Results 51 to 60 of about 36,528,467 (199)
Objective: The study aims to determine the diagnostic accuracy of digital breast tomosynthesis in diagnosing malignant and benign lesions, keeping histopathology as the gold standard. Study Design: Cross-sectional study. Place and Duration of Study: The
Kanza Afzal +4 more
doaj +1 more source
Abstract Background 3D‐printing enables the production of anthropomorphic breast phantoms for assessing image quality in digital mammography (DM) and breast tomosynthesis (DBT). 3D‐printing materials must be selected carefully to mimic breast tissue attenuation for clinical spectra.
Adrián Belarra +4 more
wiley +1 more source
Background: Breast cancer has a high prevalence in Egyptian women representing a major health problem for the patients and the community. Mammography is the primary modality in breast imaging inspite of its well-known limitations.
Rania Refaat, Mohammed Moh. Matar
doaj +1 more source
A multidisciplinary approach to hereditary breast and ovarian cancer (HBOC) involving genetic testing, counseling, and targeted therapy enables effective risk reduction and personalized disease management. ABSTRACT Background Hereditary breast and ovarian cancer (HBOC) syndromes, responsible for 5%–10% of all breast and ovarian cancers in the general ...
Prathika Sherigar +4 more
wiley +1 more source
Background Synthesized mammography (SM) refers to two-dimensional (2D) images derived from the digital breast tomosynthesis (DBT) data. It can reduce the radiation dose and scan duration when compared with conventional full-field digital ...
Ekta Dhamija +5 more
doaj +1 more source
Gist processing in digital breast tomosynthesis
Evans et al. (2016) showed that radiologists can classify the mammograms as normal or abnormal at above-chance levels after a 250-ms exposure. Our study documents a similar gist signal in digital breast tomosynthesis (DBT) images. DBT is a relatively new technology that creates a three-dimensional image set of slices through the volume of the breast ...
Chia-Chien, Wu +3 more
openaire +3 more sources
ABSTRACT High mammographic density is a well‐known risk factor for breast cancer and reduces the sensitivity of mammography‐based screening. While automated machine and deep learning‐based methods provide more consistent and precise measurements compared to subjective Breast Imaging Reporting and Data System (BI‐RADS) assessments, they often fail to ...
Manel Rakez +7 more
wiley +1 more source
Characterization of lesions in dense breasts: Does tomosynthesis help?
Context: Mammography in dense breasts is challenging due to lesion obscuration by tissue overlap. Does tomosynthesis offers a solution? Aims: To study the impact of digital breast tomosynthesis (DBT) in characterizing lesions in breasts of different ...
Krithika Rangarajan +5 more
doaj +1 more source
Increasing efficiency in the ACR Digital Mammography QC Manual's DBT Z‐resolution evaluation
Abstract Background The Z‐resolution evaluation in the ACR Digital Mammography (DM) QC manual measures a pseudo full width half max (pFWHM) from speck group signals through slices of the phantom for comparison to a baseline value. Purpose The evaluation requires measurement of seven ROIs on up to nine slices, for a potential of up to 63 ROIs. This work
Ryan F. Fisher +3 more
wiley +1 more source
Digital Breast Tomosynthesis: Clinical Operations
Abstract Digital breast tomosynthesis (DBT) is rapidly becoming the standard of care for breast cancer screening. Implementing DBT into practice is relatively straightforward. However, there are important elements of the transition that one must consider to facilitate this process.
Dipti Gupta +3 more
openaire +2 more sources

