European Radiology

, Volume 30, Issue 1, pp 523–536 | Cite as

Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

  • Ji Eun Park
  • Donghyun Kim
  • Ho Sung KimEmail author
  • Seo Young Park
  • Jung Youn Kim
  • Se Jin Cho
  • Jae Ho Shin
  • Jeong Hoon Kim
Imaging Informatics and Artificial Intelligence



To evaluate radiomics studies according to radiomics quality score (RQS) and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) to provide objective measurement of radiomics research.

Materials and methods

PubMed and Embase were searched for studies published in high clinical imaging journals until December 2018 using the terms “radiomics” and “radiogenomics.” Studies were scored against the items in the RQS and TRIPOD guidelines. Subgroup analyses were performed for journal type (clinical vs. imaging), intended use (diagnostic vs. prognostic), and imaging modality (CT vs. MRI), and articles were compared using Fisher’s exact test and Mann-Whitney analysis.


Seventy-seven articles were included. The mean RQS score was 26.1% of the maximum (9.4 out of 36). The RQS was low in demonstration of clinical utility (19.5%), test-retest analysis (6.5%), prospective study (3.9%), and open science (3.9%). None of the studies conducted a phantom or cost-effectiveness analysis. The adherence rate for TRIPOD was 57.8% (mean) and was particularly low in reporting title (2.6%), stating study objective in abstract and introduction (7.8% and 16.9%), blind assessment of outcome (14.3%), sample size (6.5%), and missing data (11.7%) categories. Studies in clinical journals scored higher and more frequently adopted external validation than imaging journals.


The overall scientific quality and reporting of radiomics studies is insufficient. Scientific improvements need to be made to feature reproducibility, analysis of clinical utility, and open science categories. Reporting of study objectives, blind assessment, sample size, and missing data is deemed to be necessary.

Key Points

• The overall scientific quality and reporting of radiomics studies is insufficient.

• The RQS was low in demonstration of clinical utility, test-retest analysis, prospective study, and open science.

• Room for improvement was shown in TRIPOD in stating study objective in abstract and introduction, blind assessment of outcome, sample size, and missing data categories.


Neoplasm Machine learning Quality improvement Computed tomography Magnetic resonance imaging 



Radiomics quality score,


Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis



This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (grant number: NRF-2017R1A2A2A05001217 and grant number: NRF-2017R1C1B2007258).

Compliance with ethical standards


The scientific guarantor of this publication is Jeong Hoon Kim.

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.

Statistics and biometry

One of the authors has significant statistical expertise (Seo Young Park, 8 years of experience).

Informed consent

Written informed consent was not required because of the nature of our study, which was a study based on research articles.

Ethical approval

Institutional Review Board approval was not required because of the nature of our study, which was a study based on research articles.


• retrospective

• cross-sectional study

• performed at one institution

Supplementary material

330_2019_6360_MOESM1_ESM.docx (260 kb)
ESM 1 (DOCX 260 kb)


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Copyright information

© European Society of Radiology 2019

Authors and Affiliations

  1. 1.Department of Radiology and Research Institute of Radiology, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea
  2. 2.Department of RadiologyInje University Busan Paik HospitalBusanSouth Korea
  3. 3.Department of Clinical Epidemiology and Biostatistics, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea
  4. 4.Department of RadiologyKangbuk Samsung Medical CenterSeoulSouth Korea
  5. 5.St. Vincent Hospital, College of MedicineThe Catholic University of KoreaSuwonSouth Korea
  6. 6.Department of Neurosurgery, Asan Medical CenterUniversity of Ulsan College of MedicineSeoulSouth Korea

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