Literature DB >> 31115823

Common Data Elements for Radiological Imaging of Patients with Subarachnoid Hemorrhage: Proposal of a Multidisciplinary Research Group.

Nima Etminan1, Colin Derdeyn2, Katharina A M Hackenberg3, Max Wintermark4, Philip M Meyers5, Giuseppe Lanzino6, Daniel Rüfenacht7, Timo Krings8, John Huston9, Gabriel Rinkel10.   

Abstract

INTRODUCTION: Lack of homogeneous definitions for imaging data and consensus on their relevance in the setting of subarachnoid hemorrhage and unruptured intracranial aneurysms lead to a difficulty of data pooling and lack of robust data. The aim of the National Institute of Health/National Institute of Neurological Disorders and Stroke, Unruptured Intracranial Aneurysm (UIA) and Subarachnoid Hemorrhage (SAH) Common Data Elements (CDE) Project was to standardize data elements to ultimately facilitate data pooling and establish a more robust data quality in future neurovascular research on UIA and SAH.
METHODS: For the subcommittee 'Radiological imaging of SAH,' international cerebrovascular specialists with imaging expertise in the setting of SAH were selected by the steering committee. CDEs were developed after reviewing the literature on neuroradiology and already existing CDEs for other neurological diseases. For prioritization, the CDEs were classified into 'Core,' 'Supplemental-Highly Recommended,' 'Supplemental' and 'Exploratory.'
RESULTS: The subcommittee compiled 136 CDEs, 100 out of which were derived from previously established CDEs on ischemic stroke and 36 were newly created. The CDEs were assigned to four main categories (several CDEs were assigned to more than one category): 'Parenchymal imaging' with 42 CDEs, 'Angiography' with 49 CDEs, 'Perfusion imaging' with 20 CDEs, and 'Transcranial doppler' with 55 CDEs. The CDEs were classified into core, supplemental highly recommended, supplemental and exploratory elements. The core CDEs were imaging modality, imaging modality type, imaging modality vessel, angiography type, vessel angiography arterial anatomic site and imaging vessel angiography arterial result.
CONCLUSIONS: The CDEs were established based on the current literature and consensus across cerebrovascular specialists. The use of these CDEs will facilitate standardization and aggregation of imaging data in the setting of SAH. However, the CDEs may require reevaluation and periodic adjustment based on current research and improved imaging quality and novel modalities.

Entities:  

Keywords:  Common data elements; Data standardization; Digital subtraction angiography; Imaging; Subarachnoid hemorrhage; Unruptured intracranial aneurysms

Mesh:

Year:  2019        PMID: 31115823     DOI: 10.1007/s12028-019-00728-1

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  8 in total

1.  Point: CFD--computational fluid dynamics or confounding factor dissemination.

Authors:  D F Kallmes
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-19       Impact factor: 3.825

2.  Prediction of symptomatic vasospasm after subarachnoid hemorrhage: the modified fisher scale.

Authors:  Jennifer A Frontera; Jan Claassen; J Michael Schmidt; Katja E Wartenberg; Richard Temes; E Sander Connolly; R Loch MacDonald; Stephan A Mayer
Journal:  Neurosurgery       Date:  2006-07       Impact factor: 4.654

3.  A simple and quantitative method to predict symptomatic vasospasm after subarachnoid hemorrhage based on computed tomography: beyond the Fisher scale.

Authors:  David A Wilson; Peter Nakaji; Adib A Abla; Timothy D Uschold; David J Fusco; Mark E Oppenlander; Felipe C Albuquerque; Cameron G McDougall; Joseph M Zabramski; Robert F Spetzler
Journal:  Neurosurgery       Date:  2012-10       Impact factor: 4.654

Review 4.  CT perfusion and delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.

Authors:  Charlotte H P Cremers; Irene C van der Schaaf; Emerens Wensink; Jacoba P Greving; Gabriel J E Rinkel; Birgitta K Velthuis; Mervyn D I Vergouwen
Journal:  J Cereb Blood Flow Metab       Date:  2013-11-27       Impact factor: 6.200

5.  Computed tomographic diagnosis of intraventricular hemorrhage. Etiology and prognosis.

Authors:  D A Graeb; W D Robertson; J S Lapointe; R A Nugent; P B Harrison
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

6.  Towards the Clinical utility of CFD for assessment of intracranial aneurysm rupture - a systematic review and novel parameter-ranking tool.

Authors:  Li Liang; David A Steinman; Olivier Brina; Christophe Chnafa; Nicole M Cancelliere; Vitor M Pereira
Journal:  J Neurointerv Surg       Date:  2018-10-19       Impact factor: 5.836

7.  Exploration of Multiparameter Hematoma 3D Image Analysis for Predicting Outcome After Intracerebral Hemorrhage.

Authors:  Pascal Salazar; Mario Di Napoli; Mostafa Jafari; Alibay Jafarli; Wendy Ziai; Alexander Petersen; Stephan A Mayer; Eric M Bershad; Rahul Damani; Afshin A Divani
Journal:  Neurocrit Care       Date:  2020-04       Impact factor: 3.210

8.  Real-World Variability in the Prediction of Intracranial Aneurysm Wall Shear Stress: The 2015 International Aneurysm CFD Challenge.

Authors:  Kristian Valen-Sendstad; Aslak W Bergersen; Yuji Shimogonya; Leonid Goubergrits; Jan Bruening; Jordi Pallares; Salvatore Cito; Senol Piskin; Kerem Pekkan; Arjan J Geers; Ignacio Larrabide; Saikiran Rapaka; Viorel Mihalef; Wenyu Fu; Aike Qiao; Kartik Jain; Sabine Roller; Kent-Andre Mardal; Ramji Kamakoti; Thomas Spirka; Neil Ashton; Alistair Revell; Nicolas Aristokleous; J Graeme Houston; Masanori Tsuji; Fujimaro Ishida; Prahlad G Menon; Leonard D Browne; Stephen Broderick; Masaaki Shojima; Satoshi Koizumi; Michael Barbour; Alberto Aliseda; Hernán G Morales; Thierry Lefèvre; Simona Hodis; Yahia M Al-Smadi; Justin S Tran; Alison L Marsden; Sreeja Vaippummadhom; G Albert Einstein; Alistair G Brown; Kristian Debus; Kuniyasu Niizuma; Sherif Rashad; Shin-Ichiro Sugiyama; M Owais Khan; Adam R Updegrove; Shawn C Shadden; Bart M W Cornelissen; Charles B L M Majoie; Philipp Berg; Sylvia Saalfield; Kenichi Kono; David A Steinman
Journal:  Cardiovasc Eng Technol       Date:  2018-09-10       Impact factor: 2.495

  8 in total
  4 in total

1.  Common Data Elements for Unruptured Intracranial Aneurysms and Subarachnoid Hemorrhage Clinical Research: A National Institute for Neurological Disorders and Stroke and National Library of Medicine Project.

Authors:  Jose I Suarez; Muniza K Sheikh; R Loch Macdonald; Sepideh Amin-Hanjani; Robert D Brown; Airton Leonardo de Oliveira Manoel; Colin P Derdeyn; Nima Etminan; Emanuela Keller; Peter D Leroux; Stephan A Mayer; Akio Morita; Gabriel Rinkel; Daniel Rufennacht; Martin N Stienen; James Torner; Mervyn D I Vergouwen; George K C Wong
Journal:  Neurocrit Care       Date:  2019-06       Impact factor: 3.210

2.  Case Report: Dynamic Changes in Hemodynamics During the Formation and Progression of Intracranial Aneurysms.

Authors:  Xiaodong Zhai; Yadong Wang; Gang Fang; Peng Hu; Hongqi Zhang; Chengcheng Zhu
Journal:  Front Cardiovasc Med       Date:  2022-01-21

Review 3.  Intracranial aneurysm wall (in)stability-current state of knowledge and clinical perspectives.

Authors:  Philippe Bijlenga; Brenda R Kwak; Sandrine Morel
Journal:  Neurosurg Rev       Date:  2021-11-06       Impact factor: 2.800

4.  Global Consortium Study of Neurological Dysfunction in COVID-19 (GCS-NeuroCOVID): Study Design and Rationale.

Authors:  Jennifer Frontera; Shraddha Mainali; Molly McNett; Sherry H-Y Chou; Ericka L Fink; Courtney L Robertson; Michelle Schober; Wendy Ziai; David Menon; Patrick M Kochanek; Jose I Suarez; Raimund Helbok
Journal:  Neurocrit Care       Date:  2020-08       Impact factor: 3.532

  4 in total

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