{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Cheng Y"],"funding":["NIBIB NIH HHS"],"pagination":["12"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12948959"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["4(1)"],"pubmed_abstract":["This study reports the first clinical longitudinal photoacoustic imaging (PAI) of chronic foot ulcers, a major complication in patients with peripheral vascular disorders. Compared to traditional methods such as ABI or near-infrared spectroscopy, the photoacoustic imaging approach provides non-invasive, high-resolution, and quantitative monitoring of vascular dynamics over time. Our system provided dorsal-side imaging of vascular structures with an expanded field of view and incorporated a skin artifact suppression algorithm to improve visualization of subdermal vasculature. From the acquired 2D and 3D images, we extracted a set of 45 quantitative features, representing signal intensity, texture complexity, and morphological changes associated with ulcer progression. Using a LASSO-based fe"],"journal":["Npj imaging"],"pubmed_title":["Predictive modeling of chronic foot ulcer outcomes using longitudinal photoacoustic imaging."],"pmcid":["PMC12948959"],"funding_grant_id":["R01EB035188","R01EB028978"],"pubmed_authors":["Bing RW","Huang C","Harris LM","Xi Y","Xia J","Yu SL","Zhang H","Zhang X","Komornicki I","Chakraborty S","Xu W","Cheng Y"],"additional_accession":[]},"is_claimable":false,"name":"Predictive modeling of chronic foot ulcer outcomes using longitudinal photoacoustic imaging.","description":"This study reports the first clinical longitudinal photoacoustic imaging (PAI) of chronic foot ulcers, a major complication in patients with peripheral vascular disorders. Compared to traditional methods such as ABI or near-infrared spectroscopy, the photoacoustic imaging approach provides non-invasive, high-resolution, and quantitative monitoring of vascular dynamics over time. Our system provided dorsal-side imaging of vascular structures with an expanded field of view and incorporated a skin artifact suppression algorithm to improve visualization of subdermal vasculature. From the acquired 2D and 3D images, we extracted a set of 45 quantitative features, representing signal intensity, texture complexity, and morphological changes associated with ulcer progression. Using a LASSO-based fe","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-16T23:31:58.111Z","creation":"2026-07-12T03:11:17.16Z"},"accession":"S-EPMC12948959","cross_references":{"pubmed":["41760883"],"doi":["10.1038/s44303-026-00143-0"]}}