{"doi":"10.1007/s40477-020-00447-w","title":"S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay","abstract":null,"journal":"Journal of Ultrasound","year":2020,"id":675109,"datarank":0.38474240361923057,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":0.0,"self_endowment_contribution":0.38474240361923057,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1763943,"name":"Alessia Angela Maria Orlando","orcid":"0000-0001-9048-1730","position":1,"is_corresponding":false},{"id":1763944,"name":"Luigi Spatafora","orcid":"0000-0002-0226-0696","position":2,"is_corresponding":false},{"id":1763945,"name":"Mariangela Dimarco","orcid":"0000-0003-0931-2302","position":3,"is_corresponding":false},{"id":1197432,"name":"Cesare Gagliardo","orcid":"0000-0003-4088-2020","position":4,"is_corresponding":false},{"id":1763946,"name":"Adele Taibbi","orcid":"0000-0001-6442-744X","position":5,"is_corresponding":false},{"id":1763942,"name":"Tommaso Vincenzo Bartolotta","orcid":"0000-0002-8808-379X","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay","abstract":"High-resolution ultrasonography (US) is a valuable tool in breast imaging. Nevertheless, US is an operator-dependent technique: to overcome this issue, the American College of Radiology (ACR) has developed the breast imaging-reporting and data system (BI-RADS) US lexicon. Despite this effort, the variability in the assessment of focal breast lesions (FBLs) with the use of BI-RADS US lexicon is still an issue. Within this framework, evidence shows that computer-aided image analysis may be effective in improving the radiologist's assessment of FBLs. In particular, S-Detect is a newly developed image-analytic computer program that provides assistance in morphologic analysis of FBLs seen on US according to the BI-RADS US lexicon. This pictorial essay describes state-of-the-art of sonographic characterization of FBLs by using S-Detect.","is_dataset_classified":null,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"32185702","pmcid":"PMC7242582","openalex_id":"https://openalex.org/W3012175946","authors":[],"funders":[],"total_grants":0,"fwci":1.1951,"citation_percentile":0.77574975,"influential_citations":0,"citation_trend":[{"year":2020,"count":1},{"year":2021,"count":5},{"year":2022,"count":1},{"year":2023,"count":2},{"year":2024,"count":1},{"year":2025,"count":2}],"oa_status":"green","license":"http://www.springer.com/tdm","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7242582","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7242582","host_type":"repository"},{"url":"http://link.springer.com/content/pdf/10.1007/s40477-020-00447-w.pdf","host_type":"publisher"},{"url":"http://link.springer.com/article/10.1007/s40477-020-00447-w/fulltext.html","host_type":"publisher"},{"url":"https://doi.org/10.1007/s40477-020-00447-w","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/32185702","host_type":"repository"},{"url":"http://hdl.handle.net/10447/428850","host_type":"repository"}],"fields_of_study":["Breast Lesions and Carcinomas","AI in cancer detection","Ultrasound Imaging and Elastography","Breast","Breast Neoplasms","Female","Humans","Image Interpretation, Computer-Assisted","Radiology Information Systems","Ultrasonography, Mammary"],"mesh_terms":["Breast","Breast Neoplasms","Female","Humans","Image Interpretation, Computer-Assisted","Radiology Information Systems","Ultrasonography, Mammary"],"keywords":["Lexicon","BI-RADS","Breast imaging","Medicine","Ultrasonography","Radiology","Mammography","Medical physics","Artificial intelligence","Computer science","Breast cancer","Internal medicine","Breast neoplasms","decision-making","Computer-assisted Diagnosis","Problem-solving"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"doi"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-16T19:48:20.233604Z","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":[]}