Purpose: Our study was performed to obtain additional information regarding the present diagnostic approaches in breast tumor diagnosis by investigating tumor vessels. We present a new method that helps to capture the morphologic features from power Doppler ultrasound images using a computer-aided system facilitating pixel relation analysis techniques in the region of interest (ROI).
Materials And Methods: 45 solid breast tumors, including 18 benign and 27 malignant histologically proven cases, were studied using quantitative and qualitative parameters with extracted three-dimensional (3D) diagrams. We focused on pixel counting and on physiologic and pathophysiologic vascular analysis over time. P values less than 0.05 using the Wilcoxon, Mann and Whitney's U-test were deemed statistically significant.
Results: One of the two quantitative values, the color range, showed a statistical significance for distinguishing between benign and malignant lesions by counting more pixels in malignant cases. We detected differences in the blood flow dynamics with a characteristic flow texture in 89 % of benign lesions and periodic oscillations which were identified with a diagnostic accuracy of 78 % in malignant cases.
Conclusion: The preliminary results show that the proposed method using power Doppler imaging is feasible and can aid in the classification of breast tumors as benign or malignant.
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http://dx.doi.org/10.1055/s-2008-1027706 | DOI Listing |
J Transl Med
January 2025
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Background: HER2-targeted therapies have revolutionized the treatment of HER2-positive breast cancer patients, leading to significant improvements in tumor response rates and survival. However, resistance and incomplete response remain considerable challenges. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibition is a novel therapeutic strategy for the management of dyslipidemia by enhancing the clearance of low-density lipoprotein cholesterol receptors, however recent evidence also shows links between PCSK9 and cancer cells.
View Article and Find Full Text PDFJMIRx Med
January 2025
Department of Biochemistry and Medical Genetics, Cancer Center, University of Illinois Chicago, 900 s Ashland, Chicago, IL, 60617, United States, 1 8479124216.
Background: The causes of breast cancer are poorly understood. A potential risk factor is Epstein-Barr virus (EBV), a lifelong infection nearly everyone acquires. EBV-transformed human mammary cells accelerate breast cancer when transplanted into immunosuppressed mice, but the virus can disappear as malignant cells reproduce.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science and Engineering, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (State Technological University of Madhya Pradesh), Madhya Pradesh, Bhopal, 462033, India.
The most common carcinoma-related cause of death among women is breast cancer. Early detection is crucial, and the manual screening method may lead to a delayed diagnosis, which would delay treatment and put lives at risk. Mammography imaging is advised for routine screening to diagnose breast cancer at an early stage.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Combining 3D cultures such as tumor spheroids and organoids with spatial omics holds great potential for tissue biology and cancer research. Yet, this potential is presently limited by technical and financial challenges of spatial omics methods and 3D cultures. To address this, we combine dye diffusion, the Smart-seq3xpress protocol for deep single-cell gene expression profiling, and dedicated probabilistic inference methods into diffusion Smart-seq3 (Smart-seq3D), to reveal the transcriptome of single cells along with their position along the core-periphery axis of spheroids.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Mechanisms related to tumor evasion from NK cell-mediated immune surveillance remain enigmatic. Dickkopf-1 (DKK1) is a Wnt/β-catenin inhibitor, whose levels correlate with breast cancer progression. We find DKK1 to be expressed by tumor cells and cancer-associated fibroblasts (CAFs) in patient samples and orthotopic breast tumors, and in bone.
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