scholarly journals In Reply: Commentary: Idiopathic Normal-Pressure Hydrocephalus: Diagnostic Accuracy of Automated Sulcal Morphometry in Patients With Ventriculomegaly

Neurosurgery ◽  
2020 ◽  
Vol 87 (5) ◽  
pp. E613-E614
Author(s):  
Elizabeth N Alford ◽  
Lauren E Rotman ◽  
Kristen O Riley
PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0232275 ◽  
Author(s):  
Karin Kockum ◽  
Johan Virhammar ◽  
Katrine Riklund ◽  
Lars Söderström ◽  
Elna-Marie Larsson ◽  
...  

Neurosurgery ◽  
2019 ◽  
Vol 85 (4) ◽  
pp. E747-E755 ◽  
Author(s):  
Grégory Kuchcinski ◽  
Caroline Jacquiez ◽  
Marc Baroncini ◽  
François Machuron ◽  
Hélène Béhal ◽  
...  

Abstract BACKGROUND Idiopathic normal-pressure hydrocephalus (iNPH) is a treatable cause of gait and cognitive impairment. iNPH should be differentiated from ventriculomegaly secondary to brain atrophy to choose the best therapeutic option (ventriculoperitoneal shunt vs medical management). OBJECTIVE To determine the diagnostic accuracy of automated sulcal morphometry to differentiate patients with iNPH from patients with ventriculomegaly of neurodegenerative origin. METHODS Thirty-eight consecutive patients with iNPH (shunt responsive n = 31, nonresponsive n = 7), 35 with vascular cognitive disorder, and 25 age- and sex-matched healthy controls were prospectively included and underwent cognitive evaluation and 3T brain magnetic resonance imaging. Sulcal opening of 10 sulci of interest was retrospectively measured using an automated surface-based approach from the 3-dimensional T1-weighted images. Receiver-operating characteristic curve analyses determined the best parameter to identify iNPH patients. RESULTS The best parameter to discriminate shunt-responsive iNPH from patients with vascular cognitive disorder and healthy controls was the ratio between calcarine sulcus and cingulate sulcus opening with an area under the curve of 0.94 (95% CI: 0.89, 0.99). A cut-off value of 0.95 provided the highest sensitivity (96.8%) and specificity (83.3%). CONCLUSION This preliminary study showed that automated sulcal morphometry may help the neurosurgeon to identify iNPH patients and to exclude other causes of ventriculomegaly.


Author(s):  
Chaejin Lee ◽  
Hyunwoo Seo ◽  
Sang-Youl Yoon ◽  
Sung Hyun Chang ◽  
Seong-Hyun Park ◽  
...  

Author(s):  
Massimiliano Todisco ◽  
Francesca Valentino ◽  
Enrico Alfonsi ◽  
Giuseppe Cosentino

2019 ◽  
Vol 19 (6) ◽  
pp. 557-565
Author(s):  
Takashi Suehiro ◽  
Hiroaki Kazui ◽  
Hideki Kanemoto ◽  
Kenji Yoshiyama ◽  
Shunsuke Sato ◽  
...  

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