Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy
Summary A predictive technique in the management of patients with cancer could improve the therapeutic index by allowing better individualisation of treatment. The standard risk factors that are currently used do not adequately account for the unpredictable and substantial variation seen in the trea...
Gespeichert in:
Veröffentlicht in: | The lancet oncology 2007, Vol.8 (1), p.63-74 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 74 |
---|---|
container_issue | 1 |
container_start_page | 63 |
container_title | The lancet oncology |
container_volume | 8 |
creator | Zahra, Mark A, Dr Hollingsworth, Kieren G, PhD Sala, Evis, FRCR Lomas, David J, FRCR Tan, Li T, FRCR |
description | Summary A predictive technique in the management of patients with cancer could improve the therapeutic index by allowing better individualisation of treatment. The standard risk factors that are currently used do not adequately account for the unpredictable and substantial variation seen in the treatment response of patients with a similar risk profile. Dynamic contrast-enhanced (DCE) MRI is a non-invasive technique that can provide anatomical and physiological information on the tumour. The DCE-MRI data reflects the tumour microenvironment variables that are known to influence radiation response. The aim of this review is to describe the potential clinical application of DCE-MRI as a predictor of radiation response. We have reviewed the literature and identified 29 studies (total of 1194 patients) that correlate DCE-MRI with histopathological or clinical outcome data relevant to radiotherapy. |
doi_str_mv | 10.1016/S1470-2045(06)71012-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_954630230</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1470204506710129</els_id><sourcerecordid>954630230</sourcerecordid><originalsourceid>FETCH-LOGICAL-c529t-47ce3ac3769756944db3619a03b903ab91f2b8a4ed861b272e6f4d4496cbf0403</originalsourceid><addsrcrecordid>eNqFkVuL1TAUhYsozkV_ghJ8cPShunNp2rwoMt4GRga8PIc03WUytk0nSYXz701PDwrzoE87bL69wlqrKJ5QeEWBytffqKihZCCqFyBf1nnHSnWvOM5rUVaiae7v3xtyVJzEeANAM1c9LI7yVLKi7Li4er-bzOgssX5KwcRU4nRtJosd-fL1gphIDJkDds4mH4jvSVpGvwQSMM5-ikiSJ8F0zqdrDGbePSoe9GaI-PgwT4sfHz98P_9cXl59ujh_d1naiqlUitoiN5bXUtWVVEJ0LZdUGeCtAm5aRXvWNkZg10jaspqh7EUnhJK27UEAPy3ONt05-NsFY9KjixaHwUzol6hVJSQHxlfy-T9J2XCV01jBZ3fAm-x0yi40A1CqlpRnqNogG3yMAXs9BzeasNMU9FqM3hej19Q1SL0vRqt89_QgvrQjdn-vDk1k4O0GYE7tl8Ogo3W4FuEC2qQ77_77xZs7CnZwk7Nm-Ik7jH_MUB2Zhk1k1QC5V1D8N_wgsDE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>200997613</pqid></control><display><type>article</type><title>Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><source>ProQuest Central UK/Ireland</source><creator>Zahra, Mark A, Dr ; Hollingsworth, Kieren G, PhD ; Sala, Evis, FRCR ; Lomas, David J, FRCR ; Tan, Li T, FRCR</creator><creatorcontrib>Zahra, Mark A, Dr ; Hollingsworth, Kieren G, PhD ; Sala, Evis, FRCR ; Lomas, David J, FRCR ; Tan, Li T, FRCR</creatorcontrib><description>Summary A predictive technique in the management of patients with cancer could improve the therapeutic index by allowing better individualisation of treatment. The standard risk factors that are currently used do not adequately account for the unpredictable and substantial variation seen in the treatment response of patients with a similar risk profile. Dynamic contrast-enhanced (DCE) MRI is a non-invasive technique that can provide anatomical and physiological information on the tumour. The DCE-MRI data reflects the tumour microenvironment variables that are known to influence radiation response. The aim of this review is to describe the potential clinical application of DCE-MRI as a predictor of radiation response. We have reviewed the literature and identified 29 studies (total of 1194 patients) that correlate DCE-MRI with histopathological or clinical outcome data relevant to radiotherapy.</description><identifier>ISSN: 1470-2045</identifier><identifier>EISSN: 1474-5488</identifier><identifier>DOI: 10.1016/S1470-2045(06)71012-9</identifier><identifier>PMID: 17196512</identifier><identifier>CODEN: LANCAO</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Cancer ; Cell death ; Chemotherapy ; Contrast Media ; Data processing ; Hematology, Oncology and Palliative Medicine ; Humans ; Hypoxia ; Magnetic Resonance Imaging ; Medical prognosis ; Microenvironments ; Neoplasms - diagnostic imaging ; Neoplasms - pathology ; Neoplasms - radiotherapy ; Patients ; Permeability ; Radiation ; Radiation therapy ; Radiotherapy ; Reviews ; Risk factors ; Therapeutic applications ; Tumors ; Ultrasonography</subject><ispartof>The lancet oncology, 2007, Vol.8 (1), p.63-74</ispartof><rights>Elsevier Ltd</rights><rights>2007 Elsevier Ltd</rights><rights>Copyright Elsevier Limited Jan 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c529t-47ce3ac3769756944db3619a03b903ab91f2b8a4ed861b272e6f4d4496cbf0403</citedby><cites>FETCH-LOGICAL-c529t-47ce3ac3769756944db3619a03b903ab91f2b8a4ed861b272e6f4d4496cbf0403</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/200997613?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17196512$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zahra, Mark A, Dr</creatorcontrib><creatorcontrib>Hollingsworth, Kieren G, PhD</creatorcontrib><creatorcontrib>Sala, Evis, FRCR</creatorcontrib><creatorcontrib>Lomas, David J, FRCR</creatorcontrib><creatorcontrib>Tan, Li T, FRCR</creatorcontrib><title>Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy</title><title>The lancet oncology</title><addtitle>Lancet Oncol</addtitle><description>Summary A predictive technique in the management of patients with cancer could improve the therapeutic index by allowing better individualisation of treatment. The standard risk factors that are currently used do not adequately account for the unpredictable and substantial variation seen in the treatment response of patients with a similar risk profile. Dynamic contrast-enhanced (DCE) MRI is a non-invasive technique that can provide anatomical and physiological information on the tumour. The DCE-MRI data reflects the tumour microenvironment variables that are known to influence radiation response. The aim of this review is to describe the potential clinical application of DCE-MRI as a predictor of radiation response. We have reviewed the literature and identified 29 studies (total of 1194 patients) that correlate DCE-MRI with histopathological or clinical outcome data relevant to radiotherapy.</description><subject>Cancer</subject><subject>Cell death</subject><subject>Chemotherapy</subject><subject>Contrast Media</subject><subject>Data processing</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Hypoxia</subject><subject>Magnetic Resonance Imaging</subject><subject>Medical prognosis</subject><subject>Microenvironments</subject><subject>Neoplasms - diagnostic imaging</subject><subject>Neoplasms - pathology</subject><subject>Neoplasms - radiotherapy</subject><subject>Patients</subject><subject>Permeability</subject><subject>Radiation</subject><subject>Radiation therapy</subject><subject>Radiotherapy</subject><subject>Reviews</subject><subject>Risk factors</subject><subject>Therapeutic applications</subject><subject>Tumors</subject><subject>Ultrasonography</subject><issn>1470-2045</issn><issn>1474-5488</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkVuL1TAUhYsozkV_ghJ8cPShunNp2rwoMt4GRga8PIc03WUytk0nSYXz701PDwrzoE87bL69wlqrKJ5QeEWBytffqKihZCCqFyBf1nnHSnWvOM5rUVaiae7v3xtyVJzEeANAM1c9LI7yVLKi7Li4er-bzOgssX5KwcRU4nRtJosd-fL1gphIDJkDds4mH4jvSVpGvwQSMM5-ikiSJ8F0zqdrDGbePSoe9GaI-PgwT4sfHz98P_9cXl59ujh_d1naiqlUitoiN5bXUtWVVEJ0LZdUGeCtAm5aRXvWNkZg10jaspqh7EUnhJK27UEAPy3ONt05-NsFY9KjixaHwUzol6hVJSQHxlfy-T9J2XCV01jBZ3fAm-x0yi40A1CqlpRnqNogG3yMAXs9BzeasNMU9FqM3hej19Q1SL0vRqt89_QgvrQjdn-vDk1k4O0GYE7tl8Ogo3W4FuEC2qQ77_77xZs7CnZwk7Nm-Ik7jH_MUB2Zhk1k1QC5V1D8N_wgsDE</recordid><startdate>2007</startdate><enddate>2007</enddate><creator>Zahra, Mark A, Dr</creator><creator>Hollingsworth, Kieren G, PhD</creator><creator>Sala, Evis, FRCR</creator><creator>Lomas, David J, FRCR</creator><creator>Tan, Li T, FRCR</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0TZ</scope><scope>3V.</scope><scope>7RV</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8C2</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7U7</scope><scope>C1K</scope></search><sort><creationdate>2007</creationdate><title>Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy</title><author>Zahra, Mark A, Dr ; Hollingsworth, Kieren G, PhD ; Sala, Evis, FRCR ; Lomas, David J, FRCR ; Tan, Li T, FRCR</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c529t-47ce3ac3769756944db3619a03b903ab91f2b8a4ed861b272e6f4d4496cbf0403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Cancer</topic><topic>Cell death</topic><topic>Chemotherapy</topic><topic>Contrast Media</topic><topic>Data processing</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Hypoxia</topic><topic>Magnetic Resonance Imaging</topic><topic>Medical prognosis</topic><topic>Microenvironments</topic><topic>Neoplasms - diagnostic imaging</topic><topic>Neoplasms - pathology</topic><topic>Neoplasms - radiotherapy</topic><topic>Patients</topic><topic>Permeability</topic><topic>Radiation</topic><topic>Radiation therapy</topic><topic>Radiotherapy</topic><topic>Reviews</topic><topic>Risk factors</topic><topic>Therapeutic applications</topic><topic>Tumors</topic><topic>Ultrasonography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zahra, Mark A, Dr</creatorcontrib><creatorcontrib>Hollingsworth, Kieren G, PhD</creatorcontrib><creatorcontrib>Sala, Evis, FRCR</creatorcontrib><creatorcontrib>Lomas, David J, FRCR</creatorcontrib><creatorcontrib>Tan, Li T, FRCR</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Pharma and Biotech Premium PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Lancet Titles</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>The lancet oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zahra, Mark A, Dr</au><au>Hollingsworth, Kieren G, PhD</au><au>Sala, Evis, FRCR</au><au>Lomas, David J, FRCR</au><au>Tan, Li T, FRCR</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy</atitle><jtitle>The lancet oncology</jtitle><addtitle>Lancet Oncol</addtitle><date>2007</date><risdate>2007</risdate><volume>8</volume><issue>1</issue><spage>63</spage><epage>74</epage><pages>63-74</pages><issn>1470-2045</issn><eissn>1474-5488</eissn><coden>LANCAO</coden><abstract>Summary A predictive technique in the management of patients with cancer could improve the therapeutic index by allowing better individualisation of treatment. The standard risk factors that are currently used do not adequately account for the unpredictable and substantial variation seen in the treatment response of patients with a similar risk profile. Dynamic contrast-enhanced (DCE) MRI is a non-invasive technique that can provide anatomical and physiological information on the tumour. The DCE-MRI data reflects the tumour microenvironment variables that are known to influence radiation response. The aim of this review is to describe the potential clinical application of DCE-MRI as a predictor of radiation response. We have reviewed the literature and identified 29 studies (total of 1194 patients) that correlate DCE-MRI with histopathological or clinical outcome data relevant to radiotherapy.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>17196512</pmid><doi>10.1016/S1470-2045(06)71012-9</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1470-2045 |
ispartof | The lancet oncology, 2007, Vol.8 (1), p.63-74 |
issn | 1470-2045 1474-5488 |
language | eng |
recordid | cdi_proquest_miscellaneous_954630230 |
source | MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland |
subjects | Cancer Cell death Chemotherapy Contrast Media Data processing Hematology, Oncology and Palliative Medicine Humans Hypoxia Magnetic Resonance Imaging Medical prognosis Microenvironments Neoplasms - diagnostic imaging Neoplasms - pathology Neoplasms - radiotherapy Patients Permeability Radiation Radiation therapy Radiotherapy Reviews Risk factors Therapeutic applications Tumors Ultrasonography |
title | Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T17%3A08%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Dynamic%20contrast-enhanced%20MRI%20as%20a%20predictor%20of%20tumour%20response%20to%20radiotherapy&rft.jtitle=The%20lancet%20oncology&rft.au=Zahra,%20Mark%20A,%20Dr&rft.date=2007&rft.volume=8&rft.issue=1&rft.spage=63&rft.epage=74&rft.pages=63-74&rft.issn=1470-2045&rft.eissn=1474-5488&rft.coden=LANCAO&rft_id=info:doi/10.1016/S1470-2045(06)71012-9&rft_dat=%3Cproquest_cross%3E954630230%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=200997613&rft_id=info:pmid/17196512&rft_els_id=S1470204506710129&rfr_iscdi=true |