2D linear measures of ventricular enlargement may be relevant markers of brain atrophy and long-term disability progression in multiple sclerosis.


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: 05 12 2019
accepted: 10 02 2020
revised: 04 02 2020
pubmed: 27 2 2020
medline: 15 12 2020
entrez: 27 2 2020
Statut: ppublish

Résumé

Aim of this study was to investigate the reliability and validity of 2D linear measures of ventricular enlargement as indirect markers of brain atrophy and possible predictors of clinical disability. In this retrospective longitudinal analysis of relapsing-remitting MS patients, brain volumes were computed at baseline and after 2 years. Frontal horn width (FHW), intercaudate distance (ICD), third ventricle width (TVW), and 4th ventricle width were obtained. Two-dimensional measures associated with brain volume at correlation analyses were entered in linear and logistic regression models testing the relationship with baseline clinical disability and 10-year confirmed disability progression (CDP), respectively. Possible cutoff values for clinically relevant atrophy were estimated via receiver operating characteristic (ROC) analyses and probed as 10-year CDP predictors using hierarchical logistic regression. Eighty-seven patients were available (61/26 = F/M; 34.1 ± 8.5 years). Moderate negative correlations emerged between ICD and TVW and normalized brain volume (NBV; p < 0.001) and percentage brain volume change per year (PBVC/y) and FHW, ICD, and TVW annual changes (p ≤ 0.005). Baseline disability was moderately associated with NBV, ICD, and TVW (p < 0.001), while PBVC/y predicted 10-year CDP (p = 0.01). A cutoff percentage ICD change per year (PICDC/y) value of 4.38%, corresponding to - 0.91% PBVC/y, correlated with 10-year CDP (p = 0.04). These estimated cutoff values provided extra value for predicting 10-year CDP (PBVC/y: p = 0.001; PICDC/y: p = 0.03). Two-dimensional measures of ventricular enlargement are reproducible and clinically relevant markers of brain atrophy, with ICD and its increase over time showing the best association with clinical disability. Specifically, a cutoff PICDC/y value of 4.38% could serve as a potential surrogate marker of long-term disability progression. • Assessment of ventricular enlargement as a rapidly accessible indirect marker of brain atrophy may prove useful in cases in which brain volume quantification is not practicable. • Two-dimensional linear measures of ventricular enlargement represent reliable, valid, and clinically relevant markers of brain atrophy. • A cutoff annualized percentage brain volume change of - 0.91% and the corresponding annualized percentage increase of 4.38% for intercaudate distance are able to discriminate patients who will develop long-term disability progression.

Identifiants

pubmed: 32100089
doi: 10.1007/s00330-020-06738-4
pii: 10.1007/s00330-020-06738-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3813-3822

Auteurs

Giuseppe Pontillo (G)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Sirio Cocozza (S)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy. sirio.cocozza@unina.it.

Martina Di Stasi (M)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Antonio Carotenuto (A)

Department of Neurosciences and Reproductive and Odontostomatological Sciences, University "Federico II", Naples, Italy.

Chiara Paolella (C)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Maria Brunella Cipullo (MB)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Teresa Perillo (T)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Elena Augusta Vola (EA)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Camilla Russo (C)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Marco Masullo (M)

Department of Neurosciences and Reproductive and Odontostomatological Sciences, University "Federico II", Naples, Italy.

Marcello Moccia (M)

Department of Neurosciences and Reproductive and Odontostomatological Sciences, University "Federico II", Naples, Italy.

Roberta Lanzillo (R)

Department of Neurosciences and Reproductive and Odontostomatological Sciences, University "Federico II", Naples, Italy.

Enrico Tedeschi (E)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Andrea Elefante (A)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Vincenzo Brescia Morra (V)

Department of Neurosciences and Reproductive and Odontostomatological Sciences, University "Federico II", Naples, Italy.

Arturo Brunetti (A)

Department of Advanced Biomedical Sciences, University "Federico II", Via Pansini, 5, 80131, Naples, Italy.

Mario Quarantelli (M)

Institute of Biostructure and Bioimaging, National Research Council, Naples, Italy.

Maria Petracca (M)

Department of Neurosciences and Reproductive and Odontostomatological Sciences, University "Federico II", Naples, Italy.

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