Real-time coherence imaging of suspicious breast masses recommended for aspiration or biopsy

Arunima Sharma, Eduardo A. Gonzalez, Emily Ambinder, Kelly Myers, Eniola Oluyemi, Muyinatu A.Lediju Bell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Our group previously demonstrated that coherence-based imaging improves the certainty of fluid mass content in breast ultrasound images, and therefore has the potential to decrease unnecessary biopsies. However, this potential was demonstrated with post-processed raw channel data after patient examination. This work is the first to implement real-time short-lag spatial coherence (SLSC) imaging on an FDA-approved clinical ultrasound scanner to investigate a combined B-mode and coherence-based imaging approach to improve the diagnostic capabilities of breast ultrasound imaging. Real-time SLSC imaging was provided through GPU-based SLSC scripts that we developed and installed on our FDA-approved Alpinion ECUBE12R ultrasound scanner. A total of 47 hypoechoic breast masses from 32 patients were examined. First, the board-certified breast radiologists performing the patient exam predicted the mass contents and the BI-RADS category of the mass using real-time clinical B-mode images provided by the scanner. Then, the scanner was switched to present real-time SLSC images of the masses alongside real-time B-mode images, and the radiologist performing the scan repeated the predictions. The inclusion of SLSC images resulted in correct predictions of 100% of complicated cysts as BI-RADS 2 lesions (compared to 50% of complicated cysts being predicted as BI-RADS 2 lesions with only B-mode images). In addition, SLSC correctly identified presence of non-solid content in clusters of cysts, and no change in the BI-RADS category of malignant masses was observed after the inclusion of SLSC imaging. These results demonstrate the real-time potential of SLSC to decrease unnecessary biopsies by correctly identifying complicated cysts as benign fluid lesions.

Original languageEnglish (US)
Title of host publicationIUS 2023 - IEEE International Ultrasonics Symposium, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798350346459
DOIs
StatePublished - 2023
Event2023 IEEE International Ultrasonics Symposium, IUS 2023 - Montreal, Canada
Duration: Sep 3 2023Sep 8 2023

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Conference

Conference2023 IEEE International Ultrasonics Symposium, IUS 2023
Country/TerritoryCanada
CityMontreal
Period9/3/239/8/23

Keywords

  • breast imaging
  • coherence beamforming
  • real-time
  • ultrasound

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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