A corona-like distribution and patchy pattern of cerebellar infarcts identify patients with giant cell arteritis

Carolin Beuker1, Jan-Kolja Strecker2, Veith Jungmann3

  • 1Department of Neurology, University of Münster, Albert-Schweitzer-Campus 1, Gebäude A1, Münster 48149, Germany.

Insights

Giant cell arteritis (GCA) can cause stroke, but diagnosis is tricky. This study identified specific cerebellar infarct patterns in GCA patients, aiding earlier diagnosis and treatment.

Area of Science:

  • Neurology
  • Radiology
  • Vascular Medicine

Background:

  • Cerebrovascular events are a serious complication of giant cell arteritis (GCA) with intracranial involvement.
  • Diagnosing GCA in this context is challenging due to the potential absence of classical clinical features.

Purpose of the Study:

  • To identify characteristic cerebellar infarct patterns in intracranial GCA.
  • To differentiate these patterns from other common causes of posterior circulation stroke.

Main Methods:

  • A multicenter retrospective study included 125 patients with cerebellar infarctions.
  • 19 patients had confirmed intracranial GCA; infarct patterns were compared to other stroke etiologies.
  • Acute-phase diffusion-weighted MRI was used to assess infarct topography.

Main Results:

  • A "corona-like" infarct pattern (sparing medial PICA) had 79% sensitivity and 64% specificity.
  • A patchy infarct pattern had 53% prevalence in GCA and 93% specificity.
  • Combined features increased specificity to 98% but reduced sensitivity to 47%.

Conclusions:

  • Intracranial GCA exhibits a distinct cerebellar infarct pattern, including corona-like and patchy lesions in the lateral PICA territory.
  • Recognizing this imaging phenotype can improve diagnostic accuracy in challenging GCA cases.
  • Timely diagnosis facilitates prompt initiation of immunosuppressive therapy.
Abstract

Related Concept Videos

Pharmacokinetics in Pediatric Patients: Drug Distribution01:17

Pharmacokinetics in Pediatric Patients: Drug Distribution

Drug distribution in the pediatric population exhibits unique challenges and considerations due to the physiological differences between children, particularly neonates and infants, and adults. A crucial aspect of pediatric pharmacology is understanding how these differences impact the pharmacokinetics of various drugs, necessitating age-specific dosing strategies to ensure efficacy and safety.Neonates and infants have a higher total body water content, ~75%–90% of their body weight,...
326
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution01:00

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution

Drug distribution in the human body is influenced by several factors, including plasma protein concentration, body composition, blood flow, tissue-protein concentration, and tissue fluid pH. Among these, changes in plasma protein concentration and body composition due to aging significantly affect how drugs are distributed within the body. Specifically, aging is associated with a decrease in albumin levels by about 10% and an increase in α1-acid glycoprotein levels. These alterations are...
264
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution01:25

Pharmacokinetics in Obese Patients: Drug Absorption and Distribution

Obesity significantly alters the pharmacokinetic processes of drug absorption and distribution, presenting unique challenges in medical treatment. The increased fat tissue and decreased lean muscle in obese individuals can significantly affect how drugs are absorbed into the body and distributed across different tissues. This alteration can lead to variances in the effectiveness and safety of medications, necessitating adjustments in dosing or drug selection for obese patients.One notable...
289
Fixed Action Patterns01:06

Fixed Action Patterns

A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
17.7K
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.5K
F Distribution01:19

F Distribution

The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
10.7K