{"title":"放射组学和人工智能用于PET成像分析。","authors":"Andrea d'Amico, Damian Borys, Izabela Gorczewska","doi":"10.5603/NMR.2020.0005","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, processing of the imaging signal derived from CT, MR or positron emission has proven to be able to predict outcome parameters in cancer patients. The processing techniques of the signal constitute the discipline of radiomics. The quantitative analysis of medical images outperform the information that can be obtained through traditional visual analysis. The recognition of neoplasm molecular and genetic characteristics in a non-invasive way, based on routine radiological examinations, potentially allow complete tumor profiling and subsequent treatment customization at practically zero costs. This process is further boosted with the availability of increased computing power and development of artificial intelligence approaches.</p>","PeriodicalId":44718,"journal":{"name":"NUCLEAR MEDICINE REVIEW","volume":"23 1","pages":"36-39"},"PeriodicalIF":0.6000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Radiomics and artificial Intelligence for PET imaging analysis.\",\"authors\":\"Andrea d'Amico, Damian Borys, Izabela Gorczewska\",\"doi\":\"10.5603/NMR.2020.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In recent years, processing of the imaging signal derived from CT, MR or positron emission has proven to be able to predict outcome parameters in cancer patients. The processing techniques of the signal constitute the discipline of radiomics. The quantitative analysis of medical images outperform the information that can be obtained through traditional visual analysis. The recognition of neoplasm molecular and genetic characteristics in a non-invasive way, based on routine radiological examinations, potentially allow complete tumor profiling and subsequent treatment customization at practically zero costs. This process is further boosted with the availability of increased computing power and development of artificial intelligence approaches.</p>\",\"PeriodicalId\":44718,\"journal\":{\"name\":\"NUCLEAR MEDICINE REVIEW\",\"volume\":\"23 1\",\"pages\":\"36-39\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NUCLEAR MEDICINE REVIEW\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5603/NMR.2020.0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NUCLEAR MEDICINE REVIEW","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5603/NMR.2020.0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Radiomics and artificial Intelligence for PET imaging analysis.
In recent years, processing of the imaging signal derived from CT, MR or positron emission has proven to be able to predict outcome parameters in cancer patients. The processing techniques of the signal constitute the discipline of radiomics. The quantitative analysis of medical images outperform the information that can be obtained through traditional visual analysis. The recognition of neoplasm molecular and genetic characteristics in a non-invasive way, based on routine radiological examinations, potentially allow complete tumor profiling and subsequent treatment customization at practically zero costs. This process is further boosted with the availability of increased computing power and development of artificial intelligence approaches.
期刊介绍:
Written in English, NMR is a biannual international periodical of scientific and educational profile. It is a journal of Bulgarian, Czech, Hungarian, Macedonian, Polish, Romanian, Russian, Slovak, Ukrainian and Yugoslav Societies of Nuclear Medicine. The periodical focuses on all nuclear medicine topics (diagnostics as well as therapy), and presents original experimental scientific papers, reviews, case studies, letters also news about symposia and congresses. NMR is indexed at Index Copernicus (7.41), Scopus, EMBASE, Index Medicus/Medline, Ministry of Education 2007 (4 pts.).