钆酸增强磁共振成像术前预测单发肝细胞癌患者的微血管侵犯:手术决定对肝切除范围的影响

IF 11.6 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Liver Cancer Pub Date : 2023-07-07 eCollection Date: 2024-04-01 DOI:10.1159/000531786
Na Reum Kim, Heejin Bae, Hyeo Seong Hwang, Dai Hoon Han, Kyung Sik Kim, Jin Sub Choi, Mi-Suk Park, Gi Hong Choi
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引用次数: 0

摘要

导言:微血管侵犯(MVI)是肝细胞癌(HCC)复发的最重要预后因素之一,但其在术前临床决策中的应用却很有限。本研究旨在确定 HCC MVI 的术前预测因素,并根据 MVI 的分层风险进一步评估不同类型和程度的肝切除术的肿瘤预后:一项单中心回顾性研究纳入了手术切除的单发HCC(≤5厘米)患者,这些患者在术前接受了钆醋酸增强磁共振成像(MRI)检查。两名放射科医生在没有临床、病理或预后信息的情况下对图像进行了审查。通过对病理 MVI 进行逻辑回归分析,确定了 MVI 的重要预测因素,并对患者进行了分层。在亚组分析中,采用 Kaplan-Meier 法和对数秩检验分析了分层患者的长期预后,并比较了解剖性切除和非解剖性切除或大部切除和小部切除的情况:共纳入 408 例患者,其中男性 318 例,女性 90 例,平均年龄 56.7 岁。肿瘤标志物水平升高(甲胎蛋白[α-FP]≥25 ng/mL和PIVKA-II≥40 mAU/mL)和三个MRI特征(肿瘤大小≥3 cm、肿瘤边缘不平滑和瘤周动脉强化)是MVI的独立预测因素。随着 MVI 风险从低(无预测因素)、中(1-2 个因素)到高风险(3-4 个因素)的增加,各组的无复发生存率和总生存率均显著下降(P = 0.001)。在 MVI 高危组中,与小肝切除术相比,大肝切除术患者的 5 年累积复发率明显降低(26.6% 对 59.8%,P = 0.027):结论:肿瘤标记物和磁共振成像特征可预测肝切除术后MVI的风险和预后。结论:肿瘤标记物和磁共振成像特征可预测肝切除术后的 MVI 风险和预后。MVI 风险高的患者在三组患者中预后最差,而大肝切除术可改善这些高风险患者的长期预后。
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Preoperative Prediction of Microvascular Invasion with Gadoxetic Acid-Enhanced Magnetic Resonance Imaging in Patients with Single Hepatocellular Carcinoma: The Implication of Surgical Decision on the Extent of Liver Resection.

Introduction: Microvascular invasion (MVI) is one of the most important prognostic factors for hepatocellular carcinoma (HCC) recurrence, but its application in preoperative clinical decisions is limited. This study aimed to identify preoperative predictive factors for MVI in HCC and further evaluate oncologic outcomes of different types and extents of hepatectomy according to stratified risk of MVI.

Methods: Patients with surgically resected single HCC (≤5 cm) who underwent preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI) were included in a single-center retrospective study. Two radiologists reviewed the images with no clinical, pathological, or prognostic information. Significant predictive factors for MVI were identified using logistic regression analysis against pathologic MVI and used to stratify patients. In the subgroup analysis, long-term outcomes of the stratified patients were analyzed using the Kaplan-Meier method with log-rank test and compared between anatomical and nonanatomical or major and minor resection.

Results: A total of 408 patients, 318 men and 90 women, with a mean age of 56.7 years were included. Elevated levels of tumor markers (alpha-fetoprotein [α-FP] ≥25 ng/mL and PIVKA-II ≥40 mAU/mL) and three MRI features (tumor size ≥3 cm, non-smooth tumor margin, and arterial peritumoral enhancement) were independent predictive factors for MVI. As the MVI risk increased from low (no predictive factor) and intermediate (1-2 factors) to high-risk (3-4 factors), recurrence-free and overall survival of each group significantly decreased (p = 0.001). In the high MVI risk group, 5-year cumulative recurrence rate was significantly lower in patients who underwent major compared to minor hepatectomy (26.6 vs. 59.8%, p = 0.027).

Conclusion: Tumor markers and MRI features can predict the risk of MVI and prognosis after hepatectomy. Patients with high MVI risk had the worst prognosis among the three groups, and major hepatectomy improved long-term outcomes in these high-risk patients.

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来源期刊
Liver Cancer
Liver Cancer Medicine-Oncology
CiteScore
20.80
自引率
7.20%
发文量
53
审稿时长
16 weeks
期刊介绍: Liver Cancer is a journal that serves the international community of researchers and clinicians by providing a platform for research results related to the causes, mechanisms, and therapy of liver cancer. It focuses on molecular carcinogenesis, prevention, surveillance, diagnosis, and treatment, including molecular targeted therapy. The journal publishes clinical and translational research in the field of liver cancer in both humans and experimental models. It publishes original and review articles and has an Impact Factor of 13.8. The journal is indexed and abstracted in various platforms including PubMed, PubMed Central, Web of Science, Science Citation Index, Science Citation Index Expanded, Google Scholar, DOAJ, Chemical Abstracts Service, Scopus, Embase, Pathway Studio, and WorldCat.
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