Evaluation of Hepatic Tumor Response to Yttrium-90 Radioembolization Therapy Using Texture Signatures Generated from Contrast-enhanced CT Images

Rebekah H. Gensure, David J. Foran, Vincent M. Lee, Vyacheslav M. Gendel, Salma K. Jabbour, Darren R. Carpizo, John L. Nosher, Lin Yang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Rationale and Objectives: The aim of this study was to explore the use of texture features generated from liver computed tomographic (CT) datasets as potential image-based indicators of patient response to radioembolization (RE) with yttrium-90 (90Y) resin microspheres, an emerging locoregional therapy for advanced-stage liver cancer. Materials and Methods: Overall posttherapy survival and percent change in serologic tumor marker at 3 months posttherapy represent the primary clinical outcomes in this study. Thirty advanced-stage liver cancer cases (primary and metastatic) treated with RE over a 3-year period were included. Texture signatures for tumor regions, which were delineated to reveal boundaries with normal regions, were computed from pretreatment contrast-enhanced liver CT studies and evaluated for their ability to classify patient serologic response and survival. Results: A series of systematic leave-one-out cross-validation studies using soft-margin support vector machine (SVM) classifiers showed hepatic tumor texton and local binary pattern (LBP) signatures both achieve high accuracy (96%) in discriminating subjects in terms of their serologic response. The image-based indicators were also accurate in classifying subjects by survival status (80% and 93% accuracy for texton and LBP signatures, respectively). Conclusions: Hepatic texture signatures generated from tumor regions on pretreatment triphasic CT studies were highly accurate in differentiating among subjects in terms of serologic response and survival. These image-based computational markers show promise as potential predictive tools in candidate evaluation for locoregional therapy such as RE.

Original languageEnglish (US)
Pages (from-to)1201-1207
Number of pages7
JournalAcademic radiology
Volume19
Issue number10
DOIs
StatePublished - Oct 2012

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Keywords

  • CT
  • Liver cancer
  • Radioembolization
  • SIRT
  • Texture analysis

Fingerprint Dive into the research topics of 'Evaluation of Hepatic Tumor Response to Yttrium-90 Radioembolization Therapy Using Texture Signatures Generated from Contrast-enhanced CT Images'. Together they form a unique fingerprint.

Cite this