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      A dual‐tuned multichannel bilateral RF coil for 1 H/ 23 Na breast MRI at 7 T

      1 , 2 , 1 , 2 , 1 , 2 , 1 , 2
      Magnetic Resonance in Medicine
      Wiley

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          Abstract

          Sodium MRI has shown promise for monitoring neoadjuvant chemotherapy (NACT) response in breast cancer. The purpose of this work was to build a dual tuned bilateral 1 H/ 23 Na breast coil for 7T MRI that provides sufficient SNR to enable sodium breast imaging in less than 10 min. The 1 H/ 23 Na coil consists of two shielded unilateral units, one for each breast. Each unit is composed by three nested layers: (1) a three-loop solenoid for sodium excitation, (2) a three-loop solenoid for proton excitation and reception and (3) a four-channel receive array for sodium signal reception. Benchmark measurements were performed in phantoms with and without the sodium receive array insert. In vivo images were acquired on a healthy volunteer. The sodium receive array boosted 1.5–3× the SNR compared to the solenoid. Proton SNR loss due to residual interaction with the sodium array was <10%. The coil enabled sodium imaging in vivo with 2.8 mm isotropic nominal resolution (~5 mm real resolution) in 9:36 min. The coil design that we propose addresses challenges associated with sodium’s low SNR from a hardware perspective and offers the opportunity to investigate non-invasively breast tumor metabolism as function of sodium concentration in patients undergoing NACT.

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          SENSE: Sensitivity encoding for fast MRI

          New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementary to Fourier preparation by linear field gradients. Thus, by using multiple receiver coils in parallel scan time in Fourier imaging can be considerably reduced. The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k-space sampling patterns. Special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density. For this case the feasibility of the proposed methods was verified both in vitro and in vivo. Scan time was reduced to one-half using a two-coil array in brain imaging. With an array of five coils double-oblique heart images were obtained in one-third of conventional scan time. Magn Reson Med 42:952-962, 1999. Copyright 1999 Wiley-Liss, Inc.
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            Preoperative therapy in invasive breast cancer: pathologic assessment and systemic therapy issues in operable disease.

            To review the state of the science with respect to preoperative systemic therapy and pathologic assessment in operable breast cancer. This article reviews data presented at the National Cancer Institute State of the Science Conference on Preoperative Therapy in Invasive Breast Cancer as well as supporting published data. Preoperative chemotherapy in operable breast cancer has been shown to improve breast conservation rates as a result of tumor response to therapy. When patients are given preoperative systemic therapy, regimens should be the same as those established as safe and active in the adjuvant setting. At present, there are no data to suggest that systemic treatment should be tailored based on initial tumor response, or based on the extent of residual disease. In operable breast cancer, there seems to be no survival advantage from initiation of systemic therapy before surgery. A variety of clinical, imaging, and pathologic measurements are available to gauge tumor response to treatment. There is a clear correlation between tumor response in the breast and lymph nodes and both disease-free and overall survival. Pathologic complete response and other pathologic measures may be useful as surrogate end points in evaluating and understanding new therapies. In operable breast cancer, preoperative systemic therapy is effective and can improve breast conservation rates. Unless the tumor is large or the patient is in a clinical trial, postoperative adjuvant systemic therapy is the standard of care. To achieve optimal outcomes, preoperative systemic therapy must be administered as part of a coordinated, multimodality treatment program. The preoperative setting provides a unique opportunity to study the impact of systemic therapies on breast cancer biology.
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              Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results.

              The objective of this study was to assess changes in the water apparent diffusion coefficient (ADC) and in pharmacokinetic parameters obtained from the fast-exchange regime (FXR) modeling of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) during neoadjuvant chemotherapy in breast cancer. Eleven patients with locally advanced breast cancer underwent MRI examination prior to and after chemotherapy but prior to surgery. A 1.5-T scanner was used to obtain T1, ADC and DCE-MRI data. DCE-MRI data were analyzed by the FXR model returning estimates of K(trans) (volume transfer constant), v(e) (extravascular extracellular volume fraction) and tau(i) (average intracellular water lifetime). Histogram and correlation analyses assessed parameter changes post-treatment. Significant (P < .05) changes or trends towards significance (P < .10) were seen in all parameters except tau(i), although there was qualitative reduction in tau(i) values post-treatment. In particular, there was reduction (P < .035) in voxels with K(trans) values in the range 0.2-0.5 min(-1) and a decrease (P < .05) in voxels with ADC values in the range 0.99 x 10(-3) to 1.35 x 10(-3) mm2/s. ADC and v(e) were negatively correlated (r = -.60, P < .02). Parameters sensitive to water distribution and geometry (T(1), v(e), tau(i) and ADC) correlated with a multivariable linear regression model. The analysis presented here is sensitive to longitudinal changes in breast tumor status; K(trans) and ADC are most sensitive to these changes. Relationships between parameters provide information on water distribution and geometry in the tumor environment.
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                Author and article information

                Journal
                Magnetic Resonance in Medicine
                Magn Reson Med
                Wiley
                0740-3194
                1522-2594
                May 27 2019
                October 2019
                May 31 2019
                October 2019
                : 82
                : 4
                : 1566-1575
                Affiliations
                [1 ]Center for Advanced Imaging Innovation and Research (CAI<sup>2</sup>R) and Center for Biomedical Imaging, Department of Radiology New York University School of Medicine New York New York
                [2 ]The Sackler Institute of Graduate Biomedical Science New York University School of Medicine New York New York
                Article
                10.1002/mrm.27829
                6626555
                31148249
                2245e3c6-caee-4d43-a088-7c93f7e6c48c
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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