Predictors of Satisfactory Surgical Outcome in Idiopathic Normal Pressure Hydrocephalus (Review)
Idiopathic normal pressure hydrocephalus is a widespread neurodegenerative disease of the elderly. If not treated surgically early, it results in a severe decrease in quality of life and disability. According to current clinical Russian and foreign guidelines the candidates for CSF shunting procedures are selected based on the results of invasive tests, though treatment outcomes are not always optimal. At the same time, in the last decade there have been published a number of studies on promising noninvasive diagnosis and prognosis of the surgical treatment of idiopathic normal pressure hydrocephalus based on neuroimaging findings.
The aim of the present systematic review is to demonstrate the most promising imaging predictors of satisfactory outcomes of CSF shunting procedures in patients with idiopathic normal pressure hydrocephalus based on published literature data.
Introduction
Idiopathic normal pressure hydrocephalus (iNPH, Hakim–Adams syndrome) is a steadily progressive neurodegenerative disease, as a rule occurring in patients over 60, and characterized by an extension of CSF-containing brain spaces against the background of normal cerebrospinal fluid pressure, and represented by a triad of symptoms: impaired gait, cognitive sphere and pelvic organs functioning (Hakim–Adams triad). A unique characteristic of iNPH is possible complete or partial regress of symptoms in case of early surgical treatment — cerebrospinal fluid (CSF) shunting procedures [1]. However, according to large series of observations [2–7], patients’ improvement after CSF shunting procedures starts on average in 70.4% cases. No dynamics in patient’s state after CSF shunting procedures can be related to both: iNPH misdiagnosis (iNPH can be easily taken for other disease with similar presentation, e.g. Alzheimer’s disease, Parkinson’s disease, Binswanger’s disease, frontotemporal dementia, etc.), as well as with the surgery performed in the period of the disease when the symptoms are irreversible [8–11]. However, CSF shunting procedures are risk-bearing of complications including severe and life-threatening ones (Table 1).
Table 1. CSF shunting procedure efficiency in idiopathic normal pressure hydrocephaly (%) |
According to current clinical recommendations [1, 12, 13], a decision on performing CSF shunting procedures is taken based on invasive diagnostic techniques. A systematic review by Thavarajasingam et al. [14] showed that among invasive techniques used for CSF shunting procedure outcome prognosis, the most effective (in decreasing order) ones are: intra-cranial pressure (ICP) monitoring using a parenchymatous sensor, prolonged external lumbar drainage of cerebrospinal fluid, an infusion-loading test and a tap test. The mentioned diagnostic procedures enhance the likelihood of CSF shunting procedure favorable outcome; however, do not ensure the postoperative neurological deficit regress. Moreover, the procedures are associated with the necessity of admission to a special hospital to carry out surgeries — lumbar puncture, external lumbar drainage or ICP sensor. Therefore, according to the polling of specialists involved in the disease treatment, the development of a save noninvasive technique for iNPH diagnosis is one of priority tasks for clinical research [15]. At the same time, a detailed volumetric analysis of brain structures and compartments based on MRI is indicative of high prognostic efficiency of the method in revealing the patients, in whom CSF shunting procedures are to result in positive dynamics of symptoms [16]. Similar findings were also obtained in morphometric assessment of grey matter in patients with hydrocephaly [17]. Thus, there are there are objective grounds to believe that the brain morphology changes revealed by neuroimaging in iNPH can serve as predictors of CSF shunting procedure favorable outcome.
The aim of the present review is to analyze the literature data on the most valuable imaging symptoms of idiopathic normal pressure hydrocephalus in relation to CSF shunting procedure prognosis.
Materials and Methods
The present systematic review is carried out in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria [18]. The literature was searched in databases: RSCI, PubMed/MEDLINE, Scopus, Web of Science, as well as using a searching system Google Scholar. Furthermore, there were selected the publications referring to the articles found as cited by, or those have similar descriptions (similar articles). After excluding the works, which are doubled in several sources, the bibliographic data and abstracts of the rest articles were studied concerning inclusion criteria match.
The study is a systematic review requiring no Ethics Committee approval.
The review includes the works carried out not until 2013, in Russian and English, having access to a full text (or an abstract with all necessary data), which describe the investigations devoted to detection of imaging predictors of CSF shunting procedure favorable outcome in iNPH patients. Figure 1 demonstrates the stages of literature search.
Figure 1. Methods for literature search for a systematic review |
Results
The review includes 23 [6, 9, 16, 19–38] studies (22 original works and 1 meta-analysis). The analyzed predictors of CSF shunting procedure outcome were admitted reliable in 14 publications, while 9 ones revealed no statistically significant differences in surgery outcomes between the patients with and without the studied symptoms. Table 2 represents the imaging predictors of CSF shunting procedure outcomes stated through literature data analysis and ranged by the number of studies found them.
Table 2. Rating of CSF shunting procedure outcome predictors revealed in the review |
MR-signal changes in the white brain matter, cingulate gyrus size, ventricle III diameter and ventricle IV size, great longitudinal fissure extension, CSF movement artefacts, hippocampal atrophy signs, the vertical size of the lateral ventricles and their roof bulging, SILVER-index value according to literature data cannot be considered as imaging predictors of CSF shunting procedure outcome in iNPH patients. Table 3 demonstrates the generalized systematic review findings.
|
Table 3. Brief description of study findings included in a systemic review |
Discussion
The idea of limiting or complete refusal of invasive studies for CSF shunting procedure outcome prognosis is dictated by the following reasons.
Firstly, their use is risky, since the complication rate of external lumbar CSF drainage reaches 8.2%, and among them 3% are severe complications (subdural hematomas, infectious complications, etc.) [26].
Secondly, a positive result of the studies does not ensure any improvement in patient’s CSF shunting procedure postoperative state, while a negative result does not always enable to rule out iNPH. For instance, the presence of marked degenerative and dystrophic spinal changes in elderly patients can result in false results of tap-test, infusion-loading test and prolonged external lumbar CSF drainage [39].
Thirdly, the use of invasive studies requires inpatient treatment. Based on the analysis of cost-effectiveness and complication risks when using invasive iNPH diagnostic techniques, Eide et al. [40] indicated the necessity to search for other ways of CSF shunting procedure outcome prognosis.
Fourthly, the necessity to perform an invasive procedure for diagnostic purposes frequently decreases medication adherence and increases the time interval between the onset of iNPH symptoms and CSF shunting procedures. Moreover, some researchers prove conclusively that this parameter has a great influence on treatment result [9, 10, 41]. The patients operated on within the first 3 months after iNPH diagnosis is made appear to have the best outcome [10]. This fact also indicates the necessity of early disease detection and reduction of decision making period of CSF shunting procedures.
The third edition of Guidelines for management of iNPH by the Japanese Society of Normal Pressure Hydrocephalus [13] for the first time has assigned the possibility to make an iNPH diagnosis without invasive studies: DESH syndrome is recognized to be a diagnostic criterion equally ranking with a spinal tap test and prolonged lumbar CSF drainage.
Apart from DESH syndrome, various neuroimaging criteria were studied concerning CSF shunting procedure outcome prognosis. They are accepted to be distinguished into morphological and physiological [42]. Morphological symptoms include the changes of brain structures and spatial relationship of its parts (Evans index, DESH syndrome, callosal angle variation, periventricular changes, irregular extension of convexital subarachnoid spaces, the extension of temporal horns of lateral ventricles, etc.) revealed, as a rule, by routine procedures methods — CT and standard sequences of brain MRI. Physiological symptoms include the changes of the parameters determined by complex specialized techniques — CT- and MR-perfusion, MR-CSF dynamics, lymph MRI, as well as the changes in blood flow parameters in cerebral arteries and veins [43] and others.
According to the findings of meta-analysis performed by Thavarajasingam et al. [28], among the analyzed radiological symptoms (DESH syndrome, callosal angle, periventricular changes, cerebral blood flow, and cisternography findings) only callosal angle value and periventricular changes significantly differed between patients groups with positive and negative CSF shunting procedure outcome, except that the prognostic value of the parameters is not high. The authors marked the necessity to study the capabilities of a complex evaluation of neuroimaging symptoms for CSF shunting procedure outcome prognosis. A systematic review by Carlsen et al. [42] based on the analyzed 27 publications showed similar data. The findings of the present review correspond to the data: Table 2 and Table 3 demonstrate that just few imaging symptoms under study significantly differ in a group of patients with positive CSF shunting procedure outcome.
In an effort to improve efficiency of CSF shunting procedure outcome prognosis some authors tried to unite some neuroimaging iNPH symptoms into systems and scales. Ishii et al. [44] were the first who had an attempt to evaluate neuroimaging parameters for iNPH differential diagnosis. As follows from the correlation of Evans index values and colossal angle, the authors to a high precision succeeded in differentiating patients with iNPH, Alzheimer’s disease and those from a control group [44]. The best known scale for iNPH diagnosis by imaging data is iNPH Radscale including 7 parameters evaluated on brain computed tomograms [45]. The scale peculiarities are the assessment of morphological changes of brain structures according to CT, as well as no analysis of “contribution” of each parameter into iNPH diagnosis. It is just the thing related to the criticism by some researchers [19, 21, 33].
Gavrilov et al. [33] had an attempt to group the most informative neuroimaging iNPH predictors and unify them into differential diagnostic system using statistical methods of discriminant analysis and classification. The developed system enables to a high precision differentiate between iNPH and the diseases having similar presentation based on a complex assessment of MRI data. Further studies in this sphere aim at assembling to a similar system the predictors of CSF shunting procedure positive outcomes and on the obtained base forming an advanced algorithm of taking clinical decision limiting or completely excluding invasive procedures. Based on the data analysis made in systematic review the authors suggest the following iNPH diagnostic algorithm and candidates’ selection to perform CSF shunting procedures, which unites currently available knowledge (Figure 2).
Figure 2. Suggested diagnostic algorithm of idiopathic normal pressure hydrocephalus (iNPH) and selection of candidates for CSF shunting procedures, based on a systemic review |
The next stage of improving iNPH diagnosis and the selection of candidates for CSF shunting procedures according to neuroimaging data can be the implementation of systems using artificial intelligence and computer-aided learning algorithms [46].
Conclusion
The analysis of the present systemic review established 12 predictors of the positive CSF shunting procedure outcome; the predictors proved their efficiency in the course of clinical studies. Further efforts should aim at uniting the revealed predictors into a system for CSF shunting procedure outcome prognosis. Establishing such system will enable to restrict or completely exclude the necessity to use invasive techniques.
Authors' contributions: A.V. Stanishevskiy, concept and design of the study, literature search, data analysis, writing the text of the article; G.V. Gavrilov, concept of the study, editing the text of the article; M.N. Radkov, literature search; B.G. Adlejba, literature search, writing the text of the article; D.V. Svistov, concept of the study, editing the text of the article.
Study funding. The study had no funding.
Conflict of interest. The authors declare no conflict of interest.
References
- Klinicheskie rekomendatsii. Lechenie normotenzivnoy gidrotsefalii u vzroslykh [Clinical recommendations. Treatment of normal pressure hydrocephalus in adults]. Legzdain M.A., Gavrilov G.V., Svistov D.V. (editors). Saint Petersburg; 2015.
- Hebb A.O., Cusimano M.D. Idiopathic normal pressure hydrocephalus: a systematic review of diagnosis and outcome. Neurosurgery 2001; 49(5): 1166–1184, https://doi.org/10.1097/00006123-200111000-00028.
- Toma A.K., Papadopoulos M.C., Stapleton S., Kitchen N.D., Watkins L.D. Systematic review of the outcome of shunt surgery in idiopathic normal-pressure hydrocephalus. Acta Neurochir (Wien) 2013; 155(10): 1977–1980, https://doi.org/10.1007/s00701-013-1835-5.
- Eide P.K., Sorteberg W. Outcome of surgery for idiopathic normal pressure hydrocephalus: role of preoperative static and pulsatile intracranial pressure. World Neurosurg 2016; 86: 186–193.e1, https://doi.org/10.1016/j.wneu.2015.09.067.
- Giordan E., Palandri G., Lanzino G., Murad M.H., Elder B.D. Outcomes and complications of different surgical treatments for idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. J Neurosurg 2018; 131(4): 1024–1036, https://doi.org/10.3171/2018.5.jns1875.
- Hong Y.J., Kim M.J., Jeong E., Kim J.E., Hwang J., Lee J.I., Lee J.H., Na D.L. Preoperative biomarkers in patients with idiopathic normal pressure hydrocephalus showing a favorable shunt surgery outcome. J Neurol Sci 2018; 387: 21–26, https://doi.org/10.1016/j.jns.2018.01.017.
- Greuter L., Schenker T., Guzman R., Soleman J. Endoscopic third ventriculostomy compared to ventriculoperitoneal shunt as treatment for idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. Br J Neurosurg 2022; 1–7, https://doi.org/10.1080/02688697.2022.2149697.
- Zhade S.A., Kharshudyan E.R., Zyablova E.I., Tkachev V.V., Muzlaev G.G. Differential diagnosis for normotensive hydrocephalus syndrome. Innovacionnaa medicina Kubani 2017; 8(4): 46–52.
- Kimura T., Yamada S., Sugimura T., Seki T., Miyano M., Fukuda S., Takeuchi S., Miyata S., Tucker A., Fujita T., Hashizume A., Izumi N., Kawasaki K., Nakagaki A., Sako K. Preoperative predictive factors of short-term outcome in idiopathic normal pressure hydrocephalus. World Neurosurg 2021; 151: e399–e406, https://doi.org/10.1016/j.wneu.2021.04.055.
- Chidiac C., Sundström N., Tullberg M., Arvidsson L., Olivecrona M. Waiting time for surgery influences the outcome in idiopathic normal pressure hydrocephalus — a population-based study. Acta Neurochir (Wien) 2022; 164(2): 469–478, https://doi.org/10.1007/s00701-021-05085-7.
- Rovira À., Hodel J. Commentary: predictor of shunt response in idiopathic normal pressure hydrocephalus. Neuroradiology 2022; 64(11): 2097–2099, https://doi.org/10.1007/s00234-022-03051-3.
- Halperin J.J., Kurlan R., Schwalb J.M., Cusimano M.D., Gronseth G., Gloss D. Practice guideline: idiopathic normal pressure hydrocephalus: response to shunting and predictors of response: report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology. Neurology 2015; 85(23): 2063–2071, https://doi.org/10.1212/wnl.0000000000002193.
- Nakajima M., Yamada S., Miyajima M., Ishii K., Kuriyama N., Kazui H., Kanemoto H., Suehiro T., Yoshiyama K., Kameda M., Kajimoto Y., Mase M., Murai H., Kita D., Kimura T., Samejima N., Tokuda T., Kaijima M., Akiba C., Kawamura K., Atsuchi M., Hirata Y., Matsumae M., Sasaki M., Yamashita F., Aoki S., Irie R., Miyake H., Kato T., Mori E., Ishikawa M., Date I., Arai H.; Research committee of idiopathic normal pressure hydrocephalus. Guidelines for management of idiopathic normal pressure hydrocephalus (third edition): endorsed by the Japanese Society of Normal Pressure Hydrocephalus. Neurol Med Chir (Tokyo) 2021; 61(2): 63–97, https://doi.org/10.2176/nmc.st.2020-0292.
- Thavarajasingam S.G., El-Khatib M., Rea M., Russo S., Lemcke J., Al-Nusair L., Vajkoczy P. Clinical predictors of shunt response in the diagnosis and treatment of idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis. Acta Neurochir (Wien) 2021; 163(10): 2641–2672, https://doi.org/10.1007/s00701-021-04922-z.
- Jakopin N.E., Myong E., Bogucki T., Gray D., Gross P., McComb J.G., Shannon C.N., Tamber M.S., Toyama M., van der Willigen T., Yazdani A., Hamilton M.G., Koschnitzky J.E. Establishing ranked priorities for future hydrocephalus research. J Neurosurg 2022; 139(2): 492–501, https://doi.org/10.3171/2022.10.jns22753.
- Wu D., Moghekar A., Shi W., Blitz A.M., Mori S. Systematic volumetric analysis predicts response to CSF drainage and outcome to shunt surgery in idiopathic normal pressure hydrocephalus. Eur Radiol 2021; 31(7): 4972–4980, https://doi.org/10.1007/s00330-020-07531-z.
- Pashkova A.A., Fokin V.A., Efimtsev A.Yu., Gavrilov G.V., Trufanov A.G. Magnetic resonance multivoxel morphometry in gray patter assessment in patients with hydrocephaly. Vestnik Rossijskoj Voenno-medicinskoj akademii 2012; 3: 201–205.
- Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., Chou R., Glanville J., Grimshaw J.M., Hróbjartsson A., Lalu M.M., Li T., Loder E.W., Mayo-Wilson E., McDonald S., McGuinness L.A., Stewart L.A., Thomas J., Tricco A.C., Welch V.A., Whiting P., Moher D. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372: n71, https://doi.org/10.1136/bmj.n71.
- Chen J., He W., Zhang X., Lv M., Zhou X., Yang X., Wei H., Ma H., Li H., Xia J. Value of MRI-based semi-quantitative structural neuroimaging in predicting the prognosis of patients with idiopathic normal pressure hydrocephalus after shunt surgery. Eur Radiol 2022; 32(11): 7800–7810, https://doi.org/10.1007/s00330-022-08733-3.
- Snöbohm C., Malmberg F., Freyhult E., Kultima K., Fällmar D., Virhammar J. White matter changes should not exclude patients with idiopathic normal pressure hydrocephalus from shunt surgery. Fluids Barriers CNS 2022; 19(1): 35, https://doi.org/10.1186/s12987-022-00338-8.
- Laticevschi T., Lingenberg A., Armand S., Griffa A., Assal F., Allali G. Can the radiological scale “iNPH Radscale” predict tap test response in idiopathic normal pressure hydrocephalus? J Neurol Sci 2021; 420: 117239, https://doi.org/10.1016/j.jns.2020.117239.
- Skalický P., Vlasák A., Mládek A., Vrána J., Bajaček M., Whitley H., Beneš V., Bradáč O. 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, https://doi.org/10.1016/j.jocn.2020.11.020.
- Agerskov S., Wallin M., Hellström P., Ziegelitz D., Wikkelsö C., Tullberg M. Absence of disproportionately enlarged subarachnoid space hydrocephalus, a sharp callosal angle, or other morphologic MRI markers should not be used to exclude patients with idiopathic normal pressure hydrocephalus from shunt surgery. AJNR Am J Neuroradiol 2019; 40(1): 74–79, https://doi.org/10.3174/ajnr.a5910.
- Ahmed A.K., Luciano M., Moghekar A., Shin J., Aygun N., Sair H.I., Rigamonti D., Blitz A.M. Does the presence or absence of DESH predict outcomes in adult hydrocephalus? AJNR Am J Neuroradiol 2018; 39(11): 2022–2026, https://doi.org/10.3174/ajnr.a5820.
- Benedetto N., Gambacciani C., Aquila F., Di Carlo D.T., Morganti R., Perrini P. A new quantitative method to assess disproportionately enlarged subarachnoid space (DESH) in patients with possible idiopathic normal pressure hydrocephalus: the SILVER index. Clin Neurol Neurosurg 2017; 158: 27–32, https://doi.org/10.1016/j.clineuro.2017.04.015.
- Craven C.L., Toma A.K., Mostafa T., Patel N., Watkins L.D. The predictive value of DESH for shunt responsiveness in idiopathic normal pressure hydrocephalus. J Clin Neurosci 2016; 34: 294–298, https://doi.org/10.1016/j.jocn.2016.09.004.
- Kojoukhova M., Koivisto A.M., Korhonen R., Remes A.M., Vanninen R., Soininen H., Jääskeläinen J.E., Sutela A., Leinonen V. Feasibility of radiological markers in idiopathic normal pressure hydrocephalus. Acta Neurochir (Wien) 2015; 157(10): 1709–1718, https://doi.org/10.1007/s00701-015-2503-8.
- Thavarajasingam S.G., El-Khatib M., Vemulapalli K., Iradukunda H.A.S., Sajeenth V.K., Borchert R., Russo S., Eide P.K. 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(2): 369–419, https://doi.org/10.1007/s00701-022-05402-8.
- Johannsson B., Munthe S., Poulsen F.R., Pedersen C.B. Idiopathic normal pressure hydrocephalus; treatment and outcome in the Region of Southern Denmark. Clin Neurol Neurosurg 2022; 213: 107107, https://doi.org/10.1016/j.clineuro.2021.107107.
- Mantovani P., Giannini G., Milletti D., Cevoli S., Valsecchi N., Gramegna L.L., Albini-Riccioli L., Sturiale C., Cortelli P., Lanzino G., Elder B.D., Palandri G.; PRO-HYDRO Study Group. Anterior callosal angle correlates with gait impairment and fall risk in iNPH patients. Acta Neurochir (Wien) 2021; 163(3): 759–766, https://doi.org/10.1007/s00701-020-04699-7.
- Subramanian H.E., Fadel S.A., Matouk C.C., Zohrabian V.M., Mahajan A. The utility of imaging parameters in predicting long-term clinical improvement after shunt surgery in patients with idiopathic normal pressure hydrocephalus. World Neurosurg 2021; 149: e1–e10, https://doi.org/10.1016/j.wneu.2021.02.108.
- Wolfsegger T., Hauser A., Wimmer S., Neuwirth K., Assar H., Topakian R. A comprehensive clinico-radiological, neuropsychological and biomechanical analysis approach to patients with idiopathic normal pressure hydrocephalus. Clin Neurol Neurosurg 2021; 201: 106402, https://doi.org/10.1016/j.clineuro.2020.106402.
- Gavrilov G.V., Stanishevskiy A.V., Gaydar B.V., Svistov D.V., Babichev K.N., Adleyba B.G. Computerized predictive model for differential diagnosis of normal pressure hydrocephalus based on complex analysis of MRI image. Nejrohirurgia 2019; 21(3): 44–51, https://doi.org/10.17650/1683-3295-2019-21-3-44-51.
- Grahnke K., Jusue-Torres I., Szujewski C., Joyce C., Schneck M., Prabhu V.C., Anderson D.E. The quest for predicting sustained shunt response in normal-pressure hydrocephalus: an analysis of the callosal angle’s utility. World Neurosurg 2018; 115: e717–e722, https://doi.org/10.1016/j.wneu.2018.04.150.
- Shinoda N., Hirai O., Hori S., Mikami K., Bando T., Shimo D., Kuroyama T., Kuramoto Y., Matsumoto M., Ueno Y. 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(6): 1436–1442, https://doi.org/10.3171/2016.9.jns161080.
- Garcia-Armengol R., Domenech S., Botella-Campos C., Goncalves F.J., Menéndez B., Teixidor P., Muñoz-Narbona L., Rimbau J. Comparison of elevated intracranial pressure pulse amplitude and disproportionately enlarged subarachnoid space (DESH) for prediction of surgical results in suspected idiopathic normal pressure hydrocephalus. Acta Neurochir (Wien) 2016; 158(11): 2207–2213, https://doi.org/10.1007/s00701-016-2858-5.
- Narita W., Nishio Y., Baba T., Iizuka O., Ishihara T., Matsuda M., Iwasaki M., Tominaga T., Mori E. High-convexity tightness predicts the shunt response in idiopathic normal pressure hydrocephalus. AJNR Am J Neuroradiol 2016; 37(10): 1831–1837, https://doi.org/10.3174/ajnr.a4838.
- Virhammar J., Laurell K., Cesarini K.G., Larsson E.M. Preoperative prognostic value of MRI findings in 108 patients with idiopathic normal pressure hydrocephalus. AJNR Am J Neuroradiol 2014; 35(12): 2311–2318, https://doi.org/10.3174/ajnr.a4046.
- Komotar R.J., Zacharia B.E., Mocco J., Kaiser M.G., Frucht S.J., McKhann G.M. II. Cervical spine disease may result in a negative lumbar spinal drainage trial in normal pressure hydrocephalus: case report. Neurosurgery 2008; 63(4 Suppl 2): 315, https://doi.org/10.1227/01.neu.0000327030.72226.d6.
- Eide P.K., Sorteberg W. Invasive tests for predicting shunt response in idiopathic normal pressure hydrocephalus: the risk aspect. Acta Neurochir (Wien) 2022; 164(2): 481–482, https://doi.org/10.1007/s00701-021-05050-4.
- Vakili S., Moran D., Hung A., Elder B.D., Jeon L., Fialho H., Sankey E.W., Jusué-Torres I., Goodwin C.R., Lu J., Robison J., Rigamonti D. Timing of surgical treatment for idiopathic normal pressure hydrocephalus: association between treatment delay and reduced short-term benefit. Neurosurg Focus 2016; 41(3): E2, https://doi.org/10.3171/2016.6.focus16146.
- Carlsen J.F., Munch T.N., Hansen A.E., Hasselbalch S.G., Rykkje A.M. Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review. Neuroradiology 2022; 64(11): 2119–2133, https://doi.org/10.1007/s00234-022-03021-9.
- Shakhnovich A.R., Shakhnovich V.A. Cerebral venous orthostatic reaction (CVOR) in patient with hydrocephalus and intracranial hypertension. Nejrohirurgia i nevrologia detskogo vozrasta 2013; 3: 11–25.
- Ishii K., Kanda T., Harada A., Miyamoto N., Kawaguchi T., Shimada K., Ohkawa S., Uemura T., Yoshikawa T., Mori E. Clinical impact of the callosal angle in the diagnosis of idiopathic normal pressure hydrocephalus. Eur Radiol 2008; 18(11): 2678–2683, https://doi.org/10.1007/s00330-008-1044-4.
- Kockum K., Lilja-Lund O., Larsson E.M., Rosell M., Söderström L., Virhammar J., Laurell K. The idiopathic normal-pressure hydrocephalus Radscale: a radiological scale for structured evaluation. Eur J Neurol 2018; 25(3): 569–576, https://doi.org/10.1111/ene.13555.
- Aliev Z.Sh., Gavrilov G.V., Svistov D.V. Application of artificial intelligence systems in the diagnosis of idiopathic normotensive hydrocephalus. Rossijskij nejrohirurgiceskij zurnal im. professora A.L. Polenova 2022; 14(S1): 111–112.