Literature DB >> 32100089

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

Giuseppe Pontillo1, Sirio Cocozza2, Martina Di Stasi1, Antonio Carotenuto3, Chiara Paolella1, Maria Brunella Cipullo1, Teresa Perillo1, Elena Augusta Vola1, Camilla Russo1, Marco Masullo3, Marcello Moccia3, Roberta Lanzillo3, Enrico Tedeschi1, Andrea Elefante1, Vincenzo Brescia Morra3, Arturo Brunetti1, Mario Quarantelli4, Maria Petracca3.   

Abstract

OBJECTIVES: 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.
METHODS: 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.
RESULTS: 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).
CONCLUSIONS: 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. KEY POINTS: • 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.

Entities:  

Keywords:  Atrophy; Brain; Magnetic resonance imaging; Multiple sclerosis

Mesh:

Year:  2020        PMID: 32100089     DOI: 10.1007/s00330-020-06738-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  6 in total

1.  Usefulness of two-dimensional measurements for the evaluation of brain volume and disability in multiple sclerosis.

Authors:  Satori Ajitomi; Juichi Fujimori; Ichiro Nakashima
Journal:  Mult Scler J Exp Transl Clin       Date:  2022-01-05

2.  Editorial: Multi-Modal Imaging in Neurological Conditions: Translational Applications.

Authors:  Maria Petracca
Journal:  Front Neurol       Date:  2022-02-15       Impact factor: 4.003

3.  Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach.

Authors:  Giuseppe Pontillo; Simone Penna; Sirio Cocozza; Mario Quarantelli; Michela Gravina; Roberta Lanzillo; Stefano Marrone; Teresa Costabile; Matilde Inglese; Vincenzo Brescia Morra; Daniele Riccio; Andrea Elefante; Maria Petracca; Carlo Sansone; Arturo Brunetti
Journal:  Eur Radiol       Date:  2022-03-14       Impact factor: 7.034

Review 4.  Unmet needs and gaps in the identification of secondary progression in multiple sclerosis: a Southern Italy healthcare professionals' perspective.

Authors:  Giacomo Lus; Marco André Bassano; Vincenzo Brescia Morra; Simona Bonavita; Antonio Gallo; Davide Maimone; Laura Malerba; Giorgia Teresa Maniscalco; Francesco Saccà; Giuseppe Salemi; Renato Turrini; Salvatore Cottone; Edoardo Sessa; Maria Buccafusca; Luigi Maria Edoardo Grimaldi
Journal:  Neurol Sci       Date:  2022-09-17       Impact factor: 3.830

Review 5.  Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis.

Authors:  Maria Petracca; Giuseppe Pontillo; Marcello Moccia; Antonio Carotenuto; Sirio Cocozza; Roberta Lanzillo; Arturo Brunetti; Vincenzo Brescia Morra
Journal:  Brain Sci       Date:  2021-03-09

6.  Machine learning classifier to identify clinical and radiological features relevant to disability progression in multiple sclerosis.

Authors:  Silvia Tommasin; Sirio Cocozza; Alessandro Taloni; Costanza Giannì; Nikolaos Petsas; Giuseppe Pontillo; Maria Petracca; Serena Ruggieri; Laura De Giglio; Carlo Pozzilli; Arturo Brunetti; Patrizia Pantano
Journal:  J Neurol       Date:  2021-05-10       Impact factor: 4.849

  6 in total

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