Nuclear Medicine and Molecular Imaging

, Volume 53, Issue 1, pp 14–29 | Cite as

Radiomics in Oncological PET/CT: a Methodological Overview

  • Seunggyun Ha
  • Hongyoon Choi
  • Jin Chul Paeng
  • Gi Jeong CheonEmail author


Radiomics is a medical imaging analysis approach based on computer-vision. Metabolic radiomics in particular analyses the spatial distribution patterns of molecular metabolism on PET images. Measuring intratumoral heterogeneity via image is one of the main targets of radiomics research, and it aims to build a image-based model for better patient management. The workflow of radiomics using texture analysis follows these steps: 1) imaging (image acquisition and reconstruction); 2) preprocessing (segmentation & quantization); 3) quantification (texture matrix design & texture feature extraction); and 4) analysis (statistics and/or machine learning). The parameters or conditions at each of these steps are effect on the results. In statistical testing or modeling, problems such as multiple comparisons, dependence on other variables, and high dimensionality of small sample size data should be considered. Standardization of methodology and harmonization of image quality are one of the most important challenges with radiomics methodology. Even though there are current issues in radiomics methodology, it is expected that radiomics will be clinically useful in personalized medicine for oncology.


Radiomics Texture analysis Intratumoral heterogeneity FDG PET/CT Oncology 



Absolute quantization


Area under curve of cumulative SUV-volume histogram


Cumulative SUV-volume histogram


Coefficient of variation


Fixed bin number


Fixed bin size


Fuzzy C-means


False-discovery rate




Fuzzy locally adaptive Bayesian


Gray-level co-occurrence matrix


Gray-level run-length matrix


Gray-level size zone matrix


Intensity frequency histogram


Intratumoral heterogeneity


Intensity volume histogram


Metabolic tumor volume


Neighborhood gray-tone difference matrix


Positron emission tomography/computed tomography


Partial volume correction


Relative quantization


Second angular moment


Spatial gray-level dependence matrix


Standardized uptake value


Total lesion glycolysis


Compliance with Ethical Standards

Conflict of Interest

Seunggyun Ha, Hongyoon Choi, Jin Chul Paeng, and Gi Jeong Cheon declare no conflict of interest.

Ethical Statement

This work does not contain any studies with human participants or animals performed by any of the authors. For this type of study, formal consent is not required.

Informed Consent

Not applicable.


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Copyright information

© Korean Society of Nuclear Medicine 2019

Authors and Affiliations

  1. 1.Radiation Medicine Research InstituteSeoul National University College of MedicineSeoulSouth Korea
  2. 2.Department of Nuclear MedicineSeoul National University HospitalSeoulSouth Korea
  3. 3.Cancer Research InstituteSeoul National University College of MedicineSeoulSouth Korea

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