Literature DB >> 17761283

Treatment decision in ruptured intracranial aneurysms: comparison between multi-detector row CT angiography and digital subtraction angiography.

C-A Taschner1, L Thines, M Lernout, J-P Lejeune, X Leclerc.   

Abstract

OBJECTIVE: The aim of this study was to determine the accuracy of multi-detector row computed tomography angiography (CTA) for the triage of patients with acutely ruptured aneurysms, and to assess how therapeutic decisions based on this method compared with digital subtraction angiography (DSA).
METHODS: Twenty-seven consecutive patients with acute subarachnoid hemorrhage were included, and underwent both CTA and DSA. CTA was performed on a 16-detector row CT scanner with a 0.75-mm collimation and a 0.558-beam pitch. Two readers reviewed the CTA data, and two different readers reviewed the DSA data. Aneurysm characteristics were recorded and treatment by surgical clipping or endovascular coil embolization was proposed.
RESULTS: A total of 24 aneurysms were identified on DSA in 21 patients. Sensitivity and specificity for CTA were 100% and 83%, respectively, on a per-aneurysm-basis. The correlation between DSA and CTA for the determination of sac and neck sizes was very good (r=0.92, and r=0.95, respectively, P<0.0001). Sensitivity and specificity for the detection of arterial branches incorporated into the aneurysmal sac or neck were 50% and 100%, respectively. In three aneurysms, readers judged CTA inappropriate for triage, because peri-aneurysmal branches were not properly visualized. Overall agreement between CTA and DSA regarding the therapeutic decision between surgical clipping and endovascular coil embolization in 24 aneurysms was good (kappa=0.76).
CONCLUSION: Multi-detector row CTA provides accurate anatomic information for aneurysm location as well as sac and neck sizes; however, the technique appears to have a low sensitivity in detecting branches incorporated into the aneurysmal sac.

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Year:  2007        PMID: 17761283     DOI: 10.1016/j.neurad.2007.07.006

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  5 in total

1.  Clinical utility and cost-effectiveness of CT-angiography in the diagnosis of nontraumatic subarachnoid hemorrhage.

Authors:  Ramazan Jabbarli; Mukesch Shah; Christian Taschner; Klaus Kaier; Beate Hippchen; Vera Van Velthoven
Journal:  Neuroradiology       Date:  2014-07-24       Impact factor: 2.804

2.  Analysis of superiorly projecting anterior communicating artery aneurysms: anatomy, techniques, and outcome. A proposed classification system.

Authors:  Erez Nossek; Avi Setton; Reza Karimi; Amir R Dehdashti; David J Langer; David J Chalif
Journal:  Neurosurg Rev       Date:  2015-12-03       Impact factor: 3.042

3.  Assessment of extracranial-intracranial bypass patency with 64-slice multidetector computerized tomography angiography.

Authors:  Laurent Thines; Ronit Agid; Amir R Dehdashti; Leodante da Costa; M Christopher Wallace; Karel G Terbrugge; Michael Tymianski
Journal:  Neuroradiology       Date:  2009-03-24       Impact factor: 2.804

4.  Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning.

Authors:  Rahil Shahzad; Lenhard Pennig; Lukas Goertz; Frank Thiele; Christoph Kabbasch; Marc Schlamann; Boris Krischek; David Maintz; Michael Perkuhn; Jan Borggrefe
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

5.  Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage.

Authors:  Lenhard Pennig; Ulrike Cornelia Isabel Hoyer; Alexandra Krauskopf; Rahil Shahzad; Stephanie T Jünger; Frank Thiele; Kai Roman Laukamp; Jan-Peter Grunz; Michael Perkuhn; Marc Schlamann; Christoph Kabbasch; Jan Borggrefe; Lukas Goertz
Journal:  Neuroradiology       Date:  2021-04-10       Impact factor: 2.804

  5 in total

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