{"doi":"10.1109/tbme.2020.3016206","title":"A Breast-Specific MR Guided Focused Ultrasound Platform and Treatment Protocol: First-in-Human Technical Evaluation","abstract":"OBJECTIVE: This paper presents and evaluates a breast-specific magnetic resonance guided focused ultrasound (MRgFUS) system. A first-in-human evaluation demonstrates the novel hardware, a sophisticated tumor targeting algorithm and a volumetric magnetic resonance imaging (MRI) protocol. METHODS: At the time of submission, N = 10 patients with non-palpable T0 stage breast cancer have been treated with the breast MRgFUS system. The described tumor targeting algorithm is evaluated both with a phantom test and in vivo during the breast MRgFUS treatments. Treatments were planned and monitored using volumetric MR-acoustic radiation force imaging (MR-ARFI) and temperature imaging (MRTI). RESULTS: Successful technical treatments were achieved in 80 % of the patients. All patients underwent the treatment with no sedation and 60 % of participants had analgesic support. The total MR treatment time ranged from 73 to 114 minutes. Mean error between desired and achieved targeting in a phantom was 2.9 ±1.8 mm while 6.2 ±1.9 mm was achieved in patient studies, assessed either with MRTI or MR-ARFI measurements. MRTI and MR-ARFI were successful in 60 % and 70 % of patients, respectively. CONCLUSION: The targeting accuracy allows the accurate placement of the focal spot using electronic steering capabilities of the transducer. The use of both volumetric MRTI and MR-ARFI provides complementary treatment planning and monitoring information during the treatment, allowing the treatment of all breast anatomies, including homogeneously fatty breasts.","journal":"IEEE Transactions on Biomedical Engineering","year":2020,"id":93405,"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":40,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7967,"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":466168,"name":"Robb Merrill","orcid":"0000-0002-7982-2028","position":1,"is_corresponding":false},{"id":466169,"name":"Emilee Minalga","orcid":"0000-0003-3475-6992","position":2,"is_corresponding":false},{"id":391212,"name":"J. Rock Hadley","orcid":"0000-0003-1021-4718","position":3,"is_corresponding":false},{"id":388327,"name":"Henrik Odéen","orcid":"0000-0003-2055-9795","position":4,"is_corresponding":false},{"id":388326,"name":"Lorne W. Hofstetter","orcid":"0000-0003-0041-6711","position":5,"is_corresponding":false},{"id":389948,"name":"Sara Johnson","orcid":"0000-0001-8796-1549","position":6,"is_corresponding":false},{"id":466170,"name":"C. Tunon de Lara","orcid":"0000-0001-6221-8943","position":7,"is_corresponding":false},{"id":466827,"name":"Sophie Auriol","orcid":null,"position":8,"is_corresponding":false},{"id":466171,"name":"Stephanie Recco","orcid":"0000-0001-8795-3784","position":9,"is_corresponding":false},{"id":466172,"name":"Erik Dumont","orcid":"0000-0003-1002-8667","position":10,"is_corresponding":false},{"id":388330,"name":"Dennis L. Parker","orcid":"0000-0003-2557-8952","position":11,"is_corresponding":false},{"id":466828,"name":"Jean Palussière","orcid":null,"position":12,"is_corresponding":false},{"id":388329,"name":"Allison Payne","orcid":"0000-0002-7724-5001","position":0,"is_corresponding":true}],"reference_count":66,"raw_metadata":null,"created_at":"2026-07-18T22:30:54.208860Z","pmid":"32784128","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":[]}