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 |
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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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