{"doi":"10.3389/frai.2024.1369702","title":"Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke","abstract":"Purpose: Computed Tomography Angiography (CTA) is the first line of imaging in the diagnosis of Large Vessel Occlusion (LVO) strokes. We trained and independently validated end-to-end automated deep learning pipelines to predict 3-month outcomes after anterior circulation LVO thrombectomy based on admission CTAs. Methods: We split a dataset of 591 patients into training/cross-validation (n = 496) and independent test set (n = 95). We trained separate models for outcome prediction based on admission \"CTA\" images alone, \"CTA + Treatment\" (including time to thrombectomy and reperfusion success information), and \"CTA + Treatment + Clinical\" (including admission age, sex, and NIH stroke scale). A binary (favorable) outcome was defined based on a 3-month modified Rankin Scale ≤ 2. The model was trained on our dataset based on the pre-trained ResNet-50 3D Convolutional Neural Network (\"MedicalNet\") and included CTA preprocessing steps. Results: We generated an ensemble model from the 5-fold cross-validation, and tested it in the independent test cohort, with receiver operating characteristic area under the curve (AUC, 95% confidence interval) of 70 (0.59-0.81) for \"CTA,\" 0.79 (0.70-0.89) for \"CTA + Treatment,\" and 0.86 (0.79-0.94) for \"CTA + Treatment + Clinical\" input models. A \"Treatment + Clinical\" logistic regression model achieved an AUC of 0.86 (0.79-0.93). Conclusion: Our results show the feasibility of an end-to-end automated model to predict outcomes from admission and post-thrombectomy reperfusion success. Such a model can facilitate prognostication in telehealth transfer and when a thorough neurological exam is not feasible due to language barrier or pre-existing morbidities.","journal":"Frontiers in Artificial Intelligence","year":2024,"id":438815,"datarank":0.3596842909197557,"base_score":2.3978952727983707,"endowment":2.3978952727983707,"self_citation_contribution":0.3596842909197557,"citation_network_contribution":0.0,"self_endowment_contribution":0.3596842909197557,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":10,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9065,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1248937,"name":"Fiona Dierksen","orcid":"0009-0004-1913-0603","position":1,"is_corresponding":false},{"id":700261,"name":"Tal Zeevi","orcid":"0000-0001-8917-7061","position":2,"is_corresponding":false},{"id":1249432,"name":"Anh Tuan Tran","orcid":null,"position":3,"is_corresponding":false},{"id":773615,"name":"Emily W. Avery","orcid":"0000-0002-8481-3978","position":4,"is_corresponding":false},{"id":780636,"name":"Adrian Mak","orcid":"0000-0002-5696-6002","position":5,"is_corresponding":false},{"id":434038,"name":"Ajay Malhotra","orcid":"0000-0001-9223-6640","position":6,"is_corresponding":false},{"id":434039,"name":"Charles Matouk","orcid":"0000-0003-3234-9541","position":7,"is_corresponding":false},{"id":256546,"name":"Guido J. Falcone","orcid":"0000-0002-6407-0302","position":8,"is_corresponding":false},{"id":701275,"name":"Victor Torres‐Lopez","orcid":null,"position":9,"is_corresponding":false},{"id":1249433,"name":"Sanjey Aneja","orcid":null,"position":10,"is_corresponding":false},{"id":1159618,"name":"James Duncan","orcid":null,"position":11,"is_corresponding":false},{"id":287567,"name":"Lauren Sansing","orcid":"0000-0002-6898-1680","position":12,"is_corresponding":false},{"id":256547,"name":"Kevin N. Sheth","orcid":"0000-0003-2003-5473","position":13,"is_corresponding":false},{"id":549917,"name":"Seyedmehdi Payabvash","orcid":"0000-0003-4628-0370","position":14,"is_corresponding":false},{"id":1249431,"name":"Jakob Sommer","orcid":null,"position":0,"is_corresponding":true}],"reference_count":27,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T02:00:43.618468Z","pmid":"39149161","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":[]}