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

  • Nuclear Medicine
  • Published:
European Radiology Aims and scope Submit manuscript

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

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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

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Acknowledgements

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

Author information

Authors and Affiliations

  1. Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Junction of Shahid Hemmat and Shahid Chamran Expressways, Tehran, Iran

    Isaac Shiri, Hamid Abdollahi & Ahmad Bitarafan-Rajabi

  2. Department of Radiology, Johns Hopkins University, Baltimore, MD, 21287, USA

    Arman Rahmim

  3. Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA

    Arman Rahmim

  4. Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Pardis Ghaffarian

  5. PET/CT and Cyclotron Center, Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

    Pardis Ghaffarian

  6. Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran

    Parham Geramifar

  7. Department of Nuclear Medicine, Rajaei Cardiovascular, Medical and Research Center, Iran University of Medical Sciences, Vali-Asr Avenue, Niyayesh Blvd, Tehran, Iran

    Ahmad Bitarafan-Rajabi

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  1. Isaac Shiri
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Corresponding authors

Correspondence to Hamid Abdollahi or Ahmad Bitarafan-Rajabi.

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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

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Shiri, I., Rahmim, A., Ghaffarian, P. et al. The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies. Eur Radiol 27, 4498–4509 (2017). https://doi.org/10.1007/s00330-017-4859-z

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  • DOI: https://doi.org/10.1007/s00330-017-4859-z

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