Rationale And Objectives: The purpose of this study was to determine the acquisition and interpretation times of screen-film mammography and soft-copy digital mammography in a diagnostic mammography center.
Materials And Methods: The study was conducted in three phases for patients presenting for clinical diagnostic workup to a mammography clinic. In the first phase, technologist acquisition and processing times and radiologist interpretation time were measured for patients imaged with a screen-film mammographic system. During the second phase of the study, times were measured for patients imaged with a direct radiographic digital mammographic system, with interpretation performed on a soft-copy display system. During the third phase, 3 months after installation of the soft-copy display system, times were measured again for patients imaged on the same direct radiographic digital mammographic system, with interpretation with the same soft-copy system. The same four experienced breast imaging radiologists and seven technologists participated in all phases of the study. All data were entered into a database, and statistical analysis was conducted using weighted linear models and logarithmic transformation.
Results: Times were obtained for 295 patients. There were 100 patients each for phases 1 and 2 and 95 patients for phase 3. Diagnostic mammographic acquisition times with processing were 13.02 min/case for screen film (phase 1), 8.16 min/case for digital (phase 2), and 10.66 min/case for digital (phase 3) (P < .001 and P < .0001, respectively). In addition, the radiologist interpretation time for digital mammography in both phases was not significantly different from that for film mammography (P = .2853 and P = .2893, respectively). There was no significant difference between phases 2 and 3 (P = 1.0000). The mean interpretation times were 3.75 min/case for screen film, 2.14 min/case for digital (phase 2), and 2.26 min/case for digital (phase 3).
Conclusions: Digital mammography significantly shortened the acquisition time for diagnostic mammography. There was no significant difference in interpretation time compared to screen-film mammography in a diagnostic mammography setting.
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http://dx.doi.org/10.1016/j.acra.2010.04.018 | DOI Listing |
Sci Rep
January 2025
College of Information Science and Technology, Hainan Normal University, Haikou, 571158, China.
Breast cancer is one of the most aggressive types of cancer, and its early diagnosis is crucial for reducing mortality rates and ensuring timely treatment. Computer-aided diagnosis systems provide automated mammography image processing, interpretation, and grading. However, since the currently existing methods suffer from such issues as overfitting, lack of adaptability, and dependence on massive annotated datasets, the present work introduces a hybrid approach to enhance breast cancer classification accuracy.
View Article and Find Full Text PDFBMJ Case Rep
January 2025
Pathology, Shri B.M. Patil Medical College Hospital and Research Centre, BLDE (Deemed to be University), Vijayapura, Karnataka, India.
Myofibroblastoma is a rare mesenchymal tumour known for its benign nature but complex diagnostic pathway. A woman in her 40s presented with a painless breast mass, initially reported as a fibroadenoma on ultrasound mammography and as a benign to borderline phyllodes tumour on fine needle aspiration cytology. Contrast-enhanced CT was reported as carcinoma of the breast with Breast Imaging and Reporting Data System (BIRADS)-6.
View Article and Find Full Text PDFBiomedicines
January 2025
Radiology Department, Dartmouth Hitchcock Medical Center, Lebanon, NH 03756, USA.
: Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as the most common chronic liver disease, is soon to be the leading indication for liver transplantation; however, the diagnosis may remain occult for decades. There is a need for biomarkers that identify patients at risk for MASLD and patients at risk for disease progression to optimize patient management and outcomes. Lymph node adiposity (LNA) is a novel marker of adiposity identified within axillary lymph nodes on screening mammography.
View Article and Find Full Text PDFInt J Equity Health
January 2025
The Hebrew University of Jerusalem, Faculty of Medicine, Jerusalem, Israel.
Background: Breast cancer is the most prevalent cancer among women worldwide, causing over 400,000 cases of premature death annually. Timely screening mammography (SM) could have prevented most death. Although SM utilization varies across countries, few studies have examined country-level factors, and fewer explored their interaction with individual-level factors.
View Article and Find Full Text PDFEur J Radiol
January 2025
Translational Medical Sciences, School of Medicine, University of Nottingham, City Hospital Campus, Hucknall Road, Nottingham NG5 1PB, United Kingdom.
Purpose: A survey conducted by the European Society of Breast Imaging (EUSOBI) in 2023 revealed significant variations in Quality Assurance (QA) practices across Europe. The UK encourages regular performance monitoring for screen readers. This study aimed to assess the variability in diagnostic performance among readers participating in a wider prospective randomised trial across multiple countries.
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