Multimodality annotated hepatocellular carcinoma data set including pre- and post-TACE with imaging segmentation

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

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Article number33
JournalScientific Data
Volume10
Issue number1
DOIs
StatePublished - Dec 2023

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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