{"doi":"10.3174/ajnr.a6846","title":"Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs","abstract":"BACKGROUND AND PURPOSE: Hemodynamic features of brain AVMs may portend increased hemorrhage risk. Previous studies have suggested that MTT is shorter in ruptured AVMs as assessed on quantitative color-coded parametric DSA. This study assesses the interrater reliability of MTT measurements obtained using quantitative color-coded DSA. MATERIALS AND METHODS: Thirty-five color-coded parametric DSA images of 34 brain AVMs were analyzed by 4 neuroradiologists with experience in interventional neuroradiology. Hemodynamic features assessed included MTT of the AVM and TTP of the dominant feeding artery and draining vein. Agreement among the 4 raters was assessed using the intraclass correlation coefficient. RESULTS: < .001). CONCLUSIONS: Interrater reliability in deriving color-coded parametric DSA measurements such as MTT is poor so minor differences among raters may result in a large variance in MTT and TTP results, partly due to the sensitivity and 2D nature of the technique. Reliability can be improved by defining a standard projection, feeding artery, and draining vein for analysis.","journal":"American Journal of Neuroradiology","year":2020,"id":78295,"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":18,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8986,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":407359,"name":"Kerstin Mueller","orcid":"0000-0002-8787-2623","position":1,"is_corresponding":false},{"id":364176,"name":"Jeffrey Nelson","orcid":"0000-0002-0219-473X","position":2,"is_corresponding":false},{"id":407360,"name":"Jonathan Massachi","orcid":"0000-0001-8645-5740","position":3,"is_corresponding":false},{"id":364165,"name":"Daniel Murph","orcid":"0000-0003-4718-5420","position":4,"is_corresponding":false},{"id":364161,"name":"Alexander Copelan","orcid":"0000-0002-3212-6084","position":5,"is_corresponding":false},{"id":364173,"name":"Steven W. Hetts","orcid":"0000-0001-5885-7259","position":6,"is_corresponding":false},{"id":364172,"name":"Van V. Halbach","orcid":"0000-0001-7138-2307","position":7,"is_corresponding":false},{"id":364171,"name":"Randall T. Higashida","orcid":"0000-0002-8863-2656","position":8,"is_corresponding":false},{"id":364168,"name":"Adib A. Abla","orcid":"0000-0002-6941-2295","position":9,"is_corresponding":false},{"id":364179,"name":"Matthew R. Amans","orcid":"0000-0002-8209-0534","position":10,"is_corresponding":false},{"id":364170,"name":"Christopher F. Dowd","orcid":"0000-0003-2267-4244","position":11,"is_corresponding":false},{"id":249214,"name":"Helen Kim","orcid":"0000-0002-1937-354X","position":12,"is_corresponding":false},{"id":364174,"name":"Daniel L. Cooke","orcid":"0000-0002-3694-413X","position":13,"is_corresponding":false},{"id":364164,"name":"Kazim Narsinh","orcid":"0000-0002-2019-5461","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-18T21:49:40.769098Z","pmid":"33122213","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":[]}