Multimodality Annotated Hepatocellular Carcinoma Data Set Including Pre- and Post-TACE With Imaging Segmentation

Authors

Ahmed W Moawad
Ali Morshid
Ahmed M Khalaf
Mohab M Elmohr
John D Hazle
David Fuentes
Mohamed Badawy
Ahmed O Kaseb
Manal Hassan
Armeen Mahvash
Janio Szklaruk
Aliyya Qayyum
Abdelrahman Abusaif
William C Bennett
Tracy S Nolan
Brittney Camp
Khaled M Elsayes

Publication Date

1-18-2023

Journal

Scientific Data

Abstract

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.

Keywords

Humans, Carcinoma, Hepatocellular, Chemoembolization, Therapeutic, Liver Neoplasms, Treatment Outcome, Liver cancer, Medical imaging, Oncogenesis

Comments

Supplementary Materials

Data Citations

PMID: 36653372