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Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review
Deep learning analysis of radiological images has the potential to improve diagnostic accuracy of breast cancer, ultimately leading to better patient...
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Defining features of hereditary lobular breast cancer due to CDH1 with magnetic resonance imaging and tumor characteristics
Women with germline pathogenic variants in CDH1 , which encodes E-cadherin protein, are at increased lifetime risk of invasive lobular carcinoma...
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Breast density is strongly associated with multiparametric magnetic resonance imaging biomarkers and pro-tumorigenic proteins in situ
BackgroundHigh mammographic density is an independent risk factor for breast cancer by poorly understood molecular mechanisms. Women with dense...
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Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study
BackgroundSeveral studies have indicated that magnetic resonance imaging radiomics can predict survival in patients with breast cancer, but the...
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The Use of Highly Selective Radio-Frequency Pulses for Magnetic Resonance Imaging of the Mammary Glands
Responses of fast spin echo pulse sequences with the parameters used for magnetic resonance imaging of the mammary glands were modeled numerically....
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Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer
BackgroundBreast Cancer (BC) is a highly heterogeneous and complex disease. Personalized treatment options require the integration of multi-omic data...
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Clinical implementation of magnetic resonance imaging simulation for radiation oncology planning: 5 year experience
PurposeIntegrating magnetic resonance (MR) into radiotherapy planning has several advantages. This report details the clinical implementation of an...
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Lobular Carcinoma of the Breast: Spectrum of Imaging Findings and New Emerging Technologies on the Horizon
Invasive lobular carcinoma (ILC) is the second most common histologic form of breast cancer, representing 5% to 15% of all invasive breast cancers....
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Magnetic resonance-based imaging biopsy with signatures including topological Betti number features for prediction of primary brain metastatic sites
This study incorporated topology Betti number (BN) features into the prediction of primary sites of brain metastases and the construction of magnetic...
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Magnetic resonance imaging-guided intracranial resection of glioblastoma tumors in patient-derived orthotopic xenografts leads to clinically relevant tumor recurrence
BackgroundPreclinical in vivo cancer models are essential tools for investigating tumor progression and response to treatment prior to clinical...
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Induced Current Electro-Thermal Imaging for Breast Tumor Detection: A Numerical and Experimental Study
This study proposes using magnetically induced currents in medical infrared imaging to increase the temperature contrast due to the electrical...
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Potential of Magnetic Resonance (MR) Methods in Clinical Cancer Research
Magnetic resonance imaging (MRI) is often used as a versatile imaging modality for diagnosis of various diseases in clinical medicine. The technique...
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Focal white matter microstructural alteration after anthracycline-based systemic treatment in long-term breast cancer survivors: a structural magnetic resonance imaging study
Understanding the neural correlates of cognitive problems in patients with breast cancer (BC) after systemic treatment have been a topic of...
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The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
Ductal carcinoma in situ (DCIS) is a putative precursor of invasive breast cancer and MRI is considered the most sensitive imaging technique for its...
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Magnetic Resonance Imaging for Drug Development
Given the merit of high-resolution cross-sectional imaging, magnetic resonance imaging (MRI) has been utilized in many preclinical and clinical...
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Magnetic resonance imaging and ultrasound for prediction of residual tumor size in early breast cancer within the ADAPT subtrials
BackgroundPrediction of histological tumor size by post-neoadjuvant therapy (NAT) ultrasound and magnetic resonance imaging (MRI) was evaluated in...
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Imaging Characteristics of Meningiomas
Contemporary neuroimaging of meningiomas has largely relied on computed tomography, and more recently magnetic resonance imaging. While these...
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Magnetic Resonance Electrical Properties Tomography (MREPT)
This chapter explains the magnetic resonance electrical impedance tomography (MREPT) technique used to image electrical properties at high...
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Preoperative magnetic resonance imaging use and oncologic outcomes in premenopausal breast cancer patients
Breast magnetic resonance imaging (MRI) delineates disease extent sensitively in newly diagnosed breast cancer patients, but improved cancer outcomes...
