{"doi":"10.1161/svin.123.001071","title":"Can Aneurysm Wall Radiomics Help Predict Rupture Risk?","abstract":"pproximately 3% of people harbor unruptured intracranial aneurysms, 1 and incidental aneurysms are increasingly identified with advances and widespread availability of neuroimaging. Despite modern devices and advanced techniques, the treatment of intracranial aneurysms is not without risk; careful consideration of the natural history risk is essential to make a decision to treat an unruptured aneurysm. Risk factors for future rupture include history of subarachnoid hemorrhage, aneurysm size, aneurysm location, multiple aneurysms, sex, age, and smoking status. 2-7 Among the most used risk stratification scores to date, the Population, Hypertension, Age, Size of aneurysm, Earlier hemorrhage from another aneurysm, Site of aneurysm (PHASES) score was developed from a pooled analysis of 6 prospective cohort studies with individual patient data, especially weighted on International Study on Unruptured Intracranial Aneurysms (ISUIA) and Unruptured Cerebral Aneurysm Study (UCAS) populations. owever, no scoring system captures all relevant variables, and none adequately capture aneurysm morphology and dynamic changes. Furthermore, an apparent size-rupture paradox exists since available natural history data suggest a low rupture risk for small incidental aneurysms, but the median size of ruptured aneurysms is small. 9 As such, better indicators of rupture risk are needed.","journal":"Stroke Vascular and Interventional Neurology","year":2023,"id":383670,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9471,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":108620,"name":"Eytan Raz","orcid":"0000-0003-2998-8481","position":1,"is_corresponding":false},{"id":635213,"name":"Robert W. Regenhardt","orcid":"0000-0003-2958-3484","position":0,"is_corresponding":true}],"reference_count":24,"raw_metadata":null,"created_at":"2026-07-19T01:17:29.050285Z","pmid":"41583042","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}