{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T21:57:33Z","timestamp":1761947853253},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2013,1,16]],"date-time":"2013-01-16T00:00:00Z","timestamp":1358294400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"published-print":{"date-parts":[[2013,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Radiofrequency ablation (RFA) is one of the most promising non-surgical treatments for hepatic tumors. The assessment of the therapeutic efficacy of RFA is usually obtained by visual comparison of pre- and post-treatment CT images, but no numerical quantification is performed.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>In this work, a novel method aiming at providing a more objective tool for the evaluation of RFA coverage is described. Image registration and segmentation techniques were applied to enable the visualization of the tumor and the corresponding post-RFA necrosis in the same framework. In addition, a set of numerical indexes describing tumor\/necrosis overlap and their mutual position were computed.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>After validation of segmentation step, the method was applied on a dataset composed by 10 tumors, suspected not to be completed treated. Numerical indexes showed that only two tumors were totally treated and the percentage of a residual tumor was in the range of 5.12%-35.92%.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>This work represents a first attempt to obtain a quantitative tool aimed to assess the accuracy of RFA treatment. The possibility to visualize the tumor and the correspondent post-RFA necrosis in the same framework and the definition of some synthetic numerical indexes could help clinicians in ameliorating RFA treatment.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2342-13-3","type":"journal-article","created":{"date-parts":[[2013,1,16]],"date-time":"2013-01-16T11:15:33Z","timestamp":1358334933000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Radiofrequency ablation of liver tumors: quantitative assessment of tumor coverage through CT image processing"],"prefix":"10.1186","volume":"13","author":[{"given":"Katia","family":"Passera","sequence":"first","affiliation":[]},{"given":"Sabrina","family":"Selvaggi","sequence":"additional","affiliation":[]},{"given":"Davide","family":"Scaramuzza","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Garbagnati","sequence":"additional","affiliation":[]},{"given":"Daniele","family":"Vergnaghi","sequence":"additional","affiliation":[]},{"given":"Luca","family":"Mainardi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,1,16]]},"reference":[{"key":"174_CR1","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1007\/s00330-005-2652-x","volume":"15","author":"E Buscarini","year":"2005","unstructured":"Buscarini E, Savoia A, Brambilla G, Menozzi F, Reduzzi L, Strobel D, Hansler J, Buscarini L, Gaiti L, Zambelli A: Radiofrequency thermal ablation of liver tumors. 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