Academic Journal
The Effect of Ultrasound Image Pre-Processing on Radiomics Feature Quality: A Study on Shoulder Ultrasound.
| Τίτλος: | The Effect of Ultrasound Image Pre-Processing on Radiomics Feature Quality: A Study on Shoulder Ultrasound. |
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| Συγγραφείς: | Triantafyllou M; Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece., Vassalou EE; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece., Goulianou AM; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece., Tosounidis TH; Department of Orthopaedic Surgery, Medical School, University of Crete, 71110, Heraklion, Crete, Greece., Marias K; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece.; Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Crete, Greece., Karantanas AH; Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece.; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece.; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece., Klontzas ME; Artificial Intelligence and Translational Imaging (ATI) Lab, Department of Radiology, School of Medicine, University of Crete, Voutes Campus, Heraklion, Greece. miklontzas@gmail.com.; Department of Medical Imaging, University Hospital of Heraklion, Heraklion, Crete, Greece. miklontzas@gmail.com.; Computational BioMedicine Laboratory, Institute of Computer Science, Foundation for Research and Technology (FORTH), Heraklion, Crete, Greece. miklontzas@gmail.com.; Division of Radiology, Department for Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden. miklontzas@gmail.com. |
| Πηγή: | Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec; Vol. 38 (6), pp. 4184-4195. Date of Electronic Publication: 2025 Feb 06. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [Cham, Switzerland] : Springer Nature, [2024]- |
| Ιατρικοί όροι (MeSH): | Shoulder*/diagnostic imaging , Calcinosis*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Tendinopathy*/diagnostic imaging, Ultrasonography/methods ; Rotator Cuff/diagnostic imaging ; Humans ; Reproducibility of Results ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; Adult ; Radiomics |
| Περίληψη: | Radiomics, the extraction of quantitative features from medical images, has shown great promise in enhancing diagnostic and prognostic models, particularly in CT and MRI. However, its application in ultrasound (US) imaging, especially in musculoskeletal (MSK) imaging, remains underexplored. The inherent variability of ultrasound, influenced by operator dependency and various imaging settings, presents significant challenges to the reproducibility of radiomic features. This study aims to identify whether commonly used image pre-processing methods can increase the reproducibility of radiomics features, increasing the quality of analysis. This is performed with shoulder calcific tendinopathy as a case study. Ultrasound images from 84 patients with rotator cuff calcifications were retrospectively analysed. Three pre-processing techniques-Histogram Equalization, Standard CLAHE, and Advanced CLAHE-were applied to adjust image quality. Manual segmentation of calcifications was performed, followed by the extraction of 849 radiomic features. The reproducibility of these features was assessed using the intraclass correlation coefficient (ICC), comparing results across pre-processing methods within the dataset. The Advanced CLAHE pre-processing method consistently yielded the highest ICC values, indicating superior reproducibility of radiomic features compared to other methods. Wavelet-transformed features, particularly in the GLCM and GLRLM subgroups, demonstrated robust reproducibility across all pre-processing techniques. Shape features, however, continued to show lower reproducibility. Advanced CLAHE pre-processing significantly enhances the reproducibility of radiomic features in ultrasound imaging of calcifications. This study underscores the importance of pre-processing in achieving reliable radiomic analyses, particularly in operator-dependent imaging modalities like ultrasound. (© 2025. The Author(s).) |
| Competing Interests: | Declarations. Ethics Approval: This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of University Hospital of Heraklion (Ref. No. 28107/05–12-2023). As the data collection was retrospective and anonymized, the requirement for patient consent was waived. Competing Interests: The authors declare no competing interests. |
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| Contributed Indexing: | Keywords: Image pre-processing; Radiomics; Reproducibility; Shoulder; Ultrasound |
| Entry Date(s): | Date Created: 20250206 Date Completed: 20251213 Latest Revision: 20251215 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC12701148 |
| DOI: | 10.1007/s10278-025-01421-w |
| PMID: | 39913024 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2948-2933 |
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| DOI: | 10.1007/s10278-025-01421-w |