{"doi":"10.7302/246","title":"Vascular Deformation Mapping for CT Surveillance of Thoracic Aortic Aneurysm Growth","abstract":"Background: Aortic diameter measurements in patients with thoracic aortic aneurysm (TAA) suffer from significant measurement variability and are unable to quantify aortic growth in a comprehensive, three-dimensional manner. Purpose: To develop and validate a technique for quantification of 3D growth based on deformable image registration in a cohort of patients with thoracic aortic aneurysm (TAA). Materials & Methods: We retrospectively identified a cohort of 50 patients with ascending and descending TAA with ≥2 computed tomography angiography (CTA) studies between 2006-2020; 12 patients were excluded yielding 38 patients (68 surveillance intervals) for analysis. 3D aortic growth was quantified using Vascular Deformation Mapping (VDM), a technique that uses deformable image registration to warp an aortic mesh constructed from baseline anatomy, with growth quantified as the ratio of change in surface area at each triangular mesh element (Area Ratio). Manual segmentations were performed by independent raters to assess inter-rater reproducibility. Registration error was assessed using manually placed landmarks. Agreement between VDM and diameter measurements was assess using Pearson’s correlation and Cohen’s kappa. Results: Average age was 69.0 ± 9.3 years, and the majority were female (n=21, 55%) with aneurysm of the ascending aorta (n=26, 69%). VDM was technically successful in 35/38 (89%) patients and 58/68 intervals (85%). Median registration error was 0.77 mm (IQR: 0.54-1.10 mm). Inter-rater agreement was high for aortic segmentation (Dice= 0.97 ± 0.02) and VDM-derived Area Ratio (bias= 0.0, limits of agreement: -0.03 to 0.03). There was strong agreement (r=0.85, p<0.001) between peak Area Ratio values and diameter change. VDM detected areas of growth outside of the maximally dilated segment in 6/14 (36%) patients with growth, none of which were detected by diameter assessment. Conclusion: VDM is a novel technique for reliable and comprehensive quantitative assessment of 3D aortic growth and growth patterns in TAA patients undergoing imaging surveillance.","journal":"Deep Blue (University of Michigan)","year":2021,"id":229800,"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":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8082,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":670355,"name":"Zhangxing Bian","orcid":"0000-0003-3603-0650","position":1,"is_corresponding":false},{"id":670356,"name":"Jeffrey Dominic","orcid":"0000-0002-2363-7528","position":2,"is_corresponding":false},{"id":740340,"name":"Jiayang Zhong","orcid":null,"position":3,"is_corresponding":false},{"id":834782,"name":"Diederik Van Bakel","orcid":null,"position":4,"is_corresponding":false},{"id":425827,"name":"Ignas B. Houben","orcid":"0000-0001-8975-528X","position":5,"is_corresponding":false},{"id":425831,"name":"Himanshu J. Patel","orcid":"0000-0001-7639-2416","position":6,"is_corresponding":false},{"id":294968,"name":"Brian D. Ross","orcid":"0000-0003-2695-9140","position":7,"is_corresponding":false},{"id":419618,"name":"Gary E. Christensen","orcid":"0000-0002-1473-7375","position":8,"is_corresponding":false},{"id":309296,"name":"Charles R. Hatt","orcid":"0000-0001-7097-5434","position":9,"is_corresponding":false},{"id":425832,"name":"Nicholas S. Burris","orcid":"0000-0002-5198-4383","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-18T23:55:01.675482Z","pmid":null,"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":[]}