{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,23]],"date-time":"2023-09-23T21:04:43Z","timestamp":1695503083924},"reference-count":39,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p><jats:italic>Background<\/jats:italic>. To characterize the lung tumor volume response during conventional and hypofractionated radiotherapy (RT) based on diagnostic quality CT images prior to each treatment fraction.<jats:italic>Methods<\/jats:italic>. Out of 26 consecutive patients who had received CT-on-rails IGRT to the lung from 2004 to 2008, 18 were selected because they had lung lesions that could be easily distinguished. The time course of the tumor volume for each patient was individually analyzed using a computer program.<jats:italic>Results<\/jats:italic>. The model fits of group L (conventional fractionation) patients were very close to experimental data, with a median \u0394% (average percent difference between data and fit) of 5.1% (range 3.5\u201310.2%). The fits obtained in group S (hypofractionation) patients were generally good, with a median \u0394% of 7.2% (range 3.7\u201323.9%) for the best fitting model. Four types of tumor responses were observed\u2014Type A: \u201chigh\u201d kill and \u201cslow\u201d dying rate; Type B: \u201chigh\u201d kill and \u201cfast\u201d dying rate; Type C: \u201clow\u201d kill and \u201cslow\u201d dying rate; and Type D: \u201clow\u201d kill and \u201cfast\u201d dying rate.<jats:italic>Conclusions<\/jats:italic>. The models used in this study performed well in fitting the available dataset. The models provided useful insights into the possible underlying mechanisms responsible for the RT tumor volume response.<\/jats:p>","DOI":"10.1155\/2013\/637181","type":"journal-article","created":{"date-parts":[[2013,10,25]],"date-time":"2013-10-25T03:00:24Z","timestamp":1382670024000},"page":"1-13","source":"Crossref","is-referenced-by-count":3,"title":["Modeling of Non-Small Cell Lung Cancer Volume Changes during CT-Based Image Guided Radiotherapy: Patterns Observed and Clinical Implications"],"prefix":"10.1155","volume":"2013","author":[{"given":"Hiram A.","family":"Gay","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, MO, 63110, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quendella Q.","family":"Taylor","sequence":"additional","affiliation":[{"name":"Maine Medical Center, Southern Maine Radiation Therapy Institute, 22 Bramhall Street, Portland, ME 04102, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fumika","family":"Kiriyama","sequence":"additional","affiliation":[{"name":"Maine Medical Center, Southern Maine Radiation Therapy Institute, 22 Bramhall Street, Portland, ME 04102, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geoffrey T.","family":"Dieck","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Pocono Medical Center, 206 East Brown Street, East Stroudsburg, PA 18301, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Todd","family":"Jenkins","sequence":"additional","affiliation":[{"name":"Nash Cancer Treatment Center, 2450 Curtis Ellis Drive, Rocky Mount, NC 27804, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Walker","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, The Brody School of Medicine, East Carolina University, 600 Moye Boulevard, Greenville, NC 27834, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ron R.","family":"Allison","sequence":"additional","affiliation":[{"name":"21st Century Oncology, 801 W.H. 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