{"doi":"10.1158/1078-0432.c.6530007","title":"Data from Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI Model","abstract":"&lt;div&gt;AbstractPurpose:&lt;p&gt;Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other breast tissue voxels in a clinical setting is unknown. Here we explore the voxelwise ability to distinguish cancer from healthy breast tissue using signal contributions from the newly developed three-component multi-b-value DW-MRI model.&lt;/p&gt;Experimental Design:&lt;p&gt;Patients with pathology-proven breast cancer from two datasets (&lt;i&gt;n&lt;/i&gt; = 81 and &lt;i&gt;n&lt;/i&gt; = 25) underwent multi-b-value DW-MRI. The three-component signal contributions &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt; and &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt; and their product, &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;i&gt;C&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;, and signal fractions &lt;i&gt;F&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;, &lt;i&gt;F&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;, and &lt;i&gt;F&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;i&gt;F&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt; were compared with the image defined on maximum b-value (&lt;i&gt;DWI&lt;/i&gt;&lt;sub&gt;max&lt;/sub&gt;), conventional apparent diffusion coefficient (&lt;i&gt;ADC&lt;/i&gt;), and apparent diffusion kurtosis (&lt;i&gt;K&lt;/i&gt;&lt;sub&gt;app&lt;/sub&gt;). The ability to discriminate between cancer and healthy breast tissue was assessed by the false-positive rate given a sensitivity of 80% (FPR&lt;sub&gt;80&lt;/sub&gt;) and ROC AUC.&lt;/p&gt;Results:&lt;p&gt;Mean FPR&lt;sub&gt;80&lt;/sub&gt; for both datasets was 0.016 [95% confidence interval (CI), 0.008–0.024] for &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;i&gt;C&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;, 0.136 (95% CI, 0.092–0.180) for &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;, 0.068 (95% CI, 0.049–0.087) for &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;, 0.462 (95% CI, 0.425–0.499) for &lt;i&gt;F&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;i&gt;F&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;, 0.832 (95% CI, 0.797–0.868) for &lt;i&gt;F&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;, 0.176 (95% CI, 0.150–0.203) for &lt;i&gt;F&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt;, 0.159 (95% CI, 0.114–0.204) for &lt;i&gt;DWI&lt;/i&gt;&lt;sub&gt;max&lt;/sub&gt;, 0.731 (95% CI, 0.692–0.770) for &lt;i&gt;ADC&lt;/i&gt;, and 0.684 (95% CI, 0.660–0.709) for &lt;i&gt;K&lt;/i&gt;&lt;sub&gt;app&lt;/sub&gt;. Mean ROC AUC for &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;i&gt;C&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt; was 0.984 (95% CI, 0.977–0.991).&lt;/p&gt;Conclusions:&lt;p&gt;The &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;1&lt;/sub&gt;&lt;i&gt;C&lt;/i&gt;&lt;sub&gt;2&lt;/sub&gt; parameter of the three-component model yields a clinically useful discrimination between cancer and healthy breast tissue, superior to other DW-MRI methods and obliviating predefining lesions. This novel DW-MRI method may serve as noncontrast alternative to standard-of-care dynamic contrast-enhanced MRI.&lt;/p&gt;&lt;/div&gt;","journal":null,"year":2023,"id":405266,"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":0.8845,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":360586,"name":"Ana E. Rodríguez‐Soto","orcid":"0000-0002-9544-547X","position":1,"is_corresponding":false},{"id":360587,"name":"Christopher C. Conlin","orcid":"0000-0003-4509-8702","position":2,"is_corresponding":false},{"id":360588,"name":"Igor Vidić","orcid":"0000-0001-6610-1187","position":3,"is_corresponding":false},{"id":360589,"name":"Tyler M. Seibert","orcid":"0000-0002-4089-7399","position":4,"is_corresponding":false},{"id":242407,"name":"Anne M. Wallace","orcid":"0000-0003-2919-2491","position":5,"is_corresponding":false},{"id":353536,"name":"Somaye Zare","orcid":"0000-0003-4910-8795","position":6,"is_corresponding":false},{"id":360590,"name":"Joshua Kuperman","orcid":"0000-0002-7890-4785","position":7,"is_corresponding":false},{"id":360591,"name":"Boya Abudu","orcid":"0000-0002-7552-6141","position":8,"is_corresponding":false},{"id":360592,"name":"Grace S. Ahn","orcid":"0000-0001-6141-589X","position":9,"is_corresponding":false},{"id":436418,"name":"Michael G. Hahn","orcid":"0000-0003-2136-5191","position":10,"is_corresponding":false},{"id":360594,"name":"Neil P. Jerome","orcid":"0000-0002-9556-5930","position":11,"is_corresponding":false},{"id":362507,"name":"Agnes Østlie","orcid":null,"position":12,"is_corresponding":false},{"id":360595,"name":"Tone F. Bathen","orcid":"0000-0002-8582-6965","position":13,"is_corresponding":false},{"id":233661,"name":"Haydee Ojeda‐Fournier","orcid":"0000-0003-3773-0050","position":14,"is_corresponding":false},{"id":360596,"name":"Pål Erik Goa","orcid":"0000-0002-6866-6111","position":15,"is_corresponding":false},{"id":360597,"name":"Rebecca Rakow‐Penner","orcid":"0000-0002-2566-1978","position":16,"is_corresponding":false},{"id":19608,"name":"Anders M. Dale","orcid":"0000-0002-6126-2966","position":17,"is_corresponding":false},{"id":360585,"name":"Maren M. Sjaastad Andreassen","orcid":"0000-0002-2581-7135","position":0,"is_corresponding":true}],"reference_count":48,"raw_metadata":null,"created_at":"2026-07-19T01:20:49.237119Z","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":[]}