BACKGROUND/OBJECTIVES: Intrahepatic cholangiocarcinoma (ICC) is subclassified into small and large duct types. Although these subclassifications may help determine the appropriate treatment strategy, subclassification diagnosis currently depends on postoperative pathological examinations. This study aimed to establish a nomogram to predict ICC subclassifications. METHODS: This study included 126 patients with ICC who underwent liver resection. The participants were divided into small and large duct-type ICC groups. A nomogram to predict large duct-type ICC was developed using four diagnostic imaging findings: rim-type enhancement in the early phase, an absence of tumor enhancement in the early phase, the presence of peripheral biliary dilatation due to tumor invasion, the presence of penetrating Glisson's vessels in the tumor, and two laboratory test results: serum gamma-glutamyl transpeptidase and carbohydrate antigen 19-9 levels. Nomogram performance was also assessed. Moreover, the bootstrap method and calibration plots were used to assess nomogram validity. RESULTS: Seventy and fifty-six patients were pathologically diagnosed with small and large duct-type ICCs, respectively. The area under the curve of the established nomogram was 0.93 and remained 0.91 after Harrell's bias correction. The sensitivity and specificity of the nomogram developed using the Youden index were higher than those of any of the characteristic imaging findings. Calibration plots demonstrated a strong association between the nomogram and the actual data. CONCLUSIONS: We developed a novel preoperative nomogram to predict large duct-type ICC. This nomogram can be clinically useful for predicting the subclassifications of ICCs and may contribute to the establishment of a more appropriate treatment strategy for ICC.
A Preoperative Diagnostic Nomogram to Predict Tumor Subclassifications of Intrahepatic Cholangiocarcinoma.
用于预测肝内胆管癌肿瘤亚型的术前诊断列线图
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作者:Yoshida Mizuki, Kinoshita Masahiko, Nonomiya Yuta, Kawai Ryota, Shintani Ayumi, Sato Yasunori, Kawaguchi Takahito, Tanaka Ryota, Kurihara Shigeaki, Nishio Kohei, Shinkawa Hiroji, Kimura Kenjiro, Yamamoto Akira, Kubo Shoji, Ishizawa Takeaki
| 期刊: | Cancers | 影响因子: | 4.400 |
| 时间: | 2025 | 起止号: | 2025 May 17; 17(10):1690 |
| doi: | 10.3390/cancers17101690 | 研究方向: | 肿瘤 |
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