Improving Lesion Location Reproducibility in Handheld Breast Ultrasound

Author:

Chiu James1,Bova Davide23,Spear Georgia1,Ecanow Jacob1,Choate Alyssa1,Besson Pierre4,Caluser Calin45

Affiliation:

1. Department of Radiology, Endeavor Health, 2650 Ridge Ave, Evanston, IL 60201, USA

2. Dacia Medical Clinic, 917 S Oak Park Ave, Suite B, Oak Park, IL 60304, USA

3. Department of Radiology, Loyola University Medical Center, 2160 S First Ave, Maywood, IL 60153, USA

4. MetriTrack Inc., 4415 Harrison St., #243, Hillside, IL 60162, USA

5. Midwest Center for Advanced Imaging, Rush University Medical System, 4355 Montgomery Rd, Naperville, IL 60564, USA

Abstract

Interoperator variability in the reproducibility of breast lesions found by handheld ultrasound (HHUS) can significantly interfere with clinical care. This study analyzed the features associated with breast mass position differences during HHUS. The ability of operators to reproduce the position of small masses and the time required to generate annotations with and without a computer-assisted scanning device (DEVICE) were also evaluated. This prospective study included 28 patients with 34 benign or probably benign small breast masses. Two operators generated manual and automated position annotations for each mass. The probe and body positions were systematically varied during scanning with the DEVICE, and the features describing mass movement were used in three logistic regression models trained to discriminate small from large breast mass displacements (cutoff: 10 mm). All models successfully discriminated small from large breast mass displacements (areas under the curve: 0.78 to 0.82). The interoperator localization precision was 6.6 ± 2.8 mm with DEVICE guidance and 19.9 ± 16.1 mm with manual annotations. Computer-assisted scanning reduced the time to annotate and reidentify a mass by 33 and 46 s on average, respectively. The results demonstrated that breast mass location reproducibility and exam efficiency improved by controlling operator actionable features with computer-assisted HHUS.

Funder

Metritrack Inc.

Publisher

MDPI AG

Reference26 articles.

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5. (2023, August 16). Browse the Tables and Figures—SEER Cancer Statistics Review (CSR) 1975–2012. SEER, Available online: https://seer.cancer.gov/archive/csr/1975_2012/browse_csr.php?sectionSEL=4&pageSEL=sect_04_table.13.

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