Generalized contrast-to-noise ratio applied to short-lag spatial coherence ultrasound differentiates breast cysts from solid masses

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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Publication Details

Journal
Radiology Advances
Published
2025-10-22
DOI
https://doi.org/10.1093/radadv/umaf037
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Generalized contrast-to-noise ratio applied to short-lag spatial coherence ultrasound differentiates breast cysts from solid masses

Madhavi Tripathi, Muyinatu A. Lediju Bell, Lisa A. Mullen, Babita Panigrahi et al.
Radiology Advances
AI in cancer detection
article

Generalized contrast-to-noise ratio applied to short-lag spatial coherence ultrasound differentiates breast cysts from solid masses

Madhavi Tripathi, Muyinatu A. Lediju Bell, Lisa A. Mullen, Babita Panigrahi, Joanna Rossi, Eniola Oluyemi, Emily B. Ambinder, Kelly S. Myers, Arunima Sharma, Nethra Venkatayogi
article en

Abstract

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.

Radiology AdvancesVol. 2(6)
Johns Hopkins University (US), Johns Hopkins Medicine (US), Johns Hopkins Hospital (US)
Openalex Percentile: Top 84%
AI in cancer detection
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