{"id":42388,"date":"2022-07-25T10:40:29","date_gmt":"2022-07-25T13:40:29","guid":{"rendered":"https:\/\/cbr.org.br\/?p=42388"},"modified":"2022-07-25T10:40:30","modified_gmt":"2022-07-25T13:40:30","slug":"radiomica-tem-se-firmado-como-uma-ferramenta-eficiente-declara-paulo-mazzoncini-no-sig-cite-do-cbr-assista","status":"publish","type":"post","link":"https:\/\/cbr.org.br\/en\/radiomica-tem-se-firmado-como-uma-ferramenta-eficiente-declara-paulo-mazzoncini-no-sig-cite-do-cbr-assista\/","title":{"rendered":"\u201cRadiomics has established itself as an efficient tool\u201d, declares Paulo Mazzoncini in the CBR SIG CITe; watch"},"content":{"rendered":"

Radiomics, the new frontier of medical imaging: this was the theme of the Special Interest Group<\/em> (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.<\/p>\n\n\n\n

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 Ribeir\u00e3o Preto (FMRP), University of S\u00e3o Paulo ( USP). The activity coordinator was Marcelo Costa Oliveira, with general coordination by Alexandra Monteiro.<\/p>\n\n\n\n

Paulo Mazzoncini explained that \u201cwhen 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\u201d.<\/p>\n\n\n\n

\u201cThe term radiomics radiomics<\/em>) 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\u201d, declared the professor.<\/p>\n\n\n\n

He pointed out that \u201cradiomics 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\u201d. 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".<\/p>\n\n\n\n

The lecture given by Paulo Mazzoncini de Azevedo Marques on Radiomics at CBR's SIG CITe, addressed topics such as:<\/strong><\/h3>\n\n\n\n

- Pattern Recognition
\u2013 Model for digital imaging\/Elements of image analysis
\u2013 Deep Learning Machine Learning (AI)
\u2013 Radiomics (definition\/model\/steps)
\u2013 Examples
\u2013 Difficulties\/Limitations<\/p>\n\n\n\n

After the presentation, the professor answered questions from the participants.<\/p>\n\n\n\n

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:<\/strong><\/p>\n\n\n\n

\"\"<\/a>
Click on the image to be directed<\/em><\/figcaption><\/figure>\n\n\n\n

Read too: Check out a note from the Ministry of Health with guidelines for rationalizing the use of iodinated contrast<\/a><\/strong><\/p>","protected":false},"excerpt":{"rendered":"

Radiomics, the new frontier of medical imaging: this was the GIS theme carried out by CBR.<\/p>","protected":false},"author":16,"featured_media":42389,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[491],"tags":[50,111,96,66,548,532],"class_list":["post-42388","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cbr-educa","tag-cbr","tag-diagnostico-por-imagem","tag-radiologia","tag-radiologista","tag-radiomica","tag-sig"],"acf":[],"_links":{"self":[{"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/posts\/42388","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/comments?post=42388"}],"version-history":[{"count":2,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/posts\/42388\/revisions"}],"predecessor-version":[{"id":42392,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/posts\/42388\/revisions\/42392"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/media\/42389"}],"wp:attachment":[{"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/media?parent=42388"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/categories?post=42388"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cbr.org.br\/en\/wp-json\/wp\/v2\/tags?post=42388"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}