Loading…

CT Radiomics in Thoracic Oncology: Technique and Clinical Applications

Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomi...

Full description

Saved in:
Bibliographic Details
Published in:Nuclear medicine and molecular imaging 2018, 52(2), , pp.91-98
Main Authors: Lee, Geewon, Bak, So Hyeon, Lee, Ho Yun
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403
cites cdi_FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403
container_end_page 98
container_issue 2
container_start_page 91
container_title Nuclear medicine and molecular imaging
container_volume 52
creator Lee, Geewon
Bak, So Hyeon
Lee, Ho Yun
description Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology. Radiomics provides quantitative information about the morphology, texture, and intratumoral heterogeneity of the tumor itself as well as features related to pulmonary function. Hence, radiomics data can be used to build descriptive and predictive clinical models that relate imaging characteristics to tumor biology phenotypes. In this review, we describe the workflow of CT radiomics, types of CT radiomics, and its clinical application in thoracic oncology.
doi_str_mv 10.1007/s13139-017-0506-5
format article
fullrecord <record><control><sourceid>proquest_nrf_k</sourceid><recordid>TN_cdi_nrf_kci_oai_kci_go_kr_ARTI_4227636</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2024518017</sourcerecordid><originalsourceid>FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403</originalsourceid><addsrcrecordid>eNp1kU1rGzEQhkVJaUKaH9BLWeglPWyq0eeqh4Ix-YJAIGzPQqvV2krWkiPZgfz7ytnUbQqdywzMM6808yL0CfAZYCy_ZaBAVY1B1phjUfN36AgaoWrKGnKwryU7RCc53-MSlChM5Qd0SJQQhHN5hC7mbXVneh9X3ubKh6pdxmSst9VtsHGMi-fvVevsMvjHratM6Kv56IO3Zqxm6_VYio2PIX9E7wczZnfymo_Rz4vzdn5V39xeXs9nN7XlmG1qx3qrnALZiYE2PYCSlFAySGw6SWnDCOPYNQYaCRKDEMBIp7DlEjvRMUyP0ddJN6RBP1ivo_EveRH1Q9Kzu_ZaM0KkoKKwPyZ2ve1WrrcubJIZ9Tr5lUnPL5NvO8Evi86T5o2SREAROH0VSLFsnzd65bN142iCi9usCSaCAQjFC_rlH_Q-blMop9hRjENTfCoUTJRNMefkhv1nAOudqXoyVRdY70zVO-XPf2-xn_htYQHIBOTSCguX_jz9f9VfpKKpbg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2024518017</pqid></control><display><type>article</type><title>CT Radiomics in Thoracic Oncology: Technique and Clinical Applications</title><source>Open Access: PubMed Central</source><source>Springer Nature</source><creator>Lee, Geewon ; Bak, So Hyeon ; Lee, Ho Yun</creator><creatorcontrib>Lee, Geewon ; Bak, So Hyeon ; Lee, Ho Yun</creatorcontrib><description>Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology. Radiomics provides quantitative information about the morphology, texture, and intratumoral heterogeneity of the tumor itself as well as features related to pulmonary function. Hence, radiomics data can be used to build descriptive and predictive clinical models that relate imaging characteristics to tumor biology phenotypes. In this review, we describe the workflow of CT radiomics, types of CT radiomics, and its clinical application in thoracic oncology.</description><identifier>ISSN: 1869-3474</identifier><identifier>EISSN: 1869-3482</identifier><identifier>DOI: 10.1007/s13139-017-0506-5</identifier><identifier>PMID: 29662557</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biology ; Biomarkers ; Cardiology ; Feature extraction ; Imaging ; Medical imaging ; Medicine ; Medicine &amp; Public Health ; Nuclear Medicine ; Oncology ; Orthopedics ; Pulmonary functions ; Radiology ; Radiomics ; Review ; Tumors ; Workflow ; 방사선과학</subject><ispartof>Nuclear Medicine and Molecular Imaging , 2018, 52(2), , pp.91-98</ispartof><rights>Korean Society of Nuclear Medicine 2017</rights><rights>Copyright Springer Science &amp; Business Media 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403</citedby><cites>FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403</cites><orcidid>0000-0001-9960-5648</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897261/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5897261/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29662557$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002337390$$DAccess content in National Research Foundation of Korea (NRF)$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Geewon</creatorcontrib><creatorcontrib>Bak, So Hyeon</creatorcontrib><creatorcontrib>Lee, Ho Yun</creatorcontrib><title>CT Radiomics in Thoracic Oncology: Technique and Clinical Applications</title><title>Nuclear medicine and molecular imaging</title><addtitle>Nucl Med Mol Imaging</addtitle><addtitle>Nucl Med Mol Imaging</addtitle><description>Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology. Radiomics provides quantitative information about the morphology, texture, and intratumoral heterogeneity of the tumor itself as well as features related to pulmonary function. Hence, radiomics data can be used to build descriptive and predictive clinical models that relate imaging characteristics to tumor biology phenotypes. In this review, we describe the workflow of CT radiomics, types of CT radiomics, and its clinical application in thoracic oncology.</description><subject>Biology</subject><subject>Biomarkers</subject><subject>Cardiology</subject><subject>Feature extraction</subject><subject>Imaging</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Nuclear Medicine</subject><subject>Oncology</subject><subject>Orthopedics</subject><subject>Pulmonary functions</subject><subject>Radiology</subject><subject>Radiomics</subject><subject>Review</subject><subject>Tumors</subject><subject>Workflow</subject><subject>방사선과학</subject><issn>1869-3474</issn><issn>1869-3482</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kU1rGzEQhkVJaUKaH9BLWeglPWyq0eeqh4Ix-YJAIGzPQqvV2krWkiPZgfz7ytnUbQqdywzMM6808yL0CfAZYCy_ZaBAVY1B1phjUfN36AgaoWrKGnKwryU7RCc53-MSlChM5Qd0SJQQhHN5hC7mbXVneh9X3ubKh6pdxmSst9VtsHGMi-fvVevsMvjHratM6Kv56IO3Zqxm6_VYio2PIX9E7wczZnfymo_Rz4vzdn5V39xeXs9nN7XlmG1qx3qrnALZiYE2PYCSlFAySGw6SWnDCOPYNQYaCRKDEMBIp7DlEjvRMUyP0ddJN6RBP1ivo_EveRH1Q9Kzu_ZaM0KkoKKwPyZ2ve1WrrcubJIZ9Tr5lUnPL5NvO8Evi86T5o2SREAROH0VSLFsnzd65bN142iCi9usCSaCAQjFC_rlH_Q-blMop9hRjENTfCoUTJRNMefkhv1nAOudqXoyVRdY70zVO-XPf2-xn_htYQHIBOTSCguX_jz9f9VfpKKpbg</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Lee, Geewon</creator><creator>Bak, So Hyeon</creator><creator>Lee, Ho Yun</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>대한핵의학회</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>ACYCR</scope><orcidid>https://orcid.org/0000-0001-9960-5648</orcidid></search><sort><creationdate>20180401</creationdate><title>CT Radiomics in Thoracic Oncology: Technique and Clinical Applications</title><author>Lee, Geewon ; Bak, So Hyeon ; Lee, Ho Yun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biology</topic><topic>Biomarkers</topic><topic>Cardiology</topic><topic>Feature extraction</topic><topic>Imaging</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Nuclear Medicine</topic><topic>Oncology</topic><topic>Orthopedics</topic><topic>Pulmonary functions</topic><topic>Radiology</topic><topic>Radiomics</topic><topic>Review</topic><topic>Tumors</topic><topic>Workflow</topic><topic>방사선과학</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Geewon</creatorcontrib><creatorcontrib>Bak, So Hyeon</creatorcontrib><creatorcontrib>Lee, Ho Yun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Korean Citation Index</collection><jtitle>Nuclear medicine and molecular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Geewon</au><au>Bak, So Hyeon</au><au>Lee, Ho Yun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CT Radiomics in Thoracic Oncology: Technique and Clinical Applications</atitle><jtitle>Nuclear medicine and molecular imaging</jtitle><stitle>Nucl Med Mol Imaging</stitle><addtitle>Nucl Med Mol Imaging</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>52</volume><issue>2</issue><spage>91</spage><epage>98</epage><pages>91-98</pages><issn>1869-3474</issn><eissn>1869-3482</eissn><abstract>Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology. Radiomics provides quantitative information about the morphology, texture, and intratumoral heterogeneity of the tumor itself as well as features related to pulmonary function. Hence, radiomics data can be used to build descriptive and predictive clinical models that relate imaging characteristics to tumor biology phenotypes. In this review, we describe the workflow of CT radiomics, types of CT radiomics, and its clinical application in thoracic oncology.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>29662557</pmid><doi>10.1007/s13139-017-0506-5</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-9960-5648</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1869-3474
ispartof Nuclear Medicine and Molecular Imaging , 2018, 52(2), , pp.91-98
issn 1869-3474
1869-3482
language eng
recordid cdi_nrf_kci_oai_kci_go_kr_ARTI_4227636
source Open Access: PubMed Central; Springer Nature
subjects Biology
Biomarkers
Cardiology
Feature extraction
Imaging
Medical imaging
Medicine
Medicine & Public Health
Nuclear Medicine
Oncology
Orthopedics
Pulmonary functions
Radiology
Radiomics
Review
Tumors
Workflow
방사선과학
title CT Radiomics in Thoracic Oncology: Technique and Clinical Applications
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T03%3A11%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_nrf_k&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=CT%20Radiomics%20in%20Thoracic%20Oncology:%20Technique%20and%20Clinical%20Applications&rft.jtitle=Nuclear%20medicine%20and%20molecular%20imaging&rft.au=Lee,%20Geewon&rft.date=2018-04-01&rft.volume=52&rft.issue=2&rft.spage=91&rft.epage=98&rft.pages=91-98&rft.issn=1869-3474&rft.eissn=1869-3482&rft_id=info:doi/10.1007/s13139-017-0506-5&rft_dat=%3Cproquest_nrf_k%3E2024518017%3C/proquest_nrf_k%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c504t-e4dc9e917b6f38d11973232f70ab733842450e8a187170166142b90c570e6b403%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2024518017&rft_id=info:pmid/29662557&rfr_iscdi=true