| 程蛰承,翟建,洪奇,胡敏,叶文卫.基于定量CT分析人体组分预测肝细胞癌微血管浸润状态[J].中国医学影像技术,2025,41(6):943~946 |
| 基于定量CT分析人体组分预测肝细胞癌微血管浸润状态 |
| Quantitative CT analysis of human body components for predicting microvascular invasion status of hepatocellular carcinoma |
| 投稿时间：2025-01-24 修订日期：2025-05-22 |
| DOI：10.13929/j.issn.1003-3289.2025.06.020 |
| 中文关键词: 癌,肝细胞 微血管浸润 体层摄影术,X线计算机 |
| 英文关键词:carcinoma, hepatocellular microvascular invasion tomography, X-ray computed |
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| 中文摘要: |
| 目的 观察基于定量CT(QCT)分析人体组分预测肝细胞癌(HCC)微血管浸润(MVI)状态的价值。方法 回顾性纳入60例HCC,根据术后病理显示存在MVI与否将其分为阳性组(n=15)与阴性组(n=45)。比较组间QCT人体组分参数,包括骨密度(BMD)、皮下脂肪面积(SFA)、内脏脂肪面积(VFA)、总脂肪面积(TFA)和皮下/内脏脂肪面积比(SVR),以及椎后肌群脂肪面积(MFA)、肌肉面积(MA)及脂肪浸润程度(MFI),观察各参数预测HCC MVI状态的效能。结果 阳性组SFA、TFA、MFA及MFI均高于,而MA低于阴性组(P均＜0.05)。以SFA、VFA、TFA、MA、MFA及MFI预测HCC MVI状态的曲线下面积(AUC)为0.673~0.790(P均＜0.05);其中,TFA和MFI均为HCC MVI的独立危险因素(P均＜0.05),其AUC分别为0.790和0.759。结论 基于QCT分析人体组分有助于预测HCC MVI状态。 |
| 英文摘要: |
| Objective To observe the value of quantitative CT (QCT) analysis of human body components for predicting microvascular invasion (MVI) status of hepatocellular carcinoma (HCC). Methods Totally 60 HCC patients were retrospectively enrolled and divided into positive group (n=15) and negative group (n=45) based on postoperative pathology findings of MVI or not. Human body composition parameters, including bone mineral density (BMD), subcutaneous fat area (SFA), visceral fat area (VFA), total fat area (TFA) and subcutaneous/visceral fat area ratio (SVR), as well as muscle fat area (MFA), muscle area (MA) and muscle fat infiltration (MFI) of posterior vertebral muscle group based on QCT were compared between groups, and the efficacy of the above parameters for predicting MVI status of HCC was observed. Results SFA, TFA, MFA and MFI were all higher, while MA was lower in positive group than those in negative group (all P＜0.05). The area under the curve (AUC) of SFA, VFA, TFA, MA, MFA and MFI for predicting MVI status of HCC ranged from 0.673 to 0.790 (all P＜0.05). TFA and MFI were both independent risk factors of HCC MVI (both P＜0.05), with AUC of 0.790 and 0.759, respectively. Conclusion QCT analysis of human body components was helpful to predicting MVI status of HCC. |
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