Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

adiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthriti

Texto completo
Autor(es):
Magalhaes Tenorio, Ariane Priscilla [1] ; Ferreira-Junior, Jose Raniery [1] ; Dalto, Vitor Faeda [1] ; Faleiros, Matheus Calil [1] ; Assad, Rodrigo Luppino [1] ; Louzada-Junior, Paulo [1] ; Nogueira-Barbosa, Marcello Henrique [1, 2] ; Rangayyan, Rangaraj Mandayam [3] ; de Azevedo-Marques, Paulo Mazzoncini [1]
Número total de Autores: 9
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Ribeirao Preto Med Sch, Av dos Bandeirantes 3900, BR-14049900 Sao Paulo, SP - Brazil
[2] Univ Missouri Hlth Care, Dept Orthoped Surg, Columbia, MO - USA
[3] Univ Calgary, Schulich Sch Engn, Calgary, AB - Canada
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF DIGITAL IMAGING; v. 35, n. 1 JAN 2022.
Citações Web of Science: 0
Resumo

Spondyloarthritis (SpA) is a group of diseases primarily involving chronic inflammation of the spine and peripheral joints, as evaluated by magnetic resonance imaging (MRI). Considering the complexity of SpA, we performed a retrospective study to discover quantitative/radiomic MRI-based features correlated with SpA. We also investigated different fat-suppression MRI techniques to develop detection models for inflammatory sacroiliitis. Finally, these model results were compared with those of experienced musculoskeletal radiologists, and the concordance level was evaluated. Examinations of 46 consecutive patients were obtained using SPAIR (spectral attenuated inversion recovery) and STIR (short tau inversion recovery) MRI sequences. Musculoskeletal radiologists manually segmented the sacroiliac joints for further extraction of 230 MRI features from gray-level histogram/matrices and wavelet filters. These features were associated with sacroiliitis, SpA, and the current biomarkers of ESR (erythrocyte sedimentation rate), CRP (C-reactive protein), BASDAI (Bath Ankylosing Spondylitis Activity Index), BASFI (Bath Ankylosing Spondylitis Functional Index), and MASES (Maastricht Ankylosing Spondylitis Enthesis Score). The Mann-Whitney U test showed that the radiomic markers from both MRI sequences were associated with active sacroiliitis and with SpA and its axial and peripheral subtypes (p < 0.05). Spearman's coefficient also identified a correlation between MRI markers and data from clinical practice (p < 0.05). Fat-suppression MRI models yielded performances that were statistically equivalent to those of specialists and presented strong concordance in identifying inflammatory sacroiliitis. SPAIR and STIR acquisition protocols showed potential for the evaluation of sacroiliac joints and the composition of a radiomic model to support the clinical assessment of SpA. (AU)

Processo FAPESP: 14/50889-7 - INCT 2014: em Medicina Assistida por Computação Científica (INCT-MACC)
Beneficiário:José Eduardo Krieger
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 16/17078-0 - Mineração, indexação e visualização de Big Data no contexto de sistemas de apoio à decisão clínica (MIVisBD)
Beneficiário:Agma Juci Machado Traina
Linha de fomento: Auxílio à Pesquisa - Temático