Clinical Breast Magnetic Resonance Imaging: Technique, Indications, and Future Applications

Greenwood, Heather; Freimanis, Rita I.; Carpentier, Bianca; Joe, Bonnie N.

doi:10.1053/j.sult.2017.07.002

Cited by 16 publications

(9 citation statements)

References 68 publications

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“…There are several methods that show high sensitivity for the detection of breast lesions, e. g. combined use of ultrasound (US) and mammography can reach sensitivity ranging from 92.6 % to 94.4 % in different studies, but with limited specificity in the differentiation of malignant from benign lesions of up to 67.9 % [1,2]. A similar tendency regarding contrast-enhanced MRI for breast lesions has been published, showing high sensitivity (94 %-100 %), especially for the assessment of tumor vascularity, but poor specificity regarding the differentiation of lesions (37-86 %) [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 85%

US-Elastography for Breast Lesion Characterization: Prospective Comparison of US BIRADS, Strain Elastography and Shear wave Elastography

et al. 2020

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Purpose To evaluate the diagnostic performance of strain elastography (SE) and 2 D shear wave elastography (SWE) and SE/SWE combination in comparison with conventional multiparametric ultrasound (US) with respect to improving BI-RADS classification results and differentiating benign and malignant breast lesions using a qualitative and quantitative assessment. Materials and Methods In this prospective study, 130 histologically proven breast masses were evaluated with baseline US, color Doppler ultrasound (CDUS), SE and SWE (Toshiba Aplio 500 with a 7–15 MHz wide-band linear transducer). Each lesion was classified according to the BIRADS lexicon by evaluating the size, the B-mode and color Doppler features, the SE qualitative (point color scale) and SE semi-quantitative (strain ratio) methods, and quantitative SWE. Histological results were compared with BIRADS, strain ratio (SR) and shear wave elastography (SWE) all performed by one investigator blinded to the clinical examination and mammographic results at the time of the US examination. The area under the ROC curve (AUC) was calculated to evaluate the diagnostic performance of B-mode US, SE, SWE, and their combination. Results Histological examination revealed 47 benign and 83 malignant breast lesions. The accuracy of SR was statistically significantly higher than SWE (sensitivity, specificity and AUC were 89.2 %, 76.6 % and 0.83 for SR and 72.3 %, 66.0 % and 0.69 for SWE, respectively, p = 0.003) but not higher than B-mode US (B-mode US sensitivity, specificity and AUC were 85.5 %, 78.8 %, 0.821, respectively, p = 1.000). Conclusion Our experience suggests that conventional US in combination with both SE and SWE is a valid tool that can be useful in the clinical setting, can improve BIRADS category assessment and may help in the differentiation of benign from malignant breast lesions, with SE having higher accuracy than SWE.

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Section: Introductionmentioning

confidence: 85%

US-Elastography for Breast Lesion Characterization: Prospective Comparison of US BIRADS, Strain Elastography and Shear wave Elastography

et al. 2020

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“…The identification of IM adenopathy is important, as this finding is associated with a poorer prognosis and may warrant more aggressive treatment . While MRI is increasingly performed to assess the extent of disease following a new diagnosis of breast cancer, few studies have evaluated the performance of MRI for the detection of IM metastasis, let alone compared MRI with PET‐based imaging in this context. In 1999, Kinoshita et al reported a sensitivity of 93.3% and a specificity of 89.3% among 43 MRI‐detected IM nodes in 16 patients .…”

Section: Locoregional Stagingmentioning

confidence: 99%

PET/MRI in Breast Cancer

Pujara

Kim

Axelrod

et al. 2018

Magnetic Resonance Imaging

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“…In this field, MRI is indicated for screening because it is able to detect breast cancer when it is still occult clinically, mammographically, and ultrasonographically. In addition, breast MRI is used to monitor the response to neoadjuvant treatments and to evaluate the integrity of the implants [65]. The DCE and DWI are additional MRI techniques with a strong potential for reducing false-positive diagnosis and unnecessary biopsies.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models

Fiordelisi

Auletta

Meomartino

et al. 2019

Contrast Media & Molecular Imaging

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Precision and personalized medicine is gaining importance in modern clinical medicine, as it aims to improve diagnostic precision and to reduce consequent therapeutic failures. In this regard, prior to use in human trials, animal models can help evaluate novel imaging approaches and therapeutic strategies and can help discover new biomarkers. Breast cancer is the most common malignancy in women worldwide, accounting for 25% of cases of all cancers and is responsible for approximately 500,000 deaths per year. Thus, it is important to identify accurate biomarkers for precise stratification of affected patients and for early detection of responsiveness to the selected therapeutic protocol. This review aims to summarize the latest advancements in preclinical molecular imaging in breast cancer mouse models. Positron emission tomography (PET) imaging remains one of the most common preclinical techniques used to evaluate biomarker expression in vivo, whereas magnetic resonance imaging (MRI), particularly diffusion-weighted (DW) sequences, has been demonstrated as capable of distinguishing responders from nonresponders for both conventional and innovative chemo- and immune-therapies with high sensitivity and in a noninvasive manner. The ability to customize therapies is desirable, as this will enable early detection of diseases and tailoring of treatments to individual patient profiles. Animal models remain irreplaceable in the effort to understand the molecular mechanisms and patterns of oncologic diseases.

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Clinical Breast Magnetic Resonance Imaging: Technique, Indications, and Future Applications

Cited by 16 publications

References 68 publications

US-Elastography for Breast Lesion Characterization: Prospective Comparison of US BIRADS, Strain Elastography and Shear wave Elastography

US-Elastography for Breast Lesion Characterization: Prospective Comparison of US BIRADS, Strain Elastography and Shear wave Elastography

PET/MRI in Breast Cancer

Preclinical Molecular Imaging for Precision Medicine in Breast Cancer Mouse Models

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