Mudassar Kamran1, Sanjoy Nagaraja, James V Byrne. 1. Oxford Neurovascular and Neuroradiology Research Unit, Level 6, West Wing, John Radcliffe Hospital, Headington, Oxford, OX3 9DU, UK. mudassar.kamran@magd.ox.ac.uk
Abstract
INTRODUCTION: Flat detector computed tomography (FDCT) is an imaging tool that generates three-dimensional (3-D) volumes from data obtained during C-arm rotation using CT-like reconstruction algorithms. The technique is relatively new and, at current levels of performance, lags behind conventional CT in terms of image quality. However, the advantage of its availability in the interventional room has prompted neuro-radiologists to identify clinical settings where its role is uniquely beneficial. METHODS: We performed a search of the online literature databases to identify studies reporting experience with FDCT in interventional neuro-radiology. The studies were systematically reviewed and their findings grouped according to specific clinical situation addressed. RESULTS: FDCT images allow detection of procedural complications, evaluation of low-radiopacity stents and assessment of endosaccular coil packing in intra-cranial aneurysms. Additional roles are 3-D angiography that provides an accurate depiction of vessel morphology with low concentrations of radiographic contrast media and a potential for perfusion imaging due to its dynamic scanning capability. A single scan combining soft tissue and angiographic examinations reduces radiation dose and examination time. Ongoing developments in flat detector technology and reconstruction algorithms are expected to further enhance its performance and increase this range of applications. CONCLUSION: FDCT images provide useful information in neuro-interventional setting. If current research confirms its potential for assessing cerebral haemodynamics by perfusion scanning, the combination would redefine it as an invaluable tool for interventional neuro-radiology procedures. This facility and its existing capabilities of parenchymal and angiographic imaging would also extend its use to the triage of acute stroke patients.
INTRODUCTION: Flat detector computed tomography (FDCT) is an imaging tool that generates three-dimensional (3-D) volumes from data obtained during C-arm rotation using CT-like reconstruction algorithms. The technique is relatively new and, at current levels of performance, lags behind conventional CT in terms of image quality. However, the advantage of its availability in the interventional room has prompted neuro-radiologists to identify clinical settings where its role is uniquely beneficial. METHODS: We performed a search of the online literature databases to identify studies reporting experience with FDCT in interventional neuro-radiology. The studies were systematically reviewed and their findings grouped according to specific clinical situation addressed. RESULTS: FDCT images allow detection of procedural complications, evaluation of low-radiopacity stents and assessment of endosaccular coil packing in intra-cranial aneurysms. Additional roles are 3-D angiography that provides an accurate depiction of vessel morphology with low concentrations of radiographic contrast media and a potential for perfusion imaging due to its dynamic scanning capability. A single scan combining soft tissue and angiographic examinations reduces radiation dose and examination time. Ongoing developments in flat detector technology and reconstruction algorithms are expected to further enhance its performance and increase this range of applications. CONCLUSION: FDCT images provide useful information in neuro-interventional setting. If current research confirms its potential for assessing cerebral haemodynamics by perfusion scanning, the combination would redefine it as an invaluable tool for interventional neuro-radiology procedures. This facility and its existing capabilities of parenchymal and angiographic imaging would also extend its use to the triage of acute strokepatients.
Authors: Michel Piotin; Laurent Spelle; Charbel Mounayer; Marco T Salles-Rezende; Daniel Giansante-Abud; Ricardo Vanzin-Santos; Jacques Moret Journal: Radiology Date: 2007-02-09 Impact factor: 11.105
Authors: David Fiorella; Michael M Chow; Michael Anderson; Henry Woo; Peter A Rasmussen; Thomas J Masaryk Journal: Neurosurgery Date: 2007-08 Impact factor: 4.654
Authors: G Richter; T Engelhorn; T Struffert; M Doelken; O Ganslandt; J Hornegger; W A Kalender; A Doerfler Journal: AJNR Am J Neuroradiol Date: 2007-09-24 Impact factor: 3.825
Authors: B D Mitchell; P Chinnadurai; G Chintalapani; H A Morsi; H Shaltoni; M E Mawad Journal: AJNR Am J Neuroradiol Date: 2015-06-04 Impact factor: 3.825
Authors: A Bellofiore; J Henningsen; C G Lepak; L Tian; A Roldan-Alzate; H B Kellihan; D W Consigny; C J Francois; N C Chesler Journal: J Biomech Eng Date: 2015-02-05 Impact factor: 2.097
Authors: Boris Schulz; Katrin Eichler; Petra Siebenhandl; Tatjana Gruber-Rouh; Christoph Czerny; Thomas Josef Vogl; Stephan Zangos Journal: Eur Radiol Date: 2012-07-21 Impact factor: 5.315
Authors: Adam S Wang; J Webster Stayman; Yoshito Otake; Gerhard Kleinszig; Sebastian Vogt; Gary L Gallia; A Jay Khanna; Jeffrey H Siewerdsen Journal: Phys Med Biol Date: 2014-02-07 Impact factor: 3.609
Authors: Mina G Safain; Jason P Rahal; Ami Raval; Mark J Rivard; John E Mignano; Julian K Wu; Adel M Malek Journal: Neurosurgery Date: 2014-06 Impact factor: 4.654