Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review

Research output: Contribution to journalReviewResearchpeer-review

Standard

Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review. / Carlsen, Jonathan Frederik; Munch, Tina Nørgaard; Hansen, Adam Espe; Hasselbalch, Steen Gregers; Rykkje, Alexander Malcolm.

In: Neuroradiology, Vol. 64, No. 11, 2022, p. 2119-2133.

Research output: Contribution to journalReviewResearchpeer-review

Harvard

Carlsen, JF, Munch, TN, Hansen, AE, Hasselbalch, SG & Rykkje, AM 2022, 'Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review', Neuroradiology, vol. 64, no. 11, pp. 2119-2133. https://doi.org/10.1007/s00234-022-03021-9

APA

Carlsen, J. F., Munch, T. N., Hansen, A. E., Hasselbalch, S. G., & Rykkje, A. M. (2022). Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review. Neuroradiology, 64(11), 2119-2133. https://doi.org/10.1007/s00234-022-03021-9

Vancouver

Carlsen JF, Munch TN, Hansen AE, Hasselbalch SG, Rykkje AM. 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

Author

Carlsen, Jonathan Frederik ; Munch, Tina Nørgaard ; Hansen, Adam Espe ; Hasselbalch, Steen Gregers ; Rykkje, Alexander Malcolm. / Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review. In: Neuroradiology. 2022 ; Vol. 64, No. 11. pp. 2119-2133.

Bibtex

@article{ca83013b1d0a448fa4fee152d15d30a0,
title = "Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review",
abstract = "Purpose: This systematic literature review aimed to identify brain computed tomography (CT) and magnetic resonance imaging (MRI) features that could be used to discriminate idiopathic normal pressure hydrocephalus (iNPH) shunt responders from non-responders. Methods: PubMed, Embase, Web of Science, and Cochrane were searched following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only original research articles reporting preoperative CT and/or MRI features and iNPH shunt response evaluated by changes in gait, dementia, and urinary incontinence were included. Title and abstract screening and full-text article evaluation were done by two authors. Data on patient demographics and inclusion criteria, brain image evaluation, shunting methods, and shunt response evaluation were recorded. Results: The search resulted in 1274 studies after removing duplicates. Twenty-seven studies were chosen for final review. Both structural (i.e., callosal angle, disproportionately enlarged subarachnoid space hydrocephalus (DESH), and temporal horn diameter) and physiological brain imaging (including aqueductal flow measurement and brain perfusion) had been examined. Fourteen out of 27 studies found no difference in any assessed imaging parameters between responders and non-responders, and none of the examined imaging parameters was repeatedly and consistently reported as significantly different between the two groups. Conclusions: No brain imaging parameters were consistently and repeatedly reported as different between iNPH shunt responders and non-responders.",
keywords = "Computed tomography, Idiopathic normal pressure hydrocephalus, Magnetic resonance imaging, Shunt response",
author = "Carlsen, {Jonathan Frederik} and Munch, {Tina N{\o}rgaard} and Hansen, {Adam Espe} and Hasselbalch, {Steen Gregers} and Rykkje, {Alexander Malcolm}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",
year = "2022",
doi = "10.1007/s00234-022-03021-9",
language = "English",
volume = "64",
pages = "2119--2133",
journal = "Neuroradiology",
issn = "0028-3940",
publisher = "Springer",
number = "11",

}

RIS

TY - JOUR

T1 - Can preoperative brain imaging features predict shunt response in idiopathic normal pressure hydrocephalus? A PRISMA review

AU - Carlsen, Jonathan Frederik

AU - Munch, Tina Nørgaard

AU - Hansen, Adam Espe

AU - Hasselbalch, Steen Gregers

AU - Rykkje, Alexander Malcolm

N1 - Publisher Copyright: © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2022

Y1 - 2022

N2 - Purpose: This systematic literature review aimed to identify brain computed tomography (CT) and magnetic resonance imaging (MRI) features that could be used to discriminate idiopathic normal pressure hydrocephalus (iNPH) shunt responders from non-responders. Methods: PubMed, Embase, Web of Science, and Cochrane were searched following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only original research articles reporting preoperative CT and/or MRI features and iNPH shunt response evaluated by changes in gait, dementia, and urinary incontinence were included. Title and abstract screening and full-text article evaluation were done by two authors. Data on patient demographics and inclusion criteria, brain image evaluation, shunting methods, and shunt response evaluation were recorded. Results: The search resulted in 1274 studies after removing duplicates. Twenty-seven studies were chosen for final review. Both structural (i.e., callosal angle, disproportionately enlarged subarachnoid space hydrocephalus (DESH), and temporal horn diameter) and physiological brain imaging (including aqueductal flow measurement and brain perfusion) had been examined. Fourteen out of 27 studies found no difference in any assessed imaging parameters between responders and non-responders, and none of the examined imaging parameters was repeatedly and consistently reported as significantly different between the two groups. Conclusions: No brain imaging parameters were consistently and repeatedly reported as different between iNPH shunt responders and non-responders.

AB - Purpose: This systematic literature review aimed to identify brain computed tomography (CT) and magnetic resonance imaging (MRI) features that could be used to discriminate idiopathic normal pressure hydrocephalus (iNPH) shunt responders from non-responders. Methods: PubMed, Embase, Web of Science, and Cochrane were searched following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Only original research articles reporting preoperative CT and/or MRI features and iNPH shunt response evaluated by changes in gait, dementia, and urinary incontinence were included. Title and abstract screening and full-text article evaluation were done by two authors. Data on patient demographics and inclusion criteria, brain image evaluation, shunting methods, and shunt response evaluation were recorded. Results: The search resulted in 1274 studies after removing duplicates. Twenty-seven studies were chosen for final review. Both structural (i.e., callosal angle, disproportionately enlarged subarachnoid space hydrocephalus (DESH), and temporal horn diameter) and physiological brain imaging (including aqueductal flow measurement and brain perfusion) had been examined. Fourteen out of 27 studies found no difference in any assessed imaging parameters between responders and non-responders, and none of the examined imaging parameters was repeatedly and consistently reported as significantly different between the two groups. Conclusions: No brain imaging parameters were consistently and repeatedly reported as different between iNPH shunt responders and non-responders.

KW - Computed tomography

KW - Idiopathic normal pressure hydrocephalus

KW - Magnetic resonance imaging

KW - Shunt response

U2 - 10.1007/s00234-022-03021-9

DO - 10.1007/s00234-022-03021-9

M3 - Review

C2 - 35871239

AN - SCOPUS:85135192274

VL - 64

SP - 2119

EP - 2133

JO - Neuroradiology

JF - Neuroradiology

SN - 0028-3940

IS - 11

ER -

ID: 324000315