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Predicting Gait Speed Improvement in Idiopathic Normal Pressure Hydrocephalus Patients: The Role of Evans Index and Ventricular Volume.
Rohatgi, Saurabh; Dua, Amol; Avesta, Arman; Khalid, Rehab Naeem; Diociasi, Andrea; Buch, Karen; Ford, Jeremy N; Gupta, Rajiv.
Afiliação
  • Rohatgi S; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Dua A; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Avesta A; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Khalid RN; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Diociasi A; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Buch K; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Ford JN; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • Gupta R; Department of Radiology, Division of Neuroradiology, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
Cureus ; 16(6): e61799, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38975434
ABSTRACT
Objective This study aims to investigate the association between specific imaging parameters, namely, the Evans index (EI) and ventricular volume (VV), and the variation in gait speed observed in patients with idiopathic normal pressure hydrocephalus (iNPH) before and after cerebrospinal fluid (CSF) removal/lumbar drain (LD). Furthermore, it seeks to identify which imaging parameters are the most reliable predictors for significant improvements in gait speed post procedure. Methods In this retrospective analysis, the study measured the gait speed of 35 patients diagnosed with idiopathic normal pressure hydrocephalus (iNPH) before and after they underwent CSF removal. Before lumbar drain (LD), brain images were segmented to calculate the Evans index and ventricular volume. The study explored the relationship between these imaging parameters (the Evans index and ventricular volume) and the improvement in gait speed following CSF removal. Patients were divided into two categories based on the degree of improvement in gait speed, and we compared the imaging parameters between these groups. Receiver operating characteristic (ROC) curve analysis was employed to determine the optimal imaging parameter thresholds predictive of gait speed enhancement. Finally, the study assessed the predictive accuracy of these thresholds for identifying patients likely to experience improved gait speed post-LD. Results Following CSF removal/lumbar drain, the participants significantly improved in gait speed, as indicated by a paired sample t-test (p-value = 0.0017). A moderate positive correlation was observed between the imaging parameters (EI and VV) and the improvement in gait speed post-LD. Significant differences were detected between the two patient groups regarding EI, VV, and a composite score (statistical test value = 3.1, 2.8, and 2.9, respectively; p-value < 0.01). Receiver operating characteristic (ROC) curve analysis identified the optimal thresholds for the EI and VV to be 0.39 and 110.78 cm³, respectively. The classification based on these thresholds yielded significant associations between patients displaying favorable imaging parameters and those demonstrating improved gait speed post-LD, with chi-square (χ²) values of 8.5 and 7.1, respectively, and p-values < 0.01. Furthermore, these imaging parameter thresholds had a 74% accuracy rate in predicting patients who would improve post-LD. Conclusion The study demonstrates that ventricle volume and the Evans index can significantly predict gait speed improvement after lumbar drain (LD) in patients with iNPH.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article