{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T12:50:01Z","timestamp":1789390201190,"version":"build-2803163510"},"reference-count":37,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2015,3,2]],"date-time":"2015-03-02T00:00:00Z","timestamp":1425254400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Technol Cancer Res Treat"],"published-print":{"date-parts":[[2016,2]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To develop decision trees predicting for tumor volume reduction in patients with head and neck (H&amp;N) cancer using pretreatment clinical and pathological parameters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Forty-eight patients treated with definitive concurrent chemoradiotherapy for squamous cell carcinoma of the nasopharynx, oropharynx, oral cavity, or hypopharynx were retrospectively analyzed. These patients were rescanned at a median dose of 37.8 Gy and replanned to account for anatomical changes. The percentages of gross tumor volume (GTV) change from initial to rescan computed tomography (CT; %GTV\u0394) were calculated. Two decision trees were generated to correlate %GTV\u0394 in primary and nodal volumes with 14 characteristics including age, gender, Karnofsky performance status (KPS), site, human papilloma virus (HPV) status, tumor grade, primary tumor growth pattern (endophytic\/exophytic), tumor\/nodal\/group stages, chemotherapy regimen, and primary, nodal, and total GTV volumes in the initial CT scan. The C4.5 Decision Tree induction algorithm was implemented.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The median %GTV\u0394 for primary, nodal, and total GTVs was 26.8%, 43.0%, and 31.2%, respectively. Type of chemotherapy, age, primary tumor growth pattern, site, KPS, and HPV status were the most predictive parameters for primary %GTV\u0394 decision tree, whereas for nodal %GTV\u0394, KPS, site, age, primary tumor growth pattern, initial primary GTV, and total GTV volumes were predictive. Both decision trees had an accuracy of 88%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>There can be significant changes in primary and nodal tumor volumes during the course of H&amp;N chemoradiotherapy. Considering the proposed decision trees, radiation oncologists can select patients predicted to have high %GTV\u0394, who would theoretically gain the most benefit from adaptive radiotherapy, in order to better use limited clinical resources.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1533034615572638","type":"journal-article","created":{"date-parts":[[2015,3,2]],"date-time":"2015-03-02T20:42:24Z","timestamp":1425328944000},"page":"139-145","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":41,"title":["Decision Trees Predicting Tumor Shrinkage for Head and Neck Cancer"],"prefix":"10.1177","volume":"15","author":[{"given":"Murat","family":"Surucu","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karan K.","family":"Shah","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibrahim","family":"Mescioglu","sequence":"additional","affiliation":[{"name":"Department of Management Information Systems, Lewis University, Romeoville, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John C.","family":"Roeske","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr","given":"William","family":"Small","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehee","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bahman","family":"Emami","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, Loyola University Chicago, Maywood, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2015,3,2]]},"reference":[{"key":"bibr1-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.meddos.2005.12.004"},{"key":"bibr2-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2010.10.072"},{"key":"bibr3-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2011.08.017"},{"key":"bibr4-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2007.07.2345"},{"key":"bibr5-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2009.04.005"},{"key":"bibr6-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2010.03.014"},{"key":"bibr7-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2007.06.015"},{"key":"bibr8-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2008.04.013"},{"key":"bibr9-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2010.03.028"},{"key":"bibr10-1533034615572638","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.109.062638"},{"key":"bibr11-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2003.12.024"},{"key":"bibr12-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1002\/hed.23328"},{"key":"bibr13-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2005.07.957"},{"key":"bibr14-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"bibr15-1533034615572638","unstructured":"Quinlan J. C4.5: Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann Publishers Inc; 1993:302."},{"key":"bibr16-1533034615572638","doi-asserted-by":"crossref","unstructured":"Breiman L, Friedman JH, Olshen RA, Stone CJ. Classification and Regression Trees. Belmont, CA: Wadsworth; 1984:95\u201396. doi:10.1371\/journal.pone.0015807.","DOI":"10.1371\/journal.pone.0015807"},{"key":"bibr17-1533034615572638","first-page":"105","volume-title":"User Model 2001","volume":"2009","author":"Stolze M"},{"key":"bibr18-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(03)00984-7"},{"key":"bibr19-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1002\/hed.10101"},{"key":"bibr20-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2007.03.064"},{"key":"bibr21-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-8-41"},{"key":"bibr22-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.radonc.2009.04.014"},{"key":"bibr23-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(10)70017-6"},{"key":"bibr24-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.26500"},{"key":"bibr25-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.anndiagpath.2011.07.003"},{"key":"bibr26-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2010.29.2904"},{"key":"bibr27-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0912217"},{"key":"bibr28-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0078718"},{"key":"bibr29-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2003.01.008"},{"key":"bibr30-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa053422"},{"key":"bibr31-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(10)70279-5"},{"key":"bibr32-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.semradonc.2011.12.004"},{"key":"bibr33-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1053\/hn.1999.v120.a92773"},{"key":"bibr34-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1001\/archotol.134.11.1196"},{"key":"bibr35-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1007\/s00405-012-2117-1"},{"key":"bibr36-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.clon.2011.11.005"},{"key":"bibr37-1533034615572638","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2009.12.055"}],"container-title":["Technology in Cancer Research &amp; Treatment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1533034615572638","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1533034615572638","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1533034615572638","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:24:24Z","timestamp":1777703064000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/1533034615572638"}},"subtitle":["Implications for Adaptive Radiotherapy"],"short-title":[],"issued":{"date-parts":[[2015,3,2]]},"references-count":37,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,2]]}},"alternative-id":["10.1177\/1533034615572638"],"URL":"https:\/\/doi.org\/10.1177\/1533034615572638","relation":{},"ISSN":["1533-0346","1533-0338"],"issn-type":[{"value":"1533-0346","type":"print"},{"value":"1533-0338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3,2]]}}}