Departments of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Department of radiology, Mercy catholic medical center, Darby, PA, 19023, USA.
Sci Data. 2023 Jan 18;10(1):33. doi: 10.1038/s41597-023-01928-3.
Hepatocellular carcinoma (HCC) is the most common primary liver neoplasm, and its incidence has doubled over the past two decades owing to increasing risk factors. Despite surveillance, most HCC cases are diagnosed at advanced stages and can only be treated using transarterial chemo-embolization (TACE) or systemic therapy. TACE failure may occur with incidence reaching up to 60% of cases, leaving patients with a financial and emotional burden. Radiomics has emerged as a new tool capable of predicting tumor response to TACE from pre-procedural computed tomography (CT) studies. This data report defines the HCC-TACE data collection of confirmed HCC patients who underwent TACE and have pre- and post-procedure CT imaging studies and available treatment outcomes (time-to-progression and overall survival). Clinically curated segmentation of pre-procedural CT studies was done for the purpose of algorithm training for prediction and automatic liver tumor segmentation.
肝细胞癌（HCC）是最常见的原发性肝脏肿瘤，由于风险因素的增加，其发病率在过去二十年中翻了一番。尽管进行了监测，但大多数 HCC 病例在晚期被诊断出来，只能通过经动脉化疗栓塞（TACE）或系统治疗进行治疗。TACE 治疗失败的发生率高达 60%，这给患者带来了经济和情感上的负担。放射组学是一种新的工具，可以从术前计算机断层扫描（CT）研究中预测肿瘤对 TACE 的反应。本数据报告定义了接受 TACE 治疗且具有术前和术后 CT 成像研究以及可用治疗结果（无进展时间和总生存期）的确诊 HCC 患者的 HCC-TACE 数据收集。为了进行预测和自动肝脏肿瘤分割的算法训练，对术前 CT 研究进行了临床编辑分割。
