Is correction for lung density in radiotherapy treatment planning necessary?
From 1978-981 a series of 30 patients with cancer of the esophagus were treated at the National Cancer Institute. Each of these patients had a CT scan of the chest taken in the treatment position, but prior to any treatment being given. Using these scans a retrospective analysis of the effect of lun...
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Veröffentlicht in: | International journal of radiation oncology, biology, physics biology, physics, 1987-02, Vol.13 (2), p.273-278 |
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container_title | International journal of radiation oncology, biology, physics |
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creator | Gillies McKenna, W. Yeakel, Kathy Klink, Arlene Fraass, Benedick A. Geijn, Jan ban de Glatstein, Eli Lichter, Allen S. |
description | From 1978-981 a series of 30 patients with cancer of the esophagus were treated at the National Cancer Institute. Each of these patients had a CT scan of the chest taken in the treatment position, but prior to any treatment being given. Using these scans a retrospective analysis of the effect of lung density on delivered dose was performed. This indicated that failure to correct for tissue inhomogeneity results in a much higher dose being delivered than is prescribed. This effect is dependent on the energy of the beam being used for treatment, it may exceed 30% for
60Co. It also showed that there is wide patient to patient variation in lung density and that this variation is nonrandomly distributed. The average lung density in his group of patients was 0.21 compared to the standard estimate of 0.35 but some had densities substantially lower than this, these being the patients with the largest lung volumes. This variability acts to further increase the discrepancy between prescribed and delivered dose even in a very homogeneous group of patients being treated under identical conditions for the same malignancy. The implications of this for future clinical trials in thoracic malignancies are discussed. |
doi_str_mv | 10.1016/0360-3016(87)90139-8 |
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60Co. It also showed that there is wide patient to patient variation in lung density and that this variation is nonrandomly distributed. The average lung density in his group of patients was 0.21 compared to the standard estimate of 0.35 but some had densities substantially lower than this, these being the patients with the largest lung volumes. This variability acts to further increase the discrepancy between prescribed and delivered dose even in a very homogeneous group of patients being treated under identical conditions for the same malignancy. The implications of this for future clinical trials in thoracic malignancies are discussed.</description><identifier>ISSN: 0360-3016</identifier><identifier>EISSN: 1879-355X</identifier><identifier>DOI: 10.1016/0360-3016(87)90139-8</identifier><identifier>PMID: 3818395</identifier><identifier>CODEN: IOBPD3</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Esophageal cancer ; Esophageal Neoplasms - diagnostic imaging ; Esophageal Neoplasms - radiotherapy ; Female ; Humans ; Inhomogeneity ; Lung - diagnostic imaging ; Lung density ; Male ; Medical sciences ; Middle Aged ; Pneumology ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Computer-Assisted ; Tomography, X-Ray Computed ; Treatment planning ; Tumors of the respiratory system and mediastinum</subject><ispartof>International journal of radiation oncology, biology, physics, 1987-02, Vol.13 (2), p.273-278</ispartof><rights>1987</rights><rights>1987 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-420c4aa4ddc2a474cdc7bc6ed4b825bddd74165edb41291fc983a63e2391d2fb3</citedby><cites>FETCH-LOGICAL-c386t-420c4aa4ddc2a474cdc7bc6ed4b825bddd74165edb41291fc983a63e2391d2fb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/0360301687901398$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=8125721$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/3818395$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gillies McKenna, W.</creatorcontrib><creatorcontrib>Yeakel, Kathy</creatorcontrib><creatorcontrib>Klink, Arlene</creatorcontrib><creatorcontrib>Fraass, Benedick A.</creatorcontrib><creatorcontrib>Geijn, Jan ban de</creatorcontrib><creatorcontrib>Glatstein, Eli</creatorcontrib><creatorcontrib>Lichter, Allen S.</creatorcontrib><title>Is correction for lung density in radiotherapy treatment planning necessary?</title><title>International journal of radiation oncology, biology, physics</title><addtitle>Int J Radiat Oncol Biol Phys</addtitle><description>From 1978-981 a series of 30 patients with cancer of the esophagus were treated at the National Cancer Institute. Each of these patients had a CT scan of the chest taken in the treatment position, but prior to any treatment being given. Using these scans a retrospective analysis of the effect of lung density on delivered dose was performed. This indicated that failure to correct for tissue inhomogeneity results in a much higher dose being delivered than is prescribed. This effect is dependent on the energy of the beam being used for treatment, it may exceed 30% for
60Co. It also showed that there is wide patient to patient variation in lung density and that this variation is nonrandomly distributed. The average lung density in his group of patients was 0.21 compared to the standard estimate of 0.35 but some had densities substantially lower than this, these being the patients with the largest lung volumes. This variability acts to further increase the discrepancy between prescribed and delivered dose even in a very homogeneous group of patients being treated under identical conditions for the same malignancy. The implications of this for future clinical trials in thoracic malignancies are discussed.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Esophageal cancer</subject><subject>Esophageal Neoplasms - diagnostic imaging</subject><subject>Esophageal Neoplasms - radiotherapy</subject><subject>Female</subject><subject>Humans</subject><subject>Inhomogeneity</subject><subject>Lung - diagnostic imaging</subject><subject>Lung density</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Pneumology</subject><subject>Radiotherapy Planning, Computer-Assisted</subject><subject>Radiotherapy, Computer-Assisted</subject><subject>Tomography, X-Ray Computed</subject><subject>Treatment planning</subject><subject>Tumors of the respiratory system and mediastinum</subject><issn>0360-3016</issn><issn>1879-355X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1987</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE1LxDAQhoMo67r6DxR6ENFDNWnSJr0osvixsOBFwVtIk6lGuumatML-e1O37NHTDMzzDi8PQqcEXxNMihtMC5zSuF0KflViQstU7KEpEbxMaZ6_76PpDjlERyF8YYwJ4WyCJlQQQct8ipaLkOjWe9CdbV1Stz5peveRGHDBdpvEusQrY9vuE7xab5LOg-pW4Lpk3SjnbEQdaAhB-c3dMTqoVRPgZJwz9Pb48Dp_TpcvT4v5_TLVVBRdyjKsmVLMGJ0pxpk2mle6AMMqkeWVMYYzUuRgKkayktS6FFQVFDJaEpPVFZ2hi-3ftW-_ewidXNmgoYmNoO2D5JyWnOQ4gmwLat-G4KGWa29XsaokWA4S5WBIDoak4PJPohQxdjb-76sVmF1otBbv5-NdBa2a2iunbdhhgmQ5z0jEbrcYRBc_FrwM2oLTYOzgW5rW_t_jF5kljss</recordid><startdate>19870201</startdate><enddate>19870201</enddate><creator>Gillies McKenna, W.</creator><creator>Yeakel, Kathy</creator><creator>Klink, Arlene</creator><creator>Fraass, Benedick A.</creator><creator>Geijn, Jan ban de</creator><creator>Glatstein, Eli</creator><creator>Lichter, Allen S.</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><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>19870201</creationdate><title>Is correction for lung density in radiotherapy treatment planning necessary?</title><author>Gillies McKenna, W. ; Yeakel, Kathy ; Klink, Arlene ; Fraass, Benedick A. ; Geijn, Jan ban de ; Glatstein, Eli ; Lichter, Allen S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-420c4aa4ddc2a474cdc7bc6ed4b825bddd74165edb41291fc983a63e2391d2fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1987</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Esophageal cancer</topic><topic>Esophageal Neoplasms - diagnostic imaging</topic><topic>Esophageal Neoplasms - radiotherapy</topic><topic>Female</topic><topic>Humans</topic><topic>Inhomogeneity</topic><topic>Lung - diagnostic imaging</topic><topic>Lung density</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Pneumology</topic><topic>Radiotherapy Planning, Computer-Assisted</topic><topic>Radiotherapy, Computer-Assisted</topic><topic>Tomography, X-Ray Computed</topic><topic>Treatment planning</topic><topic>Tumors of the respiratory system and mediastinum</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gillies McKenna, W.</creatorcontrib><creatorcontrib>Yeakel, Kathy</creatorcontrib><creatorcontrib>Klink, Arlene</creatorcontrib><creatorcontrib>Fraass, Benedick A.</creatorcontrib><creatorcontrib>Geijn, Jan ban de</creatorcontrib><creatorcontrib>Glatstein, Eli</creatorcontrib><creatorcontrib>Lichter, Allen S.</creatorcontrib><collection>Pascal-Francis</collection><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>International journal of radiation oncology, biology, physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gillies McKenna, W.</au><au>Yeakel, Kathy</au><au>Klink, Arlene</au><au>Fraass, Benedick A.</au><au>Geijn, Jan ban de</au><au>Glatstein, Eli</au><au>Lichter, Allen S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Is correction for lung density in radiotherapy treatment planning necessary?</atitle><jtitle>International journal of radiation oncology, biology, physics</jtitle><addtitle>Int J Radiat Oncol Biol Phys</addtitle><date>1987-02-01</date><risdate>1987</risdate><volume>13</volume><issue>2</issue><spage>273</spage><epage>278</epage><pages>273-278</pages><issn>0360-3016</issn><eissn>1879-355X</eissn><coden>IOBPD3</coden><abstract>From 1978-981 a series of 30 patients with cancer of the esophagus were treated at the National Cancer Institute. Each of these patients had a CT scan of the chest taken in the treatment position, but prior to any treatment being given. Using these scans a retrospective analysis of the effect of lung density on delivered dose was performed. This indicated that failure to correct for tissue inhomogeneity results in a much higher dose being delivered than is prescribed. This effect is dependent on the energy of the beam being used for treatment, it may exceed 30% for
60Co. It also showed that there is wide patient to patient variation in lung density and that this variation is nonrandomly distributed. The average lung density in his group of patients was 0.21 compared to the standard estimate of 0.35 but some had densities substantially lower than this, these being the patients with the largest lung volumes. This variability acts to further increase the discrepancy between prescribed and delivered dose even in a very homogeneous group of patients being treated under identical conditions for the same malignancy. The implications of this for future clinical trials in thoracic malignancies are discussed.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>3818395</pmid><doi>10.1016/0360-3016(87)90139-8</doi><tpages>6</tpages></addata></record> |
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subjects | Adult Aged Biological and medical sciences Esophageal cancer Esophageal Neoplasms - diagnostic imaging Esophageal Neoplasms - radiotherapy Female Humans Inhomogeneity Lung - diagnostic imaging Lung density Male Medical sciences Middle Aged Pneumology Radiotherapy Planning, Computer-Assisted Radiotherapy, Computer-Assisted Tomography, X-Ray Computed Treatment planning Tumors of the respiratory system and mediastinum |
title | Is correction for lung density in radiotherapy treatment planning necessary? |
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