DWI in the Differentiation of Malignant and Benign Breast Lesions Presenting with Non-Mass Enhancement on CE-MRI DOI Open Access
Iva Perić, Boris Brkljačić, Tade Tadić

et al.

Cancers, Journal Year: 2024, Volume and Issue: 17(1), P. 31 - 31

Published: Dec. 25, 2024

Objectives: This study aimed to investigate whether the apparent diffusion coefficient (ADC) maps values of breast lesions presenting as non-mass enhancement (NME) on MRI could predict benign or malignant pathohistological findings. Materials and Methods: retrospective single-center included 136 female patients with NME corresponding ultrasound correlate a subsequent ultrasound-guided core needle biopsy. The were subdivided into subgroups based pathology reports, which served gold standard. Blinded pathological results, two radiologists independently measured ADC depicted using punctate, 10 mm whole tumor regions interest (ROIs) wherever applicable. mean all measurements was also analyzed compared pathologic subdivision. Results: sensitivity ROI in detecting is 91% 74% for 78% punctate ROI. No significant differences observed when comparing fatty tissue dense tissue. Conclusions: There between findings types measurements, where most sensitive.

Language: Английский

Synergistic pH-responsive MUC-1 aptamer-conjugated Ag/MSN Janus nanoparticles for targeted chemotherapy, photothermal therapy, and gene therapy in breast cancer DOI

Adel Mahmoudi Gharehbaba,

Yadollah Omidi, Jaleh Barar

et al.

Biomaterials Advances, Journal Year: 2024, Volume and Issue: 166, P. 214081 - 214081

Published: Oct. 20, 2024

Language: Английский

Citations

9
Obesity-Associated Breast Cancer: Analysis of Risk Factors and Current Clinical Evaluation DOI
Atilla Engin

Advances in experimental medicine and biology, Journal Year: 2024, Volume and Issue: unknown, P. 767 - 819

Published: Jan. 1, 2024

Language: Английский

Citations

4
Time-dependent diffusion MRI and kinetic heterogeneity as potential imaging biomarkers for diagnosing suspicious breast lesions with 3.0-T breast MRI DOI
Xue Li,

Chunmei Li,

Bin Hua

et al.

Magnetic Resonance Imaging, Journal Year: 2025, Volume and Issue: 117, P. 110323 - 110323

Published: Jan. 5, 2025

Language: Английский

Citations

0
Determining the Diagnostic Value of DWIBS in the Diagnosis of Breast Lesions Compared to Dynamic Contrast-Enhanced MRI: A Retrospective Observational Study DOI Creative Commons
Maryam Farghadani,

Safura Mozafari,

Maryam Riahinejad

et al.

Advanced Biomedical Research, Journal Year: 2025, Volume and Issue: 14(1)

Published: Jan. 1, 2025

Background: Diffusion-weighted imaging with background body signal suppression (DWIBS) is a new tool for the diagnosis of breast lesions. This study aims to compare DWIBS contrast-enhanced magnetic resonance (CE-MRI) sequences. Materials and Methods: Eighty consecutive patients underwent both CE-MRI images. was assessed qualitatively quantitatively using apparent diffusion coefficient mapping. A threshold 1.44 × 10 -3 mm 2 /s considered as cutoff value between malignant benign images were evaluated based on combination kinetic morphological information reported Breast Imaging Reporting Data System lexicon. Statistical analysis performed sequences pathologic findings gold standard. Results: Fifty-five out 80 lesions (69%) benign, 25 (31%) have been reported. The sensitivity, specificity, positive predictive value, negative 100, 38, 42, 100%, respectively, those 77, 70, 53, 87%, respectively. By comparing data, no statistically significant difference Conclusion: can be used an effective alternative in cases contradictions IV contrast injection.

Language: Английский

Citations

0
Breast Diffusion-weighted MR Imaging: Current Applications, Insights from Screening, and Future Directions DOI Creative Commons
Nariya Cho

Magnetic Resonance in Medical Sciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Breast diffusion weighted MR imaging (DWI) is increasingly used, because it fast and easy to be added in clinical protocol without contrast agent provides information of cellularity or tissue microstructure. This review article explores the principles breast DWI, standardization acquisition techniques, its current applications. We emphasize role differentiating benign from malignant lesions, reducing unnecessary biopsies, discuss evidence supporting DWI as a potential standalone screening tool. Prognostic indicators derived parameters utility monitoring treatment responses are discussed. Finally, we look future, discussing emerging techniques. comprehensive overview DWI's status future potential.

Language: Английский

Citations

0
Retrospective BReast Intravoxel Incoherent Motion Multisite (BRIMM) multisoftware study DOI Creative Commons
Dibash Basukala, Artem Mikheev, Xiaochun Li

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: Feb. 24, 2025

The intravoxel incoherent motion (IVIM) model of diffusion weighted imaging (DWI) provides biomarkers for breast tumor characterization. It has been extensively applied both diagnostic and prognostic goals in cancer, with increasing evidence supporting its clinical relevance. However, variable performance exists literature owing to the heterogeneity datasets quantification methods. This work used retrospective anonymized MRI data (302 patients) from three sites employing different software utilizing least-squares segmented algorithms Bayesian fit estimate 1st order radiomics IVIM parameters perfusion fraction (fp ), pseudo-diffusion (Dp ) tissue diffusivity (Dt ). Pearson correlation (r) coefficients between pairs were computed while logistic regression was implemented test malignancy detection assess robustness metrics. Dt fp maps generated showed consistency across platforms Dp variable. average at Dtmin/Dtmax/Dtmean/Dtvariance/Dtskew/Dtkurt: 0.791/0.891/0.98/0.815/0.697/0.584; fpmax/fpmean/fpvariance/fpskew/fpkurt: 0.615/0.871/0.679/0.541/0.433; Dpmax/Dpmean/Dpvariance/Dpskew/Dpkurt: 0.616/0.56/0.587/0.454/0.51. Correlation highest. Dtmean highest area under ROC curve (AUC) 0.85 lowest coefficient variation (CV) 0.18% benign malignant differentiation using regression. metrics highly as well consistent along Multiple radiomic features obtained a heterogeneous multi-site lesion dataset strong and/or utility, their potential consideration controlled prospective trials.

Language: Английский

Citations

0
Integrated Computational and Experimental Insights Into MEK1/2 Inhibitors: Structural Validation, Docking, ADMET, Molecular Dynamics, and Anticancer Evaluation DOI Open Access
Rohit Pal, Gurubasavaraja Swamy Purawarga Matada, Ghanshyam Teli

et al.

Chemistry & Biodiversity, Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

This study explores the therapeutic potential of novel MEK1/2 inhibitors targeting MAPK pathway, emphasizing their critical role in cancer progression. An integrated computational approach, including molecular docking, pharmacophore modeling, dynamics simulations, and DFT analysis, was employed to evaluate binding affinity, stability, pharmacological properties FDA-approved experimental compounds. Structural validation MEK1 (PDB ID: 1S9J) MEK2 1S9I) revealed z-scores -6.89 -7.13, respectively, with 90.6% 86.7% residues most favored regions, confirming reliability protein models. Docking studies identified RO5126766 as a lead compound, exhibiting energies -10.1 kcal/mol -9.5 MEK2. Molecular simulations further demonstrated stability RO5126766-MEK1 RO5126766-MEK2 complexes, RMSD values ranging from 0.95 4.22 Å. The vitro anticancer assays highlighted exceptional potency RO5126766, IC50 12.87 ± 98.36 nM against MCF-7 (hormone receptor-positive breast cancer), 15.08 94.36 MDA-MB-231 (triple-negative 60.89 70.58 A549 (lung cancer). ADMET analysis confirmed high gastrointestinal absorption, favorable drug-likeness, lack blood-brain barrier permeability. In addition, indicated an optimal HOMO-LUMO energy gap (0.15816 eV), chemical hardness (0.16189 strong interactions corroborated by MEP analysis. Collectively, these findings establish potent selective inhibitor, demonstrating significant targeted agent for aggressive treatment-resistant cancers.

Language: Английский

Citations

0
MRI features and apparent diffusion coefficient histogram-based nomogram for classifying MRI-only suspicious breast lesions DOI
Xue Li, Lei Jiang,

Jiayin Gao

et al.

Clinical Breast Cancer, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions DOI Creative Commons

Yangping Yang,

Jiong Liu, Jian Shu

et al.

BMC Medical Imaging, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 11, 2025

Language: Английский

Citations

0
Effect of Phase Encoding Direction on Image Quality in Single‐Shot EPI Diffusion‐Weighted Imaging of the Breast DOI Creative Commons
Ana E. Rodríguez‐Soto, Jingjing Zou, Stéphane Loubrie

et al.

Journal of Magnetic Resonance Imaging, Journal Year: 2024, Volume and Issue: 60(4), P. 1340 - 1349

Published: Feb. 28, 2024

Background In breast diffusion‐weighted imaging (DWI), distortion and physiologic artifacts affect clinical interpretation. Image quality can be optimized by addressing the effect of phase encoding (PE) direction on these artifacts. Purpose To compare in DWI acquired with different PE directions polarities, to discuss their implications. Study Type Prospective. Population Eleven healthy volunteers (median age: 47 years old; range: 22–74 old) a phantom. Field Strength/Sequence Single‐shot echo planar three‐dimensional fast gradient sequences at 3 T. Assessment All data were left–right, right–left, posterior–anterior, anterior–posterior directions. phantom data, displacement magnitude was evaluated comparing location landmarks anatomical images. Three radiologists (5, 17, 23 experience) assessed presence or absence volunteers' datasets indicated PE‐direction preference. Statistical Tests Analysis variance post‐hoc tests used assess differences across observers. A binomial test chi‐squared evaluate if each vivo dataset had an equal probability (25%) being preferred radiologists. Inter‐reader agreement using Gwet's AC1 coefficient. P ‐value <0.05 considered statistically significant. Results study, median significantly largest posterior–anterior data. While left–right equivalent ( = 0.545). there no physiological observed any dataset, regardless direction. reader significant preference for which selected 94% time. There good between readers (0.936). Data Conclusion This study showed impact DWI. volunteers, posterior‐to‐anterior readers. Level Evidence 2 Technical Efficacy Stage 1

Language: Английский

Citations

1