{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T18:40:39Z","timestamp":1792435239536,"version":"4.5.0"},"reference-count":30,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T00:00:00Z","timestamp":1792195200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Shanghai Science and Technology Innovation Action Plan","award":["22Y11909500"],"award-info":[{"award-number":["22Y11909500"]}]},{"name":"Shanghai Science and Technology Industry High Quality Development Plan \u201cInnovative Pharmaceutical and Medical Device Product Application Demonstration\u201d Project","award":["25SF1909005"],"award-info":[{"award-number":["25SF1909005"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Vasc Med"],"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>Computed tomography perfusion (CTP) is validated to assess foot microcirculatory perfusion in peripheral artery disease (PAD). This study aimed to investigate differences in foot microcirculation on CTP between patients with claudication (Cla) and chronic limb-threatening ischemia (CLTI) and to develop diagnostic models for CLTI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This single-center prospective study enrolled hospitalized patients with PAD at Huadong Hospital, China (October 2022 to January 2024). Participants underwent preoperative foot CTP and were stratified into Cla (Rutherford category 3) and CLTI (Rutherford categories 4\u20136) groups. Baseline characteristics and perfusion parameters were recorded. Multivariable logistic regression and receiver operating characteristic curve analysis were performed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      A total of 57 patients with PAD were included (34 Cla, 23 CLTI). Resting ankle\u2013brachial index and Global Limb Anatomic Staging System scores did not differ significantly between groups. Diabetes mellitus (DM) prevalence was higher in the CLTI group (95.7% vs 52.9%;\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      = 0.002). Multivariable logistic regression identified hemoglobin (Hb) level (OR, 0.91; 95% CI, 0.822\u20130.986;\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      = 0.024), time to peak (TTP) (OR, 1.135; 95% CI, 1.045\u20131.250;\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      = 0.003), and blood flow (BF) (OR, 0.668; 95% CI, 0.499\u20130.894;\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      = 0.007) as independent predictors for CLTI. Four diagnostic models were constructed: model A (BF + DM, area under the curve [AUC] 0.864), model B (BF + Hb, AUC 0.890), model C (TTP + DM, AUC 0.895), and model D (TTP + Hb, AUC 0.874).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>Foot microcirculation differed significantly between patients with Cla and CLTI on CTP. Hb, TTP, and BF were independent predictors for CLTI. All models demonstrated good diagnostic performance, with model C yielding the highest AUC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>ClinicalTrials.gov Identifier:<\/jats:title>\n                    <jats:p>NCT05575778.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1358863x261470372","type":"journal-article","created":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T18:23:41Z","timestamp":1792261421000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Quantitative assessment of foot microcirculation by CT perfusion differentiates chronic limb-threatening ischemia from claudication in peripheral artery disease"],"prefix":"10.1177","author":[{"given":"Sha","family":"Du","sequence":"first","affiliation":[{"name":"Department of Vascular Surgery, Huadong Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keqian","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Vascular Surgery, Huadong Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Vascular Surgery, Huadong Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Vascular Surgery, Huadong Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2814-3543","authenticated-orcid":false,"given":"Wan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Vascular Surgery, Huadong Hospital, Fudan University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,17]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000001251"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2021.2126"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1161\/ATVBAHA.119.312859"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejvs.2019.05.006"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2022.12.036"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejvs.2023.07.020"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2022.101532"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1024\/0301-1526\/a000853"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.2174\/1573405618666220519144358"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvs.2019.11.030"},{"key":"e_1_3_2_12_2","first-page":"362","article-title":"Lower extremity peripheral artery disease: Diagnosis and treatment","volume":"99","author":"Firnhaber JM","year":"2019","unstructured":"Firnhaber JM, Powell CS. 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