A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer

Abstract Purpose To assess anatomical, clinical and dosimetric pre-treatment parameters, possibly predictors of parotid shrinkage during radiotherapy of head and neck cancer (HNC). Materials Data of 174 parotids from four institutions were analysed; patients were treated with IMRT, with radical and...

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Veröffentlicht in:Radiotherapy and oncology 2010-02, Vol.94 (2), p.206-212
Hauptverfasser: Broggi, Sara, Fiorino, Claudio, Dell’Oca, Italo, Dinapoli, Nicola, Paiusco, Marta, Muraglia, Alessandro, Maggiulli, Eleonora, Ricchetti, Francesco, Valentini, Vincenzo, Sanguineti, Giuseppe, Cattaneo, Giovanni Mauro, Di Muzio, Nadia, Calandrino, Riccardo
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container_issue 2
container_start_page 206
container_title Radiotherapy and oncology
container_volume 94
creator Broggi, Sara
Fiorino, Claudio
Dell’Oca, Italo
Dinapoli, Nicola
Paiusco, Marta
Muraglia, Alessandro
Maggiulli, Eleonora
Ricchetti, Francesco
Valentini, Vincenzo
Sanguineti, Giuseppe
Cattaneo, Giovanni Mauro
Di Muzio, Nadia
Calandrino, Riccardo
description Abstract Purpose To assess anatomical, clinical and dosimetric pre-treatment parameters, possibly predictors of parotid shrinkage during radiotherapy of head and neck cancer (HNC). Materials Data of 174 parotids from four institutions were analysed; patients were treated with IMRT, with radical and adjuvant intent. Parotid shrinkage was evaluated by the volumetric difference (Δ V ) between parotid volumes at the end and those at the start of the therapy, as assessed by CT images (MVCT for 40 patients, KVCT for 47 patients). Correlation between Δ V cc/% and a number of dosimetric, clinical and geometrical parameters was assessed. Univariate as well as stepwise logistic multivariate (MVA) analyses were performed by considering as an end-point a Δ V cc/% larger than the median value. Linear models of Δ V (continuous variable) based on the most predictive variables found at the MVA were developed. Results Median Δ V cc/% were 6.95 cc and 26%, respectively. The most predictive independent variables of Δ V cc at MVA were the initial parotid volume (IPV, OR: 1.100; p = 0.0002) and D mean (OR: 1.059; p = 0.038). The main independent predictors of Δ V % at MVA were age (OR: 0.968; p = 0.041) and V 40 (OR: 1.0338; p = 0.013). Δ V cc and Δ V % may be well described by the equations: Δ V cc = −2.44 + 0.076 D mean (Gy) + 0.279 IPV (cc) and Δ V % = 34.23 + 0.192 V 40 (%) − 0.2203 age (year). The predictive power of the Δ V cc model is higher than that of the Δ V % model. Conclusions IPV/age and D mean/ V 40 are the major dosimetric and clinical/anatomic predictors of Δ V cc and Δ V %. Δ V cc and Δ V % may be well described by bi-linear models including the above-mentioned variables.
doi_str_mv 10.1016/j.radonc.2009.12.014
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Materials Data of 174 parotids from four institutions were analysed; patients were treated with IMRT, with radical and adjuvant intent. Parotid shrinkage was evaluated by the volumetric difference (Δ V ) between parotid volumes at the end and those at the start of the therapy, as assessed by CT images (MVCT for 40 patients, KVCT for 47 patients). Correlation between Δ V cc/% and a number of dosimetric, clinical and geometrical parameters was assessed. Univariate as well as stepwise logistic multivariate (MVA) analyses were performed by considering as an end-point a Δ V cc/% larger than the median value. Linear models of Δ V (continuous variable) based on the most predictive variables found at the MVA were developed. Results Median Δ V cc/% were 6.95 cc and 26%, respectively. The most predictive independent variables of Δ V cc at MVA were the initial parotid volume (IPV, OR: 1.100; p = 0.0002) and D mean (OR: 1.059; p = 0.038). The main independent predictors of Δ V % at MVA were age (OR: 0.968; p = 0.041) and V 40 (OR: 1.0338; p = 0.013). Δ V cc and Δ V % may be well described by the equations: Δ V cc = −2.44 + 0.076 D mean (Gy) + 0.279 IPV (cc) and Δ V % = 34.23 + 0.192 V 40 (%) − 0.2203 age (year). The predictive power of the Δ V cc model is higher than that of the Δ V % model. Conclusions IPV/age and D mean/ V 40 are the major dosimetric and clinical/anatomic predictors of Δ V cc and Δ V %. Δ V cc and Δ V % may be well described by bi-linear models including the above-mentioned variables.</description><identifier>ISSN: 0167-8140</identifier><identifier>EISSN: 1879-0887</identifier><identifier>DOI: 10.1016/j.radonc.2009.12.014</identifier><identifier>PMID: 20117852</identifier><language>eng</language><publisher>Ireland: Elsevier Ireland Ltd</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Dose Fractionation ; Female ; Head and neck cancer ; Head and Neck Neoplasms - radiotherapy ; Hematology, Oncology and Palliative Medicine ; Humans ; Linear Models ; Logistic Models ; Male ; Middle Aged ; Parotid anatomic change ; Parotid Gland - radiation effects ; Parotid shrinkage predictivity ; Radiometry - methods ; Radiotherapy Dosage ; Radiotherapy, Intensity-Modulated - methods</subject><ispartof>Radiotherapy and oncology, 2010-02, Vol.94 (2), p.206-212</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2009 Elsevier Ireland Ltd</rights><rights>Copyright 2009 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-2125d3dda5f697af1b2840c2d448563fa1784d2ad6c24d34b45381e13be048393</citedby><cites>FETCH-LOGICAL-c416t-2125d3dda5f697af1b2840c2d448563fa1784d2ad6c24d34b45381e13be048393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167814009006720$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20117852$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Broggi, Sara</creatorcontrib><creatorcontrib>Fiorino, Claudio</creatorcontrib><creatorcontrib>Dell’Oca, Italo</creatorcontrib><creatorcontrib>Dinapoli, Nicola</creatorcontrib><creatorcontrib>Paiusco, Marta</creatorcontrib><creatorcontrib>Muraglia, Alessandro</creatorcontrib><creatorcontrib>Maggiulli, Eleonora</creatorcontrib><creatorcontrib>Ricchetti, Francesco</creatorcontrib><creatorcontrib>Valentini, Vincenzo</creatorcontrib><creatorcontrib>Sanguineti, Giuseppe</creatorcontrib><creatorcontrib>Cattaneo, Giovanni Mauro</creatorcontrib><creatorcontrib>Di Muzio, Nadia</creatorcontrib><creatorcontrib>Calandrino, Riccardo</creatorcontrib><title>A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer</title><title>Radiotherapy and oncology</title><addtitle>Radiother Oncol</addtitle><description>Abstract Purpose To assess anatomical, clinical and dosimetric pre-treatment parameters, possibly predictors of parotid shrinkage during radiotherapy of head and neck cancer (HNC). Materials Data of 174 parotids from four institutions were analysed; patients were treated with IMRT, with radical and adjuvant intent. Parotid shrinkage was evaluated by the volumetric difference (Δ V ) between parotid volumes at the end and those at the start of the therapy, as assessed by CT images (MVCT for 40 patients, KVCT for 47 patients). Correlation between Δ V cc/% and a number of dosimetric, clinical and geometrical parameters was assessed. Univariate as well as stepwise logistic multivariate (MVA) analyses were performed by considering as an end-point a Δ V cc/% larger than the median value. Linear models of Δ V (continuous variable) based on the most predictive variables found at the MVA were developed. Results Median Δ V cc/% were 6.95 cc and 26%, respectively. The most predictive independent variables of Δ V cc at MVA were the initial parotid volume (IPV, OR: 1.100; p = 0.0002) and D mean (OR: 1.059; p = 0.038). The main independent predictors of Δ V % at MVA were age (OR: 0.968; p = 0.041) and V 40 (OR: 1.0338; p = 0.013). Δ V cc and Δ V % may be well described by the equations: Δ V cc = −2.44 + 0.076 D mean (Gy) + 0.279 IPV (cc) and Δ V % = 34.23 + 0.192 V 40 (%) − 0.2203 age (year). The predictive power of the Δ V cc model is higher than that of the Δ V % model. Conclusions IPV/age and D mean/ V 40 are the major dosimetric and clinical/anatomic predictors of Δ V cc and Δ V %. Δ V cc and Δ V % may be well described by bi-linear models including the above-mentioned variables.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Dose Fractionation</subject><subject>Female</subject><subject>Head and neck cancer</subject><subject>Head and Neck Neoplasms - radiotherapy</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Parotid anatomic change</subject><subject>Parotid Gland - radiation effects</subject><subject>Parotid shrinkage predictivity</subject><subject>Radiometry - methods</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy, Intensity-Modulated - methods</subject><issn>0167-8140</issn><issn>1879-0887</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU1v1DAQhq0K1G4L_wAh3zglzNjO1wWpqgpUKkLqx9ly7Enr3Wy82ElR_z1ebemBCyf78Lwz9vMy9gGhRMD687qMxoXJlgKgK1GUgOqIrbBtugLatnnDVhlrihYVnLDTlNYAIEA2x-xEAGLTVmLF7s_5_DsUTyZ604_ERz-RiXwbHI08DHxnYpi94-kx-mljHoi7Jd8e-NWPmzs-hMgfyThuJscnshtuzWQpvmNvBzMmev9ynrH7r5d3F9-L65_fri7OrwursJ4LgaJy0jlTDXXXmAF70SqwwinVVrUcTH6kcsK42grlpOpVJVsklD2BamUnz9inw9xdDL8WSrPe-mRpHM1EYUm6kVJ0AqXKpDqQNoaUIg16F_3WxGeNoPc-9VoffOq9T41CZ5859vFlwdJvyb2G_grMwJcDQPmbT56iTtZTduB8JDtrF_z_Nvw7wOYOvDXjhp4prcMSp6xQo045oG_3ne4rhQ6gbnKffwC-6ZuG</recordid><startdate>20100201</startdate><enddate>20100201</enddate><creator>Broggi, Sara</creator><creator>Fiorino, Claudio</creator><creator>Dell’Oca, Italo</creator><creator>Dinapoli, Nicola</creator><creator>Paiusco, Marta</creator><creator>Muraglia, Alessandro</creator><creator>Maggiulli, Eleonora</creator><creator>Ricchetti, Francesco</creator><creator>Valentini, Vincenzo</creator><creator>Sanguineti, Giuseppe</creator><creator>Cattaneo, Giovanni Mauro</creator><creator>Di Muzio, Nadia</creator><creator>Calandrino, Riccardo</creator><general>Elsevier Ireland Ltd</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>7X8</scope></search><sort><creationdate>20100201</creationdate><title>A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer</title><author>Broggi, Sara ; Fiorino, Claudio ; Dell’Oca, Italo ; Dinapoli, Nicola ; Paiusco, Marta ; Muraglia, Alessandro ; Maggiulli, Eleonora ; Ricchetti, Francesco ; Valentini, Vincenzo ; Sanguineti, Giuseppe ; Cattaneo, Giovanni Mauro ; Di Muzio, Nadia ; Calandrino, Riccardo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-2125d3dda5f697af1b2840c2d448563fa1784d2ad6c24d34b45381e13be048393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Dose Fractionation</topic><topic>Female</topic><topic>Head and neck cancer</topic><topic>Head and Neck Neoplasms - radiotherapy</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Parotid anatomic change</topic><topic>Parotid Gland - radiation effects</topic><topic>Parotid shrinkage predictivity</topic><topic>Radiometry - methods</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy, Intensity-Modulated - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Broggi, Sara</creatorcontrib><creatorcontrib>Fiorino, Claudio</creatorcontrib><creatorcontrib>Dell’Oca, Italo</creatorcontrib><creatorcontrib>Dinapoli, Nicola</creatorcontrib><creatorcontrib>Paiusco, Marta</creatorcontrib><creatorcontrib>Muraglia, Alessandro</creatorcontrib><creatorcontrib>Maggiulli, Eleonora</creatorcontrib><creatorcontrib>Ricchetti, Francesco</creatorcontrib><creatorcontrib>Valentini, Vincenzo</creatorcontrib><creatorcontrib>Sanguineti, Giuseppe</creatorcontrib><creatorcontrib>Cattaneo, Giovanni Mauro</creatorcontrib><creatorcontrib>Di Muzio, Nadia</creatorcontrib><creatorcontrib>Calandrino, Riccardo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Radiotherapy and oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Broggi, Sara</au><au>Fiorino, Claudio</au><au>Dell’Oca, Italo</au><au>Dinapoli, Nicola</au><au>Paiusco, Marta</au><au>Muraglia, Alessandro</au><au>Maggiulli, Eleonora</au><au>Ricchetti, Francesco</au><au>Valentini, Vincenzo</au><au>Sanguineti, Giuseppe</au><au>Cattaneo, Giovanni Mauro</au><au>Di Muzio, Nadia</au><au>Calandrino, Riccardo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer</atitle><jtitle>Radiotherapy and oncology</jtitle><addtitle>Radiother Oncol</addtitle><date>2010-02-01</date><risdate>2010</risdate><volume>94</volume><issue>2</issue><spage>206</spage><epage>212</epage><pages>206-212</pages><issn>0167-8140</issn><eissn>1879-0887</eissn><abstract>Abstract Purpose To assess anatomical, clinical and dosimetric pre-treatment parameters, possibly predictors of parotid shrinkage during radiotherapy of head and neck cancer (HNC). Materials Data of 174 parotids from four institutions were analysed; patients were treated with IMRT, with radical and adjuvant intent. Parotid shrinkage was evaluated by the volumetric difference (Δ V ) between parotid volumes at the end and those at the start of the therapy, as assessed by CT images (MVCT for 40 patients, KVCT for 47 patients). Correlation between Δ V cc/% and a number of dosimetric, clinical and geometrical parameters was assessed. Univariate as well as stepwise logistic multivariate (MVA) analyses were performed by considering as an end-point a Δ V cc/% larger than the median value. Linear models of Δ V (continuous variable) based on the most predictive variables found at the MVA were developed. Results Median Δ V cc/% were 6.95 cc and 26%, respectively. The most predictive independent variables of Δ V cc at MVA were the initial parotid volume (IPV, OR: 1.100; p = 0.0002) and D mean (OR: 1.059; p = 0.038). The main independent predictors of Δ V % at MVA were age (OR: 0.968; p = 0.041) and V 40 (OR: 1.0338; p = 0.013). Δ V cc and Δ V % may be well described by the equations: Δ V cc = −2.44 + 0.076 D mean (Gy) + 0.279 IPV (cc) and Δ V % = 34.23 + 0.192 V 40 (%) − 0.2203 age (year). The predictive power of the Δ V cc model is higher than that of the Δ V % model. Conclusions IPV/age and D mean/ V 40 are the major dosimetric and clinical/anatomic predictors of Δ V cc and Δ V %. Δ V cc and Δ V % may be well described by bi-linear models including the above-mentioned variables.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>20117852</pmid><doi>10.1016/j.radonc.2009.12.014</doi><tpages>7</tpages></addata></record>
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subjects Adult
Aged
Aged, 80 and over
Dose Fractionation
Female
Head and neck cancer
Head and Neck Neoplasms - radiotherapy
Hematology, Oncology and Palliative Medicine
Humans
Linear Models
Logistic Models
Male
Middle Aged
Parotid anatomic change
Parotid Gland - radiation effects
Parotid shrinkage predictivity
Radiometry - methods
Radiotherapy Dosage
Radiotherapy, Intensity-Modulated - methods
title A two-variable linear model of parotid shrinkage during IMRT for head and neck cancer
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