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Breast mr

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https://www.readbyqxmd.com/read/28079289/apocrine-metaplasia-found-at-mr-biopsy-is-there-something-to-be-learned
#1
Yiming Gao, Vandana Dialani, Carolynn DeBenedectis, Nicole Johnson, Elena Brachtel, Priscilla Slanetz
The purpose of this study was to determine (a) the frequency of apocrine metaplasia (ApoM) found on MR core biopsy of suspicious findings, and (b) to determine if there are specific MR imaging features that might obviate the need for biopsy. This HIPAA-compliant retrospective study was performed under IRB exemption for quality assurance studies. Patient demographics, MR imaging features, and pathology were reviewed. Breast lesions which underwent MR-guided biopsy, yielding ApoM on pathology analysis were included...
January 12, 2017: Breast Journal
https://www.readbyqxmd.com/read/28076009/delineating-extramammary-findings-at-breast-mr-imaging
#2
Yiming Gao, Opeyemi Ibidapo, Hildegard K Toth, Linda Moy
Breast magnetic resonance (MR) imaging is the only breast imaging modality that consistently encompasses extramammary structures in the thorax and upper abdomen. Incidental extramammary findings on breast MR images of patients with a history of breast cancer or other malignancies are significantly more likely to be malignant and may affect staging and treatment. An understanding of the frequency, distribution, and context of extramammary findings on breast MR images and a familiarity with common and uncommon sites of breast cancer metastasis inform the differential diagnosis and prompt the appropriate diagnostic next step, to differentiate benign from malignant findings...
January 2017: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://www.readbyqxmd.com/read/28067435/mr-imaging-findings-in-molecular-subtypes-of-breast-cancer-according-to-birads-system
#3
Lidia Navarro Vilar, Salvador Pascual Alandete Germán, Rosana Medina García, Esther Blanc García, Natalia Camarasa Lillo, José Vilar Samper
To evaluate magnetic resonance imaging (MRI) findings, according to Breast Imaging-Reporting and Data System (BI-RADS), and to relate them with molecular subtypes of breast cancer. The MRI findings were reviewed retrospectively in 201 women diagnosed of invasive breast cancer confirmed by surgery and were compared with the molecular subtypes. Following the BI-RADS, MRI findings included disease type, size, enhancement, morphology and contrast kinetics. In mass-like lesion types were studied shape, margin and enhancement, and in nonmass-like lesion types, distribution modifiers and internal enhancement...
January 9, 2017: Breast Journal
https://www.readbyqxmd.com/read/28066808/effect-of-mr-imaging-contrast-thresholds-on-prediction-of-neoadjuvant-chemotherapy-response-in-breast-cancer-subtypes-a-subgroup-analysis-of-the-acrin-6657-i-spy-1-trial
#4
Wen Li, Vignesh Arasu, David C Newitt, Ella F Jones, Lisa Wilmes, Jessica Gibbs, John Kornak, Bonnie N Joe, Laura J Esserman, Nola M Hylton
Functional tumor volume (FTV) measurements by dynamic contrast-enhanced magnetic resonance imaging can predict treatment outcomes for women receiving neoadjuvant chemotherapy for breast cancer. Here, we explore whether the contrast thresholds used to define FTV could be adjusted by breast cancer subtype to improve predictive performance. Absolute FTV and percent change in FTV (ΔFTV) at sequential time-points during treatment were calculated and investigated as predictors of pathologic complete response at surgery...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28055246/validation-of-a-semi-automated-technique-to-accurately-measure-abdominal-fat-distribution-using-ct-and-mri-for-clinical-risk-stratification
#5
Mohammed Abdul Waduud, Amal Sharaf, Iain Roy, Rosario Lopez-Gonzalez, Andrew Hart, David McGill, Giles Roditi, John Biddlestone
OBJECTIVES: A valid method for accurate quantification of abdominal fat distribution (AFD) using both computer tomography (CT) and magnetic resonance imaging (MRI) is described. This method will be primarily useful in the prospective risk stratification of patients undergoing reconstructive breast surgery. Secondary applications in many other clinical specialities are foreseen. METHODS: 15 sequential patients who had undergone breast reconstruction following both CT and MRI imaging (30 scans) were retrospectively identified at our single centre...
January 5, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/28050694/survival-prediction-using-temporal-muscle-thickness-measurements-on-cranial-magnetic-resonance-images-in-patients-with-newly-diagnosed-brain-metastases
#6
Julia Furtner, Anna S Berghoff, Omar M Albtoush, Ramona Woitek, Ulrika Asenbaum, Daniela Prayer, Georg Widhalm, Brigitte Gatterbauer, Karin Dieckmann, Peter Birner, Bernadette Aretin, Rupert Bartsch, Christoph C Zielinski, Veronika Schöpf, Matthias Preusser
OBJECTIVES: To evaluate the prognostic relevance of temporal muscle thickness (TMT) in brain metastasis patients. METHODS: We retrospectively analysed TMT on magnetic resonance (MR) images at diagnosis of brain metastasis in two independent cohorts of 188 breast cancer (BC) and 247 non-small cell lung cancer (NSCLC) patients (overall: 435 patients). RESULTS: Survival analysis using a Cox regression model showed a reduced risk of death by 19% with every additional millimetre of baseline TMT in the BC cohort and by 24% in the NSCLC cohort...
January 3, 2017: European Radiology
https://www.readbyqxmd.com/read/28048929/su-c-207b-04-automated-segmentation-of-pectoral-muscle-in-mr-images-of-dense-breasts
#7
E Verburg, S N de Waard, W B Veldhuis, C H van Gils, Kga Gilhuijs
PURPOSE: To develop and evaluate a fully automated method for segmentation of the pectoral muscle boundary in Magnetic Resonance Imaging (MRI) of dense breasts. METHODS: Segmentation of the pectoral muscle is an important part of automatic breast image analysis methods. Current methods for segmenting the pectoral muscle in breast MRI have difficulties delineating the muscle border correctly in breasts with a large proportion of fibroglandular tissue (i.e., dense breasts)...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048384/su-d-207b-06-predicting-breast-cancer-malignancy-on-dce-mri-data-using-pre-trained-convolutional-neural-networks
#8
N Antropova, B Huynh, M Giger
PURPOSE: We investigate deep learning in the task of distinguishing between malignant and benign breast lesions on dynamic contrast-enhanced MR images (DCE-MRIs), eliminating the need for lesion segmentation and extraction of tumor features. We evaluate convolutional neural network (CNN) after transfer learning with ImageNet, a database of thousands of non-medical images. METHODS: Under a HIPAA-compliant IRB protocol, a database of 551 (357 malignant and 194 benign) breast MRI cases was collected...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048357/su-f-r-05-multidimensional-imaging-radiomics-geodesics-a-novel-manifold-learning-based-automatic-feature-extraction-method-for-diagnostic-prediction-in-multiparametric-imaging
#9
V Parekh, M A Jacobs
PURPOSE: Multiparametric radiological imaging is used for diagnosis in patients. Potentially extracting useful features specific to a patient's pathology would be crucial step towards personalized medicine and assessing treatment options. In order to automatically extract features directly from multiparametric radiological imaging datasets, we developed an advanced unsupervised machine learning algorithm called the multidimensional imaging radiomics-geodesics(MIRaGe). METHODS: Seventy-six breast tumor patients underwent 3T MRI breast imaging were used for this study...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048140/mo-fg-campus-jep2-05-mri-guided-single-fraction-boost-delivery-on-individual-axillary-lymph-nodes
#10
T C F van Heijst, N Hoekstra, M E P Philippens, D Eschbach, J J W Lagendijk, H J G D van den Bongard, B van Asselen
PURPOSE: The Utrecht MRI-linac (MRL) design enables new MR-guided radiotherapy (RT) approaches. This is a feasibility study for a single-fraction high dose (boost) to individual lymph nodes (LNs) in breast-cancer patients, after breast-conserving surgery (BCS) and hypofractionated whole-breast irradiation (WBI) with conventional axillary RT (AxRT). METHODS: After written informed consent, 5 breast-cancer patients (cT1-3N0) were enrolled (NL500460.041.14 trial) and underwent 1...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048075/su-f-i-22-development-and-implementation-of-task-specific-modular-phantom-for-mri-quality-evaluation
#11
H Cho, C Hong, I Doh, B Ahn
PURPOSE: To investigate the potential of a newly developed modular phantom with image quality test structure for MRI quality control. METHODS: The modular phantom consists of individual basic mapping (BM) modules, image quality control (QC) modules, and accessories to improve combination variability for multipurpose use. BM modules were designed based on the stud-and-tube coupling system with an internal hollow and an individual enclosed structure. The QC modules include signal-to-noise ratio, image intensity uniformity, geometric accuracy, high-contrast spatial resolution, slice thickness accuracy, slice position accuracy and low-contrast object detectability evaluation test structure...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048059/tu-ab-202-06-quantitative-evaluation-of-deformable-image-registration-in-mri-guided-adaptive-radiation-therapy
#12
K Mooney, T Zhao, Y Duan, M Zhang, O Green, S Mutic, D Yang
PURPOSE: To assess the performance of the deformable image registration algorithm used for MRI-guided adaptive radiation therapy using image feature analysis. METHODS: MR images were collected from five patients treated on the MRIdian (ViewRay, Inc., Oakwood Village, OH), a three head Cobalt-60 therapy machine with an 0.35 T MR system. The images were acquired immediately prior to treatment with a uniform 1.5 mm resolution. Treatment sites were as follows: head/neck, lung, breast, stomach, and bladder...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047917/tu-h-campus-jep2-01-inter-observer-delineation-comparison-of-visible-glandular-breast-tissue-on-magnetic-resonance-imaging-and-computed-tomography-prone-and-supine
#13
E M Pogson, G Delaney, V Ahern, M Boxer, S David, M Dimigen, J Harvey, E Koh, K Lim, G Papadatos, M Yap, V Batumalai, P Metcalfe, L Holloway
PURPOSE: Breast cancers predominantly arise from Glandular Breast Tissue (GBT). If the GBT can be treated effectively post-operatively utilising radiotherapy this may be adequate volumetric coverage for adjuvant breast radiotherapy. Adequate imaging of the GBT is necessary and will be assessed between MRI and CT modalities. GBT visualisation is acknowledged to be qualitatively superior on Magnetic Resonance Image (MRI) compared to Computed Tomography (CT), the current radiotherapy imaging standard, however this has not been quantitatively assessed...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047861/su-f-t-317-skin-exposure-outside-the-treatment-field-during-treatment-of-breast-cancer-with-tri-co-60-mr-igrt-system
#14
J Park, J Kim, S Park, S Kim, K Shin
PURPOSE: To investigate exposure outside the treatment field when treating breast cancer with tri-Co-60 magnetic resonance (MR) image guided radiation therapy (IGRT) system. METHODS: A total of 7 patients who treated with accelerated partial breast irradiation (APBI) technique were selected prospectively for this study (prescription dose = 38.5 Gy in 10 fractions). Every patient treated with two plans, one was an initial plan and the other was an adaptive plan generated after finishing 5 fractions (a total of 14 plans)...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047704/su-g-jep2-05-dose-effects-of-a-1-5t-magnetic-field-on-air-tissue-and-lung-tissue-interfaces-in-mri-guided-radiotherapy
#15
Xinfeng Chen, Phillip Prior, Guangpei Chen, Christopher Schultz, X Allen Li
PURPOSE: The purpose of the study is to investigate the dose effects of electron-return-effect (ERE) at air-tissue and lung-tissue interfaces under a 1.5T transverse-magnetic-field (TMF). METHODS: IMRT and VMAT plans for representative pancreas, lung, breast and head & neck (H&N) cases were generated following clinical dose volume (DV) criteria. The air-cavity walls, as well as the lung wall, were delineated to examine the ERE. In each case, the original plan generated without TMF is compared with the reconstructed plan (generated by recalculating the original plan with the presence of TMF) and the optimized plan (generated by a full optimization with TMF), using a variety of DV parameters, including V100%, D95% and dose heterogeneity index for PTV, Dmax, and D1cc for OARs (organs at risk) and tissue interface...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047264/tu-d-207b-05-intra-tumor-partitioning-and-texture-analysis-of-dce-mri-identifies-relevant-tumor-subregions-to-predict-early-pathological-response-of-breast-cancer-to-neoadjuvant-chemotherapy
#16
J Wu, G Gong, Y Cui, R Li
PURPOSE: To predict early pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multi-region analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI). METHODS: In this institution review board-approved study, 35 patients diagnosed with stage II/III breast cancer were retrospectively investigated using DCE-MR images acquired before and after the first cycle of NAC. First, principal component analysis (PCA) was used to reduce the dimensionality of the DCE-MRI data with a high-temporal resolution...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047210/th-ab-bra-07-penelope-based-gpu-accelerated-dose-calculation-system-applied-to-mri-guided-radiation-therapy
#17
Y Wang, T Mazur, O Green, Y Hu, H Li, V Rodriguez, H Wooten, D Yang, T Zhao, S Mutic, H Li
PURPOSE: The clinical commissioning of IMRT subject to a magnetic field is challenging. The purpose of this work is to develop a GPU-accelerated Monte Carlo dose calculation platform based on PENELOPE and then use the platform to validate a vendor-provided MRIdian head model toward quality assurance of clinical IMRT treatment plans subject to a 0.35 T magnetic field. METHODS: We first translated PENELOPE from FORTRAN to C++ and validated that the translation produced equivalent results...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046969/su-d-207b-04-morphological-features-of-mri-as-a-correlate-of-capsular-contracture-in-breast-cancer-patients-with-implant-based-reconstructions
#18
N Tyagi, E Sutton, M Hunt, A Apte, J Zhang, J Oh, J Mechalakos, B Mehrara, E Matros, A Ho
PURPOSE: Capsular contracture (CC) is a serious complication in patients receiving implant-based reconstruction for breast cancer. The goal of this study was to identify image-based correlates of CC using MRI imaging in breast cancer patients who received both MRI and clinical evaluation following reconstructive surgery. METHODS: We analyzed a retrospective dataset of 50 patients who had both a diagnostic MR and a plastic surgeon's evaluations of CC score (Baker's score) within a six month period following mastectomy and reconstructive surgery...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046496/tu-h-bra-09-relationship-between-b0-and-the-contrast-to-noise-ratio-cnr-of-tumour-to-background-for-mri-radiotherapy-hybrids
#19
K Wachowicz, N DeZanche, E Yip, V Volotovskyy, B Fallone
PURPOSE: To investigate the relationship in MRI between B0 and the contrast-to-noise ratio (CNR) of various tumour/normal tissue pairs. This study is motivated by the current interest in MRI/radiotherapy hybrids, for which multiple magnetic field strengths have been proposed. CNR is the single most important parameter governing the ability of a system to identify a tumour in real time for treatment guidance. The MRI community has long since recognized that the SNR of a well-designed MR system is roughly proportional to B0 , the polarizing magnetic field...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046345/su-f-r-26-prognostic-radiomics-of-breast-cancer-on-dce-and-dwi-mr-images
#20
N Maforo, H Li, L Lan, A Edwards, M L Giger
PURPOSE: For this study, we investigated quantitative radiomics of breast tumors on diffusion weighted imaging and dynamic contrast-enhanced MRIs in the task of assessing the prognostic status of breast cancers. METHODS: Our IRB-approved, retrospectively-collected dataset included 316 breast cancers with 235 ER+ and 81 ER- cases. All images were acquired during clinical breast MRI incorporating dynamic-contrast MRI and diffusion-weighted MRI. Phenotypic categories extracted quantitatively from DCE-MRI included tumor size, shape, margin sharpness, enhancement texture, kinetics, and variance kinetics, and from DWI-DCE ADC features (average, range, variation) for DWI...
June 2016: Medical Physics
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