Literature DB >> 28028564

Evolution of diffusion tensor imaging parameters after acute subarachnoid haemorrhage: a prospective cohort study.

Isabel Fragata1,2, Patrícia Canhão3,4, Marta Alves5, Ana Luísa Papoila5, Nuno Canto-Moreira6.   

Abstract

INTRODUCTION: Few studies assessed diffusion tensor imaging (DTI) changes in the acute phase of subarachnoid haemorrhage (SAH). We prospectively evaluated DTI parameters in the acute phase of SAH and 8-10 days after and analysed whether changes could be related to SAH severity or to the development of delayed cerebral ischemia (DCI).
METHODS: Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) changes over time were assessed in a prospective cohort of patients with acute SAH. Two MRI studies were performed at <72 h (MRI-1) and 8-10 days (MRI-2). DTI parameters were recorded in 15 ROIs. Linear mixed regression models were used.
RESULTS: Forty-two patients were included. Subtle changes in DTI parameters were found between MRI-1 and MRI-2. At the posterior limb of internal capsule (PLIC), a weak evidence of a 0.02 mean increase in FA (p = 0.064) and a 17.55 × 10-6 mm2/s decrease in ADC (p = 0.052) were found in MRI-2. Both FA and ADC changed over time at the cerebellum (increase of 0.03; p = 0.017; decrease of 34.73 × 10-6 mm2/s; p = 0.002, respectively). Patients with DCI had lower FA values on MRI-1 and lower ADC on MRI-2, although not reaching statistical significance, compared to non-DCI patients. DTI parameters on MRI-1 were not correlated to clinical admission scales.
CONCLUSION: ADC and FA values show subtle changes over time in acute SAH at the PLIC and cerebellum although not statistically associated with the severity of SAH or the occurrence of DCI. However, DTI changes occurred mainly in DCI patients, suggesting a possible role of DTI as a marker of DCI.

Entities:  

Keywords:  Delayed cerebral ischemia; Diffusion tensor imaging; Subarachnoid haemorrhage

Mesh:

Year:  2016        PMID: 28028564     DOI: 10.1007/s00234-016-1774-y

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  34 in total

1.  Subarachnoid hemorrhage in the subacute stage: elevated apparent diffusion coefficient in normal-appearing brain tissue after treatment.

Authors:  Yawu Liu; Ville Soppi; Timo Mustonen; Mervi Könönen; Timo Koivisto; Anna Koskela; Jaakko Rinne; Ritva L Vanninen
Journal:  Radiology       Date:  2006-12-19       Impact factor: 11.105

2.  Evidence of corticospinal tract injury at midbrain in patients with subarachnoid hemorrhage.

Authors:  Sang Seok Yeo; Byung Yeon Choi; Chul Hoon Chang; Seong Ho Kim; Young-Jin Jung; Sung Ho Jang
Journal:  Stroke       Date:  2012-06-14       Impact factor: 7.914

Review 3.  Spreading depolarization: a possible new culprit in the delayed cerebral ischemia of subarachnoid hemorrhage.

Authors:  Lewis Z Leng; Matthew E Fink; Costantino Iadecola
Journal:  Arch Neurol       Date:  2010-09-13

4.  Grading the amount of blood on computed tomograms after subarachnoid hemorrhage.

Authors:  A Hijdra; P J Brouwers; M Vermeulen; J van Gijn
Journal:  Stroke       Date:  1990-08       Impact factor: 7.914

5.  Guidelines for the management of aneurysmal subarachnoid hemorrhage: a guideline for healthcare professionals from the American Heart Association/american Stroke Association.

Authors:  E Sander Connolly; Alejandro A Rabinstein; J Ricardo Carhuapoma; Colin P Derdeyn; Jacques Dion; Randall T Higashida; Brian L Hoh; Catherine J Kirkness; Andrew M Naidech; Christopher S Ogilvy; Aman B Patel; B Gregory Thompson; Paul Vespa
Journal:  Stroke       Date:  2012-05-03       Impact factor: 7.914

Review 6.  Early brain injury following aneurysmal subarachnoid hemorrhage: emphasis on cellular apoptosis.

Authors:  Simge Yuksel; Yusuf Berk Tosun; Julian Cahill; Ihsan Solaroglu
Journal:  Turk Neurosurg       Date:  2012       Impact factor: 1.003

Review 7.  Long-term outcomes of patients with aneurysmal subarachnoid haemorrhage.

Authors:  Gabriel J E Rinkel; Ale Algra
Journal:  Lancet Neurol       Date:  2011-04       Impact factor: 44.182

8.  Predictors of excellent functional outcome in aneurysmal subarachnoid hemorrhage.

Authors:  Marianna Pegoli; Jay Mandrekar; Alejandro A Rabinstein; Giuseppe Lanzino
Journal:  J Neurosurg       Date:  2014-12-12       Impact factor: 5.115

9.  Efficiency of fractional anisotropy and apparent diffusion coefficient on diffusion tensor imaging in prognosis of neonates with hypoxic-ischemic encephalopathy: a methodologic prospective pilot study.

Authors:  O Brissaud; M Amirault; F Villega; O Periot; J F Chateil; M Allard
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-03       Impact factor: 3.825

10.  Prediction of delayed cerebral ischemia, rebleeding, and outcome after aneurysmal subarachnoid hemorrhage.

Authors:  A Hijdra; J van Gijn; N J Nagelkerke; M Vermeulen; H van Crevel
Journal:  Stroke       Date:  1988-10       Impact factor: 7.914

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  2 in total

1.  Altered functional connectivity within default mode network after rupture of anterior communicating artery aneurysm.

Authors:  Fuxiang Chen; Yaqing Kang; Ting Yu; Yuanxiang Lin; Linsun Dai; Lianghong Yu; Dengliang Wang; Xi Sun; Dezhi Kang
Journal:  Front Aging Neurosci       Date:  2022-07-25       Impact factor: 5.702

Review 2.  Diffusion Tensor Imaging Studies on Spontaneous Subarachnoid Hemorrhage-Related Brain Injury: A Mini-Review.

Authors:  Min Kyeong Cho; Sung Ho Jang
Journal:  Front Neurol       Date:  2020-04-28       Impact factor: 4.003

  2 in total

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