The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Characterization of PET/CT images using texture analysis: the past, the present… any future?
Open accessAbstract
After seminal papers over the period 2009 – 2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has received increasing attention in the last 4 years. Results are difficult to compare due to the heterogeneity of studies and lack of standardization. There are also numerous challenges to address. In this review we provide critical insights into the recent development of texture analysis for quantifying the heterogeneity in PET/CT images, identify issues and challenges, and offer recommendations for the use of texture analysis in clinical research. Numerous potentially confounding issues have been identified, related to the complex workflow for the calculation of textural features, and the dependency of features on various factors such as acquisition, image reconstruction, preprocessing, functional volume segmentation, and methods of establishing and quantifying correspondences with genomic and clinical metrics of interest. A lack of understanding of what the features may represent in terms of the underlying pathophysiological processes and the variability of technical implementation practices makes comparing results in the literature challenging, if not impossible. Since progress as a field requires pooling results, there is an urgent need for standardization and recommendations/guidelines to enable the field to move forward. We provide a list of correct formulae for usual features and recommendations regarding implementation. Studies on larger cohorts with robust statistical analysis and machine learning approaches are promising directions to evaluate the potential of this approach.
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Cites
Radiomics: Images Are More than Pictures, They Are Data
Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016) · Radiology · doi:10.1148/radiol.2015151169 · Cited by 8,421
Self-citationIntratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
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Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., et al. (2014) · Nature Communications · doi:10.1038/ncomms5006 · Cited by 5,132
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How to Make More Published Research True
Ioannidis, J. P. A. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001747 · Cited by 760
Decoding global gene expression programs in liver cancer by noninvasive imaging
Segal, E., Sirlin, C. B., Ooi, C., Adler, A. S., Gollub, J., Chen, X., Chan, B. K., Matcuk, G. R., Barry, C. T., Chang, H. Y., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1306 · Cited by 629
Cited by
Radiomics: the bridge between medical imaging and personalized medicine
Lambin, P., Leijenaar, R. T. H., Deist, T. M., Peerlings, J., de Jong, E. E. C., van Timmeren, J., Sanduleanu, S., Larue, R. T. H. M., Even, A. J. G., Jochems, A., et al. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.141 · Cited by 5,688
Zwanenburg, A., Vallières, M., Abdalah, M. A., Aerts, H. J. W. L., Andrearczyk, V., Apte, A., Ashrafinia, S., Bakas, S., Beukinga, R. J., Boellaard, R., et al. (2020) · Radiology · doi:10.1148/radiol.2020191145 · Cited by 4,177
Self-citationBerenguer, R., Pastor-Juan, M. D. R., Canales-Vázquez, J., Castro-García, M., Villas, M. V., Mansilla Legorburo, F., & Sabater, S. (2018) · Radiology · doi:10.1148/radiol.2018172361 · Cited by 622
Aide, N., Lasnon, C., Veit-Haibach, P., Sera, T., Sattler, B., & Boellaard, R. (2017) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-017-3740-2 · Cited by 344
Zwanenburg, A. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04391-8 · Cited by 306
Metadata
- Authors
- Hatt, M., Tixier, F., Pierce, L., Kinahan, P. E., Le Rest, C. C., & Visvikis, D.
- Venue
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2016-06-06
- Volume
- 44
- Issue
- 1
- Pages
- 151-165
- ISSN
- 1619-7070 (ISSN-L)
- 1619-7089
- OpenAlex
- W2409456704
- Cited by
- 475
- References
- 6
- FWCI
- 46.52
- Type
- journal article
- Language
- en
- Open access
- green
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- Hatt, M., Tixier, F., Pierce, L., Kinahan, P. E., Le Rest, C. C., & Visvikis, D. (2017). Characterization of PET/CT images using texture analysis: the past, the present… any future? European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-016-3427-0
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