The radiologist's ability to effectively communicate with patients is crucial in breast imaging. Having to tell a patient that she or he requires a biopsy procedure or has a new diagnosis of breast cancer is both a challenging task and a daily reality for many practicing breast radiologists. Despite this, communication in breast imaging is often not formally taught in most training programs, leading many breast radiologists to obtain their skills through on-the-job experience. We discuss the importance of effective communication with patients and a breast imaging-specific method for delivering bad news, adapted from approaches used in medical oncology. A conversation "script" or guide is provided along with the rationale for how to best handle these difficult conversations. Lastly, we review how to teach effective communication to those in training using our breast imaging fellowship program and recent survey results as an example.
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http://dx.doi.org/10.1093/jbi/wbad101 | DOI Listing |
J Magn Reson Imaging
January 2025
Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Breast cancer continues to be a major health concern, and early detection is vital for enhancing survival rates. Magnetic resonance imaging (MRI) is a key tool due to its substantial sensitivity for invasive breast cancers. Computer-aided detection (CADe) systems enhance the effectiveness of MRI by identifying potential lesions, aiding radiologists in focusing on areas of interest, extracting quantitative features, and integrating with computer-aided diagnosis (CADx) pipelines.
View Article and Find Full Text PDFExp Ther Med
February 2025
Department of Breast Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Occult breast cancer (OBC) is a relatively rare clinical condition that can complicate differential diagnosis efforts and delay the administration of specific treatments. The individualized therapy of patients with OBC should be performed based on their clinical symptoms, imaging findings and pathological diagnosis. The present case study describes a 51-year-old woman with a painless left axillary tumor.
View Article and Find Full Text PDFBiomed Eng Lett
January 2025
Electronics and Communication Engineering, IFET College of Engineering, Villupuram, Tamilnadu India.
Unlabelled: Breast cancer (BC) remains a significant global health issue, necessitating innovative methodologies to improve early detection and diagnosis. Despite the existence of intelligent deep learning models, their efficacy is often limited due to the oversight of small-sized masses, leading to false positive and false negative outcomes. This research introduces a novel segmentation-guided classification model developed to increase BC detection accuracy.
View Article and Find Full Text PDFKorean J Radiol
January 2025
Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Objective: The aim of this study was to compare image quality features and lesion characteristics between a faster deep learning (DL) reconstructed T2-weighted (T2-w) fast spin-echo (FSE) Dixon sequence with super-resolution (T2) and a conventional T2-w FSE Dixon sequence (T2) for breast magnetic resonance imaging (MRI).
Materials And Methods: This prospective study was conducted between November 2022 and April 2023 using a 3T scanner. Both T2 and T2 sequences were acquired for each patient.
Clin Nucl Med
January 2025
From the Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY.
Breast cancer presents a significant global health challenge, necessitating continued innovation in diagnostic and therapeutic approaches. Recent advances have led to the identification of cancer-associated fibroblasts, which are highly prevalent in breast cancers and express fibroblast activation proteins (FAPs), as critical targets. FAP-specific radiotracers, when used with PET/CT and SPECT/CT, have significant potential for improving early breast cancer detection, staging, treatment response monitoring, and therapeutic intervention.
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