Search Results - "Fallenberg, E.M."

Comparative Study of Acute Toxicity and the Quantification of Cellular Effects Following Experimental Exposure to Gadolinium-Based Contrast Agents on the Planktonic Species Artemia sp. (Crustacea, Branchiopoda) Larvae.

Authors: Mihai, Florența Schröder, Verginica Rãu, Ileana et al.

Source: Water (20734441). Jul2026, Vol. 18 Issue 13, p1614. 19p.

Ground-Glass Enhancement on Contrast-Enhanced Mammography: A CT-Inspired Qualitative Descriptor for Breast Lesion Characterization.

Authors: Nicosia, Luca Mariano, Luciano Mallardi, Carmen et al.

Source: Journal of Clinical Medicine. Feb2026, Vol. 15 Issue 3, p999. 11p.

A Deep Learning Model Integrating Ultrasound Images and Multidimensional Clinical Information for Differentiating Benign and Malignant Non-Mass Lesions.

Authors: Huang, Weixian Xie, Zhiyu Mo, Zixuan et al.

Source: Diagnostics (2075-4418). May2026, Vol. 16 Issue 9, p1380. 17p.

Prospective Pilot Study of Ultrasound Resolution Microscopy Imaging (URM) for Differentiating Benign and Malignant Breast Lesions: A Quantitative Microvascular Parameter Analysis.

Authors: Li, Fan Xu, Nuo Wu, Jun et al.

Source: Diagnostics (2075-4418). Apr2026, Vol. 16 Issue 8, p1119. 15p.

Effectiveness of Contrast-Enhanced Spectral Mammography Following Contrast-Enhanced Computed Tomography in Breast Cancer Diagnosis.

Authors: Tasdelen, Iksan Gunkan, Ahmet Soylu, Fatma Nur

Source: Diagnostics (2075-4418). Apr2026, Vol. 16 Issue 7, p1062. 14p.

Ductoscopy Facilitates Surgical Decision-Making in Management of Patients with Pathological Nipple Discharge †.

Authors: Aliyev, Vusal Turkyılmaz, Zeliha Özkurt, Enver et al.

Source: Diagnostics (2075-4418). Mar2026, Vol. 16 Issue 6, p856. 15p.

Clinical Performance of Contrast-Enhanced Mammography Versus Breast MRI in Women at Increased Breast Cancer Risk.

Authors: Gennaro, Gisella Baldan, Enrica Bednarova, Iliana et al.

Source: Cancers. Mar2026, Vol. 18 Issue 5, p759. 17p.

Is There a Microbiological Basis for Increased Breast Cancer Risk in Women with High Mammographic Density?

Authors: Sample, Jack W. Redaelli, Matteo Chen, Jun et al.

Source: Applied Microbiology (2673-8007). Mar2026, Vol. 6 Issue 3, p39. 9p.

Contrast-Enhanced Mammography vs. Breast MRI for Assessing Neoadjuvant Chemotherapy Response: A Prospective Clinical Comparison Study.

Authors: Acar, Omer Açar, Çağdaş Rıza Orguc, İhsan Sebnem et al.

Source: Diagnostics (2075-4418). Feb2026, Vol. 16 Issue 4, p640. 11p.

Diagnostic Performance of Artificial Intelligence in Predicting Malignant Upgrade of B3 Breast Lesions: Systematic Review and Meta-Analysis.

Authors: Ferre, Romuald Kuzmiak, Cherie M.

Source: Diagnostics (2075-4418). Jan2026, Vol. 16 Issue 1, p75. 10p.

Preoperative Breast MRI and Histopathology in Breast Cancer: Concordance, Challenges and Emerging Role of CEM and mpMRI.

Authors: Giannakaki, Aikaterini-Gavriela Giannakaki, Maria-Nektaria Baroutis, Dimitris et al.

Source: Diagnostics (2075-4418). Dec2025, Vol. 15 Issue 23, p3032. 19p.

Ultrasound-Guided Vacuum-Assisted Excision (VAE) in Breast Lesion Management: An Experimental Comparative Study of Two Different VAE Devices Across Various Aspiration Levels and Window Sizes.

Authors: Carriero, Serena Cè, Maurizio Pavan, Matilde et al.

Source: Diagnostics (2075-4418). Feb2025, Vol. 15 Issue 3, p272. 12p.

A Machine Learning Approach for Breast Cancer Risk Prediction in Digital Mammography †.

Authors: Angelone, Francesca Ponsiglione, Alfonso Maria Ricciardi, Carlo et al.

Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10315, 15p

Density-Aware Multi-Dataset Evaluation of Deep Learning for Mammographic Mass Detection and BI-RADS Classification.

Authors: Zepeda-Reyes, Hector E. Peregrina-Barreto, Hayde Lopez-Armas, Gabriela C.

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2080. 25p.

AI-Driven Biopsychosocial Screening for Breast Cancer: Enhancing Risk Prediction via Differential Evolutionary Linear Discriminant Analysis for Feature Extraction.

Authors: Llaguno-Roque, José Luis López-Lobato, Adriana Laura Pérez-Arriaga, Juan Carlos et al.

Source: Mathematical & Computational Applications. Jun2026, Vol. 31 Issue 3, p66. 26p.

Innovative Applications of Nanopore Technology in Tumor Screening: An Exosome-Centric Approach.

Authors: Chi, Heng Shi, Liuxin Gan, Songlin et al.

Source: Biosensors (2079-6374); Apr2025, Vol. 15 Issue 4, p199, 23p

Influence of Complete Lesion Removal During Vacuum-Assisted Breast Biopsy on the Upgrade Rate of B3 Lesions Presenting as Microcalcifications.

Authors: Irmici, Giovanni Depretto, Catherine Pinto, Alessandra et al.

Source: Journal of Clinical Medicine. Mar2025, Vol. 14 Issue 5, p1513. 14p.

Artificial Intelligence-Driven Personalization in Breast Cancer Screening: From Population Models to Individualized Protocols.

Authors: Pesapane, Filippo Nicosia, Luca D'Amelio, Lucrezia et al.

Source: Cancers. Sep2025, Vol. 17 Issue 17, p2901. 19p.

The Effectiveness of Semi-Supervised Learning Techniques in Identifying Calcifications in X-ray Mammography and the Impact of Different Classification Probabilities.

Authors: Sakaida, Miu Yoshimura, Takaaki Tang, Minghui et al.

Source: Applied Sciences (2076-3417); Jul2024, Vol. 14 Issue 14, p5968, 15p

From Standard Establishment to Precision Intelligence: Research Progress in Quality Control of Mammography.

Authors: Du, Hongyang Zhou, Yuxi Ma, Mingming et al.

Source: Diagnostics (2075-4418). Mar2026, Vol. 16 Issue 5, p651. 15p.