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Diagnostic value of two virtual touch tissue quantification techniques in benign and malignant masses of breast with different sizes / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1663-1668, 2019.
Artículo en Chino | WPRIM | ID: wpr-861171
ABSTRACT

Objective:

To compare the diagnostic value of virtual touch tissue quantification (VTQ) technique and virtual touch tissue imaging quantification (VTIQ) technique in benign and malignant breast masses with different sizes.

Methods:

Totally 219 breast masses were selected and confirmed by pathology. According to the largest diameter, all masses were divided into three groups 5-10 mm (S1 group), 11-20 mm (S2 group) and 21-39 mm (S3 group). The shear wave velocity (SWV) value (SWVVTQ) was obtained by VTQ examination, the SWV maximum value (SWVmax) and SWVmax to the SWV of the surrounding gland in the same depth (SWVratio) were obtained by VTIQ examination before surgery. The pathological results were used as the criteria to compare the diagnostic value of two virtual touch tissue quantification techniques for benign and malignant breast masses of different sizes.

Results:

There were significant differences in SWVVTQ, SWVmax, SWVratio between the benign and malignant breast masses in 3 groups (all P0.90. The difference of AUC between SWVVTQ and SWVmax, SWVratio was statistically significant in S1 group (P0.05).

Conclusion:

For breast masses with the largest diameter >10 mm, the diagnostic value of VTQ and VTIQ techniques are equivalent. For breast masses with the largest diameter ≤10 mm, VTIQ technology has higher diagnostic value than VTQ technology in the diagnosis of benign and malignant breast masses.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio diagnóstico Idioma: Chino Revista: Chinese Journal of Medical Imaging Technology Año: 2019 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio diagnóstico Idioma: Chino Revista: Chinese Journal of Medical Imaging Technology Año: 2019 Tipo del documento: Artículo