Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images

Autor(es)

Marcomini, Karem D. ; Fleury, Eduardo F. C. ; Oliveira, Vilmar M. ; Carneiro, Antonio A. O. ; Schiabel, Homero ; Nishikawa, Robert M. ; Armato, SG ; Petrick, NA

• Tipo de documento: Artigo Científico
• Fonte: MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS; v. 10134, p. 8-pg., 2017-01-01.

Resumo

Breast elastography is a new sonographic technique that provides additional information to evaluate tissue stiffness. However, interpreting breast elastography images can vary depending on the radiologist. In order to provide quantitative and less subjective data regarding the stiffness of a lesion, we developed a tool to measure the amount of hard area in a lesion from the 2D image. The database consisted of 78 patients with 83 breast lesions (31 malignant and 52 benign). Two radiologists and one resident manually drew the contour of the lesions in B-mode ultrasound images and the contour was mapped in the elastography image. By using the system proposed, the radiologists obtained a very good diagnostic agreement among themselves (kappa = 0.86), achieving the same sensitivity and specificity (80.7 and 88.5, respectively), and an AUC of 0.883 for Radiologist 1 and 0.892 for Radiologist 2. The Resident had less interobserver agreement, as well as lower specificity and AUC, which may be related to less experience. Furthermore, the radiologists had an agreement with the tool used in the automatic method higher than 90%. Thus, the method developed was useful in aiding the diagnosis of breast lesions in strain elastography, minimizing its subjectivity. (AU)

• Processo FAPESP: 12/24006-5 - Caracterização de nódulos mamários em imagens digitais de ultrassonografia, elastografia e mamografia utilizando técnicas inteligentes
• Beneficiário: Karem Daiane Marcomini
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 15/17302-5 - Criação de uma base de imagens contendo exames de mamografia, ultrassom e elastografia para segmentação de achados suspeitos
• Beneficiário: Karem Daiane Marcomini
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado