A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma
Abstract Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are the most prevalent histologic types of primary liver cancer (PLC). Although ICC and HCC share similar risk factors and clinical manifestations, ICC usually bears poorer prognosis than HCC. Confidently discriminatin...
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| Format: | Article |
| Language: | English |
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Wiley
2018-03-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.1341 |
| _version_ | 1797390090885922816 |
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| author | Mengmeng Wang Yuzhen Gao Huijuan Feng Elisa Warner Mingrui An Jian'an Jia Shipeng Chen Meng Fang Jun Ji Xing Gu Chunfang Gao |
| author_facet | Mengmeng Wang Yuzhen Gao Huijuan Feng Elisa Warner Mingrui An Jian'an Jia Shipeng Chen Meng Fang Jun Ji Xing Gu Chunfang Gao |
| author_sort | Mengmeng Wang |
| collection | DOAJ |
| description | Abstract Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are the most prevalent histologic types of primary liver cancer (PLC). Although ICC and HCC share similar risk factors and clinical manifestations, ICC usually bears poorer prognosis than HCC. Confidently discriminating ICC and HCC before surgery is beneficial to both treatment and prognosis. Given the lack of effective differential diagnosis biomarkers and methods, construction of models based on available clinicopathological characteristics is in need. Nomograms present a simple and efficient way to make a discrimination. A total of 2894 patients who underwent surgery for PLC were collected. Of these, 1614 patients formed the training cohort for nomogram construction, and thereafter, 1280 patients formed the validation cohort to confirm the model's performance. Histopathologically confirmed ICC was diagnosed in 401 (24.8%) and 296 (23.1%) patients in these two cohorts, respectively. A nomogram integrating six easily obtained variables (Gender, Hepatitis B surface antigen, Aspartate aminotransferase, Alpha‐fetoprotein, Carcinoembryonic antigen, Carbohydrate antigen 19‐9) is proposed in accordance with Akaike's Information Criterion (AIC). A score of 15 was determined as the cut‐off value, and the corresponding discrimination efficacy was sufficient. Additionally, patients who scored higher than 15 suffered poorer prognosis than those with lower scores, regardless of the subtype of PLC. A nomogram for clinical discrimination of ICC and HCC has been established, where a higher score indicates ICC and poor prognosis. Further application of this nomogram in multicenter investigations may confirm the practicality of this tool for future clinical use. |
| first_indexed | 2024-03-08T23:06:33Z |
| format | Article |
| id | doaj.art-88ce7c8592a5473cbc9d945e99027690 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-03-08T23:06:33Z |
| publishDate | 2018-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-88ce7c8592a5473cbc9d945e990276902023-12-15T12:32:12ZengWileyCancer Medicine2045-76342018-03-017364665410.1002/cam4.1341A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinomaMengmeng Wang0Yuzhen Gao1Huijuan Feng2Elisa Warner3Mingrui An4Jian'an Jia5Shipeng Chen6Meng Fang7Jun Ji8Xing Gu9Chunfang Gao10Department of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Surgery University of Michigan Medical School Ann Arbor 48109 MichiganDepartment of Surgery University of Michigan Medical School Ann Arbor 48109 MichiganDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaDepartment of Laboratory Medicine Shanghai Eastern Hepatobiliary Surgery Hospital Second Military Medical University Shanghai 200438 ChinaAbstract Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are the most prevalent histologic types of primary liver cancer (PLC). Although ICC and HCC share similar risk factors and clinical manifestations, ICC usually bears poorer prognosis than HCC. Confidently discriminating ICC and HCC before surgery is beneficial to both treatment and prognosis. Given the lack of effective differential diagnosis biomarkers and methods, construction of models based on available clinicopathological characteristics is in need. Nomograms present a simple and efficient way to make a discrimination. A total of 2894 patients who underwent surgery for PLC were collected. Of these, 1614 patients formed the training cohort for nomogram construction, and thereafter, 1280 patients formed the validation cohort to confirm the model's performance. Histopathologically confirmed ICC was diagnosed in 401 (24.8%) and 296 (23.1%) patients in these two cohorts, respectively. A nomogram integrating six easily obtained variables (Gender, Hepatitis B surface antigen, Aspartate aminotransferase, Alpha‐fetoprotein, Carcinoembryonic antigen, Carbohydrate antigen 19‐9) is proposed in accordance with Akaike's Information Criterion (AIC). A score of 15 was determined as the cut‐off value, and the corresponding discrimination efficacy was sufficient. Additionally, patients who scored higher than 15 suffered poorer prognosis than those with lower scores, regardless of the subtype of PLC. A nomogram for clinical discrimination of ICC and HCC has been established, where a higher score indicates ICC and poor prognosis. Further application of this nomogram in multicenter investigations may confirm the practicality of this tool for future clinical use.https://doi.org/10.1002/cam4.1341Differential diagnosis modelhepatocellular carcinomaintrahepatic cholangiocarcinomanomogram |
| spellingShingle | Mengmeng Wang Yuzhen Gao Huijuan Feng Elisa Warner Mingrui An Jian'an Jia Shipeng Chen Meng Fang Jun Ji Xing Gu Chunfang Gao A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma Cancer Medicine Differential diagnosis model hepatocellular carcinoma intrahepatic cholangiocarcinoma nomogram |
| title | A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma |
| title_full | A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma |
| title_fullStr | A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma |
| title_full_unstemmed | A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma |
| title_short | A nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma |
| title_sort | nomogram incorporating six easily obtained parameters to discriminate intrahepatic cholangiocarcinoma and hepatocellular carcinoma |
| topic | Differential diagnosis model hepatocellular carcinoma intrahepatic cholangiocarcinoma nomogram |
| url | https://doi.org/10.1002/cam4.1341 |
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