2022-07-25 10:40:29 - 16

“Radiomics has established itself as an efficient tool”, declares Paulo Mazzoncini in the CBR SIG CITe; watch

Radiomics, the new frontier of medical imaging: this was the theme of the Special Interest Group (SIG) carried out online by the Innovation and Teleradiology Commission (CITe), of the Brazilian College of Radiology and Image Diagnosis (CBR), on the night of July 14. The video is available in its entirety on Workplace and on the official CBR YouTube channel.

The GIS featured a lecture by Professor Paulo Mazzoncini de Azevedo Marques, from the Center for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology and Clinical Oncology, Faculty of Medicine of Ribeirão Preto (FMRP), University of São Paulo ( USP). The activity coordinator was Marcelo Costa Oliveira, with general coordination by Alexandra Monteiro.

Paulo Mazzoncini explained that “when we talk about radiomics, we are talking about pattern recognition, which is the ability to detect arrangements of features or data that provide information about a given system or data set”.

“The term radiomics radiomics) can be understood as the extraction of quantitative data from medical images in comparison with genomic data (exome, transcriptome, etc.) and proteome to improve monitoring and therapeutic conduct”, declared the professor.

He pointed out that “radiomics has established itself as an efficient tool to provide diagnostic and prognostic support for precision medicine, based on quantitative biomarkers extracted from imaging tests produced in clinical routine”. He pointed out that "radiomics has the potential to provide biomarkers, based on images, that make it possible to aid in the detection of cancer, diagnosis and definition of prognosis, prediction of response to treatments and monitoring of the state of the disease".

The lecture given by Paulo Mazzoncini de Azevedo Marques on Radiomics at CBR's SIG CITe, addressed topics such as:

- Pattern Recognition
- Model for digital imaging/Elements of image analysis
- Deep Learning Machine Learning (AI)
- Radiomics (definition/model/steps)
- Examples
- Difficulties/Limitations

After the presentation, the professor answered questions from the participants.

The SIG CITe of the Brazilian College of Radiology and Imaging Diagnosis on Radiomics, the new frontier of medical imaging can be seen in full at the link below:

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