Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand
Abstract Background To evaluate survival rates of hepatocellular carcinoma (HCC), the Chiang Mai Cancer Registry provided characteristics data of 6276 HCC patients diagnosed between 1998-2020 based on evolution of imaging diagnosis. Evolution can be separated into four cohorts, namely, cohort 1 (199...
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BMC
2023-11-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-023-11429-6 |
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| author | Nawapon Nakharutai Imjai Chitapanarux Patrinee Traisathit Pimwarat Srikummoon Suwalee Pojchamarnwiputh Nakarin Inmutto Wittanee Na Chiangmai |
| author_facet | Nawapon Nakharutai Imjai Chitapanarux Patrinee Traisathit Pimwarat Srikummoon Suwalee Pojchamarnwiputh Nakarin Inmutto Wittanee Na Chiangmai |
| author_sort | Nawapon Nakharutai |
| collection | DOAJ |
| description | Abstract Background To evaluate survival rates of hepatocellular carcinoma (HCC), the Chiang Mai Cancer Registry provided characteristics data of 6276 HCC patients diagnosed between 1998-2020 based on evolution of imaging diagnosis. Evolution can be separated into four cohorts, namely, cohort 1 (1990-2005) when we had ultrasound (US) and single-phase computed tomography (CT), cohort 2 (2006-2009) when one multi-phase CT and one magnetic resonance imaging (MRI) were added, cohort 3 (2010-2015) when MRI with LI-RADS was added, and finally, cohort 4 (2016-2020) when two upgraded MRIs with LI-RADS were added. Methods Cox proportional hazard models were used to determine the relation between death and risk factors including methods of imagining diagnosis, gender, age of diagnosis, tumor stages, history of smoking and alcohol-use, while Kaplan-Meier curves were used to calculate survival rates. Results The median age of diagnosis was 57.0 years (IQR: 50.0-65.0) and the median survival time was 5.8 months (IQR: 1.9-26.8) during the follow-up period. In the univariable analysis, all factors were all associated with a higher risk of death in HCC patients except age of diagnosis. In a multivariable analysis, elderly age at diagnosis, regional and metastatic stages and advanced methods of imagining diagnosis during cohorts 2 and 3 were independently associated with the risk of death in HCC patients. The survival rate of patients diagnosed during cohort 4 was significantly higher than the other cohorts. Conclusion As a significantly increasing survival rate of HCC patients in cohort 4, advanced methods of diagnostic imaging can be a part of the recommendation to diagnose HCC. |
| first_indexed | 2024-03-11T12:40:52Z |
| format | Article |
| id | doaj.art-9b2abfb73b784200a5f65d7c87423a35 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-03-11T12:40:52Z |
| publishDate | 2023-11-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-9b2abfb73b784200a5f65d7c87423a352023-11-05T12:21:14ZengBMCBMC Cancer1471-24072023-11-0123111210.1186/s12885-023-11429-6Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern ThailandNawapon Nakharutai0Imjai Chitapanarux1Patrinee Traisathit2Pimwarat Srikummoon3Suwalee Pojchamarnwiputh4Nakarin Inmutto5Wittanee Na Chiangmai6Department of Statistics, Faculty of Science, Chiang Mai UniversityChiang Mai Cancer Registry, Maharaj Nakorn Chiang Mai Hospital, Faculty of Medicine, Chiang Mai UniversityDepartment of Statistics, Faculty of Science, Chiang Mai UniversityDepartment of Statistics, Faculty of Science, Chiang Mai UniversityDepartment of Radiology, Faculty of Medicine, Chiang Mai UniversityDepartment of Radiology, Faculty of Medicine, Chiang Mai UniversityDepartment of Radiology, Faculty of Medicine, Chiang Mai UniversityAbstract Background To evaluate survival rates of hepatocellular carcinoma (HCC), the Chiang Mai Cancer Registry provided characteristics data of 6276 HCC patients diagnosed between 1998-2020 based on evolution of imaging diagnosis. Evolution can be separated into four cohorts, namely, cohort 1 (1990-2005) when we had ultrasound (US) and single-phase computed tomography (CT), cohort 2 (2006-2009) when one multi-phase CT and one magnetic resonance imaging (MRI) were added, cohort 3 (2010-2015) when MRI with LI-RADS was added, and finally, cohort 4 (2016-2020) when two upgraded MRIs with LI-RADS were added. Methods Cox proportional hazard models were used to determine the relation between death and risk factors including methods of imagining diagnosis, gender, age of diagnosis, tumor stages, history of smoking and alcohol-use, while Kaplan-Meier curves were used to calculate survival rates. Results The median age of diagnosis was 57.0 years (IQR: 50.0-65.0) and the median survival time was 5.8 months (IQR: 1.9-26.8) during the follow-up period. In the univariable analysis, all factors were all associated with a higher risk of death in HCC patients except age of diagnosis. In a multivariable analysis, elderly age at diagnosis, regional and metastatic stages and advanced methods of imagining diagnosis during cohorts 2 and 3 were independently associated with the risk of death in HCC patients. The survival rate of patients diagnosed during cohort 4 was significantly higher than the other cohorts. Conclusion As a significantly increasing survival rate of HCC patients in cohort 4, advanced methods of diagnostic imaging can be a part of the recommendation to diagnose HCC.https://doi.org/10.1186/s12885-023-11429-6Hepatocellular carcinomaSurvival rateRisk factors |
| spellingShingle | Nawapon Nakharutai Imjai Chitapanarux Patrinee Traisathit Pimwarat Srikummoon Suwalee Pojchamarnwiputh Nakarin Inmutto Wittanee Na Chiangmai Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand BMC Cancer Hepatocellular carcinoma Survival rate Risk factors |
| title | Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand |
| title_full | Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand |
| title_fullStr | Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand |
| title_full_unstemmed | Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand |
| title_short | Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand |
| title_sort | prediction of survival and analysis of prognostic factors for hepatocellular carcinoma a 20 year of imaging diagnosis in upper northern thailand |
| topic | Hepatocellular carcinoma Survival rate Risk factors |
| url | https://doi.org/10.1186/s12885-023-11429-6 |
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