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Purpose: A meta-analysis was conducted to evaluate the diagnostic performance of contrast-enhanced ultrasonography using the contrast agent SonoVue to differentiate benign from malignant breast lesions.
Method: A comprehensive search of the literature was performed using the Embase, PubMed, and Web of Science databases to retrieve studies published before February 2020. Data were extracted, and pooled sensitivity, specificity, and diagnostic odds ratios were calculated with meta-analysis software. Heterogeneity was evaluated via the Q test and statistic. Meta-regression and subgroup analyses were applied to evaluate potential sources of heterogeneity. Publication bias was assessed using the Deeks' funnel plot asymmetry test. A summary receiver operating characteristic curve (SROC) was constructed.
Results: A total of 27 studies including 5378 breast lesions subjected to CEUS examination with SonoVue were included in the meta-analysis. The pooled sensitivity and specificity values were 0.90 (95% confidence interval [CI], 0.88-0.91; inconsistency index [] = 75.7%) and 0.83 (95% CI, 0.82-0.85; = 91.0%), respectively. The pooled diagnostic odds ratio was 48.35% (95% CI, 31.22-74.89; = 77.6%). The area under the summary receiver operating characteristic curve (AUC) was 0.9354. Meta-regression analysis revealed the region of patient residence and dose of contrast agent as potential sources of heterogeneity (P < .01). Subgroup analysis showed a higher area under the summary receiver operating characteristic curve for European and higher contrast agent dose subgroups (P < .05).
Conclusion: Contrast-enhanced ultrasonography with SonoVue displays high sensitivity, specificity, and accuracy when differentiating benign from malignant breast lesions. Despite its current limitations, this technique presents a promising tool for diagnosing breast lesions in clinical practice.
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http://dx.doi.org/10.1177/1533033820971583 | DOI Listing |
Int J Dermatol
September 2025
Dermatology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Introduction: Cutaneous scalp metastases from breast carcinoma (CMBC) represent an uncommon manifestation of metastatic disease, with heterogeneous clinical presentations, including nodular or infiltrative lesions and scarring alopecia (alopecia neoplastica). The absence of standardized diagnostic criteria, particularly for alopecic phenotypes, poses challenges to early recognition of CMBC, which may represent either the first indication of neoplastic progression or a late recurrence.
Materials And Methods: We retrospectively analyzed a multicenter cohort of 15 patients with histologically confirmed CMBC.
Cureus
August 2025
Medicine, Academy of Silesia, Katowice, POL.
We present the case of a 45-year-old Caucasian woman diagnosed with synchronous bicentric breast cancer of differing molecular phenotypes in the same breast. The first tumor, an invasive ductal carcinoma (G1), was estrogen and progesterone receptor-positive and HER2-negative, with a low proliferative index (Ki67 10%). A second lesion, located in a different quadrant and appearing within weeks after biopsy, exhibited a triple-negative phenotype and a higher proliferative index (Ki67 30%).
View Article and Find Full Text PDFMed Phys
September 2025
Department of Radiology, Stony Brook University, New York, USA.
Background: In contrast-enhanced digital mammography (CEDM) and contrast-enhanced digital breast tomosynthesis (CEDBT), low-energy (LE) and high-energy (HE) images are acquired after injection of iodine contrast agent. Weighted subtraction is then applied to generate dual-energy (DE) images, where normal breast tissues are suppressed, leaving iodinated objects enhanced. Currently, clinical systems employ a dual-shot (DS) method, where LE and HE images are acquired with two separate exposures.
View Article and Find Full Text PDFMed Phys
September 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China.
Background: In catheter-based radiofrequency ablation (RFA), energy is delivered to heterogeneous thin-walled tissues to induce therapeutic heating. Variations in electrical and mechanical properties of tissue contents have a great effect on outcomes.
Purpose: The objective of this study is to develop models that replicate tissue heterogeneity and visualize ablation zones for effective evaluation and optimization.
Eur J Radiol
August 2025
Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Purpose: To evaluate whether AI-assisted ipsilateral tissue matching in digital breast tomosynthesis (DBT) reduces localization errors beyond typical tumor boundaries, particularly for non-expert radiologists. The technology category is deep learning.
Materials And Methods: The study consisted of two parts.