Ultrasound as predictor of histologic subtypes linked to recurrence in basal cell carcinoma of the skin
Author
dc.contributor.author
Wortsman Canovas, Viviana
Author
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Vergara, P.
Author
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Castro Lara, Ariel
Author
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Saavedra, D.
Author
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Bobadilla Bruneau, Francisco
Author
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Sazunic Yáñez, Ivo
Author
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Zemelman Decarli, Viviana
Author
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Wortsman, J.
Admission date
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2015-08-11T12:37:00Z
Available date
dc.date.available
2015-08-11T12:37:00Z
Publication date
dc.date.issued
2015
Cita de ítem
dc.identifier.citation
JEADV 2015, 29, 702–707
en_US
Identifier
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1468-3083
Identifier
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https://repositorio.uchile.cl/handle/2250/132550
General note
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Artículo de publicación ISI
en_US
Abstract
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Background Basal cell carcinoma (BCC) recurrences, especially in the facial region, represent a complex cosmetic
problem. To date the possibility of predicting recurrence is supported solely by the histologic subtype.
Objective To evaluate the relationship between BCC histologic subtypes linked to high and low risk of recurrence and
the presence of hyperechoic spots on sonography.
Methods Retrospective analysis of the pre-surgical ultrasound examinations of primary BCC tumours with visualization
and counting of intra-tumoural hyperechoic spots. The data were then correlated with the corresponding histologic
subtype.
Results Thirty one patients with histologically proven BCC were included in the study. Hyperechoic spots were
detected in all cases and there was a positive, statistically significant association between hyperechoic spots
count and high recurrence risk histologic subtypes. Higher hyperechoic spots count was found in the recurrenceprone
micronodular, sclerosing variant and morpheiform BCC subtypes. Low risk and high risk of recurrence
showed a significant difference on the mean hyperechoic spots count of 5.5 (range: 3–25) and 8 (4–81). A cut-off
point ≥7 hyperechoic spots presented a sensitivity of 79% and specificity of 53% for predicting the high risk of
recurrence subtypes.
Conclusion The presence and count of hyperechoic spots within BCC lesions may help predicting the high risk of
recurrence histologic subtypes.