MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features.

ComBat harmonization radiomics reproducibility

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
22 Mar 2022
Historique:
received: 24 01 2022
revised: 16 03 2022
accepted: 18 03 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 13 4 2022
Statut: epublish

Résumé

The reproducibility of handcrafted radiomic features (HRFs) has been reported to be affected by variations in imaging parameters, which significantly affect the generalizability of developed signatures and translation to clinical practice. However, the collective effect of the variations in imaging parameters on the reproducibility of HRFs remains unclear, with no objective measure to assess it in the absence of reproducibility analysis. We assessed these effects of variations in a large number of scenarios and developed the first quantitative score to assess the reproducibility of CT-based HRFs without the need for phantom or reproducibility studies. We further assessed the potential of image resampling and ComBat harmonization for removing these effects. Our findings suggest a need for radiomics-specific harmonization methods. Our developed score should be considered as a first attempt to introduce comprehensive metrics to quantify the reproducibility of CT-based handcrafted radiomic features. More research is warranted to demonstrate its validity in clinical contexts and to further improve it, possibly by the incorporation of more realistic situations, which better reflect real patients' situations.

Identifiants

pubmed: 35406372
pii: cancers14071599
doi: 10.3390/cancers14071599
pmc: PMC8997100
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Abdalla Ibrahim (A)

The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6229 ER Maastricht, The Netherlands.
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands.
Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU de Liege, CRC In Vivo Imaging, University of Liège, 4000 Liege, Belgium.
Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, 52074 Aachen, Germany.

Bruno Barufaldi (B)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Turkey Refaee (T)

The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6229 ER Maastricht, The Netherlands.
Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, Jazan University, Jazan 45142, Saudi Arabia.

Telmo M Silva Filho (TM)

Department of Statistics, Federal University of Paraíba, João Pessoa 58051-900, Brazil.

Raymond J Acciavatti (RJ)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Zohaib Salahuddin (Z)

The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6229 ER Maastricht, The Netherlands.

Roland Hustinx (R)

Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU de Liege, CRC In Vivo Imaging, University of Liège, 4000 Liege, Belgium.

Felix M Mottaghy (FM)

Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands.
Department of Nuclear Medicine and Comprehensive Diagnostic Center Aachen (CDCA), University Hospital RWTH Aachen University, 52074 Aachen, Germany.

Andrew D A Maidment (ADA)

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Philippe Lambin (P)

The D-Lab, Department of Precision Medicine, GROW-School for Oncology, Maastricht University, 6229 ER Maastricht, The Netherlands.
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, 6229 HX Maastricht, The Netherlands.

Classifications MeSH