{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T17:29:09Z","timestamp":1787246949414,"version":"build-2736575974"},"reference-count":24,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T00:00:00Z","timestamp":1771286400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Vascular"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Accurately predicting treatment responses in varicose vein sclerotherapy is crucial for improving patient quality of life and optimizing overall healthcare costs.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Our study aims to accurately predict treatment responses in telangiectasia and reticular vein treatment in lower extremity sclerotherapy, by taking advantage of machine learning\u2019s (ML) ability to navigate complex data sets and provide personalized predictions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>ML algorithms were used to predict outcomes in 99 patients with varicose veins. The data set, which included patient characteristics such as age, gender, dosage, and photographs, was analyzed using six ML methods. Response to treatment was divided into three groups as \u201cpoor,\u201d \u201cmoderate,\u201d and \u201cgood\u201d as a result of clinical visual evaluation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Individuals with no prior treatment exhibited a notably higher rate of \u201cGood\u201d responses than those who had received prior treatment. (p &lt; .001) The group receiving a 2% polidocanol dosage showed a higher rate of \u201cGood\u201d responses than the group receiving a 1% polidocanol dosage. (p = .008) XGBoost outperformed other ML algorithms, particularly excelling in predicting \u201cPoor\u201d responses.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>ML-based predictive models for assessing sclerotherapy outcomes in varicose veins, uncovering significant efficacy determinants such as dosage and prior treatment history. While pioneering ML in sclerotherapy prediction, our study acknowledges limitations and proposes future research directions, including additional variable incorporation and real-time predictive tool development.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/17085381261425716","type":"journal-article","created":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T20:01:12Z","timestamp":1771358472000},"page":"786-794","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting treatment outcome in sclerotherapy of reticular veins and telangiectasia using machine learning: A comprehensive analysis and performance evaluation"],"prefix":"10.1177","volume":"34","author":[{"given":"Cesur","family":"Samanc\u0131","sequence":"first","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00f6k\u00e7en","family":"Y\u0131ld\u0131z Civan","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vefa","family":"Salt","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rauf","family":"Hamid","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Orkun","family":"Civan","sequence":"additional","affiliation":[{"name":"Bakirkoy Dr Sadi Konuk Training & Research Hospital, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0566-2180","authenticated-orcid":false,"given":"\u00d6mer Faruk","family":"Sar\u0131ahmeto\u011flu","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4288-7861","authenticated-orcid":false,"given":"Seyfullah Halit","family":"Karag\u00f6z","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tu\u011fba","family":"Bayraktar","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K\u0131ymet Sena","family":"Mucuk","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raziye Sena","family":"Y\u0131lmaz","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sahar","family":"Alizade","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tu\u011fbanur","family":"G\u00fcle\u00e7","sequence":"additional","affiliation":[{"name":"Boyabat 75 Years State Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatih","family":"G\u00fcl\u015fen","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7881-3157","authenticated-orcid":false,"given":"Ahmet","family":"Ba\u015f","sequence":"additional","affiliation":[{"name":"Istanbul University-Cerrahpasa, Istanbul, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,2,17]]},"reference":[{"key":"e_1_3_5_2_2","first-page":"1","article-title":"Endovascular radiofrequency ablation for varicose veins: an evidence-based analysis","volume":"11","author":"Medical Advisory Secretariat","year":"2011","unstructured":"Medical Advisory Secretariat. 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