Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography
Abstract Background To assess the values of two elastography techniques combined with serological examination and clinical features in preoperative diagnosis of microvascular invasion in HCC patients. Methods A total of 74 patients with single Hepatocellular carcinoma (HCC) were included in this stu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-05-01
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| Series: | BMC Medical Imaging |
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| Online Access: | https://doi.org/10.1186/s12880-022-00819-0 |
| _version_ | 1828346822452576256 |
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| author | Chengchuan Xu Dong Jiang Bibo Tan Cuiqin Shen Jia Guo |
| author_facet | Chengchuan Xu Dong Jiang Bibo Tan Cuiqin Shen Jia Guo |
| author_sort | Chengchuan Xu |
| collection | DOAJ |
| description | Abstract Background To assess the values of two elastography techniques combined with serological examination and clinical features in preoperative diagnosis of microvascular invasion in HCC patients. Methods A total of 74 patients with single Hepatocellular carcinoma (HCC) were included in this study. Shear wave measurement and real-time tissue elastography were used to evaluate the hardness of tumor-adjacent tissues and tumor tissues, as well as the strain rate ratio per lesion before surgery. According to the pathological results, the ultrasound parameters and clinical laboratory indicators related to microvascular invasion were analyzed, and the effectiveness of each parameter in predicting the occurrence of microvascular invasion was compared. Results 33/74 patients exhibited microvascular invasion. Univariate analysis showed that the hardness of tumor-adjacent tissues (P = 0.003), elastic strain rate ratio (P = 0.032), maximum tumor diameter (P < 0.001), and alpha-fetoprotein (AFP) level (P = 0.007) was significantly different in the patients with and without microvascular invasion. The binary logistic regression analysis showed that the maximum tumor diameter (P = 0.001) was an independent risk factor for predicting microvascular invasion, while the hardness of tumor-adjacent tissues (P = 0.028) was a protective factor. The receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of the hardness of tumor-adjacent tissues, the maximum diameter of the tumor, and the predictive model Logit(P) in predicting the occurrence of MVI was 0.718, 0.775 and 0.806, respectively. Conclusion The hardness of tumor-adjacent tissues, maximum tumor diameter, and the preoperative prediction model predict the occurrence of MVI in HCC patients. |
| first_indexed | 2024-04-14T00:31:29Z |
| format | Article |
| id | doaj.art-e3415a62deec46538e20037d810ec4a4 |
| institution | Directory Open Access Journal |
| issn | 1471-2342 |
| language | English |
| last_indexed | 2024-04-14T00:31:29Z |
| publishDate | 2022-05-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj.art-e3415a62deec46538e20037d810ec4a42022-12-22T02:22:32ZengBMCBMC Medical Imaging1471-23422022-05-012211810.1186/s12880-022-00819-0Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastographyChengchuan Xu0Dong Jiang1Bibo Tan2Cuiqin Shen3Jia Guo4Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital Affiliated to Naval Medical UniversityDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital Affiliated to Naval Medical UniversityDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital Affiliated to Naval Medical UniversityJiading Branch of Shanghai First People’s HospitalDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital Affiliated to Naval Medical UniversityAbstract Background To assess the values of two elastography techniques combined with serological examination and clinical features in preoperative diagnosis of microvascular invasion in HCC patients. Methods A total of 74 patients with single Hepatocellular carcinoma (HCC) were included in this study. Shear wave measurement and real-time tissue elastography were used to evaluate the hardness of tumor-adjacent tissues and tumor tissues, as well as the strain rate ratio per lesion before surgery. According to the pathological results, the ultrasound parameters and clinical laboratory indicators related to microvascular invasion were analyzed, and the effectiveness of each parameter in predicting the occurrence of microvascular invasion was compared. Results 33/74 patients exhibited microvascular invasion. Univariate analysis showed that the hardness of tumor-adjacent tissues (P = 0.003), elastic strain rate ratio (P = 0.032), maximum tumor diameter (P < 0.001), and alpha-fetoprotein (AFP) level (P = 0.007) was significantly different in the patients with and without microvascular invasion. The binary logistic regression analysis showed that the maximum tumor diameter (P = 0.001) was an independent risk factor for predicting microvascular invasion, while the hardness of tumor-adjacent tissues (P = 0.028) was a protective factor. The receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of the hardness of tumor-adjacent tissues, the maximum diameter of the tumor, and the predictive model Logit(P) in predicting the occurrence of MVI was 0.718, 0.775 and 0.806, respectively. Conclusion The hardness of tumor-adjacent tissues, maximum tumor diameter, and the preoperative prediction model predict the occurrence of MVI in HCC patients.https://doi.org/10.1186/s12880-022-00819-0Hepatocellular carcinomaMicrovascular invasionChronic hepatitis BElastography |
| spellingShingle | Chengchuan Xu Dong Jiang Bibo Tan Cuiqin Shen Jia Guo Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography BMC Medical Imaging Hepatocellular carcinoma Microvascular invasion Chronic hepatitis B Elastography |
| title | Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography |
| title_full | Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography |
| title_fullStr | Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography |
| title_full_unstemmed | Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography |
| title_short | Preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography |
| title_sort | preoperative diagnosis and prediction of microvascular invasion in hepatocellularcarcinoma by ultrasound elastography |
| topic | Hepatocellular carcinoma Microvascular invasion Chronic hepatitis B Elastography |
| url | https://doi.org/10.1186/s12880-022-00819-0 |
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