Type:
Educational Exhibit
Keywords:
Tissue characterisation, Neoplasia, Cancer, Computer Applications-Detection, diagnosis, Computer Applications-3D, CT-Quantitative, CT, Thorax, Lung
Authors:
A. Ottavianelli1, G. Cicchetti1, A. Farchione1, A. R. Larici1, G. Sica1, L. Calandriello2, V. Valentini1, L. Bonomo1, R. Manfredi1; 1Rome/IT, 2Roma/IT
DOI:
10.1594/ecr2018/C-2329
Conclusion
In the era of “personalized medicine”,
the challenge is to identify quantitative multimodal prognostic factors and models to recognize tumour and patient subpopulations that may or may not benefit from a specific treatment.
Radiomics is an expanding research field that non-invasively and widespread could be used in human tumour evaluation,
with promising results in the management of lung cancer.
However different technical aspects must be taken into account to ensure the quality of the data and to facilitate its use in clinical practice.
“Big data” are required in order to ensure the quality of the model [3].
Actually the main limit of the process is the variety existing in each step,
affecting the reliability,
reproducibility and comparability of Radiomics studies.
Some authors suggest the use of standardized protocols for image acquisition,
the creation of standards for quantitative features and the publication of supplementary materials describing the scientific process [3].