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S-DetectTM classification technique in diagnosis of BI-RADS 4 breast masses / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1319-1323, 2020.
Artigo em Chinês | WPRIM | ID: wpr-860906
ABSTRACT

Objective:

To explore the diagnostic value of S-DetectTM classification technique for benign and malignant breast imaging reporting and data system (BI-RADS) 4 breast masses.

Methods:

Totally 94 patients with 104 two-dimensional ultrasound diagnosed BI-RADS 4 breast masses were examined using S-DetectTM classification technique. Taken pathological results as the gold standards, the diagnostic values of S-DetectTM classification technology, BI-RADS classification alone and the combination of them of benign and malignant breast BI-RADS 4 masses were observed.

Results:

There were 41 benign and 63 malignant ones among all 104 BI-RADS 4 breast masses. The sensitivity (SE) of S-DetectTM classification technique for diagnosing breast BI-RADS 4a mass was 66.67%, specificity (SP) was 89.29%, positive predictive value (PPV) was 57.14%, negative predictive value (NPV) was 92.59%, of BI-RADS 4b masses was 90.91%, 60.00%, 88.24% and 66.67%, of breast BI-RADS 4c mass was 95.83%, 66.67%, 95.83% and 66.67%, respectively. SE, SP and accuracy of combination of S-DetectTM classification and BI-RADS classification for diagnosing breast masses were significantly higher than those of BI-RADS classification and S-DetectTM classification technique alone (all P<0.05).

Conclusion:

S-DetectTM classification technique was valuable for judging BI-RADS 4a benign masses as well as BI-RADS 4b and BI-RADS 4c malignant masses. S-DetectTM classification technology combined with BI-RADS classification could significantly improve the diagnostic value of identifying benign and malignant BI-RADS 4 breast masses.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico / Guia de Prática Clínica Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2020 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo diagnóstico / Guia de Prática Clínica Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2020 Tipo de documento: Artigo