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The role of diffusion tensor imaging of the liver in children with autoimmune hepatitis

PURPOSE: To evaluate the role of diffusion tensor imaging (DTI) of the liver in children with autoimmune hepatitis (AIH). MATERIAL AND METHODS: A prospective study was done on 42 children with AIH (30 girls and 12 boys, with a mean age of 13 years) and 20 age- and sex-matched healthy control childre...

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Detalles Bibliográficos
Autores principales: Razek, Ahmed Abdel Khalek Abdel, Abdalla, Ahmed, Megahed, Ahmed, Ahmed, Mohamed Elsayed, ElMabood, Suzy Abd, Wahab, Rihame Abdel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449556/
https://www.ncbi.nlm.nih.gov/pubmed/34567291
http://dx.doi.org/10.5114/pjr.2021.108171
Descripción
Sumario:PURPOSE: To evaluate the role of diffusion tensor imaging (DTI) of the liver in children with autoimmune hepatitis (AIH). MATERIAL AND METHODS: A prospective study was done on 42 children with AIH (30 girls and 12 boys, with a mean age of 13 years) and 20 age- and sex-matched healthy control children. They underwent DTI of the liver and laboratory tests. Liver biopsy was done for the patients. The mean diffusivity (MD) and fractional anisotropy (FA) of the liver were calculated and correlated with the pathological results. RESULTS: The mean MD and FA of the liver in children with AIH were 1.42 ± 0.06 × 10(-3) mm(2)/s and 0.37 ± 0.11; and in the control children they were 1.55 ± 0.07 × 10(-3) mm(2)/s and 0.25 ± 0.03, respectively. The MD and FA were significantly different in the children with AIH compared to the control children (p = 0.001). The cutoff MD and FA used to differentiate patients from controls were 1.50 × 10(-3) mm(2)/s, 0.31 with AUC of 0.919 and 0.813, sensitivity of 97.6% and 66.7%, a specificity of 80% and 70%, an accuracy of 94.2% and 67.3%, PPV of 95.3 and 90.3, and NPV of 88.9 and 33.3, respectively. There was significantly lower MD and higher FA of the liver in children with AIH type I (n = 31) than type II (n = 11) (p = 0.001), and patients with (n = 9) and without (n = 33) overlap syndrome (p = 0.005). CONCLUSIONS: We concluded that DTI parameters can help to diagnose AIH, detect its phenotyping, and give clues as to the presence of associated overlap syndrome.