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Identifying the Sylvian Triangle on CT angiography: A technique for detecting distal middle cerebral artery occlusions.
Sozio, Stephen J; Castro, Alexandra; Sundararajan, Sri Hari; Schonfeld, Steven; Gupta, Gaurav; Prendergast, Nancy C; Keller, Irwin A; Roychowdhury, Sudipta.
Afiliação
  • Sozio SJ; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Castro A; Department of Radiology, Cooperman Barnabas Medical Center, Livingston, NJ, USA.
  • Sundararajan SH; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Schonfeld S; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Gupta G; Department of Neurosurgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Prendergast NC; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Keller IA; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
  • Roychowdhury S; Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Interv Neuroradiol ; : 15910199241258373, 2024 Jun 04.
Article em En | MEDLINE | ID: mdl-38832443
ABSTRACT
Medium vessel occlusions (MeVOs), defined as occlusion of the M2/M3 and A2/A3 segments of the middle cerebral artery (MCA) and anterior cerebral artery, can be challenging to visualize on CT angiography (CTA) and MR angiography (MRA), given the anatomic complexity of the mid- and distal intracranial vasculature and smaller vessel caliber (Leary MC, Kidwell CS, Villablanca JP, et al. Validation of computed tomographic MCA "dot" sign an angiographic correlation study. Stroke 2003; 34 2636-2640; Luijten SPR, Wolff L, Duvekot MHC, et al. Diagnostic performance of an algorithm for automated large vessel occlusion (LVO) detection on CTA. J Neurointerv Surg 2022; 14 794-798). In turn, the appearance of a sudden vessel cutoff in these vascular distributions on CTA or MRA is not always straightforward and may represent true occlusion, variant anatomy, and/or artifact (Leary MC, Kidwell CS, Villablanca JP, et al. Validation of computed tomographic MCA "dot" sign an angiographic correlation study. Stroke 2003; 34 2636-2640; Luijten SPR, Wolff L, Duvekot MHC, et al. Diagnostic performance of an algorithm for automated LVO detection on CTA. J Neurointerv Surg 2022; 14 794-798). Given the importance of rapidly establishing an accurate diagnosis in the setting of stroke, combined with recent clinical trials and movements promoting the efficacy of endovascular therapeutic approaches to treat MeVOs, it remains imperative to detect such occlusions accurately and quickly on imaging. In turn, we present five imaging patterns of the Sylvian Triangle on sagittal reformatted images from CTA Head examinations, which our practice has utilized to assess patency of the M2 and M3 divisions. This approach is rapidly deployable and can be utilized by radiology and non-radiology healthcare providers alike, thus facilitating rapid and accurate diagnosis of MeVO, timely evaluation of candidacy for endovascular therapy, and ultimately supporting favorable door-to-intervention time and successful patient outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Interv Neuroradiol Assunto da revista: NEUROLOGIA / RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Interv Neuroradiol Assunto da revista: NEUROLOGIA / RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos