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High-frequency ultrasound for differentiation between high-risk basal cell carcinoma and cutaneous squamous cell carcinoma.
Chen, Zi-Tong; Yan, Jian-Na; Zhu, An-Qi; Wang, Li-Fan; Wang, Qiao; Li, Liang; Guo, Le-Hang; Li, Xiao-Long; Xu, Hui-Xiong.
Afiliación
  • Chen ZT; Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.
  • Yan JN; Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.
  • Zhu AQ; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.
  • Wang LF; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.
  • Wang Q; Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Li L; Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.
  • Guo LH; Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.
  • Li XL; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.
  • Xu HX; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.
Skin Res Technol ; 28(3): 410-418, 2022 May.
Article en En | MEDLINE | ID: mdl-34923684
ABSTRACT

BACKGROUND:

The similar visual appearance of high-risk basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) may cause confusion for diagnosis. High-frequency ultrasound (HFUS) may provide additional intralesional information and thus help to distinguish them.

METHOD:

In this retrospective study, we analyzed the clinical characteristics, HFUS grayscale, and color Doppler flow imaging (CDFI) features of pathologically confirmed high-risk BCC and cSCC lesions (n = 65 vs n = 68). Subsequently, discrimination models based on the significant HFUS features were established.

RESULTS:

Between high-risk BCC and cSCC lesions, the HFUS grayscale features of the lesion size (10.0 mm vs 17.4 mm), thickness (3.1 mm vs 5.9 mm), internal hyperechoic spots (80.0% vs 23.5%), and posterior acoustic shadowing (16.9% vs 66.2%) were statistically different (all p < 0.001). As for the CDFI features, high-risk BCC lesions mainly appeared as pattern II (47.7%), while cSCC lesions mainly appeared as pattern III (66.2%). Based on the above five features, an optimal discrimination model was established with a sensitivity of 91.2%, a specificity of 87.7%, and an accuracy of 89.5%.

CONCLUSION:

HFUS features, including size, thickness, internal hyperechoic spots, posterior acoustic shadowing, and Doppler vascularity pattern, are useful for differential diagnosis between high-risk BCC and cSCC.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Carcinoma Basocelular / Carcinoma de Células Escamosas Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Skin Res Technol Asunto de la revista: DERMATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Cutáneas / Carcinoma Basocelular / Carcinoma de Células Escamosas Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Skin Res Technol Asunto de la revista: DERMATOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China