Results 51 to 60 of about 4,951,265 (148)

Identification of a Circular RNA as a Potential Diagnostic and Prognostic Biomarker in Breast Cancer Through Integrated Bioinformatic and Experimental Analyses

Analytical Science Advances, Volume 7, Issue 2, December 2026.
Forty circular RNAs were found to be significantly dysregulated in microarray datasets. Expression levels of hsa_circ_0000231 were significantly upregulated in breast cancer (BC) tissues, while hsa_circ_0011385 exhibited no significant difference in expression levels. This study also revealed that hsa_circ_0000231/hsa‐miR‐5683/CCNB1 regulatory axis may
MohamadReza Hashemi, Pejman Morovat, Azin Khoshghiafeh, Novin Nikbakhsh, Mohamadreza Ahmadifard   +4 more
wiley   +1 more source

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar, Farida Siddiqi Prity, Farhad Hussain, Anup Talukder, Mirza Raquib, Sharmina Rahman, MD Jiabul Hoque   +6 more
wiley   +1 more source

The added role of contrast-enhanced spectral mammography in the evaluation of pathological nipple discharge

The Egyptian Journal of Radiology and Nuclear Medicine, 2022
Background Nipple discharge is one of the commonest encountered complaints in the field of breast imaging. Excluding malignancy as a cause of pathological nipple discharge is of utmost importance.
Sherihan Fakhry, Rasha Wessam Abdel Rahman, Hanan Shawky Shaalan, Maher Hassan Ibraheem Hassan, Safy Hosny Tealab, Safia Badr Sayed   +5 more
doaj   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

Potential Association of BRCA Mutation and Lymphocytic Lobulitis

Clinical Case Reports, Volume 14, Issue 11, November 2026.
ABSTRACT Lymphocytic lobulitis (LL) is a rare fibroinflammatory breast lesion historically associated with long‐standing Type 1 diabetes mellitus and autoimmune conditions. Recent evidence suggests possible links between LL and hereditary breast cancer syndromes, particularly BRCA mutations. We present the case of a BRCA1 mutation carrier who developed
Parul Garg, Sena Park, Femi E. Ayeni, Senarath Edirimanne   +3 more
wiley   +1 more source

Quantitative Breast Density in Contrast-Enhanced Mammography

, 2021
Contrast-enhanced mammography (CEM) demonstrates a potential role in personalized screening models, in particular for women at increased risk and women with dense breasts. In this study, volumetric breast density (VBD) measured in CEM images was compared
Francesca Caumo, Melissa L. Hill, Gisella Gennaro, Elisabetta Bezzon   +3 more
core   +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, Volume 64, Issue 5, Page 1346-1360, November 2026.
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

Contrast-enhanced spectral mammography in clinical practice:results in a screening population [PDF]

, 2016
This dissertation studies a new method to detect breast cancer called Contrast Enhanced Spectral Mammography (CESM). Abnormal breast tissue can be detected with CESM by administering intravenous iodinated contrast.
Lalji, Ulrich, Ulrich Lalji
core   +1 more source

Contrast-enhanced spectral mammography improves diagnostic accuracy in the symptomatic setting [PDF]

, 2016
Aim. To assess the diagnostic accuracy of Contrast Enhanced Spectral Mammography (CESM), and gauge its “added value” in the symptomatic setting. Methods. At our institution, women aged 35-70 years with a suspicious or malignant clinical abnormality are
Yan Chen (1254246), Lisa J. Hamilton (7168406), Constantine Girio-Fragoulakis (7168898), Sarah L. Tennant (7168409), Helen C. Burrell (7168403), Jonathan James (3437447), Eleanor J. Cornford (7168391)   +6 more
core   +5 more sources

Radiation dose analysis of contrast-enhanced spectral mammography

Zhongguo aizheng zazhi, 2017
Background and purpose: Contrast-enhanced spectral mammography (CESM) is a new technology introduced in recent years, and a technique based on conventional mammography. The radiation dose of the CESM was analyzed by comparing the average gland dose (AGD)
沈茜刚, 周良平, 郑晓静
doaj