{"doi":"10.3174/ajnr.a7532","title":"Differential Subsampling with Cartesian Ordering–MRA for Classifying Residual Treated Aneurysms","abstract":"<h3>BACKGROUND AND PURPOSE:</h3> Differential Subsampling with Cartesian Ordering (DISCO), an ultrafast high-spatial-resolution head MRA, has been introduced. We aimed to determine the diagnostic performance of DISCO-MRA in grading residual aneurysm in comparison with TOF-MRA in patients with treated intracranial aneurysms. <h3>MATERIALS AND METHODS:</h3> Patients with endovascular treatment and having undergone DISCO-MRA, TOF-MRA, and DSA were included for review. The voxel size and acquisition time were 0.75 × 0.75 × 1 mm<sup>3</sup>/6 seconds for DISCO-MRA and 0.6 × 0.6 × 1 mm<sup>3</sup>/6 minutes for TOF-MRA. Residual aneurysms were determined using the Modified Raymond-Roy Classification on TOF-MRA and DISCO-MRA by 2 neuroradiologists independently and were compared against DSA as the reference standard. Statistical analysis was performed using the κ statistic and the χ<sup>2</sup> test. <h3>RESULTS:</h3> Sixty-eight treated intracranial aneurysms were included. The intermodality agreement was κ = 0.82 (95% CI, 0.67–0.97) between DISCO and DSA and 0.44 (95% CI, 0.28–0.61) between TOF and DSA. Modified Raymond-Roy Classification scores matched DSA scores in 60/68 cases (88%; χ<sup>2</sup> = 144.4, <i>P</i> &lt; .001 for DISCO and 46/68 cases (68%; χ<sup>2</sup> = 65.0, <i>P</i> &lt; .001) for TOF. The diagnostic accuracy for the detection of aneurysm remnants was higher for DISCO (0.96; 95% CI, 0.88–0.99) than for TOF (0.79; 95% CI, 0.68–0.88). <h3>CONCLUSIONS:</h3> In patients with endovascularly treated intracranial aneurysms, DISCO-MRA provides superior diagnostic performance in comparison with TOF-MRA in delineating residual aneurysms in a fraction of the time.","journal":"American Journal of Neuroradiology","year":2022,"id":291060,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9546,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":973934,"name":"Raghav Gupta","orcid":"0000-0002-3357-8584","position":1,"is_corresponding":false},{"id":2001,"name":"Puneet Belani","orcid":"0000-0001-8618-8136","position":2,"is_corresponding":false},{"id":909217,"name":"Aichi Chien","orcid":"0000-0001-6233-4047","position":3,"is_corresponding":false},{"id":674004,"name":"Amish Doshi","orcid":"0000-0002-2507-436X","position":4,"is_corresponding":false},{"id":671298,"name":"Reade De Leacy","orcid":"0000-0001-9447-5338","position":5,"is_corresponding":false},{"id":690492,"name":"Johanna T. Fifi","orcid":"0000-0001-7786-5668","position":6,"is_corresponding":false},{"id":785989,"name":"J Mocco","orcid":"0000-0001-5489-2524","position":7,"is_corresponding":false},{"id":2002,"name":"Kambiz Nael","orcid":"0000-0002-4194-9488","position":8,"is_corresponding":false},{"id":973933,"name":"Puja Shahrouki","orcid":"0000-0002-8554-2794","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-19T00:30:34.502076Z","pmid":"35672082","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":[]}