A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer
Purpose To investigate the combination of pharmacokinetic and radiologic assessment of dynamic contrast-enhanced magnetic resonance imaging (MRI) as an early response indicator in women receiving chemoradiation for advanced cervical cancer. Methods and Materials Twenty women with locally advanced ce...
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Veröffentlicht in: | International journal of radiation oncology, biology, physics biology, physics, 2009-10, Vol.75 (2), p.611-617 |
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creator | Semple, Scott I.K., Ph.D Harry, Vanessa N., MRCOG Parkin, David E., FRCOG Gilbert, Fiona J., FRCR |
description | Purpose To investigate the combination of pharmacokinetic and radiologic assessment of dynamic contrast-enhanced magnetic resonance imaging (MRI) as an early response indicator in women receiving chemoradiation for advanced cervical cancer. Methods and Materials Twenty women with locally advanced cervical cancer were included in a prospective cohort study. Dynamic contrast-enhanced MRI was carried out before chemoradiation, after 2 weeks of therapy, and at the conclusion of therapy using a 1.5-T MRI scanner. Radiologic assessment of uptake parameters was obtained from resultant intensity curves. Pharmacokinetic analysis using a multicompartment model was also performed. General linear modeling was used to combine radiologic and pharmacokinetic parameters and correlated with eventual response as determined by change in MRI tumor size and conventional clinical response. A subgroup of 11 women underwent repeat pretherapy MRI to test pharmacokinetic reproducibility. Results Pretherapy radiologic parameters and pharmacokinetic Ktrans correlated with response ( p < 0.01). General linear modeling demonstrated that a combination of radiologic and pharmacokinetic assessments before therapy was able to predict more than 88% of variance of response. Reproducibility of pharmacokinetic modeling was confirmed. Conclusions A combination of radiologic assessment with pharmacokinetic modeling applied to dynamic MRI before the start of chemoradiation improves the predictive power of either by more than 20%. The potential improvements in therapy response prediction using this type of combined analysis of dynamic contrast-enhanced MRI may aid in the development of more individualized, effective therapy regimens for this patient group. |
doi_str_mv | 10.1016/j.ijrobp.2009.04.069 |
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Methods and Materials Twenty women with locally advanced cervical cancer were included in a prospective cohort study. Dynamic contrast-enhanced MRI was carried out before chemoradiation, after 2 weeks of therapy, and at the conclusion of therapy using a 1.5-T MRI scanner. Radiologic assessment of uptake parameters was obtained from resultant intensity curves. Pharmacokinetic analysis using a multicompartment model was also performed. General linear modeling was used to combine radiologic and pharmacokinetic parameters and correlated with eventual response as determined by change in MRI tumor size and conventional clinical response. A subgroup of 11 women underwent repeat pretherapy MRI to test pharmacokinetic reproducibility. Results Pretherapy radiologic parameters and pharmacokinetic Ktrans correlated with response ( p < 0.01). General linear modeling demonstrated that a combination of radiologic and pharmacokinetic assessments before therapy was able to predict more than 88% of variance of response. Reproducibility of pharmacokinetic modeling was confirmed. Conclusions A combination of radiologic assessment with pharmacokinetic modeling applied to dynamic MRI before the start of chemoradiation improves the predictive power of either by more than 20%. The potential improvements in therapy response prediction using this type of combined analysis of dynamic contrast-enhanced MRI may aid in the development of more individualized, effective therapy regimens for this patient group.</description><identifier>ISSN: 0360-3016</identifier><identifier>EISSN: 1879-355X</identifier><identifier>DOI: 10.1016/j.ijrobp.2009.04.069</identifier><identifier>PMID: 19735887</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adenocarcinoma - drug therapy ; Adenocarcinoma - metabolism ; Adenocarcinoma - pathology ; Adenocarcinoma - radiotherapy ; Adult ; Aged ; Aged, 80 and over ; Carcinoma, Squamous Cell - drug therapy ; Carcinoma, Squamous Cell - metabolism ; Carcinoma, Squamous Cell - pathology ; Carcinoma, Squamous Cell - radiotherapy ; Cervical cancer ; CHEMOTHERAPY ; Combined Modality Therapy - methods ; Contrast Media - pharmacokinetics ; Dynamic MRI ; Efficacy ; Female ; Hematology, Oncology and Palliative Medicine ; Humans ; Image Enhancement - methods ; Linear Models ; Magnetic Resonance Imaging - methods ; Middle Aged ; NEOPLASMS ; NMR IMAGING ; PATIENTS ; Prospective Studies ; Radiology ; RADIOLOGY AND NUCLEAR MEDICINE ; RADIOTHERAPY ; SIMULATION ; Treatment Outcome ; Uterine Cervical Neoplasms - drug therapy ; Uterine Cervical Neoplasms - metabolism ; Uterine Cervical Neoplasms - pathology ; Uterine Cervical Neoplasms - radiotherapy ; WOMEN</subject><ispartof>International journal of radiation oncology, biology, physics, 2009-10, Vol.75 (2), p.611-617</ispartof><rights>Elsevier Inc.</rights><rights>2009 Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-933f92582f5844ca10462a9b99e0f6b9cfb443061339c1d67e5158f27f0cf8193</citedby><cites>FETCH-LOGICAL-c540t-933f92582f5844ca10462a9b99e0f6b9cfb443061339c1d67e5158f27f0cf8193</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360301609006671$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19735887$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/21282068$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Semple, Scott I.K., Ph.D</creatorcontrib><creatorcontrib>Harry, Vanessa N., MRCOG</creatorcontrib><creatorcontrib>Parkin, David E., FRCOG</creatorcontrib><creatorcontrib>Gilbert, Fiona J., FRCR</creatorcontrib><title>A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer</title><title>International journal of radiation oncology, biology, physics</title><addtitle>Int J Radiat Oncol Biol Phys</addtitle><description>Purpose To investigate the combination of pharmacokinetic and radiologic assessment of dynamic contrast-enhanced magnetic resonance imaging (MRI) as an early response indicator in women receiving chemoradiation for advanced cervical cancer. Methods and Materials Twenty women with locally advanced cervical cancer were included in a prospective cohort study. Dynamic contrast-enhanced MRI was carried out before chemoradiation, after 2 weeks of therapy, and at the conclusion of therapy using a 1.5-T MRI scanner. Radiologic assessment of uptake parameters was obtained from resultant intensity curves. Pharmacokinetic analysis using a multicompartment model was also performed. General linear modeling was used to combine radiologic and pharmacokinetic parameters and correlated with eventual response as determined by change in MRI tumor size and conventional clinical response. A subgroup of 11 women underwent repeat pretherapy MRI to test pharmacokinetic reproducibility. Results Pretherapy radiologic parameters and pharmacokinetic Ktrans correlated with response ( p < 0.01). General linear modeling demonstrated that a combination of radiologic and pharmacokinetic assessments before therapy was able to predict more than 88% of variance of response. Reproducibility of pharmacokinetic modeling was confirmed. Conclusions A combination of radiologic assessment with pharmacokinetic modeling applied to dynamic MRI before the start of chemoradiation improves the predictive power of either by more than 20%. The potential improvements in therapy response prediction using this type of combined analysis of dynamic contrast-enhanced MRI may aid in the development of more individualized, effective therapy regimens for this patient group.</description><subject>Adenocarcinoma - drug therapy</subject><subject>Adenocarcinoma - metabolism</subject><subject>Adenocarcinoma - pathology</subject><subject>Adenocarcinoma - radiotherapy</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Carcinoma, Squamous Cell - drug therapy</subject><subject>Carcinoma, Squamous Cell - metabolism</subject><subject>Carcinoma, Squamous Cell - pathology</subject><subject>Carcinoma, Squamous Cell - radiotherapy</subject><subject>Cervical cancer</subject><subject>CHEMOTHERAPY</subject><subject>Combined Modality Therapy - methods</subject><subject>Contrast Media - pharmacokinetics</subject><subject>Dynamic MRI</subject><subject>Efficacy</subject><subject>Female</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Linear Models</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Middle Aged</subject><subject>NEOPLASMS</subject><subject>NMR IMAGING</subject><subject>PATIENTS</subject><subject>Prospective Studies</subject><subject>Radiology</subject><subject>RADIOLOGY AND NUCLEAR MEDICINE</subject><subject>RADIOTHERAPY</subject><subject>SIMULATION</subject><subject>Treatment Outcome</subject><subject>Uterine Cervical Neoplasms - drug therapy</subject><subject>Uterine Cervical Neoplasms - metabolism</subject><subject>Uterine Cervical Neoplasms - pathology</subject><subject>Uterine Cervical Neoplasms - radiotherapy</subject><subject>WOMEN</subject><issn>0360-3016</issn><issn>1879-355X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUl2LFDEQHETx1tN_IBIQfJuxM995EZbx1IMVj1PBt5DJ9OxmbybZS7IL-7_8gSbMguCLT6E7VdVNVSfJawoZBVq_32dqb01_yHIAlkGZQc2eJCvaNiwtqurX02QFRQ1pEcBXyQvn9gBAaVM-T64oa4qqbZtV8ntNOjP3SuNA7nbCzkKah1B5JYnQA7kXgzKT2YZy7Rw6N6P2xIzk41mLOXQ7o70Vzqc3eie0DDJfxXbh36MzOvbI7Sy2Sm_JncVBSe_i18Foh8Qb0u1wNjbMEV4ZTZQmGyPFNJ3Jejgtkh3akwo90sXavkyejWJy-OryXic_P9386L6km2-fb7v1JpVVCT5lRTGyvGrzsWrLUgoKZZ0L1jOGMNY9k2NflgXUtCiYpEPdYEWrdsybEeTYUlZcJ28XXeO84k4qj3InjdYoPc9p3uZQtwH1bkEdrHk8ovN8Vk7iNAmN5ugCEFhJmyhXLkBpjXMWR36wahb2zCnwmCnf8yVTHjPlUPKQaaC9uegf-xmHv6RLiAHwYQFg8OKk0MZVMRqnbNx0MOp_E_4VkJPS0fAHPKPbm6PVwWdOucs58O_xruJZAQOo64YWfwAeasuH</recordid><startdate>20091001</startdate><enddate>20091001</enddate><creator>Semple, Scott I.K., Ph.D</creator><creator>Harry, Vanessa N., MRCOG</creator><creator>Parkin, David E., FRCOG</creator><creator>Gilbert, Fiona J., FRCR</creator><general>Elsevier Inc</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>7U7</scope><scope>C1K</scope><scope>OTOTI</scope></search><sort><creationdate>20091001</creationdate><title>A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer</title><author>Semple, Scott I.K., Ph.D ; Harry, Vanessa N., MRCOG ; Parkin, David E., FRCOG ; Gilbert, Fiona J., FRCR</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-933f92582f5844ca10462a9b99e0f6b9cfb443061339c1d67e5158f27f0cf8193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Adenocarcinoma - drug therapy</topic><topic>Adenocarcinoma - metabolism</topic><topic>Adenocarcinoma - pathology</topic><topic>Adenocarcinoma - radiotherapy</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Carcinoma, Squamous Cell - drug therapy</topic><topic>Carcinoma, Squamous Cell - metabolism</topic><topic>Carcinoma, Squamous Cell - pathology</topic><topic>Carcinoma, Squamous Cell - radiotherapy</topic><topic>Cervical cancer</topic><topic>CHEMOTHERAPY</topic><topic>Combined Modality Therapy - methods</topic><topic>Contrast Media - pharmacokinetics</topic><topic>Dynamic MRI</topic><topic>Efficacy</topic><topic>Female</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Linear Models</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Middle Aged</topic><topic>NEOPLASMS</topic><topic>NMR IMAGING</topic><topic>PATIENTS</topic><topic>Prospective Studies</topic><topic>Radiology</topic><topic>RADIOLOGY AND NUCLEAR MEDICINE</topic><topic>RADIOTHERAPY</topic><topic>SIMULATION</topic><topic>Treatment Outcome</topic><topic>Uterine Cervical Neoplasms - drug therapy</topic><topic>Uterine Cervical Neoplasms - metabolism</topic><topic>Uterine Cervical Neoplasms - pathology</topic><topic>Uterine Cervical Neoplasms - radiotherapy</topic><topic>WOMEN</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Semple, Scott I.K., Ph.D</creatorcontrib><creatorcontrib>Harry, Vanessa N., MRCOG</creatorcontrib><creatorcontrib>Parkin, David E., FRCOG</creatorcontrib><creatorcontrib>Gilbert, Fiona J., 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>Toxicology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>OSTI.GOV</collection><jtitle>International journal of radiation oncology, biology, physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Semple, Scott I.K., Ph.D</au><au>Harry, Vanessa N., MRCOG</au><au>Parkin, David E., FRCOG</au><au>Gilbert, Fiona J., FRCR</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer</atitle><jtitle>International journal of radiation oncology, biology, physics</jtitle><addtitle>Int J Radiat Oncol Biol Phys</addtitle><date>2009-10-01</date><risdate>2009</risdate><volume>75</volume><issue>2</issue><spage>611</spage><epage>617</epage><pages>611-617</pages><issn>0360-3016</issn><eissn>1879-355X</eissn><abstract>Purpose To investigate the combination of pharmacokinetic and radiologic assessment of dynamic contrast-enhanced magnetic resonance imaging (MRI) as an early response indicator in women receiving chemoradiation for advanced cervical cancer. Methods and Materials Twenty women with locally advanced cervical cancer were included in a prospective cohort study. Dynamic contrast-enhanced MRI was carried out before chemoradiation, after 2 weeks of therapy, and at the conclusion of therapy using a 1.5-T MRI scanner. Radiologic assessment of uptake parameters was obtained from resultant intensity curves. Pharmacokinetic analysis using a multicompartment model was also performed. General linear modeling was used to combine radiologic and pharmacokinetic parameters and correlated with eventual response as determined by change in MRI tumor size and conventional clinical response. A subgroup of 11 women underwent repeat pretherapy MRI to test pharmacokinetic reproducibility. Results Pretherapy radiologic parameters and pharmacokinetic Ktrans correlated with response ( p < 0.01). General linear modeling demonstrated that a combination of radiologic and pharmacokinetic assessments before therapy was able to predict more than 88% of variance of response. Reproducibility of pharmacokinetic modeling was confirmed. Conclusions A combination of radiologic assessment with pharmacokinetic modeling applied to dynamic MRI before the start of chemoradiation improves the predictive power of either by more than 20%. The potential improvements in therapy response prediction using this type of combined analysis of dynamic contrast-enhanced MRI may aid in the development of more individualized, effective therapy regimens for this patient group.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>19735887</pmid><doi>10.1016/j.ijrobp.2009.04.069</doi><tpages>7</tpages></addata></record> |
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subjects | Adenocarcinoma - drug therapy Adenocarcinoma - metabolism Adenocarcinoma - pathology Adenocarcinoma - radiotherapy Adult Aged Aged, 80 and over Carcinoma, Squamous Cell - drug therapy Carcinoma, Squamous Cell - metabolism Carcinoma, Squamous Cell - pathology Carcinoma, Squamous Cell - radiotherapy Cervical cancer CHEMOTHERAPY Combined Modality Therapy - methods Contrast Media - pharmacokinetics Dynamic MRI Efficacy Female Hematology, Oncology and Palliative Medicine Humans Image Enhancement - methods Linear Models Magnetic Resonance Imaging - methods Middle Aged NEOPLASMS NMR IMAGING PATIENTS Prospective Studies Radiology RADIOLOGY AND NUCLEAR MEDICINE RADIOTHERAPY SIMULATION Treatment Outcome Uterine Cervical Neoplasms - drug therapy Uterine Cervical Neoplasms - metabolism Uterine Cervical Neoplasms - pathology Uterine Cervical Neoplasms - radiotherapy WOMEN |
title | A Combined Pharmacokinetic and Radiologic Assessment of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Predicts Response to Chemoradiation in Locally Advanced Cervical Cancer |
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