Literature DB >> 28667020

PHASES Score for the Management of Intracranial Aneurysm: A Cross-Sectional Population-Based Retrospective Study.

Philippe Bijlenga1, Renato Gondar2, Sabine Schilling2, Sandrine Morel2, Sven Hirsch2, Johanna Cuony2, Marco-Vincenzo Corniola2, Fabienne Perren2, Daniel Rüfenacht2, Karl Schaller2.   

Abstract

BACKGROUND AND
PURPOSE: The aim of this study is to assess whether the PHASES score allows to (1) match decisions taken by multidisciplinary team whether to observe or intervene, (2) classify patients being diagnosed with a ruptured versus unruptured intracranial aneurysm (UIA), and (3) discriminate patients at low risk of rupture from the population of patients diagnosed with intracranial aneurysm.
METHODS: Population-based prospective and consecutive data were collected between 2006 and 2014. Patients (n=841) were stratified into 4 groups: stable UIA; growing observed UIA; immediately treated UIA; and aneurysmal subarachnoid hemorrhage (aSAH). All patients initially observed were pooled in a follow-up UIA group; patients from growing observed UIA, immediately treated UIA, and aSAH were pooled in a high risk of rupture group. Results are expressed as median [quartile 1, quartile 3].
RESULTS: PHASES scores of immediately treated UIA patients were significantly higher than follow-up UIA group (5 [3, 7] versus 2 [1, 4]). Patients diagnosed with UIA and PHASES score of >3 were more likely to be treated, and the score ≤3 was predictive for observation (areas under these curves=0.74). Odds of being diagnosed with an aSAH were associated with PHASES score of >3 (UIA, 4 [2, 6]; aSAH, 5 [4, 8]; areas under these curves=0.66). Scores of stable UIA patients were significantly lower than high risk of rupture group (2 [1, 4] versus 5 [4, 7]; stable UIA outcome prediction by PHASES score of ≤3: areas under these curves=0.76).
CONCLUSIONS: There is a progression of PHASES score between stable UIA, growing observed UIA, immediately treated UIA, and aSAH groups. PHASES score of ≤3 is associated with a low but not negligible likelihood of aneurysm rupture, and specificity of the classifier is low.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  hypertension; intracranial aneurysm; probability; risk; subarachnoid hemorrhage

Mesh:

Year:  2017        PMID: 28667020     DOI: 10.1161/STROKEAHA.117.017391

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  26 in total

1.  Retrospective application of risk scores to ruptured intracranial aneurysms: would they have predicted the risk of bleeding?

Authors:  Carmelo Lucio Sturiale; Vittorio Stumpo; Luca Ricciardi; Gianluca Trevisi; Iacopo Valente; Sonia D'Arrigo; Kristy Latour; Paolo Barbone; Alessio Albanese
Journal:  Neurosurg Rev       Date:  2020-07-26       Impact factor: 3.042

2.  Deep learning based detection of intracranial aneurysms on digital subtraction angiography: A feasibility study.

Authors:  Nicolin Hainc; Manoj Mannil; Vaia Anagnostakou; Hatem Alkadhi; Christian Blüthgen; Lorenz Wacht; Andrea Bink; Shakir Husain; Zsolt Kulcsár; Sebastian Winklhofer
Journal:  Neuroradiol J       Date:  2020-07-07

3.  Quantitative analysis of flow vortices: differentiation of unruptured and ruptured medium-sized middle cerebral artery aneurysms.

Authors:  K Sunderland; M Wang; A S Pandey; J Gemmete; Q Huang; A Goudge; J Jiang
Journal:  Acta Neurochir (Wien)       Date:  2020-10-17       Impact factor: 2.216

4.  Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics.

Authors:  Felicitas J Detmer; Bong Jae Chung; Fernando Mut; Martin Slawski; Farid Hamzei-Sichani; Christopher Putman; Carlos Jiménez; Juan R Cebral
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-08-09       Impact factor: 2.924

5.  Management of unruptured intracranial aneurysms: correlation of UIATS, ELAPSS, and PHASES with referral center practice.

Authors:  James Feghali; Abhishek Gami; Justin M Caplan; Rafael J Tamargo; Cameron G McDougall; Judy Huang
Journal:  Neurosurg Rev       Date:  2020-07-22       Impact factor: 3.042

6.  Intracranial aneurysms at higher clinical risk for rupture demonstrate increased wall enhancement and thinning on multicontrast 3D vessel wall MRI.

Authors:  Jason Brett Hartman; Hiroko Watase; Jie Sun; Daniel S Hippe; Louis Kim; Michael Levitt; Laligam Sekhar; Niranjan Balu; Thomas Hatsukami; Chun Yuan; Mahmud Mossa-Basha
Journal:  Br J Radiol       Date:  2019-01-30       Impact factor: 3.039

7.  Complementary Roles of Dynamic Contrast-Enhanced MR Imaging and Postcontrast Vessel Wall Imaging in Detecting High-Risk Intracranial Aneurysms.

Authors:  H Qi; X Liu; P Liu; W Yuan; A Liu; Y Jiang; Y Li; J Sun; H Chen
Journal:  AJNR Am J Neuroradiol       Date:  2019-02-21       Impact factor: 3.825

Review 8.  Vessel wall magnetic resonance imaging in intracranial aneurysms: Principles and emerging clinical applications.

Authors:  Corrado Santarosa; Branden Cord; Andrew Koo; Pervinder Bhogal; Ajay Malhotra; Sam Payabvash; Frank J Minja; Charles C Matouk
Journal:  Interv Neuroradiol       Date:  2019-12-09       Impact factor: 1.610

9.  Unruptured Giant Intracerebral Aneurysms: Serious Trouble Requiring Serious Treatment - Case Report and Literature Review.

Authors:  R Badea; O Olaru; A Ribigan; A Ciobotaru; B Dorobat
Journal:  Maedica (Buchar)       Date:  2019-12

10.  External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.

Authors:  Felicitas J Detmer; Daniel Fajardo-Jiménez; Fernando Mut; Norman Juchler; Sven Hirsch; Vitor Mendes Pereira; Philippe Bijlenga; Juan R Cebral
Journal:  Acta Neurochir (Wien)       Date:  2018-10-30       Impact factor: 2.216

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