5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Systematic review with radiomics quality score of cholangiocarcinoma: an EuSoMII Radiomics Auditing Group Initiative

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Objectives

          To systematically review current research applications of radiomics in patients with cholangiocarcinoma and to assess the quality of CT and MRI radiomics studies.

          Methods

          A systematic search was conducted on PubMed/Medline, Web of Science, and Scopus databases to identify original studies assessing radiomics of cholangiocarcinoma on CT and/or MRI. Three readers with different experience levels independently assessed quality of the studies using the radiomics quality score (RQS). Subgroup analyses were performed according to journal type, year of publication, quartile and impact factor (from the Journal Citation Report database), type of cholangiocarcinoma, imaging modality, and number of patients.

          Results

          A total of 38 original studies including 6242 patients (median 134 patients) were selected. The median RQS was 9 (corresponding to 25.0% of the total RQS; IQR 1–13) for reader 1, 8 (22.2%, IQR 3–12) for reader 2, and 10 (27.8%; IQR 5–14) for reader 3. The inter-reader agreement was good with an ICC of 0.75 (95% CI 0.62–0.85) for the total RQS. All studies were retrospective and none of them had phantom assessment, imaging at multiple time points, nor performed cost-effectiveness analysis. The RQS was significantly higher in studies published in journals with impact factor > 4 (median 11 vs. 4, p = 0.048 for reader 1) and including more than 100 patients (median 11.5 vs. 0.5, p < 0.001 for reader 1).

          Conclusions

          Quality of radiomics studies on cholangiocarcinoma is insufficient based on the radiomics quality score. Future research should consider prospective studies with a standardized methodology, validation in multi-institutional external cohorts, and open science data.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13244-023-01365-1.

          Key points

          • The quality of current radiomics studies on cholangiocarcinoma is insufficient, with a median radiomics quality score of 8–10, corresponding to 22–28% of the ideal quality score.

          • None of the current studies conducted phantom assessment, imaging at multiple time points, prospective registration in a trial database, nor cost-effectiveness analysis.

          • The inter-reader agreement of the radiomics quality score is good (ICC of 0.75; 95% CI 0.62–0.85) among readers with different levels of experience.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13244-023-01365-1.

          Related collections

          Most cited references63

          • Record: found
          • Abstract: found
          • Article: not found

          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

          David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Radiomics: Images Are More than Pictures, They Are Data

            This report describes the process of radiomics, its challenges, and its potential power to facilitate better clinical decision making, particularly in the care of patients with cancer.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Radiomics: the bridge between medical imaging and personalized medicine

              Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in cancer research. Radiomic analysis exploits sophisticated image analysis tools and the rapid development and validation of medical imaging data that uses image-based signatures for precision diagnosis and treatment, providing a powerful tool in modern medicine. Herein, we describe the process of radiomics, its pitfalls, challenges, opportunities, and its capacity to improve clinical decision making, emphasizing the utility for patients with cancer. Currently, the field of radiomics lacks standardized evaluation of both the scientific integrity and the clinical relevance of the numerous published radiomics investigations resulting from the rapid growth of this area. Rigorous evaluation criteria and reporting guidelines need to be established in order for radiomics to mature as a discipline. Herein, we provide guidance for investigations to meet this urgent need in the field of radiomics.
                Bookmark

                Author and article information

                Contributors
                rob.cannella89@gmail.com
                Journal
                Insights Imaging
                Insights Imaging
                Insights into Imaging
                Springer Vienna (Vienna )
                1869-4101
                1 February 2023
                1 February 2023
                December 2023
                : 14
                : 21
                Affiliations
                [1 ]Section of Radiology - Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University Hospital “Paolo Giaccone”, Via del Vespro 129, 90127 Palermo, Italy
                [2 ]GRID grid.10776.37, ISNI 0000 0004 1762 5517, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), , University of Palermo, ; Via del Vespro, 129, 90127 Palermo, Italy
                [3 ]GRID grid.411474.3, ISNI 0000 0004 1760 2630, Department of Radiology, , University Hospital of Padova, ; Via Nicolò Giustiniani 2, 35128 Padua, Italy
                [4 ]GRID grid.412481.a, ISNI 0000 0004 0576 5678, Department of Medical Imaging, , University Hospital of Heraklion, ; 71110 Voutes, Crete, Greece
                [5 ]GRID grid.8127.c, ISNI 0000 0004 0576 3437, Department of Radiology, School of Medicine, , University of Crete, ; 71003 Heraklion, Crete, Greece
                [6 ]GRID grid.4834.b, ISNI 0000 0004 0635 685X, Computational Biomedicine Laboratory, Institute of Computer Science, , Foundation for Research and Technology, ; Vassilika Vouton, 70013 Crete, Greece
                [7 ]GRID grid.4691.a, ISNI 0000 0001 0790 385X, Department of Advanced Biomedical Sciences, , University of Naples “Federico II”, ; Via Sergio Pansini 5, 80131 Naples, Italy
                [8 ]GRID grid.415738.c, ISNI 0000 0000 9216 2496, Radiology Department Research Institute of Children’s Oncology and Hematology, , FSBI “National Medical Research Center of Oncology n.a. N.N. Blokhin” of Ministry of Health of RF, ; Kashirskoye Highway 24, Moscow, Russia
                [9 ]IRA-Labs, Medical Department, Skolkovo, Bolshoi Boulevard, 30, Building 1, Moscow, Russia
                [10 ]GRID grid.6190.e, ISNI 0000 0000 8580 3777, Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, , University of Cologne, ; Kerpener Str. 62, 50937 Cologne, Germany
                [11 ]GRID grid.411088.4, ISNI 0000 0004 0578 8220, Department of Radiology, , University Hospital Frankfurt, ; Theodor-Stern-Kai 7, 60590 Frankfurt, Germany
                [12 ]GRID grid.11780.3f, ISNI 0000 0004 1937 0335, Department of Medicine, Surgery, and Dentistry, , University of Salerno, ; Via Salvador Allende 43, 84081 Baronissi, SA Italy
                [13 ]GRID grid.4691.a, ISNI 0000 0001 0790 385X, Augmented Reality for Health Monitoring Laboratory (ARHeMLab), Department of Electrical Engineering and Information Technology, , University of Naples “Federico II”, ; Via Sergio Pansini 5, 80131 Naples, Italy
                Author information
                http://orcid.org/0000-0002-3808-0785
                Article
                1365
                10.1186/s13244-023-01365-1
                9889586
                36720726
                e9c7c2f6-32ce-449d-8cde-7815b98a3dfb
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 June 2022
                : 24 December 2022
                Categories
                Original Article
                Custom metadata
                © The Author(s) 2023

                Radiology & Imaging
                systematic review,cholangiocarcinoma,liver,quality improvement
                Radiology & Imaging
                systematic review, cholangiocarcinoma, liver, quality improvement

                Comments

                Comment on this article