Optimization of collateral grading on computer tomography angiography.

CT perfusion Computed tomography angiography stroke thrombectomy

Journal

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
ISSN: 2385-2011
Titre abrégé: Interv Neuroradiol
Pays: United States
ID NLM: 9602695

Informations de publication

Date de publication:
24 May 2023
Historique:
medline: 25 5 2023
pubmed: 25 5 2023
entrez: 25 5 2023
Statut: aheadofprint

Résumé

As compared to single-phase CTA (sCTA), multi-phase CTA (mCTA) has been shown to more accurately estimate collateral flow in acute ischemic stroke (AIS). We sought to determine the characterization of poor collaterals across the three different phases of the mCTA. We also attempted to establish the optimal arterio-venous contrast timing parameters on sCTA that would prevent false positive reads of poor collateral status. We retrospectively screened consecutive patients admitted for possible thrombectomy from February 2018 to June 2019. Only cases with intracranial internal carotid artery (ICA) or main trunk of the middle cerebral artery (MCA) occlusion and both baseline mCTA and CT Perfusion available were included. Mean Hounsfield units (HU) of torcula and torcula/patent ICA ratio were used for the arterio-venous timing analysis. Of the 105 patients included, 35 (34%) received IV-tPA treatment and 65 (61.9%) underwent mechanical thrombectomy. A total of 20 patients (19%) had poor collaterals on the third-phase CTA (ground-truth). The first-phase CTA often underestimated collateral score (37/105 [35%], p < 0.01), however there were no significant differences across the second- and third-phases (5/105[5%], p  =  0.06. Venous opacification Youden's J point for identifying suboptimal sCTAs was found to be 207.9HU in the torcula (65% sensitivity,65% specificity) and 66.74% for torcula/patent ICA ratio (51% sensitivity,73% specificity). A dual-phase CTA is significantly similar to a mCTA assessment of collateral score and may be applied at community-based centers. Absolute or relative thresholds for torcula opacification may be used to identify poor bolus-scan timing thus preventing erroneous assumptions of poor collaterals on sCTA.

Sections du résumé

BACKGROUND BACKGROUND
As compared to single-phase CTA (sCTA), multi-phase CTA (mCTA) has been shown to more accurately estimate collateral flow in acute ischemic stroke (AIS). We sought to determine the characterization of poor collaterals across the three different phases of the mCTA. We also attempted to establish the optimal arterio-venous contrast timing parameters on sCTA that would prevent false positive reads of poor collateral status.
METHODS METHODS
We retrospectively screened consecutive patients admitted for possible thrombectomy from February 2018 to June 2019. Only cases with intracranial internal carotid artery (ICA) or main trunk of the middle cerebral artery (MCA) occlusion and both baseline mCTA and CT Perfusion available were included. Mean Hounsfield units (HU) of torcula and torcula/patent ICA ratio were used for the arterio-venous timing analysis.
RESULTS RESULTS
Of the 105 patients included, 35 (34%) received IV-tPA treatment and 65 (61.9%) underwent mechanical thrombectomy. A total of 20 patients (19%) had poor collaterals on the third-phase CTA (ground-truth). The first-phase CTA often underestimated collateral score (37/105 [35%], p < 0.01), however there were no significant differences across the second- and third-phases (5/105[5%], p  =  0.06. Venous opacification Youden's J point for identifying suboptimal sCTAs was found to be 207.9HU in the torcula (65% sensitivity,65% specificity) and 66.74% for torcula/patent ICA ratio (51% sensitivity,73% specificity).
CONCLUSION CONCLUSIONS
A dual-phase CTA is significantly similar to a mCTA assessment of collateral score and may be applied at community-based centers. Absolute or relative thresholds for torcula opacification may be used to identify poor bolus-scan timing thus preventing erroneous assumptions of poor collaterals on sCTA.

Identifiants

pubmed: 37226428
doi: 10.1177/15910199231176310
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15910199231176310

Auteurs

Leonardo Pisani (L)

Radiology Department, St Vincent Hospital, Worcester, MA, USA.

Diogo C Haussen (DC)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Mahmoud Mohammaden (M)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Catarina Perry da Camara (C)

Radiology Department, Centro Hospitalar Universitário Lisboa Central, Lisboa, Portugal.

Gabriel M Rodrigues (GM)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Mehdi Bouslama (M)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Alhamza Al-Bayati (A)

Department of Neurology & Neurosurgery, UPMC Stroke Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Ranliang Hu (R)

Department of Radiology, Grady Memorial Hospital/Emory University, Atlanta, GA, USA.

Nicholas Bianchi (N)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Nirav Ravindra Bhatt (N)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Michael Frankel (M)

Marcus Stroke & Neuroscience Center, Grady Memorial Hospital and Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.

Raul G Nogueira (RG)

Department of Neurology & Neurosurgery, UPMC Stroke Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Classifications MeSH