Back to Search
Start Over
Do automated breast ultrasound and tomosynthesis have an effective role in dense breast evaluation?
- Source :
- The Egyptian Journal of Radiology and Nuclear Medicine, Vol 52, Iss 1, Pp 1-13 (2021)
- Publication Year :
- 2021
- Publisher :
- SpringerOpen, 2021.
-
Abstract
- Background Mammography plays a great role in reducing breast cancer mortality as it is the standard method of breast imaging and screening. But the accuracy of mammography performance reduces in cancer detection in women with dense breast due to the summation of images and overlapping of breast tissue. ABUS and tomosynthesis both recently help to detect breast cancer in dense breasted women. This prospective study was done in the female imaging unit and approved by its research and ethical committee; all the patients did an informed consent during the period from October 2018 to March 2019. The study was conducted on 38 patients with 38 lesions subjected to digital mammography, tomosynthesis and automated breast ultrasound (ABUS), who all had dense breast in mammography. Results Automated breast ultrasound (ABUS) showed 100% in all sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) as well as accuracy, while the digital mammography tomosynthesis showed 100% in specificity, 87.5% in sensitivity, 100% in PPV, 82.4% in NPV and 92.1% accuracy. Conclusion Automated breast ultrasound (ABUS) together with tomosynthesis makes a revolution in breast screening and detecting cancer in women with dense breasts.
- Subjects :
- medicine.medical_specialty
Digital mammography
medicine.diagnostic_test
Breast imaging
business.industry
R895-920
Cancer
3D tomosynthesis
medicine.disease
Tomosynthesis
Dense breast
Medical physics. Medical radiology. Nuclear medicine
Breast cancer
Automated breast 3D ultrasound
medicine
Mammography
Radiology, Nuclear Medicine and imaging
Radiology
Prospective cohort study
business
skin and connective tissue diseases
Breast ultrasound
Subjects
Details
- Language :
- English
- ISSN :
- 20904762
- Volume :
- 52
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- The Egyptian Journal of Radiology and Nuclear Medicine
- Accession number :
- edsair.doi.dedup.....c92afbf39b08732681df64fed002d23a