Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application—Part 1: From Methodology to Clinical Implementation

Faiq Shaikh*, Benjamin Franc, Erastus Allen, Evis Sala, Omer Awan, Kenneth Hendrata, Safwan Halabi, Sohaib Mohiuddin, Sana Malik, Dexter Hadley, Rasu Shrestha

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Enterprise imaging has channeled various technological innovations to the field of clinical radiology, ranging from advanced imaging equipment and postacquisition iterative reconstruction tools to image analysis and computer-aided detection tools. More recently, the advancements in the field of quantitative image analysis coupled with machine learning-based data analytics, classification, and integration have ushered us into the era of radiomics, which has tremendous potential in clinical decision support as well as drug discovery. There are important issues to consider to incorporate radiomics as a clinically applicable system and a commercially viable solution. In this two-part series, we offer insights into the development of the translational pipeline for radiomics from methodology to clinical implementation (Part 1) and from that to enterprise development (Part 2).

Original languageEnglish (US)
Pages (from-to)538-542
Number of pages5
JournalJournal of the American College of Radiology
Volume15
Issue number3
DOIs
StatePublished - Mar 2018
Externally publishedYes

Keywords

  • Radiomics
  • enterprise
  • medicine
  • precision
  • radiology
  • translational

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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