Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences
Radiomics is a growing field that can still be optimized. Feature selection method impacts radiomics models' performance more than ML algorithms. Best feature selection methods: RFE, LASSO, RF, and Boruta. ADC-derived radiomic features yield more robust models compared to T2w-derived radiomic features.
Authors
- Ali Devrim Karaosmanoğlu (ORCID: https://orcid.org/0000-0003-0027-9593)
- Mustafa Nasuh Ozmen (ORCID: https://orcid.org/0000-0002-9910-4808)
- Fırat Atak (ORCID: https://orcid.org/0000-0003-1474-1582)
- Rodolfo Márquez (ORCID: https://orcid.org/0000-0001-9777-2012)
- Muşturay Karçaaltıncaba (ORCID: https://orcid.org/0000-0002-3384-0909)
- Eugenia Mylona (ORCID: https://orcid.org/0000-0002-1275-6249)
- Stelios Sfakianakis (ORCID: https://orcid.org/0000-0001-8424-4157)
- Charalampos Kalantzopoulos (ORCID: https://orcid.org/0000-0002-6705-5896)
- Kostas Marias (ORCID: https://orcid.org/0000-0003-3783-5223)
- Anindo Saha (ORCID: https://orcid.org/0000-0002-5091-9862)
- Audrius Untanas
- Giovanni Maimone
- Jasper J. Twilt (ORCID: https://orcid.org/0000-0002-9673-6770)
- Varvara Kalokyri
- Silvia Navarro (ORCID: https://orcid.org/0000-0001-9921-9042)
- Simone Mazzetti (ORCID: https://orcid.org/0000-0001-6011-4040)
- Jerónimo Mora-Pascual (ORCID: https://orcid.org/0000-0002-6831-3279)
- C Saillant
- Nick Papanikolaou (ORCID: https://orcid.org/0000-0001-8546-1196)
- Simon Doran (ORCID: https://orcid.org/0000-0001-8569-9188)
- Gianluca Carloni (ORCID: https://orcid.org/0000-0002-5774-361X)
- Dimitrios I. Fotiadis (ORCID: https://orcid.org/0000-0002-7362-5082)
- Andrea Berti (ORCID: https://orcid.org/0000-0002-0089-6420)
- Jayashree Kalpathy–Cramer (ORCID: https://orcid.org/0000-0001-8906-9618)
- Dow‐Mu Koh (ORCID: https://orcid.org/0000-0001-7654-8011)
- Eva Pachetti (ORCID: https://orcid.org/0000-0002-1321-9285)
- Jurgen J. Fütterer (ORCID: https://orcid.org/0000-0001-6800-2879)
- Maria Antonietta Pascali (ORCID: https://orcid.org/0000-0001-7742-8126)
- Eleftherios Trivizakis (ORCID: https://orcid.org/0000-0003-3988-6809)
- Zoi Giavri
- Emanuele Neri (ORCID: https://orcid.org/0000-0001-7950-4559)
- Gloria Ribas (ORCID: https://orcid.org/0000-0001-6883-4130)
- Dimitrios I. Fotiadis (ORCID: https://orcid.org/0000-0002-5987-9350)
- Deniz Akata (ORCID: https://orcid.org/0000-0002-1318-0085)
- Vincenzo Mendola
- Gracián García‐Martí (ORCID: https://orcid.org/0000-0002-9850-2580)
- J. Correia (ORCID: https://orcid.org/0000-0003-0805-8680)
- Nikolaos S. Tachos (ORCID: https://orcid.org/0000-0002-8627-6352)
- Nan Nan (ORCID: https://orcid.org/0000-0002-6070-1066)
- Avtantil Dimitriadis (ORCID: https://orcid.org/0000-0002-3667-7051)
- Giulio Del Corso (ORCID: https://orcid.org/0000-0003-4604-2006)
- Theresa Henne
- Dimitrios I. Zaridis (ORCID: https://orcid.org/0000-0003-2549-3887)
- Joan Carles Vilanova (ORCID: https://orcid.org/0000-0003-2148-6751)
- Daniele Regge (ORCID: https://orcid.org/0000-0001-8267-5279)
- Ana Sofia Castro Verde (ORCID: https://orcid.org/0000-0001-6729-5681)
- Giacomo Aringhieri (ORCID: https://orcid.org/0000-0003-0842-5372)
- Ana Jiménez Pastor
- Luis Martí‐Bonmatí (ORCID: https://orcid.org/0000-0002-8234-010X)
- Ana Carolina Rodrigues (ORCID: https://orcid.org/0000-0002-3913-233X)
- Sara Colantonio (ORCID: https://orcid.org/0000-0003-2022-0804)
- Ana Ribeiro (ORCID: https://orcid.org/0000-0003-0345-3569)
- Danila Germanese (ORCID: https://orcid.org/0000-0002-7814-5280)
- Christopher P. Bridge (ORCID: https://orcid.org/0000-0002-2242-351X)
- Georgiou Georgios
- Henkjan Huisman
- Lorenzo Tumminello (ORCID: https://orcid.org/0000-0002-0059-6778)
- José Guilherme de Almeida (ORCID: https://orcid.org/0000-0002-1887-0157)
- Grigorios Kalliatakis (ORCID: https://orcid.org/0000-0002-2194-7709)
- Maarten de Rooij (ORCID: https://orcid.org/0000-0001-7257-7907)
- Walter Hernández (ORCID: https://orcid.org/0000-0002-0253-8117)
- Manolis Tsiknakis (ORCID: https://orcid.org/0000-0001-8454-1450)
- Valentina Giannini (ORCID: https://orcid.org/0000-0001-5052-8231)
- Sharon Vit
- Nuno M. Rodrigues (ORCID: https://orcid.org/0000-0001-5312-8276)
- Jurgita Ušinskienė (ORCID: https://orcid.org/0000-0002-9741-2065)
- Giovanni Cappello (ORCID: https://orcid.org/0000-0002-9342-0762)
- Rūta Briedienė
- Tiaan Jacobs
- Robby Emsley (ORCID: https://orcid.org/0000-0002-6564-5016)
- Vincenzo Napolitano
- Leonor Cerdá-Alberich (ORCID: https://orcid.org/0000-0002-5567-4278)
- Miguel Chambel
- Manuel Marfil
- Kristina Slidevska
- Katsaros Vasilis
- Christos Pollalis
- Dimitrios Agraniotis
Institutions
- University of Pisa (IT)
- Champalimaud Foundation (PT)
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT)
- Royal Marsden NHS Foundation Trust (GB)
- Institute of Cancer Research (GB)
- Radboud University Nijmegen (NL)
- National Technical University of Athens (GR)
- University of Ioannina (GR)
- Mediterranean University (ME)
- Hospital Universitari i Politècnic La Fe (ES)
- Massachusetts General Hospital (US)
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- FORTH Institute of Molecular Biology and Biotechnology (GR)
- Institut d'Investigació Biomèdica de Girona (ES)
- Hospital Quirónsalud Barcelona (ES)
- Instituto de Tecnología Química (ES)
- Candiolo Cancer Institute (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- National Cancer Institute (LT)
- Instituto de Investigación Sanitaria La Fe (ES)
- Hacettepe University (TR)
- Foundation for Research and Technology Hellas (GR)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1186/s13244-024-01783-9
- Citations
- 26
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 10.51
Funders
- European Commission
- Horizon 2020 Framework Programme