Publications by authors named "E T Bonaccio"

Article Synopsis
  • The NCCN Guidelines offer healthcare providers a standardized approach for screening and diagnosing breast cancer, covering various clinical situations and types of breast lesions.
  • The guidelines are created by a diverse panel of experts from different medical fields, ensuring comprehensive insights and recommendations.
  • The panel meets yearly to assess new data and feedback, allowing them to update screening recommendations based on the latest findings and discussions.
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We have developed a photoacoustics-based imaging system, the dual-scan mammoscope (DSM), that combines optical contrasts with acoustic detection, to obtain the angiographic features in human breast. In this study, we investigated whether the system can differentiate malignant tumor and healthy breast. We have imaged 38 patients with various tumor types and compared results of tumor-bearing breast with healthy breast for each patient.

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Objective: We present a new photoacoustic tomography system that provides visualization of angiographic features in a human breast with mammogram-like images.

Methods: The system images a mildly compressed breast, from both top and bottom, using two 128-element, 2.25 MHz linear transducer arrays and line optical fiber bundles.

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The NCCN Guidelines for Breast Cancer Screening and Diagnosis have been developed to facilitate clinical decision making. This manuscript discusses the diagnostic evaluation of individuals with suspected breast cancer due to either abnormal imaging and/or physical findings. For breast cancer screening recommendations, please see the full guidelines on NCCN.

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Background: Imaging features derived from MRI scans can be used for not only breast cancer detection and measuring disease extent, but can also determine gene expression and patient outcomes. The relationships between imaging features, gene/protein expression, and response to therapy hold potential to guide personalized medicine. We aim to characterize the relationship between radiologist-annotated tumor phenotypic features (based on MRI) and the underlying biological processes (based on proteomic profiling) in the tumor.

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