{"doi":"10.1111/jvim.16406","title":"Comparison of linear and volumetric criteria for the determination of therapeutic response in dogs with intracranial gliomas","abstract":"BACKGROUND: Brain tumor therapeutic responses can be quantified from magnetic resonance images (MRI) using 1- (1D) and 2-dimensional (2D) linear and volumetric methods, but few studies in dogs compare these techniques. HYPOTHESES: Linear methods will be obtained faster, but have less agreement than volumetric measurements. Therapeutic response agreement will be highest with the total T2W tumor volumetric (TTV) method. Therapeutic response at 6-weeks will correlate with overall survival (OS). ANIMALS: Forty-six dogs with intracranial gliomas. METHODS: Prospective study. Three raters measured tumors using 1D and 2D linear, TTV, and contrast-enhancing volumetric (CEV) techniques on 143 brain MRI to determine agreement between methods, define therapeutic responses, and assess relations with OS. RESULTS: Raters performed 1D the fastest (2.9 ± 0.57 minutes) and CEV slowest (17.8 ± 6.2 minutes). Inter- and intraobserver agreements were excellent (intraclass correlations ≥.91) across methods. Correlations between linear (1D vs 2D; ρ > .91) and volumetric (TTV vs CEV; ρ > .73) methods were stronger than linear to volumetric comparisons (ρ range, .26-.59). Incorporating clinical and imaging data resulted in fewer discordant therapeutic responses across methods. Dogs having partial tumor responses at 6 weeks had a lower death hazard than dogs with stable or progressive disease when assessed using 2D, CEV, and TTV (hazard ration 2.1; 95% confidence interval, 1.22-3.63; P = .008). CONCLUSIONS AND CLINICAL IMPORTANCE: One-dimensional, 2D, CEV, and TTV are comparable for determining therapeutic response. Given the simplicity, universal applicability, and superior performance of the TTV, we recommend its use to standardize glioma therapeutic response criteria.","journal":"Journal of Veterinary Internal Medicine","year":2022,"id":280199,"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":11,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9568,"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":566040,"name":"John L. Robertson","orcid":"0000-0003-4361-999X","position":1,"is_corresponding":false},{"id":396816,"name":"Fang‐Chi Hsu","orcid":"0000-0001-6955-929X","position":2,"is_corresponding":false},{"id":857785,"name":"Richard L. Shinn","orcid":"0000-0003-4308-4374","position":3,"is_corresponding":false},{"id":691974,"name":"Martha Larson","orcid":"0000-0003-4229-5866","position":4,"is_corresponding":false},{"id":452138,"name":"Christopher G. Rylander","orcid":null,"position":5,"is_corresponding":false},{"id":406157,"name":"Christopher T. Whitlow","orcid":"0000-0003-2392-8293","position":6,"is_corresponding":false},{"id":327945,"name":"Waldemar Debinski","orcid":null,"position":7,"is_corresponding":false},{"id":297447,"name":"Rafael V. Davalos","orcid":"0000-0003-1503-9509","position":8,"is_corresponding":false},{"id":777463,"name":"Gregory B. Daniel","orcid":"0000-0002-7313-7425","position":9,"is_corresponding":false},{"id":279129,"name":"John H. Rossmeisl","orcid":"0000-0003-1655-7076","position":10,"is_corresponding":false},{"id":857784,"name":"Josefa K. Garcia Mora","orcid":"0000-0001-6284-6210","position":0,"is_corresponding":true}],"reference_count":22,"raw_metadata":null,"created_at":"2026-07-19T00:28:59.341002Z","pmid":"35274379","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":[]}