Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool.
J Ultrasound
; 21(2): 105-118, 2018 Jun.
Article
en En
| MEDLINE
| ID: mdl-29681007
ABSTRACT
PURPOSE:
To assess the diagnostic performance and the potential as a teaching tool of S-detect in the assessment of focal breast lesions.METHODS:
61 patients (age 21-84 years) with benign breast lesions in follow-up or candidate to pathological sampling or with suspicious lesions candidate to biopsy were enrolled. The study was based on a prospective and on a retrospective phase. In the prospective phase, after completion of baseline US by an experienced breast radiologist and S-detect assessment, 5 operators with different experience and dedication to breast radiology performed elastographic exams. In the retrospective phase, the 5 operators performed a retrospective assessment and categorized lesions with BI-RADS 2013 lexicon. Integration of S-detect to in-training operators evaluations was performed by giving priority to S-detect analysis in case of disagreement. 2 × 2 contingency tables and ROC analysis were used to assess the diagnostic performances; inter-rater agreement was measured with Cohen's k; Bonferroni's test was used to compare performances. A significance threshold of p = 0.05 was adopted.RESULTS:
All operators showed sensitivity > 90% and varying specificity (50-75%); S-detect showed sensitivity > 90 and 70.8% specificity, with inter-rater agreement ranging from moderate to good. Lower specificities were improved by the addition of S-detect. The addition of elastography did not lead to any improvement of the diagnostic performance.CONCLUSIONS:
S-detect is a feasible tool for the characterization of breast lesions; it has a potential as a teaching tool for the less experienced operators.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Mama
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Reconocimiento de Normas Patrones Automatizadas
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Interpretación de Imagen Asistida por Computador
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Ultrasonografía Mamaria
Tipo de estudio:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
Límite:
Adult
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Aged
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Aged80
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Humans
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Middle aged
Idioma:
En
Año:
2018
Tipo del documento:
Article