In:
Indian Journal of Radiology and Imaging, Georg Thieme Verlag KG, Vol. 32, No. 03 ( 2022-09), p. 314-323
Kurzfassung:
Aim The aim of this article was to assess the profile of T2-weighted (T2W) multipoint Dixon sequence and conventional sequences in magnetic resonance imaging (MRI) of sacroiliac joints for the diagnosis of active and chronic sacroiliitis. Settings and Design Prospective observational study. Materials and Methods Thirty-seven patients with sacroiliitis underwent MRI with conventional coronal oblique short tau inversion recovery, T1W sequences, and T2W multipoint Dixon sequences. T1 fat-saturated postcontrast sequences were added in active cases. Comparisons were made between conventional and T2 Dixon sequences both quantitatively and qualitatively. Statistical Analysis Paired t-test was used to study the difference in contrast–noise ratio (CNR) between two groups. Chi-squared analysis with p-value of ≤ 0.05 was used to test the significant association of different sequences. Results Water only images had highest mean CNR (296.35 ± 208.28) for the detection of bone marrow edema/osteitis. T1W (186.09 ± 96.96) and opposed-phase (OP) images (279.22 ± 188.40) had highest mean CNR for the detection of subchondral sclerosis and periarticular fat deposition, respectively. OP images (p-value 〈 0.001) followed by fat-only (FO) images (p-value = 0.001) were superior to T1W sequences in detecting periarticular fat deposition. In-phase (IP) images in detecting subchondral sclerosis and IP and FO images in detecting cortical erosions were comparable to conventional T1W sequences (p-value 〈 0.001). Conclusions T2 Dixon sequences are superior or comparable to conventional MR sequences in detection of sacroiliitis, except ankylosis. Hence, Dixon can be used as a single sequence to replace the multiple sequences used in conventional imaging protocol of acute sacroiliac joints due to higher image quality. It can be used as an additional sequence in case of chronic sacroiliitis to increase the confidence and accuracy of diagnosis.
Materialart:
Online-Ressource
ISSN:
0971-3026
,
1998-3808
DOI:
10.1055/s-0042-1753467
Sprache:
Englisch
Verlag:
Georg Thieme Verlag KG
Publikationsdatum:
2022
ZDB Id:
2059213-9
