Results 41 to 50 of about 11,406 (189)

AI-Based Cancer Detection Model for Contrast-Enhanced Mammography

Bioengineering, 2023
Background: The recent development of deep neural network models for the analysis of breast images has been a breakthrough in computer-aided diagnostics (CAD).
Clément Jailin, Sara Mohamed, Razvan Iordache, Pablo Milioni De Carvalho, Salwa Yehia Ahmed, Engy Abdullah Abdel Sattar, Amr Farouk Ibrahim Moustafa, Mohammed Mohammed Gomaa, Rashaa Mohammed Kamal, Laurence Vancamberg   +9 more
doaj   +1 more source

Diagnostic Radiographers' Application of the Radiation Protection Principles of Justification, Optimisation and Dose Limits in Mpumalanga Province, South Africa

Journal of Medical Radiation Sciences, EarlyView.
The graphic abstract was created with the assistance of the AI tool Claude (Accessed August 2026), using data from the study. The authors reviewed and verified the accuracy of all data and figures presented in the graphic abstract prior to submission.
Wandile Witness Mkhonza, Shantel Lewis, Nicole Robyn Badriparsad   +2 more
wiley   +1 more source

Development of a Nomogram‐Based Clinical Estimation Model for Pathological Upstaging in Patients With Preoperative Ductal Carcinoma In Situ

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Preoperative diagnosis of ductal carcinoma in situ (DCIS) may be followed by pathological upstaging to invasive ductal carcinoma (IDC) upon surgical excision, a discrepancy that significantly impacts surgical planning and decisions regarding sentinel lymph node biopsy (SLNB).
Yu‐Hua Chen, Chung‐Liang Li, Ping‐Fu Yang, Hui‐Hua Hsiao, Fang‐Ming Chen, Sin‐Hua Moi   +5 more
wiley   +1 more source

Rapid Access to Contrast-Enhanced spectral mammogRaphy in women recalled from breast cancer screening: the RACER trial study design

Trials, 2019
Background In the Dutch breast cancer screening program, women recalled with a BI-RADS 0 score are referred for additional imaging, while those with BI-RADS 4/5 scores are also directed to an outpatient breast clinic.
L. M. F. H. Neeter, I. P. L. Houben, P. J. Nelemans, T. J. A. Van Nijnatten, R. M. Pijnappel, C. Frotscher, M. Osinga-de Jong, F. Sanders, T. Van Dalen, H. P. J. Raat, B. A. B. Essers, J. E. Wildberger, M. L. Smidt, M. B. I. Lobbes   +13 more
doaj   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai, Jo‐Ching Wang, Wei‐Shiuan Chung, Jui‐Sheng Hsu, Shu‐Yen Lin, Ming‐Feng Hou, Ming‐Chung Chou   +6 more
wiley   +1 more source

Proteomic Analysis of Mixed Cell Membrane Extracts From Triple‐Negative Breast Cancer Cell Lines Revealed Broad Metabolic Reprogramming Associated With Tumor Progression

PROTEOMICS, EarlyView.
ABSTRACT Triple‐negative breast cancer (TNBC) represents the most aggressive subtype with limited therapeutic options and the poorest clinical outcomes. Using high‐resolution nUPLC‐QTOF‐MS/MS, we performed comprehensive proteomic profiling of TNBC cell lines representing disease progression stages: HCC‐1937 (stage IIB), HCC‐1599 (stage IIIA), and MDA ...
Claudia Sissely Chaviano‐Montes de Oca, Violeta Larios‐Serrato, María Luisa Labra‐Barrios, Emmanuel Ríos‐Castro, Carlos Alberto Castañón‐Sánchez, Rodolfo Moreno‐Castillo, Erika Beatriz Ángeles‐Morales, Juan Pedro Luna‐Arias   +7 more
wiley   +1 more source

Could new mammography techniques be an alternative for dynamic contrast-enhanced breast MRI in the diagnosis and preoperative staging of breast lesions?

The Egyptian Journal of Radiology and Nuclear Medicine
Background Breast cancer is the most common malignant tumor among women, and all the imaging modalities are used to help in the early detection and accurate diagnosis of breast abnormalities and so led to proper management. Breast tomosynthesis is one of
Marwa A Haggag, Maha H Helal, Rasha M Kamal, Radwa E Mostafa, Asmaa I. Salama, Ahmed E Hassan   +5 more
doaj   +1 more source

Contrast-enhanced spectral mammography: successful initial clinical institute experience

The Egyptian Journal of Radiology and Nuclear Medicine, 2021
Background Contrast-enhanced spectral mammography (CESM) is a relatively newly developed advanced application with modification of digital mammography by the use of a contrast agent, but still has little known efficacy among Egyptian patients. Our aim in
Nivine Abdel Moneim Chalabi, Amal Amin AbuElMaati, Momena Essam Ibrahim Elsadawy   +2 more
doaj   +1 more source

Combined Contrast Enhanced Mammography and Digital Breast Tomosynthesis in Patients Suspected of Having Breast Cancer: A Prospective Comparison With Digital Mammography and Breast MRI—Findings of the CONTEST Study

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Introduction We aimed to assess diagnostic performance and accuracy for local staging of CEM combined with DBT (CE + DBT) compared to digital mammography (DM) and MRI. Methods Female patients aged 18–70 years with clinical or sonographic suspicion of breast cancer had CE + DBT and breast MRI prior to treatment.
Sarah L. Savaridas, Kulsam Ali, Sarah Vinnicombe, Petra Rauchhaus, Andrew J. Evans, Nisha Sharma, Sally Bolt, Patsy Whelehan   +7 more
wiley   +1 more source

Appearance of Stabilised Hyaluronic Acid Gel on Routine Surveillance Breast Imaging When Used to Mark the Post‐Lumpectomy Tumour Bed in Breast Cancer

Journal of Medical Imaging and Radiation Oncology, EarlyView.
ABSTRACT Introduction Stabilised hyaluronic acid (sHA) gel can be used as a breast cancer tumour bed marker. This study aimed to assess the gel on post‐treatment surveillance mammography (MMG) and breast ultrasound (USS). Methods Patients who underwent breast‐conserving surgery and adjuvant radiotherapy, with sHA gel markers (0.3–0.5 mL drops) in ...
Janice Yeh, Michael Chao, Mark Tacey, Jenny Sim, Sweet Ping Ng, Farshad Foroudi, Eddie Lau   +6 more
wiley   +1 more source