Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma
Objective To explore the risk factor and prediction of rupture of Barcelona Clinic Liver Cancer (BCLC) stage A primary hepatocellular carcinoma (HCC). Methods We analyzed retrospectively the clinical data of 25 patients with spontaneous rupture of BCLC stage A HCC between March 2002 and November 201...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Surgery Concepts & Practice
2020-01-01
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| Series: | Waike lilun yu shijian |
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| Online Access: | https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1595690286092-1943558213.pdf |
| _version_ | 1797648604758802432 |
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| author | YE Feng, MA Di, GONG Xiaoyong, YANG Yuchen, CHEN Yongjun |
| author_facet | YE Feng, MA Di, GONG Xiaoyong, YANG Yuchen, CHEN Yongjun |
| author_sort | YE Feng, MA Di, GONG Xiaoyong, YANG Yuchen, CHEN Yongjun |
| collection | DOAJ |
| description | Objective To explore the risk factor and prediction of rupture of Barcelona Clinic Liver Cancer (BCLC) stage A primary hepatocellular carcinoma (HCC). Methods We analyzed retrospectively the clinical data of 25 patients with spontaneous rupture of BCLC stage A HCC between March 2002 and November 2019 in our hospital with 25 patients of HCC without rupture of HCC (rHCC) by random as control. Independent risk factor of rHCC was studied by both univariate and multivariate Logistic regression. Logistic regression model to predict rHCC was studied. Results Multivariate regression analysis identified tumor protrusion from liver surface as independent risk factor associated with BCLC stage A rHCC (OR=38.333, P<0.01). Logistic regression model to predict rHCC was established successfully. Receiver operating characteristic (ROC) curves was set up. The area under the ROC curve was 0.820 with Youden index 0.640, sensitivity 0.720 and specificity 0.920. Conclusions It was shown tumor protrusion from liver surface as an independent risk factor of BCLC stage A rHCC. Logistic regression model could be used to predict effectively the risk of rupture in patients with BCLC stage A HCC. |
| first_indexed | 2024-03-11T15:34:22Z |
| format | Article |
| id | doaj.art-b281cc5ddc55452292aca67459021732 |
| institution | Directory Open Access Journal |
| issn | 1007-9610 |
| language | zho |
| last_indexed | 2024-03-11T15:34:22Z |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Journal of Surgery Concepts & Practice |
| record_format | Article |
| series | Waike lilun yu shijian |
| spelling | doaj.art-b281cc5ddc55452292aca674590217322023-10-27T02:09:15ZzhoEditorial Office of Journal of Surgery Concepts & PracticeWaike lilun yu shijian1007-96102020-01-012501404410.16139/j.1007-9610.2020.01.009Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinomaYE Feng, MA Di, GONG Xiaoyong, YANG Yuchen, CHEN Yongjun0Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaObjective To explore the risk factor and prediction of rupture of Barcelona Clinic Liver Cancer (BCLC) stage A primary hepatocellular carcinoma (HCC). Methods We analyzed retrospectively the clinical data of 25 patients with spontaneous rupture of BCLC stage A HCC between March 2002 and November 2019 in our hospital with 25 patients of HCC without rupture of HCC (rHCC) by random as control. Independent risk factor of rHCC was studied by both univariate and multivariate Logistic regression. Logistic regression model to predict rHCC was studied. Results Multivariate regression analysis identified tumor protrusion from liver surface as independent risk factor associated with BCLC stage A rHCC (OR=38.333, P<0.01). Logistic regression model to predict rHCC was established successfully. Receiver operating characteristic (ROC) curves was set up. The area under the ROC curve was 0.820 with Youden index 0.640, sensitivity 0.720 and specificity 0.920. Conclusions It was shown tumor protrusion from liver surface as an independent risk factor of BCLC stage A rHCC. Logistic regression model could be used to predict effectively the risk of rupture in patients with BCLC stage A HCC.https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1595690286092-1943558213.pdf|primary hepatocellular carcinoma|rupture|risk factor|logistic model |
| spellingShingle | YE Feng, MA Di, GONG Xiaoyong, YANG Yuchen, CHEN Yongjun Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma Waike lilun yu shijian |primary hepatocellular carcinoma|rupture|risk factor|logistic model |
| title | Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma |
| title_full | Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma |
| title_fullStr | Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma |
| title_full_unstemmed | Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma |
| title_short | Risk factor and prediction of spontaneous rupture of Barcelona Clinic Liver Cancer stage A primary hepatocellular carcinoma |
| title_sort | risk factor and prediction of spontaneous rupture of barcelona clinic liver cancer stage a primary hepatocellular carcinoma |
| topic | |primary hepatocellular carcinoma|rupture|risk factor|logistic model |
| url | https://www.qk.sjtu.edu.cn/jscp/fileup/1007-9610/PDF/1595690286092-1943558213.pdf |
| work_keys_str_mv | AT yefengmadigongxiaoyongyangyuchenchenyongjun riskfactorandpredictionofspontaneousruptureofbarcelonacliniclivercancerstageaprimaryhepatocellularcarcinoma |