Literature DB >> 30860448

Accuracy of Unenhanced MRI in the Detection of New Brain Lesions in Multiple Sclerosis.

Paul Eichinger1, Simon Schön1, Viola Pongratz1, Hanni Wiestler1, Haike Zhang1, Matthias Bussas1, Muna-Miriam Hoshi1, Jan Kirschke1, Achim Berthele1, Claus Zimmer1, Bernhard Hemmer1, Mark Mühlau1, Benedikt Wiestler1.   

Abstract

Background Administration of a gadolinium-based contrast material is widely considered obligatory for follow-up imaging of patients with multiple sclerosis (MS). However, advances in MRI have substantially improved the sensitivity for detecting new or enlarged lesions in MS. Purpose To investigate whether the use of contrast material has an effect on the detection of new or enlarged MS lesions and, consequently, the assessment of interval progression. Materials and Methods In this retrospective study based on a local prospective observational cohort, 507 follow-up MR images obtained in 359 patients with MS (mean age, 38.2 years ± 10.3; 246 women, 113 men) were evaluated. With use of subtraction maps, nonenhanced images (double inversion recovery [DIR], fluid-attenuated inversion recovery [FLAIR]) and contrast material-enhanced (gadoterate meglumine, 0.1 mmol/kg) T1-weighted images were separately assessed for new or enlarged lesions in independent readings by two readers blinded to each other's findings and to clinical information. Primary outcome was the percentage of new or enlarged lesions detected only on contrast-enhanced T1-weighted images and the assessment of interval progression. Interval progression was defined as at least one new or unequivocally enlarged lesion on follow-up MR images. Results Of 507 follow-up images, 264 showed interval progression, with a total of 1992 new or enlarged and 207 contrast-enhancing lesions. Four of these lesions (on three MR images) were retrospectively detected on only the nonenhanced images, corresponding to 1.9% (four of 207) of the enhancing and 0.2% (four of 1992) of all new or enlarged lesions. Nine enhancing lesions were not detected on FLAIR-based subtraction maps (nine of 1442, 0.6%). In none of the 507 images did the contrast-enhanced sequences reveal interval progression that was missed in the readouts of the nonenhanced sequences, with use of either DIR- or FLAIR-based subtraction maps. Interrater agreement was high for all three measures, with intraclass correlation coefficients of 0.91 with FLAIR, 0.94 with DIR, and 0.99 with contrast-enhanced T1-weighted imaging. Conclusion At 3.0 T, use of a gadolinium-based contrast agent at follow-up MRI did not change the diagnosis of interval disease progression in patients with multiple sclerosis. © RSNA, 2019 See also the editorial by Saindane in this issue.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30860448     DOI: 10.1148/radiol.2019181568

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

1.  Comparison of Unenhanced and Gadolinium-Enhanced Imaging in Multiple Sclerosis: Is Contrast Needed for Routine Follow-Up MRI?

Authors:  G Sadigh; A M Saindane; A D Waldman; N S Lava; R Hu
Journal:  AJNR Am J Neuroradiol       Date:  2019-08-22       Impact factor: 3.825

2.  Predictive value of number and volume of demyelinating plaques in treatment response in patients with multiple sclerosis treated with INF-B.

Authors:  Maryam Azizian; Nadia Ghasemi Darestani; Athena Aliabadi; Mahdieh Afzali; Nooshin Tavoosi; Mahnaz Fosouli; Jalil Khataei; Halimeh Aali; Sayed Mohammad Amin Nourian
Journal:  Am J Neurodegener Dis       Date:  2022-04-15

3.  Multiple sclerosis: prevalence of the 'central vein' sign in white matter lesions on gadolinium-enhanced susceptibility-weighted images.

Authors:  Gianvincenzo Sparacia; Francesco Agnello; Alberto Iaia; Aurelia Banco; Massimo Galia; Massimo Midiri
Journal:  Neuroradiol J       Date:  2021-04-19

Review 4.  A 60-Year-Old Swiss Woman Presenting with Migratory Radicular Pain Diagnosed with Lyme Disease by Western Blot.

Authors:  Gisela Marcelino; João Cerveira; André Teychené; Armand Eichenberger
Journal:  Am J Case Rep       Date:  2022-04-10

5.  Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence.

Authors:  Richard McKinley; Rik Wepfer; Lorenz Grunder; Fabian Aschwanden; Tim Fischer; Christoph Friedli; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Benedikt Wiestler; Christoph Berger; Paul Eichinger; Mark Muhlau; Mauricio Reyes; Anke Salmen; Andrew Chan; Roland Wiest; Franca Wagner
Journal:  Neuroimage Clin       Date:  2019-12-09       Impact factor: 4.881

6.  Heterogeneity of multiple sclerosis lesions in fast diffusional kurtosis imaging.

Authors:  Christian Thaler; Anna A Kyselyova; Tobias D Faizy; Marie T Nawka; Sune Jespersen; Brian Hansen; Jan-Patrick Stellmann; Christoph Heesen; Klarissa H Stürner; Maria Stark; Jens Fiehler; Maxim Bester; Susanne Gellißen
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

7.  Sensitivity of portable low-field magnetic resonance imaging for multiple sclerosis lesions.

Authors:  T Campbell Arnold; Danni Tu; Serhat V Okar; Govind Nair; Samantha By; Karan D Kawatra; Timothy E Robert-Fitzgerald; Lisa M Desiderio; Matthew K Schindler; Russell T Shinohara; Daniel S Reich; Joel M Stein
Journal:  Neuroimage Clin       Date:  2022-06-27       Impact factor: 4.891

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.