LesionTracker: Extensible Open-Source Zero-Footprint Web Viewer for Cancer Imaging Research and Clinical Trials

Cancer Res. 2017 Nov 1;77(21):e119-e122. doi: 10.1158/0008-5472.CAN-17-0334.


Oncology clinical trials have become increasingly dependent upon image-based surrogate endpoints for determining patient eligibility and treatment efficacy. As therapeutics have evolved and multiplied in number, the tumor metrics criteria used to characterize therapeutic response have become progressively more varied and complex. The growing intricacies of image-based response evaluation, together with rising expectations for rapid and consistent results reporting, make it difficult for site radiologists to adequately address local and multicenter imaging demands. These challenges demonstrate the need for advanced cancer imaging informatics tools that can help ensure protocol-compliant image evaluation while simultaneously promoting reviewer efficiency. LesionTracker is a quantitative imaging package optimized for oncology clinical trial workflows. The goal of the project is to create an open source zero-footprint viewer for image analysis that is designed to be extensible as well as capable of being integrated into third-party systems for advanced imaging tools and clinical trials informatics platforms. Cancer Res; 77(21); e119-22. ©2017 AACR.

MeSH terms

  • Clinical Trials as Topic / methods
  • Computational Biology / methods*
  • Diagnostic Imaging / methods*
  • Humans
  • Internet
  • Neoplasms / diagnostic imaging*
  • Neoplasms / therapy*
  • Outcome Assessment, Health Care / methods
  • Reproducibility of Results
  • User-Computer Interface