The role of breast MRI in newly diagnosed breast cancer: An evidence-based review

Thompson, Jessica; Wright, G. Paul

doi:10.1016/j.amjsurg.2020.12.018

Cited by 20 publications

(14 citation statements)

References 33 publications

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“…DCE-MRI [ 16 ] is one of the main imaging methods for detecting breast cancer at present. Breast lesions are mainly diagnosed based on their morphologic and dynamic characteristics on dynamic contrast-enhanced (DCE) MRI.…”

Section: Discussionmentioning

confidence: 99%

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer

Gan

Jiang³

et al. 2021

Computational and Mathematical Methods in Medicine

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Purpose. To investigate whether quantitative radiomics features extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) could be used to differentiate triple-negative breast cancer (TNBC) and nontriple-negative breast cancer (non-TNBC). Materials and Methods. This retrospective study included DCE-MRI images of 81 breast cancer patients (44 TNBC and 37 non-TNBC) from August 2018 to October 2019. The MR scans were achieved at a 1.5 T MR scanner. For each patient, the largest tumor mass was selected to analyze. Three-dimensional (3D) images of the regions of interest (ROIs) were automatically segmented on the third DCE phase by a deep learning segmentation model; then, the ROIs were checked and revised by 2 radiologists. DCE-MRI radiomics features were extracted from the 3D tumor volume. The patients were randomly divided into training ( N = 57 ) and test ( N = 24 ) cohorts. The machine learning classifier was built in the training dataset, and 5-fold cross-validation was performed on the training cohort to train and validate. The data of the test cohort were used to investigate the predictive power of the radiomics model in predicting TNBC and non-TNBC. The performance of the model was evaluated by the area under receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity. Results. The radiomics model based on 15 features got the best performance. The AUC achieved 0.741 for the cross-validation, and 0.867 for the independent testing cohort. Conclusion. The radiomics model based on automatic image segmentation of DCE-MRI can be used to distinguish TNBC and non-TNBC.

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Section: Discussionmentioning

confidence: 99%

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer

Gan

Jiang³

et al. 2021

Computational and Mathematical Methods in Medicine

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“…48 Overall, breast MRI is quite useful in patients in whom the disease extent is uncertain from physical exam, mammography/ultrasound and several breast surgeons rely upon this imaging method for tailored surgical plan. 49,50 The best established indications for preoperative MRI are for patients with dense breasts, those with invasive lobular carcinoma, or for those younger than 50 years of age.…”

Section: Diagnostic Breast Mri For Preoperative Assessment Of Breast ...mentioning

confidence: 99%

Section: Indications For Breast Mrimentioning

confidence: 99%

What’s Hot in Breast MRI

Scaranelo

2021

Can Assoc Radiol J

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Several articles in the literature have demonstrated a promising role for breast MRI techniques that are more economic in total exam time than others when used as supplement to mammography for detection and diagnosis of breast cancer. There are many technical factors that must be considered in the shortened breast MRI protocols to cut down time of standard ones, including using optimal fat suppression, gadolinium-chelates intravascular contrast administrations for dynamic imaging with post processing subtractions and maximum intensity projections (MIP) high spatial and temporal resolution among others. Multiparametric breast MRI that includes both gadolinium-dependent, i.e., dynamic contrast-enhanced (DCE-MRI) and gadolinium-free techniques, i.e., diffusion-weighted/diffusion-tensor magnetic resonance imaging (DWI/DTI) are shown by several investigators that can provide extremely high sensitivity and specificity for detection of breast cancer. This article provides an overview of the proven indications for breast MRI including breast cancer screening for higher than average risk, determining chemotherapy induced tumor response, detecting residual tumor after incomplete surgical excision, detecting occult cancer in patients presenting with axillary node metastasis, detecting residual tumor after incomplete breast cancer surgical excision, detecting cancer when results of conventional imaging are equivocal, as well patients suspicious of having breast implant rupture. Despite having the highest sensitivity for breast cancer detection, there are pitfalls, however, secondary to false positive and false negative contrast enhancement and contrast-free MRI techniques. Awareness of the strengths and limitations of different approaches to obtain state of the art MR images of the breast will facilitate the work-up of patients with suspicious breast lesions.

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“…Previously occult tumor of the contralateral breast (Fig 3) is found in 3-4% of cases. Also, in about 5.5% of cases, false-positive findings result in a more extensive surgical procedure than necessary (12,13).…”

Section: Preoperative Evaluationmentioning

confidence: 99%

Magnetic resonance imaging of the breast– where are we in 2021?

et al. 2021

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Magnetic resonance imaging (MRI) is a sensitive and safe radiological method for breast and axillar lymph node imaging. MRI is widely used for diagnostics and follow-up of breast cancer candidates for neoadjuvant chemotherapy. MRI is used to assess tumor response to chemotherapy in these patients and help plan the type of surgical procedure needed after the therapy. Also, preoperative MRI changes the surgical approach in 11-16% of the cases and depicts the occult tumor in the contralateral breast in 3-4% of patients whose primary treatment is surgery.Several studies in recent years, some on more than a thousand patients, have shown usefulness of breast MRI for planning surgical approaches reducing the number of patients with positive resection margins, thus reducing the number of patients who need reoperation.In future, we should aim to include MRI of the breast as a diagnostic tool in more, if not all, patients diagnosed with breast cancer.

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The role of breast MRI in newly diagnosed breast cancer: An evidence-based review

Cited by 20 publications

References 33 publications

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer

Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer

What’s Hot in Breast MRI

Magnetic resonance imaging of the breast– where are we in 2021?

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