Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features
Abstract Background We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative pre...
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| Format: | Article |
| Language: | English |
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BMC
2022-10-01
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| Series: | BMC Medical Imaging |
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| Online Access: | https://doi.org/10.1186/s12880-022-00900-8 |
| _version_ | 1811194766115733504 |
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| author | Zhi-Wei Li A-Hong Ren Da-Wei Yang Hui Xu Jian Wei Chun-Wang Yuan Zhen-Chang Wang Zheng-Han Yang |
| author_facet | Zhi-Wei Li A-Hong Ren Da-Wei Yang Hui Xu Jian Wei Chun-Wang Yuan Zhen-Chang Wang Zheng-Han Yang |
| author_sort | Zhi-Wei Li |
| collection | DOAJ |
| description | Abstract Background We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative prediction model. Methods We retrospectively reviewed data of 111 patients with HCC who underwent magnetic resonance imaging (MRI) before the first TACE and underwent MRI or computed tomography between 30 and 60 days after TACE. We used the modified response evaluation criteria in solid tumors for evaluating the TACE response. We used univariate and multivariate logistic regression analyses to identify independent predictors based on MRI features and clinical indicators. Moreover, receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of the prediction model and each independent predictor. Results Among the 111 included patients, 85 were men (76.6%). Patient age was 31–86 years (average age, 61.08 ± 11.50 years). After the first treatment session, 56/111 (50.5%) patients showed an objective response (complete response + partial response), whereas the remaining showed non-response (stable disease + local progressive disease). In the univariate analysis, we identified irregular margins, number of nodules, and satellite nodules as predictors of early objective response. However, in the multivariate logistic regression analysis, irregular margins, number of nodules and pretreatment platelet were identified as the independent predictors of early objective response. A combined prediction model was then established, which factored in irregular margins, the number of nodules, and the pretreatment platelet count. This model showed good diagnostic performance (area under the ROC curve = 0.755), with the sensitivity, specificity, positive predictive value, and negative predictive value being 78.6%, 69.1%, 72.1%, and 76.0%, respectively. Conclusions Irregular margins, the number of nodules and the pretreatment platelet count are independent predictors of the early response of HCC to TACE. Our clinical combined model can provide a superior predictive power to a single indicator. |
| first_indexed | 2024-04-12T00:33:12Z |
| format | Article |
| id | doaj.art-71441d848ba54ef7ad1ff7388eef9e70 |
| institution | Directory Open Access Journal |
| issn | 1471-2342 |
| language | English |
| last_indexed | 2024-04-12T00:33:12Z |
| publishDate | 2022-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Imaging |
| spelling | doaj.art-71441d848ba54ef7ad1ff7388eef9e702022-12-22T03:55:17ZengBMCBMC Medical Imaging1471-23422022-10-0122111210.1186/s12880-022-00900-8Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI featuresZhi-Wei Li0A-Hong Ren1Da-Wei Yang2Hui Xu3Jian Wei4Chun-Wang Yuan5Zhen-Chang Wang6Zheng-Han Yang7Department of Radiology, Beijing Friendship Hospital, Capital Medical UniversityDepartment of Radiology, Beijing Friendship Hospital, Capital Medical UniversityDepartment of Radiology, Beijing Friendship Hospital, Capital Medical UniversityDepartment of Radiology, Beijing Friendship Hospital, Capital Medical UniversityDepartment of Interventional Radiography, Beijing Friendship Hospital, Capital Medical UniversityCenter of Interventional Oncology and Liver Diseases, Beijing Youan Hospital, Capital Medical UniversityDepartment of Radiology, Beijing Friendship Hospital, Capital Medical UniversityDepartment of Radiology, Beijing Friendship Hospital, Capital Medical UniversityAbstract Background We aimed to evaluate the value of using preoperative magnetic resonance imaging (MRI) features and clinical indicators to predict the early response of hepatocellular carcinoma (HCC) to transcatheter arterial chemoembolization (TACE). We also aimed to establish a preoperative prediction model. Methods We retrospectively reviewed data of 111 patients with HCC who underwent magnetic resonance imaging (MRI) before the first TACE and underwent MRI or computed tomography between 30 and 60 days after TACE. We used the modified response evaluation criteria in solid tumors for evaluating the TACE response. We used univariate and multivariate logistic regression analyses to identify independent predictors based on MRI features and clinical indicators. Moreover, receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of the prediction model and each independent predictor. Results Among the 111 included patients, 85 were men (76.6%). Patient age was 31–86 years (average age, 61.08 ± 11.50 years). After the first treatment session, 56/111 (50.5%) patients showed an objective response (complete response + partial response), whereas the remaining showed non-response (stable disease + local progressive disease). In the univariate analysis, we identified irregular margins, number of nodules, and satellite nodules as predictors of early objective response. However, in the multivariate logistic regression analysis, irregular margins, number of nodules and pretreatment platelet were identified as the independent predictors of early objective response. A combined prediction model was then established, which factored in irregular margins, the number of nodules, and the pretreatment platelet count. This model showed good diagnostic performance (area under the ROC curve = 0.755), with the sensitivity, specificity, positive predictive value, and negative predictive value being 78.6%, 69.1%, 72.1%, and 76.0%, respectively. Conclusions Irregular margins, the number of nodules and the pretreatment platelet count are independent predictors of the early response of HCC to TACE. Our clinical combined model can provide a superior predictive power to a single indicator.https://doi.org/10.1186/s12880-022-00900-8Hepatocellular carcinoma (HCC)Transarterial chemoembolization (TACE)Magnetic resonance imaging (MRI)Modified response evaluation criteria in solid tumors (mRECIST)Predictive factors |
| spellingShingle | Zhi-Wei Li A-Hong Ren Da-Wei Yang Hui Xu Jian Wei Chun-Wang Yuan Zhen-Chang Wang Zheng-Han Yang Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features BMC Medical Imaging Hepatocellular carcinoma (HCC) Transarterial chemoembolization (TACE) Magnetic resonance imaging (MRI) Modified response evaluation criteria in solid tumors (mRECIST) Predictive factors |
| title | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
| title_full | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
| title_fullStr | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
| title_full_unstemmed | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
| title_short | Preoperatively predicting early response of HCC to TACE using clinical indicators and MRI features |
| title_sort | preoperatively predicting early response of hcc to tace using clinical indicators and mri features |
| topic | Hepatocellular carcinoma (HCC) Transarterial chemoembolization (TACE) Magnetic resonance imaging (MRI) Modified response evaluation criteria in solid tumors (mRECIST) Predictive factors |
| url | https://doi.org/10.1186/s12880-022-00900-8 |
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