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European Radiology

, Volume 27, Issue 11, pp 4498–4509 | Cite as

The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies

  • Isaac Shiri
  • Arman Rahmim
  • Pardis Ghaffarian
  • Parham Geramifar
  • Hamid AbdollahiEmail author
  • Ahmad Bitarafan-RajabiEmail author
Nuclear Medicine

Abstract

Objectives

The purpose of this study was to investigate the robustness of different PET/CT image radiomic features over a wide range of different reconstruction settings.

Methods

Phantom and patient studies were conducted, including two PET/CT scanners. Different reconstruction algorithms and parameters including number of sub-iterations, number of subsets, full width at half maximum (FWHM) of Gaussian filter, scan time per bed position and matrix size were studied. Lesions were delineated and one hundred radiomic features were extracted. All radiomics features were categorized based on coefficient of variation (COV).

Results

Forty seven percent features showed COV ≤ 5% and 10% of which showed COV > 20%. All geometry based, 44% and 41% of intensity based and texture based features were found as robust respectively. In regard to matrix size, 56% and 6% of all features were found non-robust (COV > 20%) and robust (COV ≤ 5%) respectively.

Conclusions

Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent, and different settings have different effects on different features. Radiomic features with low COV can be considered as good candidates for reproducible tumour quantification in multi-center studies.

Key Points

PET/CT image radiomics is a quantitative approach assessing different aspects of tumour uptake.

Radiomic features robustness is an important issue over different image reconstruction settings.

Variability and robustness of PET/CT image radiomics in advanced reconstruction settings is feature-dependent.

Robust radiomic features can be considered as good candidates for tumour quantification

Keywords

PET/CT Radiomics Robustness Reconstruction settings Quantification 

Abbreviations

PET

Positron Emission Tomography

CT

Computed Tomography

SUV

Standard Uptake Value

NSCLC

Non-Small Cell Lung Carcinoma

MRI

Magnetic Resonance Imaging

NEMA

National Electrical Manufacturers Association

FDG

Fluoro-Deoxy-Glucose

KBq

Kilo-Becquerel

MBq

Mega-Becquerel

LBR

Lesions to Background Ratio

GE

General Electric

OSEM

Ordered Subset Expectation Maximization

PSF

Point Spread Function

TOF

Time of Flight

FWHM

Full Width at Half Maximum

VOI

Volume of Interest

GLCM

Gray Level Co-occurrence Matrix

GLRLM

Gray-Level Run-Length Matrix

GLSZM

Gray-Level Size Zone Matrix

NGLD

Neighboring Gray Level Dependence

NGTDM

Neighborhood Gray-Tone Difference Matrix

TFC

Texture Feature Coding

TS

Texture Spectrum

COV

Coefficient Of Variation

ICC

Inter-Class Correlation

FBP

Filtered Back Projection

RECIST

Response Evaluation Criteria in Solid Tumours

PERCIST

PET Response Criteria in Solid Tumours

Notes

Acknowledgements

The authors sincerely thank the PET/CT Departments at Masih Daneshvari and Shariati Hospitals for their collaboration and facilities.

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Hamid Abdollahi, BS, MS, PhD.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Funding

This study has received funding by the Iran University of Medical Sciences, Tehran, Iran with the grant number 27870.

Statistics and biometry

All authors kindly provided statistical advice for this manuscript.

One of the authors has significant statistical expertise.

Ethical approval

Institutional Review Board approval was obtained.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Methodology

• prospective

• diagnostic or prognostic study/experimental

• multicenter study

Supplementary material

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Copyright information

© European Society of Radiology 2017

Authors and Affiliations

  • Isaac Shiri
    • 1
  • Arman Rahmim
    • 2
    • 3
  • Pardis Ghaffarian
    • 4
    • 5
  • Parham Geramifar
    • 6
  • Hamid Abdollahi
    • 1
    Email author
  • Ahmad Bitarafan-Rajabi
    • 1
    • 7
    Email author
  1. 1.Department of Medical Physics, School of MedicineIran University of Medical SciencesTehranIran
  2. 2.Department of RadiologyJohns Hopkins UniversityBaltimoreUSA
  3. 3.Department of Electrical and Computer EngineeringJohns Hopkins UniversityBaltimoreUSA
  4. 4.Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD)Shahid Beheshti University of Medical SciencesTehranIran
  5. 5.PET/CT and Cyclotron Center, Masih Daneshvari HospitalShahid Beheshti University of Medical SciencesTehranIran
  6. 6.Research Center for Nuclear Medicine, Shariati HospitalTehran University of Medical SciencesTehranIran
  7. 7.Department of Nuclear Medicine, Rajaei Cardiovascular, Medical and Research CenterIran University of Medical SciencesTehranIran

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