Degree of microstructural changes within T1-SE versus T1-GE hypointense lesions in multiple sclerosis: relevance for the definition of "black holes".


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 21 08 2019
accepted: 18 02 2020
revised: 08 01 2020
pubmed: 13 3 2020
medline: 29 12 2020
entrez: 13 3 2020
Statut: ppublish

Résumé

To retrospectively evaluate the different performances of T1-SE and T1-GE sequences in detecting hypointense lesions in multiple sclerosis (MS), to quantify the degree of microstructural damage within lesions and to correlate them with patient clinical status. Sixty clinically isolated syndrome (CIS) and MS patients underwent brain magnetic resonance imaging (MRI) on 1.5-T and 3-T scanners. We identified T2 fluid-attenuated inversion recovery hyperintense lesions with no hypointense signal on T1-SE/T1-GE (a), hypointense lesions only on T1-GE (b), and hypointense lesions on both T1-SE and T1-GE sequences (c). We compared mean lesion number (LN) and volume (LV) identified on T1-SE and T1-GE sequences, correlating them with Expanded Disability Status Scale (EDSS); fractional anisotropy (FA) and mean diffusivity (MD) values inside each lesion type were extracted and normal-appearing white matter (NAWM). Thirty-five patients were female. Mean age was 39.2 (± 7.8); median EDSS was 3 (± 2). There were 23 CIS, 21 relapsing-remitting (RR), and 16 progressive MS. T1-GE and T1-SE LN and LV were significantly different (p < 0.001), both correlating with EDSS. Both FA and MD metrics resulted significantly different among the three lesion groups and NAWM (p < 0.001). FA and MD values extracted from (b) and (c) showed statistically significant differences (p < 0.001), while for (a) and (b), the differences were not significant (p = 0.31 for FA and p = 0.62 for MD). T1-SE hypointense lesions demonstrated a more pronounced degree of microstructural damage. T1-weighted sequence type must be more carefully evaluated in clinical and research settings. • T1-weighted spin-echo (T1-SE) images detect chronic hypointense lesions (so called black holes) associated with more severe microstructural changes. • In the last years, three-dimensional (3D) T1-weighted gradient-echo (T1-GE) sequences are often utilized in lieu of T1-SE acquisition, more so at 3 T or higher fields. • T1-weighted sequence type must be more carefully evaluated in clinical and research settings in the definition of "black holes" in MS, in order to avoid the overestimation of the effective severe tissue damage.

Identifiants

pubmed: 32162002
doi: 10.1007/s00330-020-06761-5
pii: 10.1007/s00330-020-06761-5
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3843-3851

Auteurs

Caterina Lapucci (C)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy. lapuccicate@gmail.com.

Nicola Romano (N)

Department of Health Sciences (DISSAL) -Radiology Section, University of Genoa, Genoa, Italy.

Simona Schiavi (S)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Department of Computer Science, University of Verona, Verona, Italy.

Laura Saitta (L)

Department of Neuroradiology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

Antonio Uccelli (A)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

Giacomo Boffa (G)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

Matteo Pardini (M)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

Alessio Signori (A)

Department of Health Sciences (DISSAL) - Section of Biostatistics, University of Genoa, Genoa, Italy.

Lucio Castellan (L)

Department of Neuroradiology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

Matilde Inglese (M)

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

Luca Roccatagliata (L)

Department of Health Sciences (DISSAL) -Radiology Section, University of Genoa, Genoa, Italy.
Department of Neuroradiology, Ospedale Policlinico San Martino IRCCS, Genoa, Italy.

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