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Value of High-Frequency Ultrasound for Differentiating Invasive Basal Cell Carcinoma from Non-invasive Types.

Authors :
Wang LF
Zhu AQ
Wang Q
Li XL
Yan JN
Hui-Shi
Li MX
Jin FS
Chen ST
Guo LH
Xu HX
Source :
Ultrasound in medicine & biology [Ultrasound Med Biol] 2021 Oct; Vol. 47 (10), pp. 2910-2920. Date of Electronic Publication: 2021 Jul 18.
Publication Year :
2021

Abstract

The purpose of the study was to evaluate the value of high-frequency ultrasound (HFUS) for differentiating invasive basal cell carcinomas (BCCs) from non-invasive BCCs. We established a prediction model based on ultrasound features and validated it further. One hundred patients in the pilot cohort and another 43 in the validation cohort were evaluated. All patients underwent HFUS examinations by the same radiologist, and then were divided on the basis of pathology into invasive and non-invasive types. With respect to growth pattern, 60.5% of invasive BCCs had an irregular pattern, whereas 89.5% of non-invasive BCCs had a nodular or crawling pattern (p < 0.001). As for the layers involved, the more invasive BCCs broke through the dermis compared with non-invasive BCCs (23.3% vs. 1.8%) (p < 0.001). With respect to intralesional hyperechoic spot distribution, invasive and non-invasive BCCs tended to be clustered and absent/scattered-like, respectively (55.8% vs. 91.2%) (p < 0.001). On the basis of the aforementioned features, a prediction model was established with accuracies of 84.0% and 76.7%, respectively, in the pilot and validation cohorts. HFUS holds promise for the differentiation of the invasiveness of BCCs and is helpful in its clinical management.<br />Competing Interests: Conflict of interest disclosure No potential competing interests exist with respect to this study. The authors declare no relationships with any companies whose products or services may be related to the subject matter of the article.<br /> (Copyright © 2021. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1879-291X
Volume :
47
Issue :
10
Database :
MEDLINE
Journal :
Ultrasound in medicine & biology
Publication Type :
Academic Journal
Accession number :
34284933
Full Text :
https://doi.org/10.1016/j.ultrasmedbio.2021.06.006