{"doi":"10.3390/tomography11100111","title":"Quantitative Volumetric Analysis Using 3D Ultrasound Tomography for Breast Mass Characterization","abstract":"Breast cancer detection remains a significant challenge, with traditional mammography presenting barriers such as discomfort, radiation exposure, high false-positive rates, and financial burden. Moreover, younger women frequently fall outside routine mammographic screening guidelines, leaving critical gaps in early detection. Objectives: This study investigates the potential of quantitative transmission breast acoustic computed tomography scanner imaging (QT3D) as an innovative, non-invasive imaging modality for characterizing and evaluating breast masses. Methods: A comparative analysis between QT3D imaging and magnetic resonance imaging (MRI) was conducted in a cohort of patients with biopsy-proven benign or malignant breast lesions, comparing key metrics in quantifying breast masses for the purposes of breast mass characterization. Results: The findings in this study highlight its capability in identifying relatively small tumors, multiple lesions, satellite lesions, intraductal extensions, and calcifications, in addition to offering valuable diagnostic insights. Conclusions: This work is a first step toward studies essential for confirming its clinical feasibility, establishing its role in breast cancer tumor characterization, and potentially improving patient outcomes.","journal":"Tomography","year":2025,"id":547384,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9554,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1440238,"name":"David Alberico","orcid":null,"position":1,"is_corresponding":false},{"id":1440239,"name":"Joyce Yip","orcid":null,"position":2,"is_corresponding":false},{"id":294048,"name":"James Wiskin","orcid":"0000-0001-8178-3905","position":3,"is_corresponding":false},{"id":294049,"name":"Bilal Malik","orcid":"0000-0003-4824-9684","position":4,"is_corresponding":false},{"id":1440240,"name":"Raluca Dinu","orcid":null,"position":5,"is_corresponding":false},{"id":1439800,"name":"Belinda Curpen","orcid":"0000-0003-3271-8087","position":6,"is_corresponding":false},{"id":397080,"name":"Michael L. Oelze","orcid":"0000-0002-3099-7425","position":7,"is_corresponding":false},{"id":397081,"name":"Gregory J. Czarnota","orcid":"0000-0002-0519-2182","position":8,"is_corresponding":false},{"id":1440237,"name":"Maria L. Anzola","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:53:41.314800Z","pmid":"41150168","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":[]}