Objective: To evaluate the incidences of hyperechoic breast lesions and hyperechoic breast cancers in lesions categorized as Breast Imaging Reporting and Data System (BI-RADS) 4 and 5 on ultrasound and investigate their sonographic features and the underlying histological causes.
Methods: The pathologic records for 848 sonographically guided core needle biopsies or surgical resection were retrospectively reviewed from June 2012 to March 2014. Hyperechoic lesions were identified and their sonographic features were evaluated. The incidence of hyperechoic breast lesions and the frequency of hyperechoic cancers among all hyperechoic breast lesions were calculated.
Results: Of all 848 lesions, 0.9% (8/848) were hyperechoic. Twenty-five percent (2/8) of the hyperechoic lesions were malignant and the remaining six were benign. Among the 280 malignant lesions, 0.7%(2/280) were hyperechoic. The pathological basis of breast lesions presenting as hyperechoic nodules included inflammatory edema, galactoceles, and grit calcifications. Little difference of sonographic feature was found between benign and malignant hyperechoic lesions in this study.
Conclusions: Hyperechoic breast lesions are rare conditions but can be associated with a high ratio of breast cancer. History-taking and imaging techniques may help to avoid misdiagnosis.
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http://dx.doi.org/10.3881/j.issn.1000-503X.2015.05.014 | DOI Listing |
Pol J Radiol
December 2024
Nuclear Fuel Research School, Nuclear Science and Technology Research Institute, Tehran, Iran.
Purpose: This study explored the use of computer-aided diagnosis (CAD) systems to enhance mammography image quality and identify potentially suspicious areas, because mammography is the primary method for breast cancer screening. The primary aim was to find the best combination of preprocessing algorithms to enable more precise classification and interpretation of mammography images because the selected preprocessing algorithms significantly impact the effectiveness of later classification and segmentation processes.
Material And Methods: The study utilised the mini-MIAS database of mammography images and examined the impact of applying various preprocessing method combinations to differentiate between malignant and benign breast lesions.
Front Med (Lausanne)
January 2025
Department of Surgery, Institute of Medical Sciences, Medical College of Rzeszów University, Rzeszów, Poland.
Opsoclonus-myoclonus syndrome (OMS) is a rare neurological inflammatory disease of paraneoplastic, parainfectious or idiopathic origin. It is manifested by the occurrence of opsoclonus, myoclonus, ataxia, as well as behavioral and sleep disorders. The incidence is estimated at 1/5,000,000 people.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Ultrasound, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
Neoadjuvant chemotherapy (NAC) is a systemic and systematic chemotherapy regimen for breast cancer patients before surgery. However, NAC is not effective for everyone, and the process is excruciating. Therefore, accurate early prediction of the efficacy of NAC is essential for the clinical diagnosis and treatment of patients.
View Article and Find Full Text PDFJpn J Radiol
January 2025
Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Purpose: To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.
Materials And Methods: Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF.
J Nucl Med
January 2025
Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Intrapatient heterogeneity of estrogen receptor (ER) expression on 16α-[F]fluoro-17β-estradiol ([F]FES) PET is related to outcome in patients with ER-positive metastatic breast cancer (MBC), but a validated and practical method to support clinical decision-making is lacking. Therefore, the [F]FES PET heterogeneity score (i.e.
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