Application of Evans Index in Normal Pressure Hydrocephalus Patients: A Mini Review

With an ever-growing aging population, the prevalence of normal pressure hydrocephalus (NPH) is increasing. Clinical symptoms of NPH include cognitive impairment, gait disturbance, and urinary incontinence. Surgery can improve symptoms, which leads to the disease's alternative name: treatable dementia. The Evans index (EI), defined as the ratio of the maximal width of the frontal horns to the maximum inner skull diameter, is the most commonly used index to indirectly assess the condition of the ventricles in NPH patients. EI measurement is simple, fast, and does not require any special software; in clinical practice, an EI >0.3 is the criterion for ventricular enlargement. However, EI's measurement methods, threshold setting, correlation with ventricle volume, and even its clinical value has been questioned. Based on the EI, the z-EI and anteroposterior diameter of the lateral ventricle index were derived and are discussed in this review.

Automated Segmentation and Connectivity Analysis for Normal Pressure Hydrocephalus

Objective and Impact Statement. We propose an automated method of predicting Normal Pressure Hydrocephalus (NPH) from CT scans. A deep convolutional network segments regions of interest from the scans. These regions are then combined with MRI information to predict NPH. To our knowledge, this is the first method which automatically predicts NPH from CT scans and incorporates diffusion tractography information for prediction. Introduction. Due to their low cost and high versatility, CT scans are often used in NPH diagnosis. No well-defined and effective protocol currently exists for analysis of CT scans for NPH. Evans’ index, an approximation of the ventricle to brain volume using one 2D image slice, has been proposed but is not robust. The proposed approach is an effective way to quantify regions of interest and offers a computational method for predicting NPH. Methods. We propose a novel method to predict NPH by combining regions of interest segmented from CT scans with connectome data to compute features which capture the impact of enlarged ventricles by excluding fiber tracts passing through these regions. The segmentation and network features are used to train a model for NPH prediction. Results. Our method outperforms the current state-of-the-art by 9 precision points and 29 recall points. Our segmentation model outperforms the current state-of-the-art in segmenting the ventricle, gray-white matter, and subarachnoid space in CT scans. Conclusion. Our experimental results demonstrate that fast and accurate volumetric segmentation of CT brain scans can help improve the NPH diagnosis process, and network properties can increase NPH prediction accuracy.

The timed up and go test in idiopathic normal pressure hydrocephalus: a Nationwide Study of 1300 patients

Background The aim of this study was to describe the outcome measure timed up and go (TUG) in a large, nationwide cohort of patients with idiopathic normal pressure hydrocephalus (iNPH) pre- and post-operatively. Furthermore, to compare the TUG test to the 10-m walk test (10MWT), the iNPH scale, the modified Rankin scale (mRS) and the Mini Mental State Examination (MMSE), which are commonly applied in clinical assessment of iNPH. Methods Patients with iNPH (n = 1300), registered in the Swedish Hydrocephalus Quality Registry (SHQR), were included. All data were retrieved from the SHQR except the 10MWT, which was collected from patient medical records. Clinical scales were examined pre- and 3 months post-operatively. Data were dichotomised by sex, age, and preoperative TUG time. Results Preoperative TUG values were 19.0 [14.0–26.0] s (median [IQR]) and 23 [18–30] steps. Post-operatively, significant improvements to 14.0 [11.0–20.0] s and 19 [15–25] steps were seen. TUG time and steps were higher in women compared to men (p < 0.001) but there was no sex difference in improvement rate. Worse preoperative TUG and younger age favoured improvement. TUG was highly correlated to the 10MWT, but correlations of post-operative changes were only low to moderate between all scales (r = 0.22–0.61). Conclusions This study establishes the distribution of TUG in iNPH patients and shows that the test captures important clinical features that improve after surgery independent of sex and in all age groups, confirming the clinical value of the TUG test. TUG performance is associated with performance on the 10MWT pre- and post-operatively. However, the weak correlations in post-operative change to the 10MWT and other established outcome measures indicate an additional value of TUG when assessing the effects of shunt surgery.

Waiting time for surgery influences the outcome in idiopathic normal pressure hydrocephalus — a population-based study

Introduction Idiopathic normal pressure hydrocephalus (iNPH) is a disease that comes with a great impact on the patient’s life. The only treatment for iNPH, which is a progressive disease, is shunt surgery. It is previously indicated that early intervention might be of importance for the outcome. Aim To investigate if a longer waiting time for surgery, negatively influences the clinical outcome. Methods Eligible for this study were all iNPH patients (n = 3007) registered in the Swedish Hydrocephalus Quality Registry (SHQR) during 1st of January 2004–12th of June 2019. Waiting time, defined as time between the decision to accept a patient for surgery and shunt surgery, was divided into the intervals ≤ 3, 3.1–5.9 and ≥ 6 months. Clinical outcome was assessed 3 and 12 months after surgery using the modified iNPH scale, the Timed Up and Go (TUG) test and the mini mental state examination (MMSE). Results Three months after surgery, 57% of the patients with ≤ 3 months waiting time showed an improvement in modified iNPH scale (≥ 5 points) whereas 52% and 46% of patients with 3.1–5.9 and ≥ 6 months waiting time respectively improved (p = 0.0115). At 12 months of follow-up, the corresponding numbers were 61%, 52% and 51% respectively (p = 0.0536). Conclusions This population-based study showed that in patients with iNPH, shunt surgery should be performed within 3 months of decision to surgery, to attain the best outcome.

Change in Balance and Neuropsychological Measures Post-Lumbar Drain Trial in Patients with Suspected Normal Pressure Hydrocephalus

<b><i>Objective:</i></b> Ventriculoperitoneal (VP) shunting is commonly used to treat normal pressure hydrocephalus (NPH). Assessment of cognition and balance pre- and post-lumbar drain (LD) can be used to provide objective metrics which may help determine the potential benefit of VP shunting. The aim of this investigation was to determine which measures identify clinical change as a result of a LD trial and to develop recommendations for standard NPH clinical assessment procedures. <b><i>Methods:</i></b> The Berg Balance Scale (BBS) and a brief battery of commonly used neuropsychological tests pre- and post-LD (MMSE, trail making test, animal fluency, Hopkins Verbal Learning Test – Revised, and digit span) were administered to 86 patients with a diagnosis of NPH. Subjects were divided into groups based on whether or not clinical change was present, and thus, VP shunting was recommended post-LD, and predictors of group membership were examined. <b><i>Results:</i></b> Significant improvements (<i>p</i> &#x3c; 0.05) were seen on the BBS and Trail Making Part B in the VP shunt-recommended group, with no other significant changes over time in either group. Regression analyses found that VP shunt recommendation was accurately predicted for 80% of the sample using the BBS score alone, with accuracy increasing to 85% when Trails B was added. <b><i>Conclusions:</i></b> Scores from the BBS and Trails B were most likely to change in those chosen to undergo VP shunting post-LD. Given that the typical clinical presentation of NPH includes gait disturbance and cognitive impairment, it is recommended that a standard pre-/post-LD evaluation include the BBS and trail making test.