The value of S-Detect for the differential diagnosis of breast masses on ultrasound: a systematic review and pooled meta-analysis.
Med Ultrason
; 22(2): 211-219, 2020 May 11.
Article
en En
| MEDLINE
| ID: mdl-32399528
ABSTRACT
AIM:
To evaluate the value of S-Detect (a computer aided diagnosis system using deep learning) in breast ultrasound (US) for discriminating benign and malignant breast masses. MATERIAL ANDMETHODS:
A literature search was performed and relevant studies using S-Detect for the differential diagnosis of breast masses were selected. The quality of included studies was assessed using a Quality Assessment of Diagnostic Accuracy Studies (QUADAS) questionnaire. Two review authors independently searched the articles and assessed the eligibility of the reports.RESULTS:
A total of ten studies were included in the meta-analysis. The pooled estimates of sensitivity and specificity were 0.82 (95%CI 0.77-0.87) and 0.86 (95%CI 0.76-0.92), respectively. In addition, the diagnostic odds ratios, positive likelihood ratio and negative likelihood ratio were 28 (95%CI 16- 49), 5.7 (95%CI 3.4-9.5), and 0.21 (95%CI 0.16-0.27), respectively. Area under the curve was 0.89 (95%CI 0.86-0.92). No significant publication bias was observed.CONCLUSIONS:
S-Detect exhibited a favourable diagnostic value in assisting physicians discriminating benign and malignant breast masses and it can be considered as a useful complement for conventional US.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias de la Mama
/
Ultrasonografía Mamaria
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
/
Systematic_reviews
Límite:
Female
/
Humans
Idioma:
En
Revista:
Med Ultrason
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
Año:
2020
Tipo del documento:
Article
País de afiliación:
China