Results 31 to 40 of about 86,709 (269)

Mammography screening in Greece: An exploratory survey of women's views, experiences and behaviours [PDF]

open access: yes, 2012
Background: Internationally, breast cancer comprises 29% of all cancer incidences. In Greece, 1,500-1,800women die annually from breast cancer out of the 4,000 who are affected.
Kalsta, K   +7 more
core   +1 more source

Cancer in Systemic Sclerosis: Clinical Associations and Prognostic Impact From the EUSTAR Registry

open access: yesArthritis &Rheumatology, EarlyView.
Objective Cancer represents a major cause of death in systemic sclerosis (SSc). Established risk factors are limited to specific subsets, particularly early diffuse anti‐RNA polymerase III (POLR3)–positive disease, needing further exploration. Methods We performed a nested case‐control study within the European Scleroderma Trials and Research group ...
Antonio Tonutti   +52 more
wiley   +1 more source

Dataset of breast mammography images with masses

open access: yesData in Brief, 2020
Among many cancers, breast cancer is the second most common cause of death in women. Early detection and early treatment reduce breast cancer mortality.
Mei-Ling Huang, Ting-Yu Lin
doaj   +1 more source

Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography

open access: yesFrontiers in Oncology, 2021
ObjectiveTo build radiomics models using features extracted from DCE-MRI and mammography for diagnosis of breast cancer.Materials and Methods266 patients receiving MRI and mammography, who had well-enhanced lesions on MRI and histologically confirmed ...
You-Fan Zhao   +12 more
doaj   +1 more source

Optimising breast cancer screening in national mammography screening centres: challenges and insights on implementing additional ultrasound for women with dense breast tissue — a qualitative study

open access: yesBMC Cancer
Background Research indicates that incorporating supplemental breast ultrasound in addition to mammography can enhance the sensitivity of public mammography screening, particularly for women with dense breast tissue.
Susanne A. Elsner   +7 more
doaj   +1 more source

A comparative study of the diagnostic value of contrast-enhanced breast MR imaging and mammography on patients with BI-RADS 3-5 microcalcifications. [PDF]

open access: yesPLoS ONE, 2014
OBJECTIVE: To retrospectively investigate the diagnostic value of breast MRI in patients with BI-RADS 3-5 microcalcifications in mammography. METHODS: Eighty-four patients with BI-RADS 3-5 microcalcifications on mammography underwent breast MR exams ...
Erni Li   +4 more
doaj   +1 more source

Screening for breast cancer : medicalization, visualization and the embodied experience [PDF]

open access: yes, 2010
Women’s perspectives on breast screening (mammography and breast awareness) were explored in interviews with midlife women sampled for diversity of background and health experience.
Gillian Bendelow   +13 more
core   +1 more source

Circular Economy in the Healthcare Industry: Developing a Circularity Assessment Tool for Complex Medical Devices

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT As the circular economy transition gains traction in the healthcare sector, extending the lifespan of complex medical devices has become a key priority, given their high cost and the challenges associated with their technological sophistication.
Tetiana Shevchenko   +7 more
wiley   +1 more source

Revisiting the Effects of Organized Mammography Programs on Inequalities in Breast Screening Uptake: A Multilevel Analysis of Nationwide Data From 1997 to 2017

open access: yesFrontiers in Public Health, 2022
This study revisits the effects of mammography screening programs on inequalities in breast screening uptake in Switzerland. The progressive introduction of regional mammography programs by 12 out of the 26 Swiss cantons (regions) since 1999 offers an ...
Vladimir Jolidon   +7 more
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

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