MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm

References

1. 1.↵
   1. Hellström P,
   2. Klinge P,
   3. Tans J, et al

   . A new scale for assessment of severity and outcome in iNPH. Acta Neurol Scand 2012;126:229–37 doi:10.1111/j.1600-0404.2012.01677.x pmid:22587624

   CrossRefPubMed
2. 2.↵
   1. Klinge P,
   2. Hellström P,
   3. Tans J

   ; European iNPH Multicentre Study Group, et al. One-year outcome in the European multicentre study on iNPH. Acta Neurol Scand 2012;126:145–53 doi:10.1111/j.1600-0404.2012.01676.x pmid:22571428

   CrossRefPubMed
3. 3.↵
   1. Relkin N,
   2. Marmarou A,
   3. Klinge P, et al

   . Diagnosing idiopathic normal-pressure hydrocephalus. Neurosurgery 2005;57:S4–16 doi:10.1227/01.neu.0000168185.29659.c5 pmid:16160425

   CrossRefPubMed
4. 4.↵
   1. Bradley WG Jr.

   CSF flow in the brain in the context of normal pressure hydrocephalus. AJNR AJNR Am J Neuroradiol 2015;36:831–38 doi:10.3174/ajnr.A4124 pmid:25355813

   CrossRefPubMed
5. 5.↵
   1. Rigamonti D,
   2. Yasar S,
   3. Vivas-Buitrago T, et al

   . Letter to our colleagues family practitioners, geriatricians, and radiologists to increase awareness regarding idiopathic normal pressure hydrocephalus. World Neurosurg 2023;181:e291–93 doi:10.1016/j.wneu.2023.10.040 pmid:37832641

   CrossRefPubMed
6. 6.↵
   1. Daou B,
   2. Klinge P,
   3. Tjoumakaris S, et al

   . Revisiting secondary normal pressure hydrocephalus: does it exist? A review. Neurosurg Focus 2016;41:E6 doi:10.3171/2016.6.FOCUS16189 pmid:27581318

   CrossRefPubMed
7. 7.↵
   1. Alvi MA,
   2. Brown D,
   3. Yolcu Y, et al

   . Prevalence and trends in management of idiopathic normal pressure hydrocephalus in the United States: insights from the National Inpatient Sample. World Neurosurg 2021;145:e38–52 doi:10.1016/j.wneu.2020.09.012 pmid:32916365

   CrossRefPubMed
8. 8.↵
   1. Giordan E,
   2. Palandri G,
   3. Lanzino G, et al

   . Outcomes and complications of different surgical treatments for idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. J Neurosurg 2018;131:1024–36 pmid:30497150

   CrossRefPubMed
9. 9.↵
   1. El Ahmadieh TY,
   2. Wu EM,
   3. Kafka B, et al

   . Lumbar drain trial outcomes of normal pressure hydrocephalus: a single-center experience of 254 patients. J Neurosurg 2019;132:306–12 doi:10.3171/2018.8.JNS181059 pmid:30611143

   CrossRefPubMed
10. 10.↵
    1. Ishikawa M,
    2. Hashimoto M,
    3. Mori E, et al

    . The value of the cerebrospinal fluid tap test for predicting shunt effectiveness in idiopathic normal pressure hydrocephalus. Fluids Barriers CNS 2012;9:1 doi:10.1186/2045-8118-9-1 pmid:22239832

    CrossRefPubMed
11. 11.↵
    1. Lotan E,
    2. Damadian BE,
    3. Rusinek H, et al

    . Quantitative imaging features predict spinal tap response in normal pressure hydrocephalus. Neuroradiology 2022;64:473–81 doi:10.1007/s00234-021-02782-z pmid:34417636

    CrossRefPubMed
12. 12.↵
    1. Rydja J,
    2. Eleftheriou A,
    3. Lundin F

    . Evaluating the cerebrospinal fluid tap test with the Hellström iNPH scale for patients with idiopathic normal pressure hydrocephalus. Fluids Barriers CNS 2021;18:18 doi:10.1186/s12987-021-00252-5 pmid:33827613

    CrossRefPubMed
13. 13.↵
    1. Israelsson H,
    2. Larsson J,
    3. Eklund A, et al

    . Risk factors, comorbidities, quality of life, and complications after surgery in idiopathic normal pressure hydrocephalus: review of the INPH-CRasH study. Neurosurg Focus 2020;49:E8 doi:10.3171/2020.7.FOCUS20466 pmid:33002861

    CrossRefPubMed
14. 14.↵
    1. Klinge PM,
    2. Ma KL,
    3. Leary OP, et al

    . Charlson comorbidity index applied to shunted idiopathic normal pressure hydrocephalus. Sci Rep 2023;13:5111 doi:10.1038/s41598-023-32088-4 pmid:36991111

    CrossRefPubMed
15. 15.↵
    1. Pyykkö OT,
    2. Nerg O,
    3. Niskasaari HM, et al

    . Incidence, comorbidities, and mortality in idiopathic normal pressure hydrocephalus. World Neurosurg 2018;112:e624–31 doi:10.1016/j.wneu.2018.01.107 pmid:29374607

    CrossRefPubMed
16. 16.↵
    1. Skalický P,
    2. Vlasák A,
    3. Mládek A, et al

    . Role of DESH, callosal angle and cingulate sulcus sign in prediction of gait responsiveness after shunting in iNPH patients. J Clin Neurosci 2021;83:99–107 doi:10.1016/j.jocn.2020.11.020 pmid:33334664

    CrossRefPubMed
17. 17.↵
    1. Thavarajasingam SG,
    2. El-Khatib M,
    3. Vemulapalli K, et al

    . Radiological predictors of shunt response in the diagnosis and treatment of idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. Acta Neurochir (Wien) 2023;165:369–419 doi:10.1007/s00701-022-05402-8 pmid:36435931

    CrossRefPubMed
18. 18.↵
    1. Reiss-Zimmermann M,
    2. Scheel M,
    3. Dengl M, et al

    . The influence of lumbar spinal drainage on diffusion parameters in patients with suspected normal pressure hydrocephalus using 3T MRI. Acta Radiology 2014;55:622–30 doi:10.1177/0284185113502334 pmid:23996504

    CrossRefPubMed
19. 19.↵
    1. van Swieten JC,
    2. Koudstaal PJ,
    3. Visser MC, et al

    . Interobserver agreement for the assessment of handicap in stroke patients. Stroke 1988;19:604–07 doi:10.1161/01.str.19.5.604 pmid:3363593

    Abstract/FREE Full Text
20. 20.↵
    1. Feng X,
    2. Tustison NJ,
    3. Patel SH, et al

    . Brain tumor segmentation using an ensemble of 3D U-Nets and overall survival prediction using radiomic features. Front Comput Neurosci 2020;14:25 doi:10.3389/fncom.2020.00025 pmid:32322196

    CrossRefPubMed
21. 21.↵
    1. Marmarou A,
    2. Bergsneider M,
    3. Klinge P, et al

    . The value of supplemental prognostic tests for the preoperative assessment of idiopathic normal-pressure hydrocephalus. Neurosurgery 2005;57:S17–28 doi:10.1227/01.neu.0000168184.01002.60 pmid:16160426

    CrossRefPubMed
22. 22.↵
    1. Hallqvist C,
    2. Grönstedt H,
    3. Arvidsson L

    . Gait, falls, cognitive function, and health-related quality of life after shunt-treated idiopathic normal pressure hydrocephalus-a single-center study. Acta Neurochir (Wien) 2022;164:2367–73 doi:10.1007/s00701-022-05309-4 pmid:35831723

    CrossRefPubMed
23. 23.↵
    1. Tullberg M,
    2. Persson J,
    3. Petersen J, et al

    . Shunt surgery in idiopathic normal pressure hydrocephalus is cost-effective-a cost utility analysis. Acta Neurochir (Wien) 2018;160:509–18 doi:10.1007/s00701-017-3394-7 pmid:29150794

    CrossRefPubMed
24. 24.↵
    1. Shinoda N,
    2. Hirai O,
    3. Hori S, et al

    . Utility of MRI-based disproportionately enlarged subarachnoid space hydrocephalus scoring for predicting prognosis after surgery for idiopathic normal pressure hydrocephalus: clinical research. J Neurosurg 2017;127:1436–42 doi:10.3171/2016.9.JNS161080 pmid:28156249

    CrossRefPubMed
25. 25.↵
    1. Kockum K,
    2. Lilja-Lund O,
    3. Larsson EM, et al

    . The idiopathic normal-pressure hydrocephalus Radscale: a radiological scale for structured evaluation. Eur J Neurol 2018;25:569–76 doi:10.1111/ene.13555 pmid:29281156

    CrossRefPubMed
26. 26.↵
    1. Shao M,
    2. Han S,
    3. Carass A, et al

    . Brain ventricle parcellation using a deep neural network: application to patients with ventriculomegaly. Neuroimage Clin 2019;23:101871 doi:10.1016/j.nicl.2019.101871 pmid:31174103

    CrossRefPubMed
27. 27.↵
    1. Rau A,
    2. Kim S,
    3. Yang S, et al

    . SVM-based normal pressure hydrocephalus detection. Clin Neuroradiol 2021;31:1029–35 doi:10.1007/s00062-020-00993-0 pmid:33496810

    CrossRefPubMed
28. 28.↵
    1. Zhou X,
    2. Ye Q,
    3. Yang X, et al

    . AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus. Neural Comput Appl 2022;35:1–10 doi:10.1007/s00521-022-07048-0 pmid:35228779

    CrossRefPubMed
29. 29.↵
    1. Tsou CH,
    2. Cheng YC,
    3. Huang CY, et al

    . Using deep learning convolutional neural networks to automatically perform cerebral aqueduct CSF flow analysis. J Clin Neurosci 2021;90:60–67 doi:10.1016/j.jocn.2021.05.010 pmid:34275582

    CrossRefPubMed
30. 30.↵
    1. Klinge PM,
    2. Brooks DJ,
    3. Samii A, et al

    . Correlates of local cerebral blood flow (CBF) in normal pressure hydrocephalus patients before and after shunting–a retrospective analysis of [(15)O]H(2)O PET-CBF studies in 65 patients. Clin Neurol Neurosurg 2008;110:369–75

    CrossRefPubMedWeb of Science
31. 31.↵
    1. Quinn TJ,
    2. Dawson J,
    3. Walters MR, et al

    . Functional outcome measures in contemporary stroke trials. Int J Stroke 2009;4:200–05 doi:10.1111/j.1747-4949.2009.00271.x pmid:19659822

    CrossRefPubMedWeb of Science
32. 32.↵
    1. Grønning R,
    2. Jeppsson A,
    3. Hellström P, et al

    . Association between ventricular CSF biomarkers and outcome after shunt surgery in idiopathic normal pressure hydrocephalus. Fluids Barriers CNS 2023;20:77 doi:10.1186/s12987-023-00475-8 pmid:37880775

    CrossRefPubMed
33. 33.↵
    1. Levin Z,
    2. Leary OP,
    3. Mora V, et al

    . Cerebrospinal fluid transcripts may predict shunt surgery responses in normal pressure hydrocephalus. Brain 2023;146:3747–59 doi:10.1093/brain/awad109 pmid:37208310

    CrossRefPubMed
34. 34.↵
    1. Valsecchi N,
    2. Mantovani P,
    3. Piserchia VA, et al

    . The role of simultaneous medical conditions in idiopathic normal pressure hydrocephalus. World Neurosurg 2022;157:e29–39 doi:10.1016/j.wneu.2021.09.071 pmid:34562629

    CrossRefPubMed
35. 35.↵
    1. Koo AB,
    2. Elsamadicy AA,
    3. Renedo D, et al

    . Hospital frailty risk score predicts adverse events and readmission following a ventriculoperitoneal shunt surgery for normal pressure hydrocephalus. World Neurosurg 2023;170:e9–20 doi:10.1016/j.wneu.2022.08.037 pmid:35970293

    CrossRefPubMed
36. 36.↵
    1. Davis A,
    2. Gulyani S,
    3. Manthripragada L, et al

    . Evaluation of the effect comorbid Parkinson syndrome on normal pressure hydrocephalus assessment. Clin Neurol Neurosurg 2021;207:106810 doi:10.1016/j.clineuro.2021.106810 pmid:34280677

    CrossRefPubMed
37. 37.↵
    1. Giannakopoulos P,
    2. Montandon ML,
    3. Herrmann FR, et al

    . Alzheimer resemblance atrophy index, BrainAGE, and normal pressure hydrocephalus score in the prediction of subtle cognitive decline: added value compared to existing MR imaging markers. Eur Radiology 2022;32:7833–42 doi:10.1007/s00330-022-08798-0 pmid:35486172

    CrossRefPubMed