Abstract 10251: Intracranial Aneurysms in Sickle Cell Adults Screened by Mra
Bibliographic record
Abstract
Introduction: Sickle cell disease(SCD) is the most common genetic disease globally. It is an autosomal recessive disease that affects the β-globin chain which most often presents with anemia and vaso-occlusive symptoms. This condition includes multiples genotypes/phenotypes, the most common of which is HbSS (homozygosity for Hemoglobin S); others are compound heterozygosity with HbC variant (HbSC) and HbS-β-thalassemia (HbSβ+/HbSβ0). Stroke occurs in up to 25% of SCD patients and MRI screening is already recommended by the American Society of Hematology. Small case series have shown a higher prevalence of intracranial aneurysms (ICAN) in SCD, and MR angiography (MRA) may therefore be of benefit for the detection of arterial pathology. Hypothesis: There is an increased prevalence of ICAN in adults with SCD; Frequency of anevrysms is associated with SCD genotype and age. Methods: Adult patients from the SCD clinic of our institution were screened with 3T brain MR complemented with MRA in order to accurately determine the prevalence of ICAN. Results: Our study included 245 asymptomatic SCD adults (369 MRIs). Median age was 32; 52% were women. The overall prevalence of ICAN was 0.11 (0.95 CI 0.07-0.15). All aneurysms were saccular ≤ 10 mm. Forty-four aneurysms were detected in 27 patients with a third presenting with multiple aneurysms. Genotype subgroup analysis revealed a higher prevalence of ICAN in SS/Sb0 (0.17; 0.95 CI 0.11-0.25) compared to the SC/Sb+ (0.06; 0.95 CI 0.02-0.11) (p = 0.007). An association between age and ICAN was also statistically significant (p = 0.03) with stratification revealing a higher prevalence of ICAN for >30 years old, 0.15 (0.95 CI 0.09-0.21). In addition, in patients aged 18-30, the prevalence was 0.06 (0.95 CI 0.26-0.12). Conclusions: This is the largest cohort of SCD adults screened specifically with MRA. We confirm with higher confidence the increased prevalence of ICAN in this population which is in the range of other established indications for aneurysm screening such as Familial Intracranial Aneurysm and Autosomal Dominant Polycystic Kidney Disease. This knowledge could therefore impact the existing screening guidelines for SCD patients via systematic inclusion of an MRA sequence in the recommended imaging protocol.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".