Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma
Abstract Background Appropriate preoperative identification of iCCA subtype is essential for personalized management, so the aim of this study is to investigate the role of MR imaging features in preoperatively differentiating the iCCA subtype. Methods Ninety-three patients with mass-forming intrahe...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-02-01
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| Series: | Cancer Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40644-023-00533-2 |
| _version_ | 1797863689960816640 |
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| author | Yuyao Xiao Changwu Zhou Xiaoyan Ni Peng Huang Fei Wu Chun Yang Mengsu Zeng |
| author_facet | Yuyao Xiao Changwu Zhou Xiaoyan Ni Peng Huang Fei Wu Chun Yang Mengsu Zeng |
| author_sort | Yuyao Xiao |
| collection | DOAJ |
| description | Abstract Background Appropriate preoperative identification of iCCA subtype is essential for personalized management, so the aim of this study is to investigate the role of MR imaging features in preoperatively differentiating the iCCA subtype. Methods Ninety-three patients with mass-forming intrahepatic cholangiocarcinoma (iCCA, 63 small duct type and 30 large duct type) were retrospectively enrolled according to the latest 5th WHO classification (mean age, males vs. females: 60.66 ± 10.53 vs. 61.88 ± 12.82, 50 men). Significant imaging features for differentiating large duct iCCA and small duct iCCA were identified using univariate and multivariate logistic regression analyses, and a regression-based predictive model was then generated. Furthermore, diagnostic performance parameters of single significant imaging features and the predictive model were obtained, and corresponding receiver operating characteristic (ROC) curves were subsequently presented. Results The univariate analysis showed that tumor in vein, arterial phase hypoenhancement, intrahepatic duct dilatation, lack of targetoid restriction and lack of targetoid appearance in T2 were predictors of large duct type iCCA. Arterial phase hypoenhancement, intrahepatic duct dilatation and lack of targetoid restriction were independent predictors for large duct type iCCA in multivariate analysis. The regression-based predictive model has achieved the best preoperative prediction performance in iCCA subcategorization so far. The area under the ROC curve of the regression-based predictive model was up to 0.91 (95% CI: 0.85, 0.98), and it was significantly higher than every single significant imaging feature. Conclusions Arterial phase hypoenhancement, intrahepatic duct dilatation and lack of targetoid restriction could be considered reliable MR imaging indicators of large duct type iCCA. MR imaging features can facilitate noninvasive prediction of iCCA subtype with satisfactory predictive performance. |
| first_indexed | 2024-04-09T22:39:35Z |
| format | Article |
| id | doaj.art-a2d79d93ac14421ab25c66b6b83359b7 |
| institution | Directory Open Access Journal |
| issn | 1470-7330 |
| language | English |
| last_indexed | 2024-04-09T22:39:35Z |
| publishDate | 2023-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Imaging |
| spelling | doaj.art-a2d79d93ac14421ab25c66b6b83359b72023-03-22T12:15:15ZengBMCCancer Imaging1470-73302023-02-012311910.1186/s40644-023-00533-2Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinomaYuyao Xiao0Changwu Zhou1Xiaoyan Ni2Peng Huang3Fei Wu4Chun Yang5Mengsu Zeng6Department of Radiology, Zhongshan Hospital, Fudan UniversityDepartment of Radiology, Zhongshan Hospital, Fudan UniversityDepartment of Radiology, Zhongshan Hospital, Fudan UniversityDepartment of Radiology, Zhongshan Hospital, Fudan UniversityDepartment of Radiology, Zhongshan Hospital, Fudan UniversityDepartment of Radiology, Zhongshan Hospital, Fudan UniversityDepartment of Radiology, Zhongshan Hospital, Fudan UniversityAbstract Background Appropriate preoperative identification of iCCA subtype is essential for personalized management, so the aim of this study is to investigate the role of MR imaging features in preoperatively differentiating the iCCA subtype. Methods Ninety-three patients with mass-forming intrahepatic cholangiocarcinoma (iCCA, 63 small duct type and 30 large duct type) were retrospectively enrolled according to the latest 5th WHO classification (mean age, males vs. females: 60.66 ± 10.53 vs. 61.88 ± 12.82, 50 men). Significant imaging features for differentiating large duct iCCA and small duct iCCA were identified using univariate and multivariate logistic regression analyses, and a regression-based predictive model was then generated. Furthermore, diagnostic performance parameters of single significant imaging features and the predictive model were obtained, and corresponding receiver operating characteristic (ROC) curves were subsequently presented. Results The univariate analysis showed that tumor in vein, arterial phase hypoenhancement, intrahepatic duct dilatation, lack of targetoid restriction and lack of targetoid appearance in T2 were predictors of large duct type iCCA. Arterial phase hypoenhancement, intrahepatic duct dilatation and lack of targetoid restriction were independent predictors for large duct type iCCA in multivariate analysis. The regression-based predictive model has achieved the best preoperative prediction performance in iCCA subcategorization so far. The area under the ROC curve of the regression-based predictive model was up to 0.91 (95% CI: 0.85, 0.98), and it was significantly higher than every single significant imaging feature. Conclusions Arterial phase hypoenhancement, intrahepatic duct dilatation and lack of targetoid restriction could be considered reliable MR imaging indicators of large duct type iCCA. MR imaging features can facilitate noninvasive prediction of iCCA subtype with satisfactory predictive performance.https://doi.org/10.1186/s40644-023-00533-2CholangiocarcinomaLiver neoplasmsMagnetic resonance imagingDiagnosis criteria |
| spellingShingle | Yuyao Xiao Changwu Zhou Xiaoyan Ni Peng Huang Fei Wu Chun Yang Mengsu Zeng Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma Cancer Imaging Cholangiocarcinoma Liver neoplasms Magnetic resonance imaging Diagnosis criteria |
| title | Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma |
| title_full | Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma |
| title_fullStr | Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma |
| title_full_unstemmed | Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma |
| title_short | Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma |
| title_sort | preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma |
| topic | Cholangiocarcinoma Liver neoplasms Magnetic resonance imaging Diagnosis criteria |
| url | https://doi.org/10.1186/s40644-023-00533-2 |
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