Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram
Abstract Microvascular invasion (MVI) diagnosis relies on postoperative pathological examinations, underscoring the urgent need for a novel diagnostic method. C-Reactive Protein (CRP), has shown significant relevance to hepatocellular carcinoma (HCC) prognosis. This study aims to explore the relatio...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84835-w |
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| author | Chaohao Yang Zhiwei Liang Longshuan Zhao Renfeng Li Pengfei Ma |
| author_facet | Chaohao Yang Zhiwei Liang Longshuan Zhao Renfeng Li Pengfei Ma |
| author_sort | Chaohao Yang |
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| description | Abstract Microvascular invasion (MVI) diagnosis relies on postoperative pathological examinations, underscoring the urgent need for a novel diagnostic method. C-Reactive Protein (CRP), has shown significant relevance to hepatocellular carcinoma (HCC) prognosis. This study aims to explore the relationship between preoperative serum CRP levels and microvascular invasion in hepatocellular carcinoma and develop a nomogram model for predicting MVI. Patients were categorized into MVI-positive and MVI-negative groups for analysis. Serum CRP levels were compared between the two groups. And then use LASSO regression to screen variables and build a nomogram. CRP levels showed significant differences between the MVI-positive and MVI-negative groups. Multivariable logistic regression analysis identified CRP (OR = 4.85, P < 0.001), lnAFP (OR = 3.11, P < 0.001), WBC count (OR = 2.73, P = 0.003), and tumor diameter (OR = 2.38, P = 0.01) as independent predictors of MVI. A nomogram based on these variables showed good predictive performance in both the training and validation cohorts with dual validation. The clinical prediction nomogram model, which includes serum CRP levels, WBC count, tumor diameter, and serum AFP levels, showed good performance in predicting MVI in both the training and validation cohorts. |
| format | Article |
| id | doaj-art-fb3c2fb5f9874db093f9cd24bd1960c8 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-fb3c2fb5f9874db093f9cd24bd1960c82025-08-20T01:48:03ZengNature PortfolioScientific Reports2045-23222025-01-0115111110.1038/s41598-024-84835-wPrediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogramChaohao Yang0Zhiwei Liang1Longshuan Zhao2Renfeng Li3Pengfei Ma4Hepatopancreatobiliary Surgery Department, The first affiliated hospital of Zhengzhou universityHepatopancreatobiliary Surgery Department, The first affiliated hospital of Zhengzhou universityHepatopancreatobiliary Surgery Department, The first affiliated hospital of Zhengzhou universityHepatopancreatobiliary Surgery Department, The first affiliated hospital of Zhengzhou universityHepatopancreatobiliary Surgery Department, The first affiliated hospital of Zhengzhou universityAbstract Microvascular invasion (MVI) diagnosis relies on postoperative pathological examinations, underscoring the urgent need for a novel diagnostic method. C-Reactive Protein (CRP), has shown significant relevance to hepatocellular carcinoma (HCC) prognosis. This study aims to explore the relationship between preoperative serum CRP levels and microvascular invasion in hepatocellular carcinoma and develop a nomogram model for predicting MVI. Patients were categorized into MVI-positive and MVI-negative groups for analysis. Serum CRP levels were compared between the two groups. And then use LASSO regression to screen variables and build a nomogram. CRP levels showed significant differences between the MVI-positive and MVI-negative groups. Multivariable logistic regression analysis identified CRP (OR = 4.85, P < 0.001), lnAFP (OR = 3.11, P < 0.001), WBC count (OR = 2.73, P = 0.003), and tumor diameter (OR = 2.38, P = 0.01) as independent predictors of MVI. A nomogram based on these variables showed good predictive performance in both the training and validation cohorts with dual validation. The clinical prediction nomogram model, which includes serum CRP levels, WBC count, tumor diameter, and serum AFP levels, showed good performance in predicting MVI in both the training and validation cohorts.https://doi.org/10.1038/s41598-024-84835-wHepatocellular carcinomaMicrovascular invasionC-Reactive proteinClinical prediction model |
| spellingShingle | Chaohao Yang Zhiwei Liang Longshuan Zhao Renfeng Li Pengfei Ma Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram Scientific Reports Hepatocellular carcinoma Microvascular invasion C-Reactive protein Clinical prediction model |
| title | Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram |
| title_full | Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram |
| title_fullStr | Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram |
| title_full_unstemmed | Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram |
| title_short | Prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum C-reactive protein-based nomogram |
| title_sort | prediction of microvascular invasion in hepatocellular carcinoma using a preoperative serum c reactive protein based nomogram |
| topic | Hepatocellular carcinoma Microvascular invasion C-Reactive protein Clinical prediction model |
| url | https://doi.org/10.1038/s41598-024-84835-w |
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