Details

Autor(en) / Beteiligte

• Galletto Pregliasco, A
• Collin, A
• Guéguen, A
• Metten, M A
• Aboab, J
• Deschamps, R
• Gout, O
• Duron, L
• Sadik, J C
• Savatovsky, J
• Lecler, A

Titel

Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method

Ist Teil von

• American journal of neuroradiology : AJNR, 2018-07, Vol.39 (7), p.1226-1232

Ort / Verlag

United States: American Society of Neuroradiology

Erscheinungsjahr

2018

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• MR imaging is the key examination in the follow-up of patients with MS, by identification of new high-signal T2 brain lesions. However, identifying new lesions when scrolling through 2 follow-up MR images can be difficult and time-consuming. Our aim was to compare an automated coregistration-fusion reading approach with the standard approach by identifying new high-signal T2 brain lesions in patients with multiple sclerosis during follow-up MR imaging. This prospective monocenter study included 94 patients (mean age, 38.9 years) treated for MS with dimethyl fumarate from January 2014 to August 2016. One senior neuroradiologist and 1 junior radiologist checked for new high-signal T2 brain lesions, independently analyzing blinded image datasets with automated coregistration-fusion or the standard scroll-through approach with a 3-week delay between the 2 readings. A consensus reading with a second senior neuroradiologist served as a criterion standard for analyses. A Poisson regression and logistic and γ regressions were used to compare the 2 methods. Intra- and interobserver agreement was assessed by the κ coefficient. There were significantly more new high-signal T2 lesions per patient detected with the coregistration-fusion method (7 versus 4, < .001). The coregistration-fusion method detected significantly more patients with at least 1 new high-signal T2 lesion (59% versus 46%, = .02) and was associated with significantly faster overall reading time (86 seconds faster, < .001) and higher reader confidence (91% versus 40%, < 1 × 10 ). Inter- and intraobserver agreement was excellent for counting new high-signal T2 lesions. Our study showed that an automated coregistration-fusion method was more sensitive for detecting new high-signal T2 lesions in patients with MS and reducing reading time. This method could help to improve follow-up care.