Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)
Julian Manuel Michael Rogasch, Kuangyu Shi, David Kersting, Robert Seifert · Nuklearmedizin - NuclearMedicine · 2023 · Heft 06 · S. 361-369
Bibliografische Angaben
Zusammenfassung
Abstract Aim Despite a vast number of articles on radiomics and machine learning in positron emission tomography (PET) imaging, clinical applicability remains limited, partly owing to poor methodological quality. We therefore systematically investigated the methodology described in publications on radiomics and machine learning for PET-based outcome prediction. Methods A systematic search for original articles was run on PubMed. All articles were rated according to 17 criteria proposed by the authors. Criteria with >2 rating categories were binarized into “adequate” or “inadequate”. The association between the n…
