{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T09:05:48Z","timestamp":1771232748699,"version":"3.50.1"},"reference-count":22,"publisher":"Wiley","license":[{"start":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T00:00:00Z","timestamp":1662508800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2022,9,7]]},"abstract":"<jats:p>Objective. This study is aimed at exploring the efficacy of transarterial chemotherapy embolization (TACE)+radiofrequency ablation+sorafenib in the treatment of patients with recurrent liver cancer and at constructing its prediction model. Methods. A total of 60 patients with recurrent liver cancer treated in our hospital from March 2020 to March 2022 were enrolled and divided into two groups according to treatment methods, with 30 patients in each group. Group A adopted TACE+radiofrequency ablation+sorafenib therapy while group B adopted TACE+radiofrequency ablation therapy. Clinical efficacy, complications, and adverse reactions of the two groups were observed. A total of 30 patients with nonrecurrent liver cancer in the same period were enrolled. 60 patients with recurrent liver cancer and 30 patients with nonrecurrent liver cancer were taken as the recurrence group and the nonrecurrence group, respectively. The baseline data and clinical data of the patients were queried by the Hospital Information System. The data included age, gender, Child-Pugh grade, HBV\/HCV infection, portal vein tumor thrombus, degree of differentiation, vascular invasion, serum alpha fetal protein (AFP) level, number of tumors, maximum diameter of tumors, and number of nodules. The logistic regression analysis was used to analyze the independent risk factors for liver cancer recurrence. The Hosmer-Lemeshow test was used to analyze the degree of fitting between the prediction model and the standard curve. The ROC curve was used to analyze the predictive value of the model for liver cancer recurrence. Results. The objective effective rate and disease control rate in group A (33.33% and 70.00%) were higher than those in group B (10.00% and 43.33%), and the differences were statistically significant (both <jats:inline-formula>\n                     <a:math xmlns:a=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\">\n                        <a:mi>P<\/a:mi>\n                        <a:mo>&lt;<\/a:mo>\n                        <a:mn>0.05<\/a:mn>\n                     <\/a:math>\n                  <\/jats:inline-formula>). There were no significant differences in the incidence of complications such as embolism syndrome, hand and foot skin reaction, gastrointestinal reaction, hypertension, diaphragmatic injury and bleeding, and biliary leakage and fever between the two groups (all <jats:inline-formula>\n                     <c:math xmlns:c=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\">\n                        <c:mi>P<\/c:mi>\n                        <c:mo>&gt;<\/c:mo>\n                        <c:mn>0.05<\/c:mn>\n                     <\/c:math>\n                  <\/jats:inline-formula>). The proportions of patients in the recurrence group with portal vein tumor thrombus (PVTT), medium and high degree of differentiation, combined with vascular invasion, serum AFP <jats:inline-formula>\n                     <e:math xmlns:e=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M3\">\n                        <e:mtext>level<\/e:mtext>\n                        <e:mo>\u2265<\/e:mo>\n                        <e:mn>400<\/e:mn>\n                        <e:mtext>\u2009<\/e:mtext>\n                     <\/e:math>\n                  <\/jats:inline-formula>ng\/dL, multiple tumors, maximum tumor <jats:inline-formula>\n                     <g:math xmlns:g=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M4\">\n                        <g:mtext>diameter<\/g:mtext>\n                        <g:mo>\u2265<\/g:mo>\n                        <g:mn>5<\/g:mn>\n                        <g:mtext>\u2009<\/g:mtext>\n                        <g:mtext>cm<\/g:mtext>\n                     <\/g:math>\n                  <\/jats:inline-formula>, combined with cirrhosis, and polynodules were all higher than those in the nonrecurrence group; the differences were statistically significant (all <jats:inline-formula>\n                     <i:math xmlns:i=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M5\">\n                        <i:mi>P<\/i:mi>\n                        <i:mo>&lt;<\/i:mo>\n                        <i:mn>0.05<\/i:mn>\n                     <\/i:math>\n                  <\/jats:inline-formula>). Complication of PVTT, the degree of medium and high differentiation, and the maximum tumor <jats:inline-formula>\n                     <k:math xmlns:k=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M6\">\n                        <k:mtext>diameter<\/k:mtext>\n                        <k:mo>\u2265<\/k:mo>\n                        <k:mn>5<\/k:mn>\n                        <k:mtext>\u2009<\/k:mtext>\n                     <\/k:math>\n                  <\/jats:inline-formula>cm were independent risk factors for recurrence of liver cancer (all <jats:inline-formula>\n                     <m:math xmlns:m=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M7\">\n                        <m:mi>P<\/m:mi>\n                        <m:mo>&lt;<\/m:mo>\n                        <m:mn>0.05<\/m:mn>\n                     <\/m:math>\n                  <\/jats:inline-formula>). The prediction model of liver cancer recurrence was obtained by multiple regression analysis, <jats:inline-formula>\n                     <o:math xmlns:o=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M8\">\n                        <o:mi>P<\/o:mi>\n                        <o:mo>=<\/o:mo>\n                        <o:mn>1<\/o:mn>\n                        <o:mo>\/<\/o:mo>\n                        <o:mfenced open=\"[\" close=\"]\">\n                           <o:mrow>\n                              <o:mn>1<\/o:mn>\n                              <o:mo>+<\/o:mo>\n                              <o:msup>\n                                 <o:mrow>\n                                    <o:mi>e<\/o:mi>\n                                 <\/o:mrow>\n                                 <o:mrow>\n                                    <o:mo>\u2212<\/o:mo>\n                                    <o:mfenced open=\"(\" close=\")\">\n                                       <o:mrow>\n                                          <o:mo>\u2212<\/o:mo>\n                                          <o:mn>5.441<\/o:mn>\n                                          <o:mo>+<\/o:mo>\n                                          <o:mn>6.154<\/o:mn>\n                                          <o:mo>\u2217<\/o:mo>\n                                          <o:mtext>PVTT<\/o:mtext>\n                                          <o:mo>+<\/o:mo>\n                                          <o:mn>3.475<\/o:mn>\n                                          <o:mo>\u2217<\/o:mo>\n                                          <o:mtext>differentiateddegree<\/o:mtext>\n                                          <o:mo>+<\/o:mo>\n                                          <o:mn>3.001<\/o:mn>\n                                          <o:mo>\u2217<\/o:mo>\n                                          <o:mtext>maximumdiameteroftumor<\/o:mtext>\n                                       <\/o:mrow>\n                                    <\/o:mfenced>\n                                 <\/o:mrow>\n                              <\/o:msup>\n                           <\/o:mrow>\n                        <\/o:mfenced>\n                     <\/o:math>\n                  <\/jats:inline-formula>. The Hosmer-Lemeshow test showed that <jats:inline-formula>\n                     <u:math xmlns:u=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M9\">\n                        <u:msup>\n                           <u:mrow>\n                              <u:mi>\u03c7<\/u:mi>\n                           <\/u:mrow>\n                           <u:mrow>\n                              <u:mn>2<\/u:mn>\n                           <\/u:mrow>\n                        <\/u:msup>\n                        <u:mo>=<\/u:mo>\n                        <u:mn>1.558<\/u:mn>\n                     <\/u:math>\n                  <\/jats:inline-formula> (<jats:inline-formula>\n                     <w:math xmlns:w=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M10\">\n                        <w:mi>P<\/w:mi>\n                        <w:mo>=<\/w:mo>\n                        <w:mn>0.992<\/w:mn>\n                     <\/w:math>\n                  <\/jats:inline-formula>). According to the ROC curve analysis, the AUC, SE, and 95% CI value of the prediction model for liver cancer recurrence were 0.977, 0.012, and 0.953-1.000, respectively. Conclusion. TACE+radiofrequency ablation+sorafenib is effective in the treatment of recurrent liver cancer, and the prediction model established based on the risk factor has high predictive value for patients with recurrent liver cancer.<\/jats:p>","DOI":"10.1155\/2022\/6879035","type":"journal-article","created":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T22:50:10Z","timestamp":1662591010000},"page":"1-7","source":"Crossref","is-referenced-by-count":2,"title":["Efficacy of TACE+Radiofrequency Ablation+Sorafenib in the Treatment of Patients with Recurrent Liver Cancer and Construction of Prediction Model"],"prefix":"10.1155","volume":"2022","author":[{"given":"Aimin","family":"Sun","sequence":"first","affiliation":[{"name":"Department of Oncology, Qingdao Chengyang District People\u2019s Hospital, Qingdao, Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shumei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Outpatient, Qingdao Chengyang District People\u2019s Hospital, Qingdao, Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6149-3844","authenticated-orcid":true,"given":"Minggang","family":"Lin","sequence":"additional","affiliation":[{"name":"Department of Oncology, Qingdao Chengyang District People\u2019s Hospital, Qingdao, Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dapeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Interventional Medicine, Qingdao University, Qingdao, Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Oncology, Qingdao Chengyang District People\u2019s Hospital, Qingdao, Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Oncology, Qingdao Chengyang District People\u2019s Hospital, Qingdao, Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of 3D Medical Printing Center, Qingdao Chengyang District People\u2019s Hospital, Qingdao Shandong 226001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1038\/s41568-021-00383-9"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2018.12.001"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.11.041"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1272\/jnms.JNMS.2019_86-410"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1038\/nrclinonc.2016.195"},{"issue":"4","key":"6","first-page":"1402","article-title":"Clinical efficacy analysis of transcatheter arterial chemoembolization (TACE) combined with radiofrequency ablation (RFA) in primary liver cancer and recurrent liver cancer","volume":"24","author":"Y. Sun","year":"2019","journal-title":"Journal of BUON"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1007\/s00268-019-05225-2"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1007\/s12029-020-00498-6"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1007\/s12094-018-1902-8"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s00270-021-02791-8"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2021.742630"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1634\/theoncologist.2018-0337"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1093\/europace\/euaa328"},{"issue":"1","key":"14","first-page":"26","article-title":"Guidelines for the diagnosis and treatment of primary liver cancer (2022 edition)","volume":"35","author":"National Health Commission of the People's Republic of China","year":"2022","journal-title":"Infectious Disease Information"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.21037\/atm.2020.03.71"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.33677"},{"issue":"2","key":"17","first-page":"5","article-title":"The relationship between EP-CAM, N-CAM1 and C-KIT and the grade, metastasis and prognosis of primary liver cancer","volume":"35","author":"Z. Guowen","year":"2020","journal-title":"Journal of Practical Cancer"},{"issue":"1","key":"18","first-page":"6","article-title":"Expression of SLC5A8 gene in primary liver cancer and its relationship with prognosis of liver cancer","volume":"23","author":"H. Li Wei","year":"2019","journal-title":"Chinese Journal of Modern Surgery"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1007\/s12253-019-00585-5"},{"issue":"1","key":"20","first-page":"3","article-title":"Risk factors, patterns and survival analysis of advanced liver cancer recurrence after radiofrequency ablation","volume":"30","author":"C. Yi","year":"2021","journal-title":"Imaging Diagnosis and Interventional Radiology"},{"issue":"3","key":"21","first-page":"169","article-title":"Analysis of risk factors for recurrence of liver cancer after radiofrequency ablation and preoperative prediction score","volume":"27","author":"H. Kun","year":"2021","journal-title":"Chinese Journal of Hepatobiliary Surgery"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1001\/jamasurg.2018.4334"}],"updated-by":[{"DOI":"10.1155\/2023\/9850243","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000},"record-id":"59377"},{"DOI":"10.1155\/2023\/9850243","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:00:00Z","timestamp":1702425600000}}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2022\/6879035.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2022\/6879035.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2022\/6879035.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,7]],"date-time":"2022-09-07T22:50:41Z","timestamp":1662591041000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cmmm\/2022\/6879035\/"}},"subtitle":[],"editor":[{"given":"Min","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,9,7]]},"references-count":22,"alternative-id":["6879035","6879035"],"URL":"https:\/\/doi.org\/10.1155\/2022\/6879035","relation":{"retraction":[{"id-type":"doi","id":"10.1155\/2023\/9850243","asserted-by":"object"}]},"ISSN":["1748-6718","1748-670X"],"issn-type":[{"value":"1748-6718","type":"electronic"},{"value":"1748-670X","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9,7]]}}}