Title
Differentiating Malignant from Benign Breast Masses in Women, in Vivo, Using VisR-Assessed Mechanical Anisotropy
Date Issued
07 September 2020
Access level
metadata only access
Resource Type
conference paper
Author(s)
Moore C.J.
Steed D.
Merhout J.
Caughey M.
Kirk S.R.
Hartman T.S.
Kuzmiak C.M.
Gallippi C.M.
University of North Carolina
Publisher(s)
IEEE Computer Society
Abstract
Differentiating malignant from benign breast lesions remains a challenge that may be met by a new imaging biomarker: lesion-to-background mechanical anisotropy assessed by VisR ultrasound. VisR is an ultrasound imaging method that uses 2 consecutive acoustic radiation force excitations, separated in time and delivered to the same region of excitation, to directionally interrogate peak displacement (PD), relative elasticity (RE), and relative viscosity (RV). From these directional measurements, mechanical degree of anisotropy is measured. In a pilot clinical study involving 29 women with BIRADS-4 or -5 breast masses, VisR PD, RE, and RV were measured in lesions and in surrounding tissue at 0°, 30°, 60°, and 90° concentric orientations. From these measurements, lesion DoA (LDoA), surrounding tissue DoA (SDoA), and log(LDoA/SDoA) were assessed per parameter and compared between biopsy-confirmed malignant versus benign masses. Across all patients, PD-, RE-, and RV-based LDoA or SDoA alone did not achieve statistical difference between malignant and benign masses (Wilcoxon, mathrm{p} > 0.05). However, PD-, RE-, and RV-based log(LDoA/SDoA) statistically differentiated malignant from benign masses (Wilcoxon, mathrm{p} < 0.01), with AUC values of 0.96 for PD-based, and 0.94 for RE- and RV-based outcomes. These results demonstrate the relevance of lesion-to-background mechanical anisotropy assessed by VisR ultrasound for differentiating malignant from benign breast masses in women, in vivo.
Volume
2020-September
Language
English
OCDE Knowledge area
Tecnología médica de laboratorio (análisis de muestras, tecnologías para el diagnóstico)
Radiología, Medicina nuclear, Imágenes médicas
Subjects
Scopus EID
2-s2.0-85097869755
ISSN of the container
19485719
ISBN of the container
978-172815448-0
Conference
IEEE International Ultrasonics Symposium, IUS
Sponsor(s)
This study was supported in part by NIH grants R01HL092944, R01NS074057, R01DK107740, K02HL105659, and T32HL069768.
Sources of information:
Directorio de Producción Científica
Scopus