Results 21 to 30 of about 14,831 (169)

Do automated breast ultrasound and tomosynthesis have an effective role in dense breast evaluation?

The Egyptian Journal of Radiology and Nuclear Medicine, 2021
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 ...
Engy A. Ali, Fatma Saeed, Lamiaa Adel
doaj   +1 more source

Digital breast tomosynthesis in breast cancer screening: an ethical perspective

Insights into Imaging
Although digital breast tomosynthesis has higher sensitivity than digital mammography and at least as high specificity, digital mammography remains the most common method for conducting mammographic screening.
Simon Rosenqvist, Johan Brännmark, Magnus Dustler   +2 more
doaj   +1 more source

Comparison of Chromosomal Damage caused by Conventional and Digital Mammography in Human Peripheral Lymphocytes

Medical Journal of Dr. D.Y. Patil Vidyapeeth
Background: Mammography is a widely used technology preferred by doctors for the early detection of breast cancer. Underlying problems are identified in about three years and are considered the most efficient method.
S Nourin, G Tamizh Selvan, R Vishakh, Suchetha K. Nalilu, Shashi K. Shetty   +4 more
doaj   +1 more source

Tumor size assessment with three breast imaging modalities: Finding which is best?

Medical Journal of Babylon, 2023
Background and Objectives: Diagnostic accuracy of breast MR is higher than the routinely used sonomammography and digital mammography. There are mixed reports regarding usefulness of breast MR imaging regarding the tumor size estimation. The objective of
Sreenidhi Sediguli, Raghu Srinivasa Gowda, Rupa Ranganathan, Senthil Kumar B   +3 more
doaj   +1 more source

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

Prevalence of coronary artery disease evaluated by coronary CT angiography in women with mammographically detected breast arterial calcifications. [PDF]

PLoS ONE, 2015
To assess the correlation between breast arterial calcifications (BAC) on digital mammography and the extent of coronary artery disease (CAD) diagnosed with dual source coronary computed tomography angiography (CTA) in a population of women both ...
Leila Mostafavi, Wanda Marfori, Cesar Arellano, Alessia Tognolini, William Speier, Ali Adibi, Stefan G Ruehm   +6 more
doaj   +1 more source

Application of MR Cytometry in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparative Study

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background MR cytometry imaging is developed to characterize in vivo microstructures. Its clinical value in predicting pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) for breast cancer remains unknown. Purpose To implement MR cytometry to predict pCR for breast cancer and compare the performance of different ...
Jie Ding, Diwei Shi, Shiyun Sun, Jinlong Zheng, Wentao Yang, Caixia Fu, Dazhi Chen, Junzhong Xu, Hua Guo, Chao You, Yajia Gu   +10 more
wiley   +1 more source

Australia's Three System Approach to Mammographic Image Quality Assessment

Journal of Medical Radiation Sciences, EarlyView.
Mammographic image evaluation in Australia remains constrained by the use of fragmented, subjective, and largely unevaluated systems. The continued use of the Perfect (P), Good (G), Moderate (M), Inadequate (I) (PGMI) image evaluation system (IES) framework despite concerns around its validity and reliability reflects a perceived practical utility and ...
Kelly Bentley‐Spuur, Minh T. Chau
wiley   +1 more source

Digital Mammography

, 2010
Breast density is positively linked to the risk of developing breast cancer. Furthermore, the addition of breast density as an input to breast cancer risk prediction models has been shown to improve their predictive power. Such models are used in the management of women at high risk but could potentially be used to determine screening strategy.
Martí, J., Oliver, A., Freixenet, J., Martí, R.   +3 more
  +5 more sources

Mammography Datasets for Neural Networks—Survey

Journal of Imaging, 2023
Deep neural networks have gained popularity in the field of mammography. Data play an integral role in training these models, as training algorithms requires a large amount of data to capture the general relationship between the model’s input and output.
Adam Mračko, Lucia Vanovčanová, Ivan Cimrák   +2 more
doaj   +1 more source