Predictive value of elastography (Shear-Wave and Elasticity Index) in differentiating benign from malignant breast lesions: a retrospective study in Peru

Gaston (Wilmer) Mendoza; Nancy Muñoz; Jorge Aguilar; Jorge Ayón; Diana Díaz-Llontop; Samantha Mendoza; Claudia Quiñones; Richard Castillo; Luis Taxa

doi:10.2478/raon-2026-0018

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Predictive value of elastography (Shear-Wave and Elasticity Index) in differentiating benign from malignant breast lesions: a retrospective study in Peru

Radiology and Oncology

Volume 60 (2026): Issue 2 (June 2026)

By: Gaston (Wilmer) Mendoza, Nancy Muñoz, Jorge Aguilar, Jorge Ayón, Diana Díaz-Llontop, Samantha Mendoza, Claudia Quiñones, Richard Castillo and Luis Taxa

Open Access

|Apr 2026

Figures & Tables

Representative shear-wave elastography image of a BI-RADS 4B breast lesion. Grayscale ultrasound image (left) and corresponding shear-wave elastography map (right) of a BI-RADS 4B breast lesion. The region of interest (ROI) is manually traced along the lesion margins on B-mode imaging. The elastography map shows intermediate stiffness with focal areas of increased rigidity surrounding the lesion, depicted by green to yellow colour coding, without the marked high-stiffness dominance seen in higher-suspicion categories. Quantitative measurements demonstrate a moderate mean SWE value (Emean ≈ 35.5 kPa), illustrating the role of SWE in refining risk stratification within intermediate-suspicion BI-RADS subcategories. Individual SWE values may vary within BI-RADS subcategories; this representative BI-RADS 4B case illustrates moderate mean stiffness with focal areas of increased rigidity, consistent with the heterogeneous nature of this category.

Representative shear-wave elastography image of a BI-RADS 4C breast lesion. Grayscale ultrasound (left) and corresponding shear-wave elastography (right) of a BI-RADS 4C breast lesion. The region of interest (ROI) is manually delineated along the lesion margins. The elastography map demonstrates marked stiffness heterogeneity with focal areas of increased rigidity (red–orange colour scale). Quantitative measurements show an elevated mean SWE value (Emean ≈ 49.9 kPa) and high maximum stiffness, findings consistent with a high suspicion for malignancy and illustrating the added diagnostic value of SWE in advanced BI-RADS subcategories.

Receiver operating characteristic (ROC) curves for shear wave elastography (SWE) and the elastography index. ROC curves comparing the diagnostic performance of SWE (blue line) and the elastography index (red line) for distinguishing malignant from benign breast lesions. The diagonal dashed line represents the reference line of no discrimination. Both parameters demonstrated discriminative ability above chance, with SWE showing a greater area under the curve (AUC = 0.768) than the elastography index (AUC = 0.725), indicating superior overall diagnostic performance.

Spearman correlation between tumor size and elastography parameters

Parameter	Spearman’s ρ	p value	R² (%)
Elastography Index	0.226	0.002	5.1
Shear-WaveElastography (SWE, kPa)	0.250	0.001	6.3

Area under the ROC curve (AUC) for elastography parameters

Parameter	AUC	SE	p value*	95% CI (Lower-Upper)
Elastog raphy Index	0.725	0.059	0.001	0.610-0.840
SWE (kPa)	0.768	0.056	< 0.001	0.659-0.877

Diagnostic performance of elastography parameters

SWE	Diagnostic		Sensitivity (%)	Specificity (%)	PPV(%)	N PV(%)
SWE	Malignant (n = 54)	Benign (n = 31)	Sensitivity (%)	Specificity (%)	PPV(%)	N PV(%)
≥ 47.50 kPa	43	10	79.6	67.7	81.1	65.6
< 47.50 kPa	11	21	79.6	67.7	81.1	65.6
Elasticity index
≥ 2.25	36	9	66.7	71.0	80.0	55.0
< 2.25	18	22
Total	54	31

Elastography measurements according to BI-RADS 4A and 4B subcategories

Parameter	BI-RADS 4aMedian [Q1-Q3]	BI-RADS 4bMedian [Q1-Q3]	p value*
Shear-Wave Elastography (SWE), kPa	38.0 [29.5–39.5]	45.0 [39.0–50.0]	< 0.001
Elastography Index	1.60 [1.20–2.05]	1.90 [1.50–2.20]	0.030

Binary logistic regression for predictors of malignancy

Parameter	B	p value	ORc (95% CI)	p value	ORa (95% CI)
Age(years)	0.110	< 0.001	1.117(1.060–1.176)	0.004	1.108(1.033–1.187)
Tumor size(mm)	–0.025	0.074	0.976(0.949–1.002)	0.122	0.967(0.928–1.009)
Shear-Waveleft	0.102	< 0.001	1.107(1.047–1.171)	0.793	0.846(0.242–2.958)
ElastographyIndex	1.278	0.001	3.588(1.648–7.813)	0.106	1.085(0.983–1.198)
UltrasoundBI-RADS	1.459	< 0.001	4.304(2.411–7.683)	0.007	2.932(1.343–6.400)

Spearman’s Rho correlation between lesion characteristics and elastography measurements

Rho de Spearman			Elasticity index	SWE (kPa)
Lesion size (mm)	Spearman’s ρ	1.000	0.226	0.250
	p - value		0.002	0.001
	N	189	188	189
Lesion depth	Spearman’s ρ	1.000	-0.037	0.102
	p - value		0.622	0.176
	N	177	176	177

Comparison of elastography values according to histopathological diagnosis

Histopathological Diagnosis
	Benign (n = 31)Median; [Q1-Q3]	Malignant (n = 54)Median; [Q1-Q3]	p value
Elasticity index	1.9; [1.4–2.5]	2.5; [2–2.8]	0.001
Shear-Wave Elastography (SWE, kPa)	43; [36–49]	53; [48–59]	0.000

Binary logistic regression model excluding age

Parameter	B	p value	Adjusted OR (ORa)	95% CI (Lower)	95% CI (Upper)
Elastography Index	0.671	0.117	1.955	0.846	4.521
SWE (kPa)	0.079	0.011	1.082	1.018	1.150

Bootstrap validation of optimal cut-off points for elastography parameters

Method	Original cut-off	Bootstrap mean	Bootstrap 95% CI	Coefficient of Variation
SWE (kPa)	47.5	47.49	40.5-51.5	4.7%
Elastography Index	2.25	2.054	1.6-2.367	13.0%

Binary logistic regression model using clinically selected variables

Parameter	B	p value	Adjusted OR (ORa)	95% CI (Lower)	95% CI (Upper)
Age (years)	0.110	< 0.001	1.117	1.054	1.783
Elastography Index	0.422	0.435	1.524	0.530	4.389
SWE (kPa)	0.094	0.016	1.099	1.017	1.186

Clinical and radiological characteristics of the cohort

Variable	n (189)	%/Median (IQR)
Age (years)	58 (48-68)	—
Family history of cancer
Yes	42	22.22
No	140	74.07
Not declared	7	3.70
Lesion laterality
Right	83	43.90
Center	106	56.10
Previous mammography	189
Yes	134	70.90
No	55	29.10
Ultrasound BI-RADS category
4A	21	11.10
4B	70	37.00
4C	16	8.50
5	82	43.40
Ultrasound tumor size (mm)	20 (17-28)	—
Lesion depth	16 (12-20)
Elasticity index	2.57 (2-3)	—
Shear-Wave Elastography (SWE, kPa)	54 (49-59)	—
Histopathological diagnosis	85
Malignant	54	63.50
Benign	31	36.50
Breast cancer subtype	n = 35
Luminal A	7	20.00
Luminal B	22	62.90
HER2-positive	4	11.40
Triple negative	2	5.70
Histological grade	2 (2-3)	—

Relationship between BI-RADS category and elastography measurements

Ultrasound BI-RADS	SWE (kPa)Median (IQR)	p value*	Elasticity indexMedian (IQR)	p value*
4A	38; [29.5–39.5]	0.001	1.6; [1.2–2.05]	0.001
4B	45.5; [39–50]		1.9; [1.5–2.20]
4C	48; [38–55]		2.55; [2–2.80]
5	59; [49–60]		2.7; [2.15–2.80]

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DOI: https://doi.org/10.2478/raon-2026-0018 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099

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Language: English

Page range: 204 - 216

Submitted on: Dec 17, 2025

Accepted on: Feb 4, 2026

Published on: Apr 16, 2026

Published by: Association of Radiology and Oncology

In partnership with: Paradigm Publishing Services

Keywords:

breast elastography,

shear wave elastography,

elasticity index,

BI-RADS,

breast neoplasms,

diagnostic ultrasonography,

Related subjects:

© 2026 Gaston (Wilmer) Mendoza, Nancy Muñoz, Jorge Aguilar, Jorge Ayón, Diana Díaz-Llontop, Samantha Mendoza, Claudia Quiñones, Richard Castillo, Luis Taxa, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 60 (2026): Issue 2 (June 2026)

Predictive value of elastography (Shear-Wave and Elasticity Index) in differentiating benign from malignant breast lesions: a retrospective study in Peru

Figures & Tables

FIGURE 1.

FIGURE 2.

FIGURE 3.

Spearman correlation between tumor size and elastography parameters

Area under the ROC curve (AUC) for elastography parameters

Diagnostic performance of elastography parameters

Elastography measurements according to BI-RADS 4A and 4B subcategories

Binary logistic regression for predictors of malignancy

Spearman’s Rho correlation between lesion characteristics and elastography measurements

Comparison of elastography values according to histopathological diagnosis

Binary logistic regression model excluding age

Bootstrap validation of optimal cut-off points for elastography parameters

Binary logistic regression model using clinically selected variables

Clinical and radiological characteristics of the cohort

Relationship between BI-RADS category and elastography measurements

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