A Review of Imaging Methods for Prostate Cancer Detection
Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities—multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI–US fusion imaging, and positron emission tomography (PET) imaging—used...
Gespeichert in:
Veröffentlicht in: | Biomedical engineering and computational biology 2016-03, Vol.7 (Suppl 1), p.1-15 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 15 |
---|---|
container_issue | Suppl 1 |
container_start_page | 1 |
container_title | Biomedical engineering and computational biology |
container_volume | 7 |
creator | Sarkar, Saradwata Das, Sudipta |
description | Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities—multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI–US fusion imaging, and positron emission tomography (PET) imaging—used in the diagnosis and localization of PCa. Emphasis is laid on the biological and functional characteristics of tumors that rationalize the use of a specific imaging technique. Changes to anatomical architecture of tissue can be detected by anatomical grayscale US and T2-weighted MRI. Tumors are known to progress through angiogenesis—a fact exploited by Doppler and contrast-enhanced US and dynamic contrast-enhanced MRI. The increased cellular density of tumors is targeted by elastography and diffusion-weighted MRI. PET imaging employs several different radionuclides to target the metabolic and cellular activities during tumor growth. Results from studies using these various imaging techniques are discussed and compared. |
doi_str_mv | 10.4137/BECB.S34255 |
format | Article |
fullrecord | <record><control><sourceid>pubmedcentral</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4777886</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>pubmedcentral_primary_oai_pubmedcentral_nih_gov_4777886</sourcerecordid><originalsourceid>FETCH-pubmedcentral_primary_oai_pubmedcentral_nih_gov_47778863</originalsourceid><addsrcrecordid>eNqljL0KwjAYAIMgtmgnXyAv4E-T1rSLYKuigyDqHmL9WiM2KUms-PY6uDh7yw0Hh9AwnI6jkLJJtsqz8ZFGJI47yA9Dlo7ilBEPBdbeph9iRhJKesgjs_RTk8hH6QIfoJXwxLrE21pUUlV4B-6qLxaX2uC90dYJBzgXqgCDl-CgcFKrAeqW4m4h-LqP5uvVKd-Mmse5hksByhlx542RtTAvroXkv0XJK690yyPGWJLM6N-DN71PUwY</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>A Review of Imaging Methods for Prostate Cancer Detection</title><source>DOAJ Directory of Open Access Journals</source><source>Sage Journals GOLD Open Access 2024</source><source>PubMed Central Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Sarkar, Saradwata ; Das, Sudipta</creator><creatorcontrib>Sarkar, Saradwata ; Das, Sudipta</creatorcontrib><description>Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities—multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI–US fusion imaging, and positron emission tomography (PET) imaging—used in the diagnosis and localization of PCa. Emphasis is laid on the biological and functional characteristics of tumors that rationalize the use of a specific imaging technique. Changes to anatomical architecture of tissue can be detected by anatomical grayscale US and T2-weighted MRI. Tumors are known to progress through angiogenesis—a fact exploited by Doppler and contrast-enhanced US and dynamic contrast-enhanced MRI. The increased cellular density of tumors is targeted by elastography and diffusion-weighted MRI. PET imaging employs several different radionuclides to target the metabolic and cellular activities during tumor growth. Results from studies using these various imaging techniques are discussed and compared.</description><identifier>EISSN: 1179-5972</identifier><identifier>DOI: 10.4137/BECB.S34255</identifier><identifier>PMID: 26917984</identifier><identifier>PMID: 26966397</identifier><language>eng</language><publisher>Libertas Academica</publisher><subject>Expert Review</subject><ispartof>Biomedical engineering and computational biology, 2016-03, Vol.7 (Suppl 1), p.1-15</ispartof><rights>2016 the author(s), publisher and licensee Libertas Academica Ltd. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777886/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4777886/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,53770,53772</link.rule.ids></links><search><creatorcontrib>Sarkar, Saradwata</creatorcontrib><creatorcontrib>Das, Sudipta</creatorcontrib><title>A Review of Imaging Methods for Prostate Cancer Detection</title><title>Biomedical engineering and computational biology</title><description>Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities—multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI–US fusion imaging, and positron emission tomography (PET) imaging—used in the diagnosis and localization of PCa. Emphasis is laid on the biological and functional characteristics of tumors that rationalize the use of a specific imaging technique. Changes to anatomical architecture of tissue can be detected by anatomical grayscale US and T2-weighted MRI. Tumors are known to progress through angiogenesis—a fact exploited by Doppler and contrast-enhanced US and dynamic contrast-enhanced MRI. The increased cellular density of tumors is targeted by elastography and diffusion-weighted MRI. PET imaging employs several different radionuclides to target the metabolic and cellular activities during tumor growth. Results from studies using these various imaging techniques are discussed and compared.</description><subject>Expert Review</subject><issn>1179-5972</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqljL0KwjAYAIMgtmgnXyAv4E-T1rSLYKuigyDqHmL9WiM2KUms-PY6uDh7yw0Hh9AwnI6jkLJJtsqz8ZFGJI47yA9Dlo7ilBEPBdbeph9iRhJKesgjs_RTk8hH6QIfoJXwxLrE21pUUlV4B-6qLxaX2uC90dYJBzgXqgCDl-CgcFKrAeqW4m4h-LqP5uvVKd-Mmse5hksByhlx542RtTAvroXkv0XJK690yyPGWJLM6N-DN71PUwY</recordid><startdate>20160302</startdate><enddate>20160302</enddate><creator>Sarkar, Saradwata</creator><creator>Das, Sudipta</creator><general>Libertas Academica</general><scope>5PM</scope></search><sort><creationdate>20160302</creationdate><title>A Review of Imaging Methods for Prostate Cancer Detection</title><author>Sarkar, Saradwata ; Das, Sudipta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pubmedcentral_primary_oai_pubmedcentral_nih_gov_47778863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Expert Review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sarkar, Saradwata</creatorcontrib><creatorcontrib>Das, Sudipta</creatorcontrib><collection>PubMed Central (Full Participant titles)</collection><jtitle>Biomedical engineering and computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sarkar, Saradwata</au><au>Das, Sudipta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Review of Imaging Methods for Prostate Cancer Detection</atitle><jtitle>Biomedical engineering and computational biology</jtitle><date>2016-03-02</date><risdate>2016</risdate><volume>7</volume><issue>Suppl 1</issue><spage>1</spage><epage>15</epage><pages>1-15</pages><eissn>1179-5972</eissn><abstract>Imaging is playing an increasingly important role in the detection of prostate cancer (PCa). This review summarizes the key imaging modalities—multiparametric ultrasound (US), multiparametric magnetic resonance imaging (MRI), MRI–US fusion imaging, and positron emission tomography (PET) imaging—used in the diagnosis and localization of PCa. Emphasis is laid on the biological and functional characteristics of tumors that rationalize the use of a specific imaging technique. Changes to anatomical architecture of tissue can be detected by anatomical grayscale US and T2-weighted MRI. Tumors are known to progress through angiogenesis—a fact exploited by Doppler and contrast-enhanced US and dynamic contrast-enhanced MRI. The increased cellular density of tumors is targeted by elastography and diffusion-weighted MRI. PET imaging employs several different radionuclides to target the metabolic and cellular activities during tumor growth. Results from studies using these various imaging techniques are discussed and compared.</abstract><pub>Libertas Academica</pub><pmid>26917984</pmid><pmid>26966397</pmid><doi>10.4137/BECB.S34255</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | EISSN: 1179-5972 |
ispartof | Biomedical engineering and computational biology, 2016-03, Vol.7 (Suppl 1), p.1-15 |
issn | 1179-5972 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4777886 |
source | DOAJ Directory of Open Access Journals; Sage Journals GOLD Open Access 2024; PubMed Central Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Expert Review |
title | A Review of Imaging Methods for Prostate Cancer Detection |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T00%3A24%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-pubmedcentral&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Review%20of%20Imaging%20Methods%20for%20Prostate%20Cancer%20Detection&rft.jtitle=Biomedical%20engineering%20and%20computational%20biology&rft.au=Sarkar,%20Saradwata&rft.date=2016-03-02&rft.volume=7&rft.issue=Suppl%201&rft.spage=1&rft.epage=15&rft.pages=1-15&rft.eissn=1179-5972&rft_id=info:doi/10.4137/BECB.S34255&rft_dat=%3Cpubmedcentral%3Epubmedcentral_primary_oai_pubmedcentral_nih_gov_4777886%3C/pubmedcentral%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/26917984&rfr_iscdi=true |