Preliminary evaluation of inter- and intra-operator variability of quantitative ultrasound biomarkers for breast cancer characterization

Rosado-Méndez, Iván M.; Castañeda‐Martinez, Laura; Lopez, Jessica; Galván-Espinoza, Héctor Alejandro; Pérez-Badillo, P.; L, Aguilar-Cortázar; Porras, Francisco Kruger; Villaseñor‐Navarro, Yolanda

doi:10.1117/12.2564170

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“…From the RF signals contained within the PER, a single power spectrum was obtained from which a single backscatter coefficient was calculated. As the PER moves throughout the ROI, a 2‐dimensional array of backscatter coefficients at the center frequency was obtained, which were then assigned colors to form the parametric image 41 …”

Section: Methodsmentioning

confidence: 99%

“…As the PER moves throughout the ROI, a 2-dimensional array of backscatter coefficients at the center frequency was obtained, which were then assigned colors to form the parametric image. 41 Power spectra from the sample and the reference RF data were computed with the multitaper method. 16,38,42 The backscatter coefficient was calculated using the spectral bandwidth with energy 10 decibels above the noise floor.…”

Section: Backscatter Coefficient Calculationmentioning

confidence: 99%

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Inter‐ and Intra‐Operator Variability of Regularized Backscatter Quantitative Ultrasound for the Characterization of Breast Masses

Argueta‐Lozano,

Castañeda‐Martinez,

Bass

et al. 2023

J of Ultrasound Medicine

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ObjectivesHere we report on the intra‐ and inter‐operator variability of the backscatter coefficient (BSC) estimated with a new low‐variance quantitative ultrasound (QUS) approach applied to breast lesions in vivo.MethodsRadiofrequency (RF) echo signals were acquired from 29 BIRADS 4 and 5 breast lesions in 2 sequential cohorts following 2 imaging protocols: cohort 1) radial and antiradial views, and cohort 2) short‐ and long‐axis views. Protocol 2 was implemented after retraining and discussion on how to improve reproducibility. Each patient was scanned by at least 2 of 3 radiologists; each performed 3 acquisitions with transducer and patient repositioning in between acquisitions. BSC was estimated using a low‐variance QUS approach based on regularization. Intra‐ and inter‐operator variability of the intra‐lesion median BSC was evaluated with a multifactorial ANOVA test (P‐values) and the intraclass correlation coefficient (ICC).ResultsInter‐operator variability was only significant in the first protocol (P < .007); ICCinter = .77 (95% CI .71–.82), indicating good inter‐operator agreement. In the second protocol, the inter‐operator variability was not significant (P > .05) and agreement was excellent (ICCinter = .92 [.89–.94]). In both protocols, the intra‐operator variability was not significant.ConclusionsOur findings demonstrate the need for standardizing image acquisition protocols for backscatter‐based QUS to reduce inter‐operator variability and ensure its successful translation to the characterization of suspicious breast masses.

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Section: Methodsmentioning

confidence: 99%