Value of sonoelastography for diagnosis of breast non-mass lesions and comparison with BI-RADS: A systematic review and meta-analysis.
Medicine (Baltimore)
; 103(23): e38425, 2024 Jun 07.
Article
in En
| MEDLINE
| ID: mdl-38847732
ABSTRACT
BACKGROUND:
Not all the breast lesions were mass-like, some were non-mass-like at ultrasonography. In these lesions, conventional ultrasonography had a high sensitivity but a low specificity. Sonoelastography can evaluate tissue stiffness to differentiate malignant masses from benign ones. Then what about the non-mass lesions? The aim of this study was to evaluate the current accuracy of sonoelastography in the breast non-mass lesions and compare the results with those of the American College of Radiology breast Imaging-Reporting and Data System (BI-RADS).METHODS:
An independent literature search of English medical databases, including PubMed, Web of Science, Embase & MEDLINE (Embase.com) and Cochrane Library, was performed by 2 researchers. The accuracy of sonoelastography was calculated and compared with those of BI-RADS.RESULTS:
Fourteen relevant studies including 1058 breast non-mass lesions were included. Sonoelastography showed a pooled sensitivity of 0.74 (95% CI 0.70-0.78), specificity of 0.89 (95% CI 0.85-0.91), diagnostic odds ratio (DOR) of 25.22 (95% CI 17.71-35.92), and an area under the curve of 0.9042. Eight articles included both sonoelastography and BI-RADS. The pooled sensitivity, specificity, DOR and AUC were 0.69 versus 0.91 (Pâ <â .01), 0.90 versus 0.68 (Pâ <â .01), 19.65 versus 29.34 (Pâ >â .05), and 0.8685 versus 0.9327 (Pâ >â .05), respectively.CONCLUSIONS:
Sonoelastography has a higher specificity and a lower sensitivity for differential diagnosis between malignant and benign breast non-mass lesions compared with BI-RADS, although there were no differences in AUC between them.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Ultrasonography, Mammary
/
Elasticity Imaging Techniques
Limits:
Female
/
Humans
Language:
En
Journal:
Medicine (Baltimore)
Year:
2024
Document type:
Article
Affiliation country:
China
Publication country:
EEUU
/
ESTADOS UNIDOS
/
ESTADOS UNIDOS DA AMERICA
/
EUA
/
UNITED STATES
/
UNITED STATES OF AMERICA
/
US
/
USA