ArticleRadiology advances2025
Generalized contrast-to-noise ratio applied to short-lag spatial coherence ultrasound differentiates breast cysts from solid masses.
Article in Radiology advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07206888 (Advanced Ultrasound Beamforming Methods for Breast Imaging), which is not on this map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Advanced Ultrasound Beamforming Methods for Breast Imaging
Who cites it
2 citing papers in PubMed.
- AutoSOUL: Deep Convolutional Neural Network for Autonomous Selection of Ultrasound Speckle Tracking Parameters.IEEE transactions on ultrasonics · 2026Article
- Spatial Coherence-Based Sound Speed Estimation in Plane Wave Ultrasound Imaging.IEEE transactions on ultrasonics · 2026Article
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Authors and funding
10 authors.
Funding
Abstract
Background: Benefits of ultrasound in breast cancer detection are often limited by the similar appearance of complicated cysts and solid hypoechoic masses with B-mode imaging, which can lead to false positive diagnoses. Purpose: To evaluate the diagnostic performance of generalized contrast-to-noise ratio (gCNR) on short-lag spatial coherence (SLSC) ultrasound images as an objective tool to improve complicated cyst vs solid mass classification. Materials and Methods: For this secondary analysis of a prospective recruitment for the Advanced Ultrasound Signal Processing of Suspicious Breast Images (AUSPICIOUS) observational study (NCT07206888), women scheduled for ultrasound-guided procedures or follow-up of at least 1 breast mass were enrolled from March 2018 to October 2023. Raw ultrasound data were acquired with an Alpinion ECUBE12R research scanner, then post-processed with our custom software. The primary evaluation indicator was gCNR applied to SLSC images with regions of interest determined by 6 radiologists. Outcomes were compared to the same radiologists classifying mass contents as solid, fluid, mixed, or uncertain using B-mode images. The reference standard was determined by aspiration, pathology, or characterization of image features. Areas under receiver operating characteristic curves (AUCs) with 95% confidence intervals (CIs) and inter-reader agreement (Fleiss' Results: Among 175 cases, 145 breast masses from 115 women (age: 52 ± 17 years) were analyzed, including 16 complicated cysts and 96 solid masses. The mean AUC for complicated cyst vs solid mass characterization was 0.96 (95% CI: 0.94, 0.97) with gCNR applied to SLSC images, relative to a mean lower-bound AUC of 0.67 (range: 0.54-0.76) with readings of B-mode images ( Conclusion: Applying an objective gCNR metric to SLSC images improved the differentiation of complicated cysts from solid masses when compared to subjective readings of B-mode images.
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Registered trials
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