The middle cerebral artery early branches classification (MCA-EB): a novel imaging-based approach - Summary - MDSpire

The middle cerebral artery early branches classification (MCA-EB): a novel imaging-based approach

  • By

  • Arkadiusz Kacała

  • Małgorzata Milnerowicz-Bescond

  • Maciej Ziomek

  • Marek Łukasiewicz

  • Łukasz Noszczak

  • Weronika Wrona

  • Wiktoria Wdowiak

  • Mateusz Dorochowicz

  • Kamil Litwinowicz

  • Anna Zimny

  • Maciej Guziński

  • July 8, 2026

  • 0 min

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Objective:

To propose and validate a revised imaging-based classification (MCA-EB) of early branches of the MCA using computed tomographic angiography (CTA).

Approach:
  • Study Design: Retrospective study involving 200 adult patients who underwent CTA between 2020–2024, excluding those with specific intracranial conditions.
  • Morphometric Analysis: Morphometric measurements of MCA early branches (EBs) were performed using dedicated software, assessing presence, type, and dimensions.
  • Statistical Methods: Statistical analyses included Kendall’s tau-b, Spearman correlation, and Cohen’s kappa for reproducibility analysis.
Key Findings:
  • A total of 271 EBs were identified in 215 MCAs (53.25%). ETBs were more frequent (197/271, 72.7%) than EFBs (74/271, 27.3%).
  • Mean diameter was 0.86 mm for ETBs and 0.83 mm for EFBs.
  • No significant correlation was found between EB diameter and distance from MCA origin (ETB1 τ = −0.009, p = 0.86; EFB1 τ = −0.148, p = 0.09).
  • The MCA-EB classification comprises four types, from absence of EBs (Type I, 46.3%) to combined ETB and EFB variants (Type IV, 9%).
Interpretation:

The MCA-EB classification provides a simplified and standardized approach to categorizing MCA early branches.

Limitations:
  • Exclusion of patients with certain intracranial conditions may limit generalizability.
  • Retrospective nature may introduce selection bias.
Conclusion:

The MCA-EB classification system may support future research on the clinical relevance of MCA early branches.

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