of breast lesions differential diagnosis.

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“…The assessment of eigenvalues (λ1, λ2, λ3) may permit the three-dimensional description of diffusion, estimating the anisotropic water diffusion coefficient in a tissue [9].…”

Section: Discussionmentioning

confidence: 99%

“…• STIR (TE = 30 ms, TR = 3000 ms, TI = 150 ms) in the transverse and sagittal plane; slice thickness: 4 mm; spacing: 1 mm; image matrix: 320 × 314. [9]…”

Section: Conventional Mrimentioning

confidence: 99%

Section: Dtimentioning

confidence: 99%

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Diffusion tensor magnetic resonance imaging in differentiation of breast lesions

Amin

Elsharawy

Mlees

et al. 2023

Egypt J Radiol Nucl Med

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“…In the subgroup analysis, the pooled specificity of change in the ADC subgroup was higher than that in the pretreatment ADC subgroup [ 65 ]. The correlation of ADC and FA (fractional anisotropy) was also examined by others, and the results indicated that the ADC and FA values of malignant lesions were statistically lower than those of benign lesions, and the combined DTI and FT (fiber tractography) sensitivity, specificity, and accuracy were comparable to DCE-MRI (96%, 90%, and 94%, respectively) [ 66 , 67 ].…”

Section: Dwi In Treatment Evaluation Of Breast Cancermentioning

confidence: 99%

Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives

et al. 2022

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Breast cancer is the most prevalent cancer among women and the leading cause of death. Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced magnetic resonance imaging (MRI) procedures that are widely used in the diagnostic and treatment evaluation of breast cancer. This review article describes the characteristics of new MRI methods and reviews recent findings on breast cancer diagnosis. This review study was performed on the literature sourced from scientific citation websites such as Google Scholar, PubMed, and Web of Science until July 2021. All relevant works published on the mentioned scientific citation websites were investigated. Because of the propensity of malignancies to limit diffusion, DWI can improve MRI diagnostic specificity. Diffusion tensor imaging gives additional information about diffusion directionality and anisotropy over traditional DWI. Recent findings showed that DWI and DTI and their characteristics may facilitate earlier and more accurate diagnosis, followed by better treatment. Overall, with the development of instruments and novel MRI modalities, it may be possible to diagnose breast cancer more effectively in the early stages.

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“…Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been widely used for screening for breast cancer in women at increased risk, monitoring neoadjuvant chemotherapy response, and staging of known breast cancer, [4][5][6][7][8] and its clinical advantages include its well-accepted diagnostic accuracy and excellent soft-tissue contrast in detecting breast lesions. To date and to the best of our knowledge, multiple meta-analyses have been performed to investigate the value of DCE-MRI and diffusion weighted imaging (DWI) in detecting breast lesions and evaluating the treatment response after neoadjuvant chemotherapy.…”

mentioning

confidence: 99%

Imaging Features Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging to Differentiate Malignant From Benign Breast Lesions: A Systematic Review and Meta-Analysis

Zhang

Wang

Liu

2022

J Comput Assist Tomogr

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The aim of this study is to explore the accuracy of individual imaging features derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating malignant from benign breast lesions. Materials and Methods:The PubMed, Web of Science, Embase, and the Cochrane Library databases were searched up to January 2021 to identify original studies that investigated the accuracy of individual DCE-MRI features in differentiating malignant from benign breast lesions. Pooled sensitivity, specificity, and area under the curve were calculated by STATA software based on the data extracted from included studies. Moreover, quality assessment, subgroup analysis, and publication bias evaluation were performed.Results: Twenty-nine studies comprising 2976 patients and 3365 suspicious breast lesions were included. Malignant breast lesions tended to present irregular shapes (83.59%), noncircumscribed margins (85.50%), mass enhancement (52.31%), heterogeneous internal enhancement (71.72%), and type II or III time intensity curve (TIC) patterns (91.17%), showing significant differences compared with benign breast lesions ( P < 0.05). For differentiating malignant from benign breast lesions, the area under the curve values of irregular shape, noncircumscribed margin, mass enhancement, heterogeneous internal enhancement, and type II or III TIC patterns were 0.

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Diffusion-weighted imaging versus dynamic contrast-enhanced MRI: a new horizon for characterisation of suspicious breast lesions

Cited by 7 publications

References 12 publications

Diffusion tensor magnetic resonance imaging in differentiation of breast lesions

Diffusion tensor magnetic resonance imaging in differentiation of breast lesions

Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives

Imaging Features Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging to Differentiate Malignant From Benign Breast Lesions: A Systematic Review and Meta-Analysis

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